machine learning

Anomaly detection involves methods that assist in identifying data points or occurrences that differ from the anticipated behavior patterns ...

Qevlar leads the agentic AI revolution and raises $14 million in total funding, including a fresh $10 million round led by EQT Ventures and Forgepoint Capital International ...

By implementing an AIOps tool, organizations can adhere to best practices in network management and security, ensuring efficient operations and a robust security posture.   ...

This is a truly fascinating paper: “Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography.” The basic idea is that AIs can act as trusted third parties: Abstract: ...

This in-depth research investigates Single Sign-On (SSO) and its application to both human users and non-human identities. Learn about the necessary differentiations for robust security and effective access management in diverse digital ...

While Trail of Bits is known for developing security tools like Slither, Medusa, and Fickling, our engineering efforts extend far beyond our own projects. Throughout 2024, our team has been deeply engaged ...

Dive into the architecture of autonomous AI agents, examining how Profile, Memory, Planning, and Action components work in harmony to create intelligent systems. Discover how these core elements enable agents to learn, ...

The Open Source Initiative has published (news article here) its definition of “open source AI,” and it’s terrible. It allows for secret training data and mechanisms. It allows for development to be ...

Tigran Safari, Client Success Manager AI isn’t some far-off sci-fi concept anymore. It’s here, and it’s coming to a bank near you! Listen to the latest from Tigran Safari and Chris Clements ...

By continuously learning from new data, ML models can adapt to evolving threat landscapes, making them invaluable in identifying zero-day vulnerabilities before they can be exploited.  ...