Semgrep has launched Semgrep Multimodal, a groundbreaking system that integrates AI reasoning with precise rule-based analysis to improve detection, triage, and remediation in application security. Built on the new Semgrep Workflows framework for autonomous code security, Multimodal achieves up to 8x more true positives and reduces noise by 50% compared to foundation models alone, while already uncovering dozens of zero-day vulnerabilities in customer environments.
The surge in AI-generated code has overwhelmed security practices originally designed for slower, human-driven development. Security teams managing hundreds of pull requests daily face compounding unresolved critical issues even with high fix rates. Early LLM attempts frequently fail in production due to inconsistent outputs, escalating costs, and hallucinations, while major breaches often arise from subtle business logic errors overlooked by conventional SAST tools.
Traditional rule-based SAST tools reliably identify known patterns such as SQL injection, SSRF, and secrets exposure but struggle with context-dependent issues like IDORs, broken authorization, and authentication bypasses that demand understanding of developer intent and application context. Standalone LLMs provide logical reasoning but generate excessive false positives and unreliable results at enterprise scale. Semgrep Multimodal bridges these gaps by combining the Semgrep Pro engine's accurate program analysis with LLM reasoning, delivering comprehensive coverage of both established vulnerabilities and complex logic flaws. As underlying models advance, Multimodal's effectiveness improves automatically.
Semgrep Multimodal operates on Semgrep Workflows, a framework that empowers teams to encode security policies into automated pipelines for detection, triage, remediation, compliance, and broader AppSec tasks. Users can deploy pre-built workflows from a library covering OWASP Top 10 and business logic vulnerabilities, customize them for unique environments, or develop new ones using plain Python that integrate additional tools. Semgrep's managed infrastructure manages production deployment, freeing teams to concentrate on security logic rather than infrastructure maintenance. The platform incorporates ongoing feedback from security engineers and developers to refine accuracy over time.
Semgrep Multimodal and Workflows represent a significant advancement in application security, enabling teams to keep pace with accelerating code velocity while prioritizing genuine risks, reducing noise, and scaling reliably across organizations.
About Semgrep
Semgrep is an application security platform for scanning code for security, reliability, & other issues. Semgrep’s mission is to make it expensive to exploit software by bringing world-class security tools to engineers—software and security alike. Semgrep’s conviction is that the security process must enable rapid software development, instead of hindering it. Leading companies like Snowflake, Figma, Lyft, and Dropbox rely on Semgrep to safeguard their code. Semgrep is funded by Felicis Ventures, Lightspeed Venture Partners, Menlo Ventures, Redpoint Ventures, and Sequoia Capital.
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