Tag: iam
5 articles
Identity Management for AI Agents Requires New Frameworks
Traditional identity management systems can't keep up with AI agents, which can autonomously execute tasks and chain tools together, revealing a gap between policy intent and actual behavior. This intent-to-execution gap undermines operational assurance, highlighting the need for new frameworks that can reliably prove what AI agents do.
Identity Visibility Emerges as Critical IAM Challenge
In today's digital landscape, identity visibility has become a pressing challenge for modern enterprises, requiring a clear view of every identity, its access capabilities, and actual usage. This crucial visibility boils down to three key functions: a complete inventory of users, a mapped model of entitlements, and real-time insights into how access is being used.
Identity Visibility Platforms Shrink IAM Attack Surface
Nearly half of all identity activity in enterprises remains invisible to centralized identity and access management, creating a hidden risk that can leave organizations vulnerable to attacks. This "Identity Dark Matter" emerges as identities multiply across apps, teams, and systems, outpacing the ability of security teams to keep control.
Unit 42 Uncovers Privilege Escalation Flaw in Amazon Bedrock AgentCore
Imagine a service designed to help users having unrestricted access to sensitive data - that's what Unit 42 discovered in Amazon Bedrock's AgentCore, where a flaw allowed for privilege escalation and data exfiltration due to overly broad permissions. This "Agent God Mode" vulnerability highlights the risks of systemic misconfiguration.
Identity Fragmentation Exposes Growing Enterprise Security Risks
As organizations scale, identities are scattering across apps, teams, and systems, creating a blind spot in centralized view and giving rise to what The Hacker News calls Identity Dark Matter. This fragmented state of modern enterprise identity is pushing IAM to the breaking point, exposing growing security risks that demand attention.