A new AI-Driven Multi Agent System architecture has been developed that autonomously creates and executes complex behaviours of cyberattack and automates coordinated incident response activities.
Evaluate the effectiveness of Microsoft’s Python Risk Identification Toolkit (PyRIT) for agentic AI red teaming. Address evolving autonomous AI system threats.
Imagine describing a physical simulation in plain language, such as “simulate how water flows around an obstacle shaped like a dolphin,” and receiving not only executable code and visualizations, but ...
We just can’t seem to help ourselves. Our current infatuation with multi-agent systems risks mistaking a useful pattern for an inevitable future, just as we once did with microservices. Remember those ...
Multi-Agent Systems In Business: Evaluation, Governance And Optimization For Cost And Sustainability
Today, multi-agent systems (MAS) have emerged as transformative technologies, driving innovation and efficiency across various industries. Comprising multiple autonomous agents working collaboratively ...
What if you could design a system where multiple specialized agents work together seamlessly, each tackling a specific task with precision and efficiency? This isn’t just a futuristic vision—it’s the ...
CyberGym benchmark scores over time, showing the rapid improvement in AI vulnerability discovery capabilities. Microsoft’s multi-model MDASH system (top right) tops the leaderboard at 88.4%. (CyberGym ...
Anthropic on Tuesday unveiled a suite of updates to its Claude Managed Agents platform at its second annual Code with Claude developer conference in San Francisco, introducing a new capability called ...
Varun is a Product management and AI leader, shaping the future of tech with strategic vision, AI platforms and agentic-AI experiences. Three weeks ago, I witnessed AI agents solving a complex ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results