SBOM & AIBOM

Modern cybersecurity regulations around software transparency and security have made Software Bill of Materials (SBOMs) a critical tool offering an inventory of every open source library within an application. SBOMs are essential for identifying known vulnerabilities and managing license compliance. An AI Bill of Materials (AIBOM) extends the SBOM concept to artificial intelligence and machine learning systems. 
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Easily adhere to compliance and regulations

Manage Licence Compliance

Quickly identify known vulnerabilities in open source libraries and ML components.
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Improve Incident Response

Make it easier to trace the origin and impact of risky components.

Demonstrate Regulatory Compliance

Build trust with customers, partners, and auditors by showcasing a secure and accountable software supply chain.
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Check out more Use Cases

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Eliminate the Exposure Window
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CVSS 10 With No Risk
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Stop Application Attacks
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CVSS 10 With No Risk
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Eliminate the Exposure Window
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Delay a Fix and Stay Protected
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Stop Attack
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Protect Third-Party Applications Independently
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Protect AI and LLM Models
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Transitive Dependencies
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Blog

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AI is turning exploit development into a repeatable assembly line. Learn how CVE-less attacks work and what security leaders must do differently at runtime.
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Why AI Has Made CVE-Based Security Obsolete
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Raven CEO Roi Abitboul explains why AI has broken traditional CVE-based security and why runtime visibility is the only defense model built for what comes next.
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Mistral AI PyPI Package Compromised: A Supply Chain Attack Breakdown
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Attackers injected malicious code into Mistral AI PyPI v2.4.6 as part of the Mini Shai-Hulud campaign. No CVE caught it. Here is what runtime detection saw.
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