ContextFort

ContextFort tackles a problem that's becoming urgent: AI coding agents inherit full system permissions, and traditional EDR tools don't audit agent actions. We've seen the threat surface — agents reading .env files, sending data to APIs, running shell commands. ContextFort's kernel-level approach (eBPF, macOS ESF, ETW+Minifilter) is the right architecture: it logs everything independently, so the agent can't tamper with the audit trail. That said, ContextFort is clearly early-stage. The site lists blog posts as 'Coming Soon' and there's no pricing page. It's backed by Y Combinator, which gives some confidence, but you can't buy it off the shelf yet — you have to book a demo. The feature set on the homepage is detailed enough to understand the vision: file access telemetry, network monitoring, process tree tracking, and sandboxing. Compared to alternatives like Doppel (cloud DLP for AI) or plain endpoint monitoring with CrowdStrike, ContextFort is more focused. Doppel monitors data flows to AI services but doesn't give kernel-level agent visibility. CrowdStrike alerts on malware but misses the 'what did the agent do?' question. ContextFort fills that gap for coding agents specifically. In practice, if you're deploying Cursor or Claude Code in a compliance-heavy environment (finance, healthcare, etc.), ContextFort is worth a conversation. But for smaller teams or those not using these agents, it's not relevant. The lack of public pricing and maturity means it's not a drop-in solution yet.