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vineethsai7/README.md

Hi, I'm Vineeth Sai Narajala 👋

Senior Technical Lead - AI Security Researcher @ Cisco | Ex-Meta | Ex-AWS

LinkedInWebsiteCisco Blog


About Me

I'm an AI Security Researcher specializing in securing AI systems at scale. Currently at Cisco, I lead initiatives to secure AI systems across networking, security, and infrastructure products. My expertise spans model safety guardrails, prompt-injection protections, compute isolation, and secure token management.

Previously, I've held senior security roles at Meta and Amazon Web Services (AWS), where I pioneered GenAI security practices for flagship products like Amazon Q and Bedrock.

Beyond my corporate roles, I'm deeply involved in the open-source security community through OWASP, where I co-lead initiatives to establish industry-wide security standards for AI systems.


🔬 Current Focus

  • 🛡️ Securing agentic AI systems and multi-agent architectures
  • 🔐 Developing security frameworks for Model Context Protocol (MCP)
  • 📝 Authoring research papers and security standards for GenAI
  • 🎤 Speaking at security conferences (RSA, OWASP Global AppSec, BSides)

🏢 Experience

RoleCompanyPeriod
Senior Technical Lead - AI Security ResearcherCiscoNov 2025 - Present
Senior Security EngineerMetaJul 2025 - Present
Senior Generative AI Security EngineerAWSJun 2024 - Jul 2025
Application Security EngineerAWSNov 2021 - Jun 2024
Security Engineer (DevSecOps, Threat Intel, BCDR)NordstromMay 2020 - Nov 2021

🌐 OWASP Leadership

Contributing to the development of comprehensive threat modeling guides for multi-agentic systems and establishing security best practices for generative AI applications.


🚀 Featured Projects

Scan MCP servers for potential threats & security findings. An open-source tool to identify vulnerabilities in Model Context Protocol implementations.

Scan Agent-to-Agent (A2A) frameworks for potential threats and security issues. Helps organizations secure interconnected networks of autonomous agents.

A community-maintained database of known vulnerabilities, limitations, and security concerns with the Model Context Protocol.

A comprehensive security framework for protecting LLM applications from tool poisoning and rug pull attacks through cryptographic verification and OAuth integration.

Comprehensive security standards and resources for agentic AI systems.


📚 Publications & Research

Google Scholar

Peer-Reviewed Papers & Preprints

TitleVenueYearCitations
Enterprise-Grade Security for the Model Context Protocol (MCP): Frameworks and Mitigation StrategiesarXiv202547
Building a Secure Agentic AI Application Leveraging A2A ProtocolarXiv202540
Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI AgentsarXiv202530
Securing GenAI Multi-Agent Systems Against Tool Squatting: A Zero Trust Registry-Based ApproacharXiv202518
A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access ControlarXiv202515
Agent Name Service (ANS): A Universal Directory for Secure AI Agent Discovery and InteroperabilityarXiv202515
ETDI: Mitigating Tool Squatting and Rug Pull Attacks in MCP Using OAuth-Enhanced Tool DefinitionsarXiv20258
Agent Capability Negotiation and Binding Protocol (ACNBP)arXiv20252
AAGATE: A NIST AI RMF-Aligned Governance Platform for Agentic AIarXiv20251
A2AS: Agentic AI Runtime Security and Self-DefensearXiv20251
Coalesce: Economic and Security Dynamics of Skill-Based Task Outsourcing Among Team of Autonomous LLM AgentsarXiv20251
MAIF: Enforcing AI Trust and Provenance with an Artifact-Centric Agentic ParadigmarXiv2025-

OWASP Publications & Whitepapers

TitleOrganizationYear
Securing Agentic Applications GuideOWASP2025
Multi-Agentic System Threat Modelling GuideOWASP GenAI Security Project2025
AIVSS Scoring System for OWASP Agentic AI Core Security RisksOWASP AIVSS2025
LLM and GenAI Data Security Best PracticesOWASP2025

🎤 Speaking Engagements

Regular speaker at major security conferences including:

  • RSA Conference (San Francisco)
  • OWASP Global AppSec (Boston)
  • BSides (Harrisburg, Austin, Seattle, Baltimore)
  • CypherCon (Milwaukee)

🛠️ Skills & Expertise

Security Domains:AI/ML SecurityCloud SecurityApplication SecurityThreat ModelingPenetration TestingVulnerability AssessmentMalware AnalysisIncident Response

Cloud Platforms:AWSAzureGCPOracle Cloud

Programming:PythonJavaSQLInfrastructure as Code


📊 GitHub Stats

GitHub Stats


📫 Let's Connect

I'm always interested in collaborating on AI security challenges and advancing the security of agentic AI systems.


"Defending Digital Frontiers - Securing AI systems at scale"

Pinned Loading

  1. cisco-ai-defense/mcp-scannercisco-ai-defense/mcp-scannerPublic

    Scan MCP servers for potential threats & security findings.

