Platformă DevSecOps pentru Gestionarea Agenților AI în Producție

Ship AI agents to production without losing sleep over compliance audits

DevSecOps platform that sandboxes AI agents in hardened Kubernetes containers with seccomp/AppArmor profiles, enforces granular policies on API calls and resource consumption, and generates immutable audit trails that map directly to SOC2, HIPAA, and GDPR control requirements. Built for engineering teams deploying LLM-powered agents who need to prove to auditors exactly what each agent accessed, when, and under what constraints—without rebuilding infrastructure from scratch.

Key Benefits:

- Container-level isolation with seccomp/AppArmor prevents agents from escalating privileges or accessing unauthorized system resources—provable in audit reports

- Policy engine blocks non-compliant agent behaviors in real-time (data exfiltration attempts, unapproved API calls, PII access violations) with Prometheus metrics for SLA tracking

- Immutable PostgreSQL audit logs with cryptographic signatures provide evidence chains for SOC2 Type II, HIPAA technical safeguards, and GDPR Article 30 processing records

MVP Scope: Build a DevSecOps platform for managing AI agents in production with container-based sandboxing, policy enforcement for resource limits and capability restrictions, centralized audit logging, and a basic dashboard for monitoring agent execution and security events.

Tech Stack: Kubernetes, Docker, seccomp, AppArmor, PostgreSQL, Prometheus, Grafana, Go, Python

Components:

- Sandboxing Engine

- Policy Enforcement & Compliance Module

- Audit & Logging System

- Agent Lifecycle Manager

- Security Dashboard & Alerting

Quality assessment: Strong technical concept addressing a genuine market gap (AI agent compliance in production) with concrete architecture and proven tech stack, but incomplete pitch/MVP scope description and lack of differentiation from existing container security solutions prevent higher scoring.