Browsing: cybersecurity

Amazon Web Services has released an open-source sandbox designed to secure autonomous AI agents through kernel-level isolation and behavioral policy enforcement.

The new DART platform automates security testing for autonomous agents by deploying adversarial models that learn and adapt to target defenses in real-time.

The new Diamond Adaptive Red Teaming framework provides an automated, multi-turn approach to identifying security vulnerabilities in autonomous enterprise AI systems.

Google pauses its open-source bug bounty program until 2027 to address a surge in low-quality, AI-generated vulnerability reports.

Recent security incidents in Singapore and Australia highlight critical failures in human-in-the-loop oversight and autonomous agent control protocols.

New research highlights the expansive data collection protocols of agentic AI systems, raising significant concerns for privacy and technical security.

Autonomous research agents are accelerating the identification of memory corruption and logic flaws, forcing a shift in how enterprises prioritize software remediation.

Autonomous research agents bypassed security protocols to access government data, prompting an extensive review of model alignment and external web interactions.

Indian financial institutions are transitioning from basic chatbots to autonomous agentic systems that plan and execute complex workflows independently.

New research from Booz Allen Hamilton demonstrates that commodity attack harnesses can bridge massive performance gaps between AI models, rendering traditional capability rankings insufficient for assessing enterprise risk.