    Python 1.1k 133

  2. cisco-ai-defense/a2a-scannercisco-ai-defense/a2a-scannerPublic

    Scan A2A agents for potential threats and security issues

    Python 166 30

  3. cisco-ai-defense/skill-scannercisco-ai-defense/skill-scannerPublic

    Security Scanner for Agent Skills

    Python 2.5k 316

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
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}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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vineethsai7/README.md

Hi, I'm Vineeth Sai Narajala 👋

Senior Technical Lead - AI Security Researcher @ Cisco | Ex-Meta | Ex-AWS

LinkedInWebsiteCisco Blog


About Me

I'm an AI Security Researcher specializing in securing AI systems at scale. Currently at Cisco, I lead initiatives to secure AI systems across networking, security, and infrastructure products. My expertise spans model safety guardrails, prompt-injection protections, compute isolation, and secure token management.

Previously, I've held senior security roles at Meta and Amazon Web Services (AWS), where I pioneered GenAI security practices for flagship products like Amazon Q and Bedrock.

Beyond my corporate roles, I'm deeply involved in the open-source security community through OWASP, where I co-lead initiatives to establish industry-wide security standards for AI systems.


🔬 Current Focus

  • 🛡️ Securing agentic AI systems and multi-agent architectures
  • 🔐 Developing security frameworks for Model Context Protocol (MCP)
  • 📝 Authoring research papers and security standards for GenAI
  • 🎤 Speaking at security conferences (RSA, OWASP Global AppSec, BSides)

🏢 Experience

RoleCompanyPeriod
Senior Technical Lead - AI Security ResearcherCiscoNov 2025 - Present
Senior Security EngineerMetaJul 2025 - Present
Senior Generative AI Security EngineerAWSJun 2024 - Jul 2025
Application Security EngineerAWSNov 2021 - Jun 2024
Security Engineer (DevSecOps, Threat Intel, BCDR)NordstromMay 2020 - Nov 2021

🌐 OWASP Leadership

Contributing to the development of comprehensive threat modeling guides for multi-agentic systems and establishing security best practices for generative AI applications.


🚀 Featured Projects

Scan MCP servers for potential threats & security findings. An open-source tool to identify vulnerabilities in Model Context Protocol implementations.

Scan Agent-to-Agent (A2A) frameworks for potential threats and security issues. Helps organizations secure interconnected networks of autonomous agents.

A community-maintained database of known vulnerabilities, limitations, and security concerns with the Model Context Protocol.

A comprehensive security framework for protecting LLM applications from tool poisoning and rug pull attacks through cryptographic verification and OAuth integration.

Comprehensive security standards and resources for agentic AI systems.


📚 Publications & Research

Google Scholar

Peer-Reviewed Papers & Preprints

TitleVenueYearCitations
Enterprise-Grade Security for the Model Context Protocol (MCP): Frameworks and Mitigation StrategiesarXiv202547
Building a Secure Agentic AI Application Leveraging A2A ProtocolarXiv202540
Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI AgentsarXiv202530
Securing GenAI Multi-Agent Systems Against Tool Squatting: A Zero Trust Registry-Based ApproacharXiv202518
A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access ControlarXiv202515
Agent Name Service (ANS): A Universal Directory for Secure AI Agent Discovery and InteroperabilityarXiv202515
ETDI: Mitigating Tool Squatting and Rug Pull Attacks in MCP Using OAuth-Enhanced Tool DefinitionsarXiv20258
Agent Capability Negotiation and Binding Protocol (ACNBP)arXiv20252
AAGATE: A NIST AI RMF-Aligned Governance Platform for Agentic AIarXiv20251
A2AS: Agentic AI Runtime Security and Self-DefensearXiv20251
Coalesce: Economic and Security Dynamics of Skill-Based Task Outsourcing Among Team of Autonomous LLM AgentsarXiv20251
MAIF: Enforcing AI Trust and Provenance with an Artifact-Centric Agentic ParadigmarXiv2025-

OWASP Publications & Whitepapers

TitleOrganizationYear
Securing Agentic Applications GuideOWASP2025
Multi-Agentic System Threat Modelling GuideOWASP GenAI Security Project2025
AIVSS Scoring System for OWASP Agentic AI Core Security RisksOWASP AIVSS2025
LLM and GenAI Data Security Best PracticesOWASP2025

🎤 Speaking Engagements

Regular speaker at major security conferences including:

  • RSA Conference (San Francisco)
  • OWASP Global AppSec (Boston)
  • BSides (Harrisburg, Austin, Seattle, Baltimore)
  • CypherCon (Milwaukee)

🛠️ Skills & Expertise

Security Domains:AI/ML SecurityCloud SecurityApplication SecurityThreat ModelingPenetration TestingVulnerability AssessmentMalware AnalysisIncident Response

Cloud Platforms:AWSAzureGCPOracle Cloud

Programming:PythonJavaSQLInfrastructure as Code


📊 GitHub Stats

GitHub Stats


📫 Let's Connect

I'm always interested in collaborating on AI security challenges and advancing the security of agentic AI systems.


"Defending Digital Frontiers - Securing AI systems at scale"

Pinned Loading

  1. cisco-ai-defense/mcp-scannercisco-ai-defense/mcp-scannerPublic

    Scan MCP servers for potential threats & security findings.

