Edra raised $30 million from Sequoia Capital to solve what its ex-Palantir founders call “the hardest part of automation” — not the AI itself, but capturing the institutional knowledge that lives in people’s heads rather than documentation.

The Series A, which also includes participation from 8VC and A* (Kevin Hartz’s fund), validates a fundamental infrastructure challenge: enterprises are drowning in operational data but lack the means to transform it into actionable intelligence for AI agents.

85% of developers now run autonomous coding agents like GitHub Copilot, Claude Code, and Cursor directly on their laptops with broad access to production systems, source code, and CI/CD pipelines.

This represents a fundamental security blind spot that existing enterprise security tools weren’t designed to handle. Developers routinely get exceptions to standard endpoint policies because their normal activity already looks malicious to traditional security systems. Now AI agents perform those same high-risk tasks autonomously, creating what Manifold calls “the next major attack surface” as agent adoption spreads beyond engineering to every knowledge worker role.

Surf AI launched from stealth with $57 million in funding to address enterprise security teams’ struggle with fragmented tooling across cloud infrastructure, identity systems, applications, and internal platforms.

The agentic operations startup represents a shift from reactive security monitoring to autonomous hygiene management, where AI agents continuously identify exposures and execute remediation workflows at machine speed while maintaining human oversight and approval processes.

Security Operations Fragmentation Crisis

Enterprise security operations rely on multiple specialized tools that generate alerts and findings but leave remediation fragmented across different teams and systems. Organizations operating dozens of SaaS applications, identity providers, and cloud services face security responsibilities distributed across multiple internal teams, creating operational blind spots and delayed response times.