Manifest, a leader in software supply chain security, has launched Manifest AI Risk a powerful new addition to its platform. Designed for security and compliance teams, this module gives organizations the tools they need to manage their AI supply chains with confidence. It tackles a major blind spot that traditional security vendors and emerging AI startups have largely ignored. Unlike traditional approaches that separate AI from software or narrowly focus on isolated risks, Manifest delivers the first end-to-end AI transparency solution built specifically for enterprise environments.

Already trusted by Fortune 500 companies and high-stakes government agencies, the Manifest Platform now extends its capabilities through AI Risk. This new module brings robust visibility into AI models, identifying vulnerabilities, dependencies, data lineage, and legal risks with precision. As enterprises accelerate AI adoption to drive efficiency, their security teams often face a lack of tools, data, and automation to truly understand AI’s inner workings. Manifest AI Risk changes that reality.

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Through a comprehensive AI transparency and governance framework, the AI Risk module offers continuous monitoring, detailed inventory tracking, and centralized reporting across an organization’s entire AI ecosystem. It illuminates the opaque world of AI, where manual vetting of models can take security teams six to eight weeks hindering agility and delaying innovation.

Now, with Manifest AI Risk, organizations can shift from sluggish manual processes to real-time, intelligent oversight. The platform empowers executives to assess AI-related risks in minutes, significantly accelerating deployment decisions without sacrificing control or security.

The market has responded swiftly. Manifest already protects over $100 billion in annual defense contracts and supports major enterprises in automotive, aerospace, and healthcare. In fact, the AI Risk module emerged from direct design partnerships with six Fortune 500 firms ensuring that it delivers the practical, scalable governance features enterprises need today.

Daniel Bardenstein, CTO and Co-founder of Manifest, noted, “While many focus on AI ethics and compliance checklists, the real issue is operational transparency. Manifest AI Risk replaces months of tedious assessments with two-click analysis, leveraging deep AI data to proactively address threats before they escalate.”

Traditional security tools struggle to keep up. Code scanners generate thousands of alerts but often overlook AI-specific threats. Meanwhile, AI startups target narrow attack vectors like prompt injection but neglect broader compliance concerns. Even model management platforms fail to offer visibility into real-world deployment. This fragmentation leaves organizations dangerously exposed.

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Manifest AI Risk confronts this challenge head-on, providing a unified, purpose-built solution for AI governance. Key features include:

  • AI Bill of Materials (AIBOM) Engine: This industry-first tool automatically inventories GenAI and ML models, discovers embedded AI in source code, and monitors vulnerabilities in real time turning complex assessments into instant insights.
  • AI Governance Policy Engine: The engine enforces organizational policies by continuously scanning models, detecting those from risky sources or with licensing issues, and integrating with DevSecOps to issue alerts for non-compliance.
  • AI Risk Dashboard: Designed for executive-level decision-makers, the dashboard presents clear, actionable intelligence on AI supply chain risks, including undocumented training data and policy misalignment enabling boardroom-ready risk reporting.

Marc Frankel, CEO and Co-founder of Manifest Cyber, put it plainly: “One of the biggest questions we hear from executives is, ‘What’s actually inside our AI systems?’ Until now, they had no clear answer. Manifest AI Risk changes that by delivering the transparency enterprises need to compete safely in the AI era.”

With this launch, Manifest positions itself at the forefront of AI security, offering organizations the tools they need to secure their AI supply chains at scale before risks become reality.

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