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I write the policy. Then I break the system it was meant to protect.
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I write the policy. Then I break the system it was meant to protect.

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MeghvShetty/README.md

Megh V Shetty

AppSec Engineer · AI & ML Security · Financial Services

I specialise in securing AI-native systems — from threat modelling LLM pipelines and agentic frameworks to embedding security controls into engineering SDLCs at scale.

Currently on the Data, ML & AI Security team at a UK systemically important financial institution, where I've authored group-wide AI security policy and built security tooling adopted into production.


What I Work On

AI & LLM Security Threat modelling of RAG pipelines, agentic AI systems, and GenAI integrations. Hands-on with prompt injection, model extraction, and adversarial input testing. Currently pursuing HTB Certified Offensive AI Expert (COAE).

Application Security Engineering SAST/SCA pipeline integration via Semgrep and Checkmarx. DAST with Burp Suite. Secure SDLC design and developer security enablement across large engineering organisations.

Security Tooling Built Apollo-24 in Go — a Security Impact Rating automation tool deployed in a regulated financial services environment. Reduced security triage overhead and enforced classification consistency across engineering teams.

Governance & Standards ISO 42001 (AI Management Systems). Co-Authored group-wide AI Security Standard aligned to UK AI Code of Practice, NIST AI RMF, and ISO 27001.


Projects

🔧 HERALD — TLS forward proxy for routing API traffic through enterprise egress controls


Certifications

CertificationBodyStatus
Generative AI Leader CertificationGoogle Cloud Platform✅ Certified
HTB Certified Offensive AI ExpertHack The Box🔄 In Progress
AWSAmazon Web Services✅ Certified
mitre att&ckAttackIQ✅ Certified
Accredible BadgeIriusRisk✅ Certified
Credly BadgeIBM✅ Certified

Tech

LanguagesGo · Python · Bash
AppSec — Semgrep · Checkmarx · Burp Suite · OWASP ZAP
AI/ML — Griptape · Google ADK · Vertex AI · RAG · pgvector
Cloud & IaC — AWS · GCP · Docker · Terraform · GitHub Actions
Standards — ISO 27001 · ISO 42001(applied) · NIST · OWASP · STRIDE · MITRE ATT&CK


CTF

🏆 CSO Tech Day 3 — 8th / 26 (Oct 2024) — certificate


Writing

📝 meghshetty.medium.com
Latest: I built a red team agent to test Google's Model Armor — read it here


MSc Information Security — Royal Holloway, University of London

Pinned Loading

  1. model-armor-redteammodel-armor-redteamPublic

    An adversarial AI security testing framework that deploys a GCP AI firewall via IaC, then runs an autonomous red team agent against it across 5 attack categories.

    HCL 1 1

  2. Apollo-24Apollo-24Public

    Security Impact Rating automation tool — built in Go, deployed in a regulated financial services environment.

    Go

  3. ai-security-researchai-security-researchPublic

    Hands-on AI security research — LLM threat models, prompt injection testing, and offensive AI techniques. Lab work from HTB COAE and beyond.

    Jupyter Notebook 1

  4. c0d3x-io/heraldc0d3x-io/heraldPublic

    TLS forward proxy for routing API traffic through enterprise egress controls.

    Go

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} 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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View MeghvShetty's full-sized avatar
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I write the policy. Then I break the system it was meant to protect.
:octocat:
I write the policy. Then I break the system it was meant to protect.

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MeghvShetty/README.md

Megh V Shetty

AppSec Engineer · AI & ML Security · Financial Services

I specialise in securing AI-native systems — from threat modelling LLM pipelines and agentic frameworks to embedding security controls into engineering SDLCs at scale.

Currently on the Data, ML & AI Security team at a UK systemically important financial institution, where I've authored group-wide AI security policy and built security tooling adopted into production.


What I Work On

AI & LLM Security Threat modelling of RAG pipelines, agentic AI systems, and GenAI integrations. Hands-on with prompt injection, model extraction, and adversarial input testing. Currently pursuing HTB Certified Offensive AI Expert (COAE).

Application Security Engineering SAST/SCA pipeline integration via Semgrep and Checkmarx. DAST with Burp Suite. Secure SDLC design and developer security enablement across large engineering organisations.

Security Tooling Built Apollo-24 in Go — a Security Impact Rating automation tool deployed in a regulated financial services environment. Reduced security triage overhead and enforced classification consistency across engineering teams.

