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Cisco AI Deep SAST review

Free#24 of 27 in AI Code Security Scanners

Open-source scanner combining Semgrep OWASP checks, secret detection and AI triage for self-hosted CI/CD.

6.9/10Editor score
Cisco AI Deep SAST6.9 Visit Cisco SAST

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Cisco AI Deep SAST is an open-source command-line security scanner for CI/CD pipelines. It combines Semgrep-based OWASP Top 10 vulnerability detection with secret scanning for passwords, API keys and tokens. Development and security teams can run it on macOS or Linux in self-hosted or desktop deployments. The project is aimed at organizations that want code analysis under their own control, from small teams through enterprise environments.

Its analysis stack spans finding triage and deeper repository inspection. A locally runnable Foundation-Sec-8B model handles triage, while tree-sitter indexing supports whole-codebase scanning with configurable frontier models through OpenAI-compatible APIs. Remediation guidance can include corrected code. Severity thresholds and configurable quality gates help teams enforce findings in pipelines, and reports are available in Markdown, JSON and JUnit XML. Docker and Jenkins workflows provide documented CI/CD paths, with Azure OpenAI and Ollama among the listed model integrations.

Cisco AI Deep SAST fits teams comfortable operating open-source tooling, local models or connected model APIs. Its deployment model keeps scanning self-hosted, and support is provided through documentation and a community channel. The documented ecosystem is concentrated on Jenkins and Docker for CI/CD, so teams centered on other automation systems may need additional integration work. Choose it when Semgrep-based OWASP coverage, secrets detection and AI-assisted triage are priorities; consider an alternative if you need a vendor-hosted service or a broader set of built-in CI integrations.

Cisco AI Deep SAST pros and cons

  • Where it wins
    • Semgrep-based OWASP Top 10 and hardcoded-secret detection
    • Local LLM triage plus frontier-model API support
    • Severity gates, remediation guidance and CI report formats
  • Where it doesn't
    • CI/CD workflows center on Jenkins and Docker
    • Self-hosted deployment requires teams to operate the tooling
    • Support is provided through documentation and community channels

Cisco AI Deep SAST fact sheet, pricing and score →

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