Correctover intercepts critical runtime attacks before they execute. Powered by 24 CCS-certified detection rules validated across 8 AI frameworks and 7 attack surfaces. Zero-config, zero-dependency, deploy in 30 seconds.
From real-time attack interception to compliance-ready audit reports — one unified runtime.
Detect and block RCE, SSRF, path traversal, and credential exfiltration at inference time. Sub-15-microsecond overhead means security that doesn't slow you down.
Generate CCS-standard audit reports automatically. Map every detection to the 24-rule CCS framework. Accelerate SOC2 and ISO 27001 certification with verifiable evidence.
Detection rules hardened through real bug bounty hunts across CrewAI, AutoGen, LiteLLM, LangGraph, Haystack, and 3 more frameworks. What we find in the wild ships as rules.
Every detection rule is battle-tested against real production frameworks — not synthetic benchmarks.
| Target | Type | CVSS | Status |
|---|---|---|---|
| CrewAI MCP | Remote Code Execution | CRITICAL | MSRC Submitted |
| AutoGen Studio | Remote Code Execution | CRITICAL | ZDI Submitted |
| Docker MCP | Container Escape + RCE | CRITICAL | GitHub Disclosed |
| LiteLLM | SSRF via Proxy | HIGH | GitHub Disclosed |
| AG2 (AutoGen) | Pickle Deserialization RCE | CRITICAL | GitHub Disclosed |
| LlamaIndex | Pickle Deserialization RCE | CRITICAL | GitHub Disclosed |
| Haystack | Pipeline RCE | CRITICAL | GitHub Disclosed |
Deploy as a sidecar, SDK, or MCP server. Integrates with any LLM runtime in under a minute.
Start with a 7-day free trial — no credit card, no call required. Upgrade when you need compliance reporting and priority support.