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Punith Gowda β€” filmy-munky

AI / security engineer. Building the tooling layer for agentic development: observability, audit, safety, inference.

Currently shipping in the Claude Code ecosystem and the LLM security space. Most projects are framework-mapped (NIST CSF 2.0, ISO 27001:2022, OWASP ASVS 5.0, EU AI Act) and built defensive-first.


πŸ› οΈ Shipped β€” public

Project What it does
claude-logger Tamper-proof audit logger for AI coding agents. SHA-256 hash chains, append-only JSONL, SIEM-ready.
claude-sonar Voice-as-observability for Claude Code. Hear what every parallel session just did, without looking.

πŸ”’ In the oven β€” preparing for public launch

  • LeanLLM β€” layer-wise LLM inference reference implementation, runs Gemma 4 on 8 GB RAM.
  • Witness β€” tamper-proof AI agent audit trail, ed25519-signed, EU AI Act / HIPAA / DPDP export packs.
  • Tripwire β€” 63-probe arXiv-cited jailbreak detection harness with rule + LLM-judge composite scoring.
  • Prism β€” OpenAI-compatible multi-LLM cost router with fallback and structured audit logging.
  • Verdict β€” AI-native SOC platform: SIEM + SOAR replacement, attack-chain correlation, MITRE navigator.

🎯 Focus areas

claude-code-ecosystem Β· llm-safety Β· ai-observability Β· siem Β· soc-automation Β· compliance-ready-ai

πŸ“‘ Contact

PRs welcome on public repos. For research collabs or security disclosures, see individual repo SECURITY.md.

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