According to a recent LinkedIn post from Semgrep, the company is emphasizing new rule coverage aimed at detecting trust and safety issues in LLM-powered applications. The post cites 58 rules, 102 sub-rules, coverage across seven languages, and compatibility with six AI providers plus MCP, Claude Code, Cursor hooks, and LangChain.
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The post suggests that Semgrep’s tooling can scan codebases for risks such as hardcoded API keys, missing safety checks, prompt injection vulnerabilities, and unhandled errors across major AI providers. It also notes the company’s presence at BSidesSF and RSA, where it is engaging with security practitioners on code security for AI builders.
For investors, this focus on AI-specific application security may indicate that Semgrep is positioning itself as a key vendor in the growing market for securing LLM-based systems. Expanded rule sets and multi-provider support could strengthen product stickiness with developer and security teams, potentially supporting future revenue growth and competitive differentiation in the application security segment.