    Python 1.1k 133

  2. cisco-ai-defense/a2a-scannercisco-ai-defense/a2a-scannerPublic

    Scan A2A agents for potential threats and security issues

    Python 166 30

  3. cisco-ai-defense/skill-scannercisco-ai-defense/skill-scannerPublic

    Security Scanner for Agent Skills

    Python 2.5k 316

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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vineethsai7/README.md

Hi, I'm Vineeth Sai Narajala 👋

Senior Technical Lead - AI Security Researcher @ Cisco | Ex-Meta | Ex-AWS

LinkedInWebsiteCisco Blog


About Me

I'm an AI Security Researcher specializing in securing AI systems at scale. Currently at Cisco, I lead initiatives to secure AI systems across networking, security, and infrastructure products. My expertise spans model safety guardrails, prompt-injection protections, compute isolation, and secure token management.

Previously, I've held senior security roles at Meta and Amazon Web Services (AWS), where I pioneered GenAI security practices for flagship products like Amazon Q and Bedrock.

Beyond my corporate roles, I'm deeply involved in the open-source security community through OWASP, where I co-lead initiatives to establish industry-wide security standards for AI systems.


🔬 Current Focus

  • 🛡️ Securing agentic AI systems and multi-agent architectures
  • 🔐 Developing security frameworks for Model Context Protocol (MCP)
  • 📝 Authoring research papers and security standards for GenAI
  • 🎤 Speaking at security conferences (RSA, OWASP Global AppSec, BSides)

🏢 Experience

RoleCompanyPeriod
Senior Technical Lead - AI Security ResearcherCiscoNov 2025 - Present
Senior Security EngineerMetaJul 2025 - Present
Senior Generative AI Security EngineerAWSJun 2024 - Jul 2025
Application Security EngineerAWSNov 2021 - Jun 2024
Security Engineer (DevSecOps, Threat Intel, BCDR)NordstromMay 2020 - Nov 2021

🌐 OWASP Leadership

Contributing to the development of comprehensive threat modeling guides for multi-agentic systems and establishing security best practices for generative AI applications.


🚀 Featured Projects

Scan MCP servers for potential threats & security findings. An open-source tool to identify vulnerabilities in Model Context Protocol implementations.

Scan Agent-to-Agent (A2A) frameworks for potential threats and security issues. Helps organizations secure interconnected networks of autonomous agents.

A community-maintained database of known vulnerabilities, limitations, and security concerns with the Model Context Protocol.

A comprehensive security framework for protecting LLM applications from tool poisoning and rug pull attacks through cryptographic verification and OAuth integration.

Comprehensive security standards and resources for agentic AI systems.


📚 Publications & Research

Google Scholar

Peer-Reviewed Papers & Preprints

TitleVenueYearCitations
Enterprise-Grade Security for the Model Context Protocol (MCP): Frameworks and Mitigation StrategiesarXiv202547
Building a Secure Agentic AI Application Leveraging A2A ProtocolarXiv202540
Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI AgentsarXiv202530
Securing GenAI Multi-Agent Systems Against Tool Squatting: A Zero Trust Registry-Based ApproacharXiv202518
A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access ControlarXiv202515
Agent Name Service (ANS): A Universal Directory for Secure AI Agent Discovery and InteroperabilityarXiv202515
ETDI: Mitigating Tool Squatting and Rug Pull Attacks in MCP Using OAuth-Enhanced Tool DefinitionsarXiv20258
Agent Capability Negotiation and Binding Protocol (ACNBP)arXiv20252
AAGATE: A NIST AI RMF-Aligned Governance Platform for Agentic AIarXiv20251
A2AS: Agentic AI Runtime Security and Self-DefensearXiv20251
Coalesce: Economic and Security Dynamics of Skill-Based Task Outsourcing Among Team of Autonomous LLM AgentsarXiv20251
MAIF: Enforcing AI Trust and Provenance with an Artifact-Centric Agentic ParadigmarXiv2025-

OWASP Publications & Whitepapers

TitleOrganizationYear
Securing Agentic Applications GuideOWASP2025
Multi-Agentic System Threat Modelling GuideOWASP GenAI Security Project2025
AIVSS Scoring System for OWASP Agentic AI Core Security RisksOWASP AIVSS2025
LLM and GenAI Data Security Best PracticesOWASP2025

🎤 Speaking Engagements

Regular speaker at major security conferences including:

  • RSA Conference (San Francisco)
  • OWASP Global AppSec (Boston)
  • BSides (Harrisburg, Austin, Seattle, Baltimore)
  • CypherCon (Milwaukee)

🛠️ Skills & Expertise

Security Domains:AI/ML SecurityCloud SecurityApplication SecurityThreat ModelingPenetration TestingVulnerability AssessmentMalware AnalysisIncident Response

Cloud Platforms:AWSAzureGCPOracle Cloud

Programming:PythonJavaSQLInfrastructure as Code


📊 GitHub Stats

GitHub Stats


📫 Let's Connect

I'm always interested in collaborating on AI security challenges and advancing the security of agentic AI systems.


"Defending Digital Frontiers - Securing AI systems at scale"

Pinned Loading

  1. cisco-ai-defense/mcp-scannercisco-ai-defense/mcp-scannerPublic

    Scan MCP servers for potential threats & security findings.

