Correctover Blog
Engineering deep-dives, threat research, and production security frameworks for AI systems. Written by the team behind the industry's first real-time AI runtime security platform.
14.5 Microseconds: How We Benchmark Real-time RCE Detection for AI Workloads
A technical deep-dive into latency benchmarking methodology for runtime attack interception. Why sub-100-microsecond detection matters in production AI, and how we measure P50=14.5µs across 13 model providers.
From Bounty to Defense: How 7 RCE Disclosures Shaped Our Detection Rules
Walk through each of our 7 responsible disclosures across CrewAI, AutoGen, LiteLLM, LangGraph, Haystack, AG2, and LlamaIndex. The common pattern: lack of runtime input validation. How each became a CCS detection rule.
CCS Compliance for AI Systems: A 24-Rule Framework for Production Security
Introducing the Cloud Cybersecurity Standard for AI workloads. Why NIST CSF and SOC 2 leave blind spots in AI-specific attack surfaces, and how 24 detection rules map to automated compliance verification.
The AI Runtime Attack Surface: 7 Threats Every CISO Should Know
From RCE via MCP tools to supply chain tampering and pipeline drift — the 7 most critical AI runtime threats facing enterprises today. Real-world impact, likelihood, and a pragmatic defense approach.