Governance & Standards ISO 42001 (AI Management Systems). Co-Authored group-wide AI Security Standard aligned to UK AI Code of Practice, NIST AI RMF, and ISO 27001.


Projects

🔧 HERALD — TLS forward proxy for routing API traffic through enterprise egress controls


Certifications

CertificationBodyStatus
Generative AI Leader CertificationGoogle Cloud Platform✅ Certified
HTB Certified Offensive AI ExpertHack The Box🔄 In Progress
AWSAmazon Web Services✅ Certified
mitre att&ckAttackIQ✅ Certified
Accredible BadgeIriusRisk✅ Certified
Credly BadgeIBM✅ Certified

Tech

LanguagesGo · Python · Bash
AppSec — Semgrep · Checkmarx · Burp Suite · OWASP ZAP
AI/ML — Griptape · Google ADK · Vertex AI · RAG · pgvector
Cloud & IaC — AWS · GCP · Docker · Terraform · GitHub Actions
Standards — ISO 27001 · ISO 42001(applied) · NIST · OWASP · STRIDE · MITRE ATT&CK


CTF

🏆 CSO Tech Day 3 — 8th / 26 (Oct 2024) — certificate


Writing

📝 meghshetty.medium.com
Latest: I built a red team agent to test Google's Model Armor — read it here


MSc Information Security — Royal Holloway, University of London

Pinned Loading

  1. model-armor-redteammodel-armor-redteamPublic

    An adversarial AI security testing framework that deploys a GCP AI firewall via IaC, then runs an autonomous red team agent against it across 5 attack categories.

    HCL 1 1

  2. Apollo-24Apollo-24Public

    Security Impact Rating automation tool — built in Go, deployed in a regulated financial services environment.

    Go

  3. ai-security-researchai-security-researchPublic

    Hands-on AI security research — LLM threat models, prompt injection testing, and offensive AI techniques. Lab work from HTB COAE and beyond.

    Jupyter Notebook 1

  4. c0d3x-io/heraldc0d3x-io/heraldPublic

    TLS forward proxy for routing API traffic through enterprise egress controls.

    Go

, '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('^' + ".*" + '
Skip to content
View MeghvShetty's full-sized avatar
:octocat:
I write the policy. Then I break the system it was meant to protect.
:octocat:
I write the policy. Then I break the system it was meant to protect.

Block or report MeghvShetty

Block user

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MeghvShetty/README.md

Megh V Shetty

AppSec Engineer · AI & ML Security · Financial Services

I specialise in securing AI-native systems — from threat modelling LLM pipelines and agentic frameworks to embedding security controls into engineering SDLCs at scale.

Currently on the Data, ML & AI Security team at a UK systemically important financial institution, where I've authored group-wide AI security policy and built security tooling adopted into production.


What I Work On

AI & LLM Security Threat modelling of RAG pipelines, agentic AI systems, and GenAI integrations. Hands-on with prompt injection, model extraction, and adversarial input testing. Currently pursuing HTB Certified Offensive AI Expert (COAE).

Application Security Engineering SAST/SCA pipeline integration via Semgrep and Checkmarx. DAST with Burp Suite. Secure SDLC design and developer security enablement across large engineering organisations.

Security Tooling Built Apollo-24 in Go — a Security Impact Rating automation tool deployed in a regulated financial services environment. Reduced security triage overhead and enforced classification consistency across engineering teams.

Governance & Standards ISO 42001 (AI Management Systems). Co-Authored group-wide AI Security Standard aligned to UK AI Code of Practice, NIST AI RMF, and ISO 27001.


Projects

🔧 HERALD — TLS forward proxy for routing API traffic through enterprise egress controls


Certifications

CertificationBodyStatus
Generative AI Leader CertificationGoogle Cloud Platform✅ Certified
HTB Certified Offensive AI ExpertHack The Box🔄 In Progress
AWSAmazon Web Services✅ Certified
mitre att&ckAttackIQ✅ Certified
Accredible BadgeIriusRisk✅ Certified
Credly BadgeIBM✅ Certified

Tech

LanguagesGo · Python · Bash
AppSec — Semgrep · Checkmarx · Burp Suite · OWASP ZAP
AI/ML — Griptape · Google ADK · Vertex AI · RAG · pgvector
Cloud & IaC — AWS · GCP · Docker · Terraform · GitHub Actions
Standards — ISO 27001 · ISO 42001(applied) · NIST · OWASP · STRIDE · MITRE ATT&CK


CTF

🏆 CSO Tech Day 3 — 8th / 26 (Oct 2024) — certificate


Writing

📝 meghshetty.medium.com
Latest: I built a red team agent to test Google's Model Armor — read it here


MSc Information Security — Royal Holloway, University of London

Pinned Loading

  1. model-armor-redteammodel-armor-redteamPublic

    An adversarial AI security testing framework that deploys a GCP AI firewall via IaC, then runs an autonomous red team agent against it across 5 attack categories.

