Senior Manager, Information Security. I lead AI red teaming and offensive security work out of Gurugram, India.
My work sits on two sides of the same problem. Security for AI: hardening LLM systems, agents and AI-driven applications against adversarial use. Security with AI: using LLMs and agentic harnesses to scale offensive testing beyond what a human team can cover by hand. Ten-plus years in offensive security, hands-on across web application, API, network and LLM/AI penetration testing.
- AI red teaming - prompt injection, tool and agent abuse, MCP attack surface, model and data exfiltration, guardrail bypass
- Offensive security automation - agentic harnesses for recon, exploitation, triage and reporting
- Programme building - vulnerability disclosure frameworks, red team gate models, assessment tooling built from scratch
| Project | What it is |
|---|---|
| ai-security-field-guide | OWASP Top 10 for LLMs, Agents and MCP in plain English, with attack walkthroughs and defensive playbooks |
| secops-academy | Gamified DevSecOps learning platform - 28 modules, 19 interactive labs, 140 quizzes |
| Hackers-terminal-setup | One-script macOS/Linux security terminal setup with pentest, cloud and AI/LLM tooling |
| security-research-index | Curated index of the offensive security, recon and AI security tooling I use |
Researching attack surface in agentic systems - tool-calling chains, MCP servers and the trust boundaries between them.
- LinkedIn: in/praveenjangir