    Python 1.1k 133

  2. cisco-ai-defense/a2a-scannercisco-ai-defense/a2a-scannerPublic

    Scan A2A agents for potential threats and security issues

    Python 166 30

  3. cisco-ai-defense/skill-scannercisco-ai-defense/skill-scannerPublic

    Security Scanner for Agent Skills

    Python 2.5k 316

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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vineethsai7/README.md

Hi, I'm Vineeth Sai Narajala 👋

Senior Technical Lead - AI Security Researcher @ Cisco | Ex-Meta | Ex-AWS

LinkedInWebsiteCisco Blog


About Me

I'm an AI Security Researcher specializing in securing AI systems at scale. Currently at Cisco, I lead initiatives to secure AI systems across networking, security, and infrastructure products. My expertise spans model safety guardrails, prompt-injection protections, compute isolation, and secure token management.

Previously, I've held senior security roles at Meta and Amazon Web Services (AWS), where I pioneered GenAI security practices for flagship products like Amazon Q and Bedrock.

Beyond my corporate roles, I'm deeply involved in the open-source security community through OWASP, where I co-lead initiatives to establish industry-wide security standards for AI systems.


🔬 Current Focus

  • 🛡️ Securing agentic AI systems and multi-agent architectures
  • 🔐 Developing security frameworks for Model Context Protocol (MCP)
  • 📝 Authoring research papers and security standards for GenAI
  • 🎤 Speaking at security conferences (RSA, OWASP Global AppSec, BSides)

🏢 Experience

RoleCompanyPeriod
Senior Technical Lead - AI Security ResearcherCiscoNov 2025 - Present
Senior Security EngineerMetaJul 2025 - Present
Senior Generative AI Security EngineerAWSJun 2024 - Jul 2025
Application Security EngineerAWSNov 2021 - Jun 2024
Security Engineer (DevSecOps, Threat Intel, BCDR)NordstromMay 2020 - Nov 2021

🌐 OWASP Leadership

Contributing to the development of comprehensive threat modeling guides for multi-agentic systems and establishing security best practices for generative AI applications.


🚀 Featured Projects

Scan MCP servers for potential threats & security findings. An open-source tool to identify vulnerabilities in Model Context Protocol implementations.

Scan Agent-to-Agent (A2A) frameworks for potential threats and security issues. Helps organizations secure interconnected networks of autonomous agents.

A community-maintained database of known vulnerabilities, limitations, and security concerns with the Model Context Protocol.

A comprehensive security framework for protecting LLM applications from tool poisoning and rug pull attacks through cryptographic verification and OAuth integration.

Comprehensive security standards and resources for agentic AI systems.


📚 Publications & Research

Google Scholar

Peer-Reviewed Papers & Preprints

TitleVenueYearCitations
Enterprise-Grade Security for the Model Context Protocol (MCP): Frameworks and Mitigation StrategiesarXiv202547
Building a Secure Agentic AI Application Leveraging A2A ProtocolarXiv202540
Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI AgentsarXiv202530
Securing GenAI Multi-Agent Systems Against Tool Squatting: A Zero Trust Registry-Based ApproacharXiv202518
A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access ControlarXiv202515
Agent Name Service (ANS): A Universal Directory for Secure AI Agent Discovery and InteroperabilityarXiv202515
ETDI: Mitigating Tool Squatting and Rug Pull Attacks in MCP Using OAuth-Enhanced Tool DefinitionsarXiv20258
Agent Capability Negotiation and Binding Protocol (ACNBP)arXiv20252
AAGATE: A NIST AI RMF-Aligned Governance Platform for Agentic AIarXiv20251
A2AS: Agentic AI Runtime Security and Self-DefensearXiv20251
Coalesce: Economic and Security Dynamics of Skill-Based Task Outsourcing Among Team of Autonomous LLM AgentsarXiv20251
MAIF: Enforcing AI Trust and Provenance with an Artifact-Centric Agentic ParadigmarXiv2025-

OWASP Publications & Whitepapers

TitleOrganizationYear
Securing Agentic Applications GuideOWASP2025
Multi-Agentic System Threat Modelling GuideOWASP GenAI Security Project2025
AIVSS Scoring System for OWASP Agentic AI Core Security RisksOWASP AIVSS2025
LLM and GenAI Data Security Best PracticesOWASP2025

🎤 Speaking Engagements

Regular speaker at major security conferences including:

  • RSA Conference (San Francisco)
  • OWASP Global AppSec (Boston)
  • BSides (Harrisburg, Austin, Seattle, Baltimore)
  • CypherCon (Milwaukee)

🛠️ Skills & Expertise

Security Domains:AI/ML SecurityCloud SecurityApplication SecurityThreat ModelingPenetration TestingVulnerability AssessmentMalware AnalysisIncident Response

Cloud Platforms:AWSAzureGCPOracle Cloud

Programming:PythonJavaSQLInfrastructure as Code


📊 GitHub Stats

GitHub Stats


📫 Let's Connect

I'm always interested in collaborating on AI security challenges and advancing the security of agentic AI systems.


"Defending Digital Frontiers - Securing AI systems at scale"

Pinned Loading

  1. cisco-ai-defense/mcp-scannercisco-ai-defense/mcp-scannerPublic

    Scan MCP servers for potential threats & security findings.

