TLDR: Manifest has launched Manifest AI Risk, the industry’s first comprehensive AI Risk Transparency Solution. This new module within the Manifest Platform aims to help enterprises secure their AI supply chains by providing unprecedented visibility into vulnerabilities, provenance, software dependencies, and legal risks associated with AI models and their training data. The solution addresses the critical gap in AI governance, enabling security and compliance teams to manage AI risks at scale, a challenge traditional security tools have struggled with.
LAS VEGAS – August 5, 2025 – At Black Hat USA, Manifest, a leader in software supply chain security, today announced the release of Manifest AI Risk, a groundbreaking module designed to provide the industry’s first comprehensive AI Risk Transparency Solution. This innovation comes as enterprises globally grapple with the complexities of securing their rapidly expanding AI infrastructures.
The Manifest AI Risk module is integrated into the existing Manifest Platform, which is already trusted by Fortune 500 companies and critical government agencies. The new solution is specifically engineered to assist security and compliance teams in fortifying their AI supply chains by shedding light on the ‘black box’ of AI. It illuminates critical aspects such as vulnerabilities, provenance, software dependencies, and legal risks embedded within AI models and their associated training data.
According to Manifest, the rapid adoption of AI across enterprise systems has created a significant governance crisis that traditional security tools are ill-equipped to handle. While some AI security startups focus on niche attacks like prompt injection, and model platforms offer local inventories, a fragmented landscape has emerged, leading to dangerous blind spots. This fragmentation means that a ‘Log4j-style AI vulnerability’ could demand immediate impact assessment, a process that currently takes weeks of manual analysis.
Manifest AI Risk aims to bridge this gap, transforming governance into a proactive strategy. The module offers enterprise-grade capabilities including continuous monitoring, comprehensive inventory management, and robust reporting across an organization’s entire AI infrastructure. This allows executives to evaluate AI risks in minutes, rather than weeks, facilitating confident deployment decisions without being bogged down by technical complexity.
Daniel Bardenstein, CTO of Manifest Cyber, emphasized the operational challenge: “While everyone’s been focused on AI ethics and compliance checkboxes, the real challenge is operational – knowing exactly what AI models you’re running, where they’re deployed, and what happens when something goes wrong.” He added, “I have watched organizations spend months painstakingly and manually assessing AI model risks.” Manifest AI Risk is designed to turn weeks of model vetting into ‘two clicks,’ providing a robust framework for managing AI supply chain risks, enforcing policies, and enabling rapid incident response at enterprise speed and scale.
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The development of Manifest AI Risk was informed by design partnerships with six Fortune 500 companies, ensuring its capabilities address real-world AI governance challenges at scale. Manifest currently safeguards over $100 billion in annual defense contracts and works with major organizations across the automotive, healthcare, and aerospace industries, underscoring its established presence and expertise in software supply chain security.
