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Author: Dan Kaplan

The organizations succeeding with agentic AI are deploying it with constraints.
The Model Context Protocol (MCP), developed by Anthropic, standardizes how AI agents interact with external tools and data.
Secrets sprawl forces developers into constant rework while leaving organizations exposed to the exact security risks they’re trying to prevent.
The incident shows how repositories double as inadvertent credential stores, extending risk from vendors into customer environments.
From rule-based chatbots to autonomous agentic AI, we’ve come a long way in past three decades.
Credentialitis isn’t just a clever name. It’s a real condition plaguing modern IT teams. Dr. Seymour Keys is here to walk you through the symptoms, the screening, and the treatment.
This malicious campaign demonstrates how long-lived token theft can become the first step in a much broader breach.
Learn why static secrets fail in modern environments and how to implement dynamic authorization.
Recent flaws in Conjur and Vault highlight the risks of concentrating trust in a single repository – and why workload IAM may offer a more resilient path forward.