    Python 1.1k 133

  2. cisco-ai-defense/a2a-scannercisco-ai-defense/a2a-scannerPublic

    Scan A2A agents for potential threats and security issues

    Python 166 30

  3. cisco-ai-defense/skill-scannercisco-ai-defense/skill-scannerPublic

    Security Scanner for Agent Skills

    Python 2.5k 316

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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vineethsai7/README.md

Hi, I'm Vineeth Sai Narajala 👋

Senior Technical Lead - AI Security Researcher @ Cisco | Ex-Meta | Ex-AWS

LinkedInWebsiteCisco Blog


About Me

I'm an AI Security Researcher specializing in securing AI systems at scale. Currently at Cisco, I lead initiatives to secure AI systems across networking, security, and infrastructure products. My expertise spans model safety guardrails, prompt-injection protections, compute isolation, and secure token management.

Previously, I've held senior security roles at Meta and Amazon Web Services (AWS), where I pioneered GenAI security practices for flagship products like Amazon Q and Bedrock.

Beyond my corporate roles, I'm deeply involved in the open-source security community through OWASP, where I co-lead initiatives to establish industry-wide security standards for AI systems.


🔬 Current Focus

  • 🛡️ Securing agentic AI systems and multi-agent architectures
  • 🔐 Developing security frameworks for Model Context Protocol (MCP)
  • 📝 Authoring research papers and security standards for GenAI
  • 🎤 Speaking at security conferences (RSA, OWASP Global AppSec, BSides)

🏢 Experience

RoleCompanyPeriod
Senior Technical Lead - AI Security ResearcherCiscoNov 2025 - Present
Senior Security EngineerMetaJul 2025 - Present
Senior Generative AI Security EngineerAWSJun 2024 - Jul 2025
Application Security EngineerAWSNov 2021 - Jun 2024
Security Engineer (DevSecOps, Threat Intel, BCDR)NordstromMay 2020 - Nov 2021

🌐 OWASP Leadership

Contributing to the development of comprehensive threat modeling guides for multi-agentic systems and establishing security best practices for generative AI applications.


🚀 Featured Projects

Scan MCP servers for potential threats & security findings. An open-source tool to identify vulnerabilities in Model Context Protocol implementations.

Scan Agent-to-Agent (A2A) frameworks for potential threats and security issues. Helps organizations secure interconnected networks of autonomous agents.

A community-maintained database of known vulnerabilities, limitations, and security concerns with the Model Context Protocol.

A comprehensive security framework for protecting LLM applications from tool poisoning and rug pull attacks through cryptographic verification and OAuth integration.

Comprehensive security standards and resources for agentic AI systems.


📚 Publications & Research

Google Scholar

Peer-Reviewed Papers & Preprints

TitleVenueYearCitations
Enterprise-Grade Security for the Model Context Protocol (MCP): Frameworks and Mitigation StrategiesarXiv202547
Building a Secure Agentic AI Application Leveraging A2A ProtocolarXiv202540
Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI AgentsarXiv202530
Securing GenAI Multi-Agent Systems Against Tool Squatting: A Zero Trust Registry-Based ApproacharXiv202518
A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access ControlarXiv202515
Agent Name Service (ANS): A Universal Directory for Secure AI Agent Discovery and InteroperabilityarXiv202515
ETDI: Mitigating Tool Squatting and Rug Pull Attacks in MCP Using OAuth-Enhanced Tool DefinitionsarXiv20258
Agent Capability Negotiation and Binding Protocol (ACNBP)arXiv20252
AAGATE: A NIST AI RMF-Aligned Governance Platform for Agentic AIarXiv20251
A2AS: Agentic AI Runtime Security and Self-DefensearXiv20251
Coalesce: Economic and Security Dynamics of Skill-Based Task Outsourcing Among Team of Autonomous LLM AgentsarXiv20251
MAIF: Enforcing AI Trust and Provenance with an Artifact-Centric Agentic ParadigmarXiv2025-

OWASP Publications & Whitepapers

TitleOrganizationYear
Securing Agentic Applications GuideOWASP2025
Multi-Agentic System Threat Modelling GuideOWASP GenAI Security Project2025
AIVSS Scoring System for OWASP Agentic AI Core Security RisksOWASP AIVSS2025
LLM and GenAI Data Security Best PracticesOWASP2025

🎤 Speaking Engagements

Regular speaker at major security conferences including:

  • RSA Conference (San Francisco)
  • OWASP Global AppSec (Boston)
  • BSides (Harrisburg, Austin, Seattle, Baltimore)
  • CypherCon (Milwaukee)

🛠️ Skills & Expertise

Security Domains:AI/ML SecurityCloud SecurityApplication SecurityThreat ModelingPenetration TestingVulnerability AssessmentMalware AnalysisIncident Response

Cloud Platforms:AWSAzureGCPOracle Cloud

Programming:PythonJavaSQLInfrastructure as Code


📊 GitHub Stats

GitHub Stats


📫 Let's Connect

I'm always interested in collaborating on AI security challenges and advancing the security of agentic AI systems.


"Defending Digital Frontiers - Securing AI systems at scale"

Pinned Loading

  1. cisco-ai-defense/mcp-scannercisco-ai-defense/mcp-scannerPublic

    Scan MCP servers for potential threats & security findings.

