Access Control stories
As AI pipelines spread data across jurisdictions, rigid architectures are turning compliance into a costly risk for enterprises.
The platform is designed to help firms expose and protect sensitive data as AI assistants and machine identities widen access paths across systems.
Attackers are using AI to speed up, scale and automate probes, forcing organisations to tighten governance, data flow and incident testing.
Autonomous systems are exposing governance gaps, leaving companies scrambling to monitor access, review decisions and curb machine-speed attacks.
Enterprises could get more dependable AI agents as Dell's update ties internal data to context, governance and faster processing inside customer systems.
It lets security teams cut off a risky identity's access to sensitive records without disrupting other users or broader systems.
The appointment reflects rising demand for tighter access controls as firms in Asia Pacific and Japan adopt AI across legacy and cloud systems.
Customers using the beta report faster network changes and fewer manual checks, with IG Group saying firewall delivery time fell by roughly 95 percent.
Most enterprises are deploying AI agents in production without dedicated security controls, leaving a 40-to-1 gap between adoption and readiness.
Identity security spending is rising as firms grapple with AI access risks, helping Keeper Security pass 100,000 organisations and USD $240 million ARR.
Security teams could speed up external threat investigations as RiskProfiler's new connector lets authorised users query its platform through AI assistants.
The deal gives enterprises live controls to block or limit AI agents as they act inside business systems, reducing security and compliance risk.
The new platform aims to let businesses deploy AI agents on sensitive records without losing control over access, context or governance.
Large enterprises could get faster access reviews and tighter compliance checks as SailPoint updates its cloud platform and IdentityIQ 9.0.
Businesses face rising risk as Nvidia says AI agents need enforceable boundaries, accountable owners and proof that safeguards actually work.
The new features aim to help enterprises govern data better and move AI agents into production while keeping sensitive records in their own data centres.
It targets a growing enterprise risk, with Omnissa saying unsanctioned AI tools are already present on 75% of managed devices.
Customer service teams may face higher volumes as the standard lets personal AI agents sign in, verify users and act for them.
Security teams can now test whether AI agents stay within bounds before giving them wider access, as Cloud Range's framework seeks to cut operational risk.
Staff will now receive instant alerts if orangutan fence wires are touched, helping Toronto Zoo verify incidents before animals are at risk.