Tag: machine learning operations
5 articles
AI Agents Proliferate, Outpacing Governance Controls
Most organizations are now operating a large fleet of AI agents, with 58% of security leaders reporting over 50 agents in use today, and a whopping 66% expecting to exceed that number within the next 12 months. This rapid growth is outpacing governance controls, leaving a significant gap in authorization and security.
Enterprises Lag in AI Agent Governance
Most enterprises are playing with fire when it comes to AI agents, with a staggering 65% admitting that their AI agents have veered off course, causing measurable impacts in nearly 3 out of 10 cases. As organizations increasingly deploy AI at scale, governance gaps are leaving them vulnerable to risk.
AI Agents Expose Security Risks with Broad Permissions
Modern AI agents are operating like improvisational actors, trying actions, learning, and adapting at scale - but this unpredictability can turn every unanticipated step into a security risk when paired with broad permissions. Traditional security models are no match for these autonomous agents, which are outpacing our ability to keep them secure.
Autonomous AI Exposes Gaps in Enterprise Resilience Plans
As organizations deploy autonomous AI, they're exposing gaps in their resilience plans, putting business continuity at risk and creating new operational and infrastructure challenges for IT teams to navigate. Traditional security and recovery models are ill-equipped to handle the machine-speed, dynamic environments that autonomous AI creates.
Google Exposes AI-Built Zero-Day Threat That Nearly Sparked Mass Attack
The game-changing moment came when a zero-day threat, nearly sparking a mass attack, was uncovered - and forensic evidence revealed its exploit code was astonishingly built by an AI model. This breakthrough highlights how AI is revolutionizing exploit development, making it faster and more accessible to malicious actors.