    Python 1.1k 133

  2. cisco-ai-defense/a2a-scannercisco-ai-defense/a2a-scannerPublic

    Scan A2A agents for potential threats and security issues

    Python 166 30

  3. cisco-ai-defense/skill-scannercisco-ai-defense/skill-scannerPublic

    Security Scanner for Agent Skills

    Python 2.5k 316

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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vineethsai7/README.md

Hi, I'm Vineeth Sai Narajala 👋

Senior Technical Lead - AI Security Researcher @ Cisco | Ex-Meta | Ex-AWS

LinkedInWebsiteCisco Blog


About Me

I'm an AI Security Researcher specializing in securing AI systems at scale. Currently at Cisco, I lead initiatives to secure AI systems across networking, security, and infrastructure products. My expertise spans model safety guardrails, prompt-injection protections, compute isolation, and secure token management.

Previously, I've held senior security roles at Meta and Amazon Web Services (AWS), where I pioneered GenAI security practices for flagship products like Amazon Q and Bedrock.

Beyond my corporate roles, I'm deeply involved in the open-source security community through OWASP, where I co-lead initiatives to establish industry-wide security standards for AI systems.


🔬 Current Focus

  • 🛡️ Securing agentic AI systems and multi-agent architectures
  • 🔐 Developing security frameworks for Model Context Protocol (MCP)
  • 📝 Authoring research papers and security standards for GenAI
  • 🎤 Speaking at security conferences (RSA, OWASP Global AppSec, BSides)

🏢 Experience

RoleCompanyPeriod
Senior Technical Lead - AI Security ResearcherCiscoNov 2025 - Present
Senior Security EngineerMetaJul 2025 - Present
Senior Generative AI Security EngineerAWSJun 2024 - Jul 2025
Application Security EngineerAWSNov 2021 - Jun 2024
Security Engineer (DevSecOps, Threat Intel, BCDR)NordstromMay 2020 - Nov 2021

🌐 OWASP Leadership

Contributing to the development of comprehensive threat modeling guides for multi-agentic systems and establishing security best practices for generative AI applications.


🚀 Featured Projects

Scan MCP servers for potential threats & security findings. An open-source tool to identify vulnerabilities in Model Context Protocol implementations.

Scan Agent-to-Agent (A2A) frameworks for potential threats and security issues. Helps organizations secure interconnected networks of autonomous agents.

A community-maintained database of known vulnerabilities, limitations, and security concerns with the Model Context Protocol.

A comprehensive security framework for protecting LLM applications from tool poisoning and rug pull attacks through cryptographic verification and OAuth integration.

Comprehensive security standards and resources for agentic AI systems.


📚 Publications & Research

Google Scholar

Peer-Reviewed Papers & Preprints

TitleVenueYearCitations
Enterprise-Grade Security for the Model Context Protocol (MCP): Frameworks and Mitigation StrategiesarXiv202547
Building a Secure Agentic AI Application Leveraging A2A ProtocolarXiv202540
Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI AgentsarXiv202530
Securing GenAI Multi-Agent Systems Against Tool Squatting: A Zero Trust Registry-Based ApproacharXiv202518
A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access ControlarXiv202515
Agent Name Service (ANS): A Universal Directory for Secure AI Agent Discovery and InteroperabilityarXiv202515
ETDI: Mitigating Tool Squatting and Rug Pull Attacks in MCP Using OAuth-Enhanced Tool DefinitionsarXiv20258
Agent Capability Negotiation and Binding Protocol (ACNBP)arXiv20252
AAGATE: A NIST AI RMF-Aligned Governance Platform for Agentic AIarXiv20251
A2AS: Agentic AI Runtime Security and Self-DefensearXiv20251
Coalesce: Economic and Security Dynamics of Skill-Based Task Outsourcing Among Team of Autonomous LLM AgentsarXiv20251
MAIF: Enforcing AI Trust and Provenance with an Artifact-Centric Agentic ParadigmarXiv2025-

OWASP Publications & Whitepapers

TitleOrganizationYear
Securing Agentic Applications GuideOWASP2025
Multi-Agentic System Threat Modelling GuideOWASP GenAI Security Project2025
AIVSS Scoring System for OWASP Agentic AI Core Security RisksOWASP AIVSS2025
LLM and GenAI Data Security Best PracticesOWASP2025

🎤 Speaking Engagements

Regular speaker at major security conferences including:

  • RSA Conference (San Francisco)
  • OWASP Global AppSec (Boston)
  • BSides (Harrisburg, Austin, Seattle, Baltimore)
  • CypherCon (Milwaukee)

🛠️ Skills & Expertise

Security Domains:AI/ML SecurityCloud SecurityApplication SecurityThreat ModelingPenetration TestingVulnerability AssessmentMalware AnalysisIncident Response

Cloud Platforms:AWSAzureGCPOracle Cloud

Programming:PythonJavaSQLInfrastructure as Code


📊 GitHub Stats

GitHub Stats


📫 Let's Connect

I'm always interested in collaborating on AI security challenges and advancing the security of agentic AI systems.


"Defending Digital Frontiers - Securing AI systems at scale"

Pinned Loading

  1. cisco-ai-defense/mcp-scannercisco-ai-defense/mcp-scannerPublic

    Scan MCP servers for potential threats & security findings.

