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Trend Micro Flags AI Agent Governance Risks, Urges Automated Oversight

1 reports · First detected 2026-06-08 · Last active 2026-06-08

Generative AI is evolving from responding to prompts into AI agents capable of independently planning, calling tools and carrying out tasks. While these systems can improve operating efficiency and generate revenue, they also expose companies to risks including flawed decisions, misuse of access privileges and tool vulnerabilities. Trend Micro said security and compliance consequences could worsen if governance fails to keep pace with deployment.

During NVIDIA GTC Taipei 2026, Trend Micro warned that automated decision-making and vulnerabilities in tool use could cause AI agents to create serious problems. Its chief operating officer urged companies to build security controls into the architectural design stage and establish automated monitoring similar to an “AI governance gate.” The event involved no investment or transaction value, and the report disclosed no specific monetary amount.

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AI Agents and Open-Source Models Reshape Cyber Risks, Expert Urges Automated Vulnerability Governance2026-05-13 · 1 reports · similarity 0.83

As agentic AI gains the ability to independently break down tasks, invoke tools and execute workflows, attackers could also use it to generate exploits at scale and automate reconnaissance and intrusions. Yuan Ze University professor Jen-Fu Wang said companies must govern not only their own systems but also open-source models, third-party components and data sources. The EU AI Act has also made traceability, accountability and risk controls key compliance issues.

Speaking at CYBERSEC Taiwan, Wang said AI agents and open-source models were reshaping the corporate threat landscape. He recommended establishing systematic, automated processes for vulnerability inventories, patching, verification and continuous monitoring, while bringing the model supply chain under governance. Available information about the event does not specify the date of the speech or cite any investment, loss or fine. The latest focus is on the need for companies to strengthen both technical defenses and AI accountability frameworks.

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