Semgrep Multimodal brings AI reasoning and rule-based analysis to code security.

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  "company": {
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  "data": {
    "url": "https://www.helpnetsecurity.com/2026/03/20/semgrep-multimodal-code-security",
    "title": "Semgrep Multimodal brings AI reasoning and rule-based analysis to code security.",
    "excerpt": "Semgrep Multimodal brings AI reasoning and rule-based analysis to code security.\n\nSemgrep announced Semgrep Multimodal, a system that combines AI reasoning with rule-based analysis for detection, triage, and remediation.\n\nIts detection finds up to 8x more true positives while cutting noise by 50% compared to foundation models alone, and has already discovered dozens of zero-days at customers.\n\nMultimodal is built on Semgrep Workflows, a framework for autonomous code security - using deterministic tools and AI so security teams can encode their processes once and scale them reliably across teams, repos, and the organization.\n\nWorkflows can be run as-is from a pre-built library, customized for a team's specific environment, or built from scratch. Semgrep's managed infrastructure handles the production deployment, so teams can focus on defining their security logic, not maintaining the stack.\n\nThe problem: AI code volume has outpaced security.\n\nAI-generated code is outpacing the security practices built for human-speed development. Security teams fielding hundreds of pull requests a day know the math is unforgiving: a 95% fix rate still means hundreds of unresolved critical issues compounding across hundreds of repositories.\n\nMost are already reaching for LLMs to close the gap and hitting the same walls: demos that fall apart in production, outputs that vary between repositories...",
    "product": "Semgrep Multimodal",
    "summary": "Semgrep, Inc launches Semgrep Multimodal.",
    "category": "launches",
    "found_at": "2026-03-19T17:17:36Z",
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    "product_data": {
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    "published_at": "2026-03-20T07:47:21Z",
    "article_sentence": "Semgrep announced Semgrep Multimodal, a system that combines AI reasoning with rule-based analysis for detection, triage, and remediation."
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curl -X POST https://signals.autobound.ai/v1/companies/enrich \
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