    Python 1.1k 133

  2. cisco-ai-defense/a2a-scannercisco-ai-defense/a2a-scannerPublic

    Scan A2A agents for potential threats and security issues

    Python 166 30

  3. cisco-ai-defense/skill-scannercisco-ai-defense/skill-scannerPublic

    Security Scanner for Agent Skills

    Python 2.5k 316

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content
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Block user

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vineethsai7/README.md

Hi, I'm Vineeth Sai Narajala 👋

Senior Technical Lead - AI Security Researcher @ Cisco | Ex-Meta | Ex-AWS

LinkedInWebsiteCisco Blog


About Me

I'm an AI Security Researcher specializing in securing AI systems at scale. Currently at Cisco, I lead initiatives to secure AI systems across networking, security, and infrastructure products. My expertise spans model safety guardrails, prompt-injection protections, compute isolation, and secure token management.

Previously, I've held senior security roles at Meta and Amazon Web Services (AWS), where I pioneered GenAI security practices for flagship products like Amazon Q and Bedrock.

Beyond my corporate roles, I'm deeply involved in the open-source security community through OWASP, where I co-lead initiatives to establish industry-wide security standards for AI systems.


🔬 Current Focus

  • 🛡️ Securing agentic AI systems and multi-agent architectures
  • 🔐 Developing security frameworks for Model Context Protocol (MCP)
  • 📝 Authoring research papers and security standards for GenAI
  • 🎤 Speaking at security conferences (RSA, OWASP Global AppSec, BSides)

🏢 Experience

RoleCompanyPeriod
Senior Technical Lead - AI Security ResearcherCiscoNov 2025 - Present
Senior Security EngineerMetaJul 2025 - Present
Senior Generative AI Security EngineerAWSJun 2024 - Jul 2025
Application Security EngineerAWSNov 2021 - Jun 2024
Security Engineer (DevSecOps, Threat Intel, BCDR)NordstromMay 2020 - Nov 2021

🌐 OWASP Leadership

Contributing to the development of comprehensive threat modeling guides for multi-agentic systems and establishing security best practices for generative AI applications.


🚀 Featured Projects

Scan MCP servers for potential threats & security findings. An open-source tool to identify vulnerabilities in Model Context Protocol implementations.

Scan Agent-to-Agent (A2A) frameworks for potential threats and security issues. Helps organizations secure interconnected networks of autonomous agents.

A community-maintained database of known vulnerabilities, limitations, and security concerns with the Model Context Protocol.

A comprehensive security framework for protecting LLM applications from tool poisoning and rug pull attacks through cryptographic verification and OAuth integration.

Comprehensive security standards and resources for agentic AI systems.


📚 Publications & Research

Google Scholar

Peer-Reviewed Papers & Preprints

TitleVenueYearCitations
Enterprise-Grade Security for the Model Context Protocol (MCP): Frameworks and Mitigation StrategiesarXiv202547
Building a Secure Agentic AI Application Leveraging A2A ProtocolarXiv202540
Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI AgentsarXiv202530
Securing GenAI Multi-Agent Systems Against Tool Squatting: A Zero Trust Registry-Based ApproacharXiv202518
A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access ControlarXiv202515
Agent Name Service (ANS): A Universal Directory for Secure AI Agent Discovery and InteroperabilityarXiv202515
ETDI: Mitigating Tool Squatting and Rug Pull Attacks in MCP Using OAuth-Enhanced Tool DefinitionsarXiv20258
Agent Capability Negotiation and Binding Protocol (ACNBP)arXiv20252
AAGATE: A NIST AI RMF-Aligned Governance Platform for Agentic AIarXiv20251
A2AS: Agentic AI Runtime Security and Self-DefensearXiv20251
Coalesce: Economic and Security Dynamics of Skill-Based Task Outsourcing Among Team of Autonomous LLM AgentsarXiv20251
MAIF: Enforcing AI Trust and Provenance with an Artifact-Centric Agentic ParadigmarXiv2025-

OWASP Publications & Whitepapers

TitleOrganizationYear
Securing Agentic Applications GuideOWASP2025
Multi-Agentic System Threat Modelling GuideOWASP GenAI Security Project2025
AIVSS Scoring System for OWASP Agentic AI Core Security RisksOWASP AIVSS2025
LLM and GenAI Data Security Best PracticesOWASP2025

🎤 Speaking Engagements

Regular speaker at major security conferences including:

  • RSA Conference (San Francisco)
  • OWASP Global AppSec (Boston)
  • BSides (Harrisburg, Austin, Seattle, Baltimore)
  • CypherCon (Milwaukee)

🛠️ Skills & Expertise

Security Domains:AI/ML SecurityCloud SecurityApplication SecurityThreat ModelingPenetration TestingVulnerability AssessmentMalware AnalysisIncident Response

Cloud Platforms:AWSAzureGCPOracle Cloud

Programming:PythonJavaSQLInfrastructure as Code


📊 GitHub Stats

GitHub Stats


📫 Let's Connect

I'm always interested in collaborating on AI security challenges and advancing the security of agentic AI systems.


"Defending Digital Frontiers - Securing AI systems at scale"

Pinned Loading

  1. cisco-ai-defense/mcp-scannercisco-ai-defense/mcp-scannerPublic

    Scan MCP servers for potential threats & security findings.

