Non-Human Identity: Securing the Credentials AI Agents Use to Act
Every AI agent that takes real action is a non-human identity — a service account, API key, or OAuth token with permissions of its own. A practical look at secrets sprawl, over-privilege, and prompt injection, and how least-privilege, short-lived, revocable credentials make agent actions safe and accountable.
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AI Governance and Compliance: Keeping Autonomous Agents Inside the Rules
A practical look at what it takes to govern autonomous AI agents in 2026: the EU AI Act’s compliance floor, the six control layers that turn policy into enforcement, and why audit trails — not guardrails alone — are what regulators and engineers actually rely on.
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How Browser Agents Let AI Complete Multi-Step Web Tasks
Ask a chatbot to book a flight and it will happily describe how, then stop. Ask a browser agent the same thing, and it opens a tab, reads the page, clicks the right buttons, and comes back with a confirmation number. That gap between describing a task and finishing it is exactly what browser agents..
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Stateful Execution and Checkpointing for Reliable Long-Running AI Agents
A single prompt-and-response call is easy to trust. The moment an AI agent strings together a dozen steps — researching, calling APIs, writing to a database, waiting on a human approval — reliability becomes the whole job. If the process crashes on step nine, you cannot simply start over: side effects have already fired, tokens..
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Building Production-Ready AI Agents with LangGraph and CrewAI Frameworks
Moving an AI agent from a weekend prototype to something a business can depend on is where most projects stall. A single prompt loop that calls a few tools is easy to demo and hard to trust. Production work demands reliability, observability, and the ability to recover when a step fails halfway through. Two open-source..
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