Three protocols are shaping how AI agents interact with tools, other agents, and users. Here's what each one does, how they fit together, and when to reach for which.
Modern agentic AI systems introduce new security risks as LLMs act as privileged deputies, mapping threats to the Confused Deputy problem and proposing policy guardrails.
Legacy identity governance fails in modern cloud environments. Learn how event-driven, AI-assisted models improve access control and reduce security risks.
Microservices assume predictable callers. AI agents break this with non-deterministic calls, fan-out, and retries. Here are 5 core assumption breaks and fixes.
AI is transforming multi-cloud integration with real-time, decentralized, secure systems — improving compliance, APIs, and scalability across industries.
Building effective AI models for real-world applications requires clear problem definition, quality data, the right algorithms, continuous testing, and optimization.