    HCL 1 1

  2. Apollo-24Apollo-24Public

    Security Impact Rating automation tool — built in Go, deployed in a regulated financial services environment.

    Go

  3. ai-security-researchai-security-researchPublic

    Hands-on AI security research — LLM threat models, prompt injection testing, and offensive AI techniques. Lab work from HTB COAE and beyond.

    Jupyter Notebook 1

  4. c0d3x-io/heraldc0d3x-io/heraldPublic

    TLS forward proxy for routing API traffic through enterprise egress controls.

    Go

, '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('^' + ".*" + '
Skip to content
View MeghvShetty's full-sized avatar
:octocat:
I write the policy. Then I break the system it was meant to protect.
:octocat:
I write the policy. Then I break the system it was meant to protect.

Block or report MeghvShetty

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

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MeghvShetty/README.md

Megh V Shetty

AppSec Engineer · AI & ML Security · Financial Services

I specialise in securing AI-native systems — from threat modelling LLM pipelines and agentic frameworks to embedding security controls into engineering SDLCs at scale.

Currently on the Data, ML & AI Security team at a UK systemically important financial institution, where I've authored group-wide AI security policy and built security tooling adopted into production.


What I Work On

AI & LLM Security Threat modelling of RAG pipelines, agentic AI systems, and GenAI integrations. Hands-on with prompt injection, model extraction, and adversarial input testing. Currently pursuing HTB Certified Offensive AI Expert (COAE).

Application Security Engineering SAST/SCA pipeline integration via Semgrep and Checkmarx. DAST with Burp Suite. Secure SDLC design and developer security enablement across large engineering organisations.

Security Tooling Built Apollo-24 in Go — a Security Impact Rating automation tool deployed in a regulated financial services environment. Reduced security triage overhead and enforced classification consistency across engineering teams.

Governance & Standards ISO 42001 (AI Management Systems). Co-Authored group-wide AI Security Standard aligned to UK AI Code of Practice, NIST AI RMF, and ISO 27001.


Projects

🔧 HERALD — TLS forward proxy for routing API traffic through enterprise egress controls


Certifications

CertificationBodyStatus
Generative AI Leader CertificationGoogle Cloud Platform✅ Certified
HTB Certified Offensive AI ExpertHack The Box🔄 In Progress
AWSAmazon Web Services✅ Certified
mitre att&ckAttackIQ✅ Certified
Accredible BadgeIriusRisk✅ Certified
Credly BadgeIBM✅ Certified

Tech

LanguagesGo · Python · Bash
AppSec — Semgrep · Checkmarx · Burp Suite · OWASP ZAP
AI/ML — Griptape · Google ADK · Vertex AI · RAG · pgvector
Cloud & IaC — AWS · GCP · Docker · Terraform · GitHub Actions
Standards — ISO 27001 · ISO 42001(applied) · NIST · OWASP · STRIDE · MITRE ATT&CK


CTF

🏆 CSO Tech Day 3 — 8th / 26 (Oct 2024) — certificate


Writing

📝 meghshetty.medium.com
Latest: I built a red team agent to test Google's Model Armor — read it here


MSc Information Security — Royal Holloway, University of London

Pinned Loading

  1. model-armor-redteammodel-armor-redteamPublic

    An adversarial AI security testing framework that deploys a GCP AI firewall via IaC, then runs an autonomous red team agent against it across 5 attack categories.

    HCL 1 1

  2. Apollo-24Apollo-24Public

    Security Impact Rating automation tool — built in Go, deployed in a regulated financial services environment.

    Go

  3. ai-security-researchai-security-researchPublic

    Hands-on AI security research — LLM threat models, prompt injection testing, and offensive AI techniques. Lab work from HTB COAE and beyond.

    Jupyter Notebook 1

  4. c0d3x-io/heraldc0d3x-io/heraldPublic

    TLS forward proxy for routing API traffic through enterprise egress controls.