    Python 1.1k 133

  2. cisco-ai-defense/a2a-scannercisco-ai-defense/a2a-scannerPublic

    Scan A2A agents for potential threats and security issues

    Python 166 30

  3. cisco-ai-defense/skill-scannercisco-ai-defense/skill-scannerPublic

    Security Scanner for Agent Skills

    Python 2.5k 316

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content
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vineethsai7/README.md

Hi, I'm Vineeth Sai Narajala 👋

Senior Technical Lead - AI Security Researcher @ Cisco | Ex-Meta | Ex-AWS

LinkedInWebsiteCisco Blog


About Me

I'm an AI Security Researcher specializing in securing AI systems at scale. Currently at Cisco, I lead initiatives to secure AI systems across networking, security, and infrastructure products. My expertise spans model safety guardrails, prompt-injection protections, compute isolation, and secure token management.

Previously, I've held senior security roles at Meta and Amazon Web Services (AWS), where I pioneered GenAI security practices for flagship products like Amazon Q and Bedrock.

Beyond my corporate roles, I'm deeply involved in the open-source security community through OWASP, where I co-lead initiatives to establish industry-wide security standards for AI systems.


🔬 Current Focus

  • 🛡️ Securing agentic AI systems and multi-agent architectures
  • 🔐 Developing security frameworks for Model Context Protocol (MCP)
  • 📝 Authoring research papers and security standards for GenAI
  • 🎤 Speaking at security conferences (RSA, OWASP Global AppSec, BSides)

🏢 Experience

RoleCompanyPeriod
Senior Technical Lead - AI Security ResearcherCiscoNov 2025 - Present
Senior Security EngineerMetaJul 2025 - Present
Senior Generative AI Security EngineerAWSJun 2024 - Jul 2025
Application Security EngineerAWSNov 2021 - Jun 2024
Security Engineer (DevSecOps, Threat Intel, BCDR)NordstromMay 2020 - Nov 2021

🌐 OWASP Leadership

Contributing to the development of comprehensive threat modeling guides for multi-agentic systems and establishing security best practices for generative AI applications.


🚀 Featured Projects

Scan MCP servers for potential threats & security findings. An open-source tool to identify vulnerabilities in Model Context Protocol implementations.

Scan Agent-to-Agent (A2A) frameworks for potential threats and security issues. Helps organizations secure interconnected networks of autonomous agents.

A community-maintained database of known vulnerabilities, limitations, and security concerns with the Model Context Protocol.

A comprehensive security framework for protecting LLM applications from tool poisoning and rug pull attacks through cryptographic verification and OAuth integration.

Comprehensive security standards and resources for agentic AI systems.


📚 Publications & Research

Google Scholar

Peer-Reviewed Papers & Preprints

TitleVenueYearCitations
Enterprise-Grade Security for the Model Context Protocol (MCP): Frameworks and Mitigation StrategiesarXiv202547
Building a Secure Agentic AI Application Leveraging A2A ProtocolarXiv202540
Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI AgentsarXiv202530
Securing GenAI Multi-Agent Systems Against Tool Squatting: A Zero Trust Registry-Based ApproacharXiv202518
A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access ControlarXiv202515
Agent Name Service (ANS): A Universal Directory for Secure AI Agent Discovery and InteroperabilityarXiv202515
ETDI: Mitigating Tool Squatting and Rug Pull Attacks in MCP Using OAuth-Enhanced Tool DefinitionsarXiv20258
Agent Capability Negotiation and Binding Protocol (ACNBP)arXiv20252
AAGATE: A NIST AI RMF-Aligned Governance Platform for Agentic AIarXiv20251
A2AS: Agentic AI Runtime Security and Self-DefensearXiv20251
Coalesce: Economic and Security Dynamics of Skill-Based Task Outsourcing Among Team of Autonomous LLM AgentsarXiv20251
MAIF: Enforcing AI Trust and Provenance with an Artifact-Centric Agentic ParadigmarXiv2025-

OWASP Publications & Whitepapers

TitleOrganizationYear
Securing Agentic Applications GuideOWASP2025
Multi-Agentic System Threat Modelling GuideOWASP GenAI Security Project2025
AIVSS Scoring System for OWASP Agentic AI Core Security RisksOWASP AIVSS2025
LLM and GenAI Data Security Best PracticesOWASP2025

🎤 Speaking Engagements

Regular speaker at major security conferences including:

  • RSA Conference (San Francisco)
  • OWASP Global AppSec (Boston)
  • BSides (Harrisburg, Austin, Seattle, Baltimore)
  • CypherCon (Milwaukee)

🛠️ Skills & Expertise

Security Domains:AI/ML SecurityCloud SecurityApplication SecurityThreat ModelingPenetration TestingVulnerability AssessmentMalware AnalysisIncident Response

Cloud Platforms:AWSAzureGCPOracle Cloud

Programming:PythonJavaSQLInfrastructure as Code


📊 GitHub Stats

GitHub Stats


📫 Let's Connect

I'm always interested in collaborating on AI security challenges and advancing the security of agentic AI systems.


"Defending Digital Frontiers - Securing AI systems at scale"

Pinned Loading

  1. cisco-ai-defense/mcp-scannercisco-ai-defense/mcp-scannerPublic

    Scan MCP servers for potential threats & security findings.

    Python 1.1k 133

  2. cisco-ai-defense/a2a-scannercisco-ai-defense/a2a-scannerPublic

    Scan A2A agents for potential threats and security issues

    Python 166 30

  3. cisco-ai-defense/skill-scannercisco-ai-defense/skill-scannerPublic

    Security Scanner for Agent Skills

    Python 2.5k 316