Meet Aembit IAM for Agentic AI. See what’s possible →

Category: Industry Insights

Instead of just trusting the token’s signature, attestation-based identity adds an extra layer of security.
The Model Context Protocol (MCP), developed by Anthropic, standardizes how AI agents interact with external tools and data.
From rule-based chatbots to autonomous agentic AI, we’ve come a long way in past three decades.
Conditional access enhances security and reduces the attack surface without adding friction.
The core problem is that human IAM was never built for workload scale or behavior.
Instead of treating access as a secrets problem, teams should treat it as an identity problem.
This struggle stems from a reliance on outdated, static credentials and a tension between development velocity and security.
Most enterprises struggle with hybrid Windows security gaps. Discover workload identity federation and conditional access to eliminate blind spots.
CSPM platforms excel at configuration analysis but miss dynamic credential lifecycle risks in workload identities. Learn how attackers exploit this blind spot.
AI agents require broad API access across multiple domains simultaneously—LLM providers, enterprise APIs, cloud services, and data stores—creating identity management complexity that traditional workload security never anticipated.