AI-Native SAST Platform for Enterprise Security Teams

P7/10June 4, 2026

WhatA managed vulnerability discovery service that runs AI agents against enterprise codebases on every PR, integrating into existing CI/CD pipelines with structured reporting and triage workflows.

SignalAnthropic released an open-source harness for AI-powered vulnerability discovery, but it is unmaintained and clearly positioned as a reference implementation rather than a product — signaling the opportunity is wide open for someone to build the productized version.

Why NowLLM capabilities for code analysis have crossed a quality threshold where they can find real vulnerabilities that traditional SAST misses, and token costs have dropped enough to make per-PR scanning economically viable.

MarketEnterprise security teams and DevSecOps buyers; $3B+ SAST/DAST market growing 15%+ annually; incumbents like Coverity, Snyk, and Semgrep have not yet shipped meaningful AI-agent-based scanning.

MoatAccumulating a proprietary dataset of confirmed vulnerabilities, false positive patterns, and codebase-specific tuning data creates compounding accuracy advantages over time.

Anthropic's open-source framework for AI-powered vulnerability discovery View discussion ↗ · Article ↗ · 472 pts · June 4, 2026

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