    Go

, '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" + '
Skip to content
View MeghvShetty's full-sized avatar
:octocat:
I write the policy. Then I break the system it was meant to protect.
:octocat:
I write the policy. Then I break the system it was meant to protect.

Block or report MeghvShetty

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MeghvShetty/README.md

Megh V Shetty

AppSec Engineer · AI & ML Security · Financial Services

I specialise in securing AI-native systems — from threat modelling LLM pipelines and agentic frameworks to embedding security controls into engineering SDLCs at scale.

Currently on the Data, ML & AI Security team at a UK systemically important financial institution, where I've authored group-wide AI security policy and built security tooling adopted into production.


What I Work On

AI & LLM Security Threat modelling of RAG pipelines, agentic AI systems, and GenAI integrations. Hands-on with prompt injection, model extraction, and adversarial input testing. Currently pursuing HTB Certified Offensive AI Expert (COAE).

Application Security Engineering SAST/SCA pipeline integration via Semgrep and Checkmarx. DAST with Burp Suite. Secure SDLC design and developer security enablement across large engineering organisations.

Security Tooling Built Apollo-24 in Go — a Security Impact Rating automation tool deployed in a regulated financial services environment. Reduced security triage overhead and enforced classification consistency across engineering teams.

Governance & Standards ISO 42001 (AI Management Systems). Co-Authored group-wide AI Security Standard aligned to UK AI Code of Practice, NIST AI RMF, and ISO 27001.


Projects

🔧 HERALD — TLS forward proxy for routing API traffic through enterprise egress controls


Certifications

CertificationBodyStatus
Generative AI Leader CertificationGoogle Cloud Platform✅ Certified
HTB Certified Offensive AI ExpertHack The Box🔄 In Progress
AWSAmazon Web Services✅ Certified
mitre att&ckAttackIQ✅ Certified
Accredible BadgeIriusRisk✅ Certified
Credly BadgeIBM✅ Certified

Tech

LanguagesGo · Python · Bash
AppSec — Semgrep · Checkmarx · Burp Suite · OWASP ZAP
AI/ML — Griptape · Google ADK · Vertex AI · RAG · pgvector
Cloud & IaC — AWS · GCP · Docker · Terraform · GitHub Actions
Standards — ISO 27001 · ISO 42001(applied) · NIST · OWASP · STRIDE · MITRE ATT&CK


CTF

🏆 CSO Tech Day 3 — 8th / 26 (Oct 2024) — certificate


Writing

📝 meghshetty.medium.com
Latest: I built a red team agent to test Google's Model Armor — read it here


MSc Information Security — Royal Holloway, University of London

Pinned Loading

  1. model-armor-redteammodel-armor-redteamPublic

    An adversarial AI security testing framework that deploys a GCP AI firewall via IaC, then runs an autonomous red team agent against it across 5 attack categories.

    HCL 1 1

  2. Apollo-24Apollo-24Public

    Security Impact Rating automation tool — built in Go, deployed in a regulated financial services environment.

    Go

  3. ai-security-researchai-security-researchPublic

    Hands-on AI security research — LLM threat models, prompt injection testing, and offensive AI techniques. Lab work from HTB COAE and beyond.

    Jupyter Notebook 1

  4. c0d3x-io/heraldc0d3x-io/heraldPublic

    TLS forward proxy for routing API traffic through enterprise egress controls.

    Go

, '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('^' + ".*" + '
Skip to content
View MeghvShetty's full-sized avatar
:octocat:
I write the policy. Then I break the system it was meant to protect.
:octocat:
I write the policy. Then I break the system it was meant to protect.

Block or report MeghvShetty

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MeghvShetty/README.md

Megh V Shetty

AppSec Engineer · AI & ML Security · Financial Services

I specialise in securing AI-native systems — from threat modelling LLM pipelines and agentic frameworks to embedding security controls into engineering SDLCs at scale.

Currently on the Data, ML & AI Security team at a UK systemically important financial institution, where I've authored group-wide AI security policy and built security tooling adopted into production.


What I Work On

AI & LLM Security Threat modelling of RAG pipelines, agentic AI systems, and GenAI integrations. Hands-on with prompt injection, model extraction, and adversarial input testing. Currently pursuing HTB Certified Offensive AI Expert (COAE).

Application Security Engineering SAST/SCA pipeline integration via Semgrep and Checkmarx. DAST with Burp Suite. Secure SDLC design and developer security enablement across large engineering organisations.

