{"id":86283,"date":"2025-10-19T12:06:00","date_gmt":"2025-10-19T12:06:00","guid":{"rendered":"https:\/\/www.eccouncil.org\/cybersecurity-exchange\/?p=86283"},"modified":"2026-10-09T12:10:04","modified_gmt":"2026-10-09T12:10:04","slug":"trust-risk-and-security-in-autonomous-ai-ecosystems","status":"publish","type":"post","link":"https:\/\/www.eccouncil.org\/cybersecurity-exchange\/cyber-talks\/trust-risk-and-security-in-autonomous-ai-ecosystems\/","title":{"rendered":"Trust, Risk, and Security in Autonomous AI Ecosystems\u00a0"},"content":{"rendered":"\t\t
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Date<\/strong>: November 5, 2026<\/div>\n
Time<\/strong>: 2:30 PM CET | 8:30 AM EST | 7:00 PM IST<\/div>\n
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Topic: <\/strong> Trust, Risk, and Security in Autonomous AI Ecosystems<\/p>\n

Register Now<\/a><\/p>\n

Abstract: <\/strong> As AI evolves from assistive tools to autonomous systems capable of making decisions, interacting with applications, accessing data, and taking actions, organizations are entering a new era of AI adoption. These capabilities create significant opportunities, but they also introduce complex questions around trust, risk, security, accountability, and control. As autonomy increases, the security challenge extends beyond protecting model outputs to protecting the integrity of the wider decision-and-action chain across identities, data and context, tools, other agents, and human decision points. The current webinar explores the emerging trust, risk, and security challenges of autonomous AI ecosystems, examining how organizations can maintain control as AI agents operate across enterprise applications, data sources, APIs, cloud environments, and third-party services. It will address risks such as excessive autonomy, unauthorized actions, identity and access abuse, data exposure, prompt and context manipulation, insecure tool use, and vulnerabilities across the AI supply chain. The webinar will also explore how organizations can establish security and governance controls for autonomous AI, including identity management, least privilege, agent-level guardrails, human oversight, continuous monitoring, risk assessment, and auditability. Join us to gain insights on building trustworthy AI ecosystems while balancing autonomy with appropriate levels of human control. <\/p>\n

Key Takeaways: <\/strong><\/p>\n