Explores Autonomous Action Runtime Management (AARM) and runtime governance for secure, observable, agentic systems at scale.

Ensuring we secure AI agents with the same rigor and accountability as we do humans is critical to effectively embrace this ...

Traditional enterprise defenses cannot protect against a threat landscape led by AI-powered autonomous attacks.

Legacy IAM can't govern autonomous AI agents that spin up, execute and terminate in seconds. New identity patterns are now emerging. The post Why Traditional IAM Is No Match for Agentic AI appeared ...

Which technologies, designs, standards, development approaches, and security practices are gaining momentum in multi-agent ...

As agentic commerce scales, fraud systems built for human behaviour are increasingly misclassifying legitimate AI transactions as malicious bots ...

Properly designed agentic commerce is not a free‑for‑all. It is a structured payments framework in which AI agents execute ...

Gartner predicts that over 40% of agentic AI projects will be canceled by 2027 due to poor strategic planning and governance ...

University College London researchers caution that advanced agentic AI could inundate grant agencies with a surge of high-quality applications, straining traditional funding processes. They suggest ...

Traditional RAG systems struggle bridging structured SQL databases and unstructured document collections (a challenge we call the modality gap), leading to incomplete reasoning and hallucinations.