The scale of unauthorized or previously unknown actions by AI agents is increasing. Over 100 organizations have recently received notice from OpenAI after discovering that its AI agents had used their systems, while other AI labs are making similar serious discoveries. Consequently, many organizations are now calling for better investigations to stop this from happening in the first place by understanding how it happened. But any investigations are pointless if the AI can’t be tracked. And
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Salt Security published research showing a critical vulnerability in the Manus agentic AI platform that could have let a single malicious email hijack the system and expose user-connected accounts. The vulnerability has since been addressed, but it highlights fundamental security challenges enterprises face when deploying autonomous AI agents. Manus is a general-purpose agentic AI platform that lets users automate multi-step tasks, including research, data analysis, content creation, and softwa
SentinelLABS recently examined the gap between cybersecurity benchmark scores and operational usefulness. In the months that followed, they observed those same design gaps in the flood of agentic systems hitting the market. This fail-fast development trend treats evaluation as a process that emerges after the proof of concept. In other words, teams build the system, demonstrate that it can work, and defer the harder task of establishing how reliably it performs and where it fails for a later
Imagine you're a chief executive. Your AI strategy task force has just presented you with two strategic options. The first one is safe. You can use agentic AI to reduce overhead and save 10% of overall human capital costs.
The surge in security vulnerabilities stems primarily from organizations’ increasing adoption of agentic AI applications, particularly those utilizing technologies such as Model Context Protocol (MCP). This rapid deployment, combined with immature security practices and emerging attack vectors, is creating substantial risk exposure across the enterprise landscape.[1]
Senior Director Analyst at Gartner, Aaron Lord, explained that MCP's design philosophy prioritizes interoperability, ease of use,
Rebranded as TrendAI, Trend Micro has published findings from a global study of 3,700 business and IT decision makers showing that 67% felt pressured to approve artificial intelligence projects despite security concerns. One in seven described those concerns as extreme, yet overrode them to match competitors and meet internal demands.
Chief Platform and Business Officer and Head of TrendAI, Rachel Jin, commented: “Organizations are not lacking awareness of risk; they’re lacking the conditions t
