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Manifest Launches a Pioneering AI Risk Transparency Solution

In an era where artificial intelligence (AI) is rapidly transforming industries, security and compliance teams are grappling with the complexities associated with overseeing AI systems. Manifest Cyber, a frontrunner in software supply chain security, has unveiled its latest offering: the Manifest AI Risk module. This innovative solution addresses the critical need for transparency and governance in AI supply chains, a challenge that has become paramount as businesses adopt AI technologies at an unprecedented pace.

The Need for AI Risk Management

As organizations embrace AI to leverage its efficiencies, they face significant hurdles in securing their AI models and datasets. Traditional security measures often fall short in addressing the unique risks associated with AI deployment. Security teams find themselves spending long weeks vetting individual AI models, often resulting in operational bottlenecks that hinder competitive advantage.

Manifest AI Risk aims to resolve this governance crisis by providing a comprehensive framework that illuminates vulnerabilities, legal risks, and dependencies within AI infrastructure. Unlike conventional security vendors who treat AI as a separate entity from software, Manifest's solution integrates AI risk assessment into the broader context of software supply chain management.

Transforming AI Governance

The Manifest AI Risk module is designed to streamline the arduous process of AI governance. With functionalities such as:

• - Continuous Monitoring: Keep track of AI models and their associated risks in real time.
• - Inventory Management: Easily manage the inventory of AI models across development and production environments.
• - Automated Reporting: Generate quick insights and reports, enhancing visibility for executive teams.

By harnessing automation and rich data analytics, Manifest allows organizations to pinpoint risks and make informed decisions swiftly. Instead of taking weeks to assess an AI model, security teams can now evaluate risks in a matter of minutes.

Addressing Critical Challenges

The rapid adoption of AI has left companies in a state of uncertainty, especially when dealing with models developed internally or sourced from third parties. Traditional security measures often fail to account for AI-specific risks, leading to blind spots in governance. Manifest's solution emphasizes proactive risk management, enabling organizations to understand the entirety of their AI ecosystem.

As Marc Frankel, CEO and Co-founder of Manifest, puts it, "Every executive asks me the same question: 'How do we know what's actually in our AI systems?' The answer has been 'you don't'—until now." This indicates a paradigm shift where organizations can gain clarity and control over their AI deployments.

Key Features of Manifest AI Risk

1. AI Bill of Materials (AIBOM) Engine: This is the first of its kind, enabling real-time discovery and inventory of AI models and applications, allowing for better tracking and management of potential vulnerabilities.
2. AI Governance Policy Engine: This feature continuously monitors compliance with governance policies, ensuring only vetted, secure AI models are utilized in operational environments.
3. AI Risk Dashboard: Designed for executives, this dashboard offers a clear view of AI supply chain risks and assists in strategic decision-making grounded in concrete data.

Through these innovations, Manifest not only makes AI governance feasible but strengthens an organization’s overall resilience against AI-related incidents.

Industry Impact and the Road Ahead

Manifest’s AI Risk module has garnered attention from Fortune 500 companies across various sectors, including healthcare and automotive. The company's platforms are credited with safeguarding over $100 billion in annual defense contracts, underlining their authority in the security domain.

As Daniel Bardenstein, CTO and Co-founder of Manifest, emphasizes, traditional security tools are no longer sufficient for the challenges posed by generative AI models. Manifest AI Risk is a strategic response, reflecting a profound understanding of AI's complexities and the operational necessities of modern enterprises.

The deployment of AI technologies shows no signs of slowing down. As organizations seek to harness AI’s benefits while mitigating risks, solutions like Manifest AI Risk represent the future of efficient, effective AI governance.

For those interested in further discussions on AI supply chain security, Daniel Bardenstein will present insights at the upcoming Black Hat USA conference, focusing on why addressing these challenges cannot wait.

As we navigate through this evolving landscape, Manifest Cyber stands at the forefront, redefining how organizations approach AI risk management and ensuring they can excel in an increasingly AI-driven world.