Security Tooling Built Apollo-24 in Go — a Security Impact Rating automation tool deployed in a regulated financial services environment. Reduced security triage overhead and enforced classification consistency across engineering teams.

Governance & Standards ISO 42001 (AI Management Systems). Co-Authored group-wide AI Security Standard aligned to UK AI Code of Practice, NIST AI RMF, and ISO 27001.


Projects

🔧 HERALD — TLS forward proxy for routing API traffic through enterprise egress controls


Certifications

CertificationBodyStatus
Generative AI Leader CertificationGoogle Cloud Platform✅ Certified
HTB Certified Offensive AI ExpertHack The Box🔄 In Progress
AWSAmazon Web Services✅ Certified
mitre att&ckAttackIQ✅ Certified
Accredible BadgeIriusRisk✅ Certified
Credly BadgeIBM✅ Certified

Tech

LanguagesGo · Python · Bash
AppSec — Semgrep · Checkmarx · Burp Suite · OWASP ZAP
AI/ML — Griptape · Google ADK · Vertex AI · RAG · pgvector
Cloud & IaC — AWS · GCP · Docker · Terraform · GitHub Actions
Standards — ISO 27001 · ISO 42001(applied) · NIST · OWASP · STRIDE · MITRE ATT&CK


CTF

🏆 CSO Tech Day 3 — 8th / 26 (Oct 2024) — certificate


Writing

📝 meghshetty.medium.com
Latest: I built a red team agent to test Google's Model Armor — read it here


MSc Information Security — Royal Holloway, University of London

Pinned Loading

  1. model-armor-redteammodel-armor-redteamPublic

    An adversarial AI security testing framework that deploys a GCP AI firewall via IaC, then runs an autonomous red team agent against it across 5 attack categories.

    HCL 1 1

  2. Apollo-24Apollo-24Public

    Security Impact Rating automation tool — built in Go, deployed in a regulated financial services environment.

    Go

  3. ai-security-researchai-security-researchPublic

    Hands-on AI security research — LLM threat models, prompt injection testing, and offensive AI techniques. Lab work from HTB COAE and beyond.

    Jupyter Notebook 1

  4. c0d3x-io/heraldc0d3x-io/heraldPublic

    TLS forward proxy for routing API traffic through enterprise egress controls.

    Go

, '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('^' + ".*" + '
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I write the policy. Then I break the system it was meant to protect.
:octocat:
I write the policy. Then I break the system it was meant to protect.

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MeghvShetty/README.md

Megh V Shetty

AppSec Engineer · AI & ML Security · Financial Services

I specialise in securing AI-native systems — from threat modelling LLM pipelines and agentic frameworks to embedding security controls into engineering SDLCs at scale.

Currently on the Data, ML & AI Security team at a UK systemically important financial institution, where I've authored group-wide AI security policy and built security tooling adopted into production.


What I Work On

AI & LLM Security Threat modelling of RAG pipelines, agentic AI systems, and GenAI integrations. Hands-on with prompt injection, model extraction, and adversarial input testing. Currently pursuing HTB Certified Offensive AI Expert (COAE).

Application Security Engineering SAST/SCA pipeline integration via Semgrep and Checkmarx. DAST with Burp Suite. Secure SDLC design and developer security enablement across large engineering organisations.

Security Tooling Built Apollo-24 in Go — a Security Impact Rating automation tool deployed in a regulated financial services environment. Reduced security triage overhead and enforced classification consistency across engineering teams.

Governance & Standards ISO 42001 (AI Management Systems). Co-Authored group-wide AI Security Standard aligned to UK AI Code of Practice, NIST AI RMF, and ISO 27001.


Projects

🔧 HERALD — TLS forward proxy for routing API traffic through enterprise egress controls


Certifications

CertificationBodyStatus
Generative AI Leader CertificationGoogle Cloud Platform✅ Certified
HTB Certified Offensive AI ExpertHack The Box🔄 In Progress
AWSAmazon Web Services✅ Certified
mitre att&ckAttackIQ✅ Certified
Accredible BadgeIriusRisk✅ Certified
Credly BadgeIBM✅ Certified

Tech

LanguagesGo · Python · Bash
AppSec — Semgrep · Checkmarx · Burp Suite · OWASP ZAP
AI/ML — Griptape · Google ADK · Vertex AI · RAG · pgvector
Cloud & IaC — AWS · GCP · Docker · Terraform · GitHub Actions
Standards — ISO 27001 · ISO 42001(applied) · NIST · OWASP · STRIDE · MITRE ATT&CK


CTF

🏆 CSO Tech Day 3 — 8th / 26 (Oct 2024) — certificate


Writing

📝 meghshetty.medium.com
Latest: I built a red team agent to test Google's Model Armor — read it here


MSc Information Security — Royal Holloway, University of London

Pinned Loading

  1. model-armor-redteammodel-armor-redteamPublic

    An adversarial AI security testing framework that deploys a GCP AI firewall via IaC, then runs an autonomous red team agent against it across 5 attack categories.

