GNAI Visual Synopsis: An illustration depicting the interconnected components of AI systems, with AIBOMs at the center, enabling transparency and security in the complex network of AI technology.
One-Sentence Summary
Manifest’s AIBOM capability allows organizations to explore, analyze, and secure AI systems by providing transparency into their underpinnings, addressing unique security issues within them. Read The Full Article
Key Points
- 1. Manifest, a leader in software supply chain cybersecurity, has introduced AIBOMs to aid in the management of AI systems in various organizations.
- 2. AIBOMs enable users to understand datasets, manage AI/ML models, identify risks, and protect intellectual property associated with AI/ML models.
- 3. The AIBOM capability has the potential to improve AI transparency and safety, helping organizations gain visibility into the underpinnings of AI systems.
Key Insight
The introduction of AIBOMs is a critical step in enhancing AI transparency and security, providing a means for organizations to comprehensively analyze and secure AI systems by understanding their components and potential vulnerabilities.
Why This Matters
AIBOMs address the pressing need for transparency and security in AI systems, offering a solution to the challenges posed by the rapid evolution and proliferation of AI/ML tools. This initiative is crucial in ensuring the trustworthiness and safety of AI systems as they become more integrated into various sectors.
Notable Quote
“We have only one opportunity to inventory our AI supply chain, and if we don’t seize it now, we will end up deploying AI without any visibility into what underpins it.” – Daniel Bardenstein, CTO at Manifest.