Service 001

Security + AI
Integration

Most organizations adopt AI tools without fully understanding the security implications. I help you integrate LLMs, agents, and AI APIs into your existing security posture — closing gaps before they become vulnerabilities.

The Problem

AI adoption is moving faster than security teams can evaluate. Every new LLM integration, every agent with API access, every AI-powered workflow creates potential attack surface that traditional security tools weren't designed to detect.

Common issues I see: prompt injection vulnerabilities in customer-facing AI features, overprivileged API keys passed to LLM tools, sensitive data leaking into model contexts, and AI-generated code bypassing security review.

How I Work

  • Audit existing AI integrations for security gaps
  • Design secure architectures for new AI deployments
  • Build detection rules for AI-specific threats
  • Implement PHI/PII redaction for LLM pipelines
  • Threat model AI agent permissions and API access
  • Harden CI/CD pipelines against supply chain attacks

What I Bring

I'm not a security consultant who read about AI, or an AI consultant who took a security course. I lead security engineering at a 250-person org while simultaneously deploying AI infrastructure across the company. I've built both sides.

Technologies

AWS Security LakeCloud Security
GuardDuty / CloudTrailDetection
SemgrepCode Analysis
Azure AD / DuoIdentity
NetskopeNetwork Security
Anthropic APIAI

Related Projects

SERAPHSecurity Event Response & Autonomous Protection Handler hackerbot-claw-scannerGitHub Actions security scanner for CI/CD exploits workspace-security-platformGoogle Workspace behavioral analysis for compromised accounts argus-scannerNetwork security scanner for continuous monitoring

Ready to secure your AI deployment?

Let's talk about your architecture and find the gaps before someone else does.

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