    HCL 1 1

  2. Apollo-24Apollo-24Public

    Security Impact Rating automation tool — built in Go, deployed in a regulated financial services environment.

    Go

  3. ai-security-researchai-security-researchPublic

    Hands-on AI security research — LLM threat models, prompt injection testing, and offensive AI techniques. Lab work from HTB COAE and beyond.

    Jupyter Notebook 1

  4. c0d3x-io/heraldc0d3x-io/heraldPublic

    TLS forward proxy for routing API traffic through enterprise egress controls.

    Go

, '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
View MeghvShetty's full-sized avatar
:octocat:
I write the policy. Then I break the system it was meant to protect.
:octocat:
I write the policy. Then I break the system it was meant to protect.

Block or report MeghvShetty

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MeghvShetty/README.md

Megh V Shetty

AppSec Engineer · AI & ML Security · Financial Services

I specialise in securing AI-native systems — from threat modelling LLM pipelines and agentic frameworks to embedding security controls into engineering SDLCs at scale.

Currently on the Data, ML & AI Security team at a UK systemically important financial institution, where I've authored group-wide AI security policy and built security tooling adopted into production.


What I Work On

AI & LLM Security Threat modelling of RAG pipelines, agentic AI systems, and GenAI integrations. Hands-on with prompt injection, model extraction, and adversarial input testing. Currently pursuing HTB Certified Offensive AI Expert (COAE).

Application Security Engineering SAST/SCA pipeline integration via Semgrep and Checkmarx. DAST with Burp Suite. Secure SDLC design and developer security enablement across large engineering organisations.

Security Tooling Built Apollo-24 in Go — a Security Impact Rating automation tool deployed in a regulated financial services environment. Reduced security triage overhead and enforced classification consistency across engineering teams.

Governance & Standards ISO 42001 (AI Management Systems). Co-Authored group-wide AI Security Standard aligned to UK AI Code of Practice, NIST AI RMF, and ISO 27001.


Projects

🔧 HERALD — TLS forward proxy for routing API traffic through enterprise egress controls


Certifications

CertificationBodyStatus
Generative AI Leader CertificationGoogle Cloud Platform✅ Certified
HTB Certified Offensive AI ExpertHack The Box🔄 In Progress
AWSAmazon Web Services✅ Certified
mitre att&ckAttackIQ✅ Certified
Accredible BadgeIriusRisk✅ Certified
Credly BadgeIBM✅ Certified

Tech

LanguagesGo · Python · Bash
AppSec — Semgrep · Checkmarx · Burp Suite · OWASP ZAP
AI/ML — Griptape · Google ADK · Vertex AI · RAG · pgvector
Cloud & IaC — AWS · GCP · Docker · Terraform · GitHub Actions
Standards — ISO 27001 · ISO 42001(applied) · NIST · OWASP · STRIDE · MITRE ATT&CK


CTF

🏆 CSO Tech Day 3 — 8th / 26 (Oct 2024) — certificate


Writing

📝 meghshetty.medium.com
Latest: I built a red team agent to test Google's Model Armor — read it here


MSc Information Security — Royal Holloway, University of London

Pinned Loading

  1. model-armor-redteammodel-armor-redteamPublic

    An adversarial AI security testing framework that deploys a GCP AI firewall via IaC, then runs an autonomous red team agent against it across 5 attack categories.

    HCL 1 1

  2. Apollo-24Apollo-24Public

    Security Impact Rating automation tool — built in Go, deployed in a regulated financial services environment.

    Go

  3. ai-security-researchai-security-researchPublic

    Hands-on AI security research — LLM threat models, prompt injection testing, and offensive AI techniques. Lab work from HTB COAE and beyond.

    Jupyter Notebook 1

  4. c0d3x-io/heraldc0d3x-io/heraldPublic

    TLS forward proxy for routing API traffic through enterprise egress controls.

    Go