Topic: Trust, Risk, and Security in Autonomous AI Ecosystems
Abstract: As AI advances from assistive tools to autonomous systems that can make decisions, interact with applications, access data, and take actions, organizations are entering a new phase of AI adoption. While these capabilities offer significant opportunities, they also raise complex concerns 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. This webinar examines the emerging trust, risk, and security challenges within autonomous AI ecosystems, focusing on how organizations can retain control as AI agents operate across enterprise applications, data sources, APIs, cloud environments, and third-party services. It will address risks including excessive autonomy, unauthorized actions, identity and access abuse, data exposure, prompt and context manipulation, insecure tool usage, and AI supply chain vulnerabilities. The webinar will also examine how organizations can implement 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 explore how to build trustworthy AI ecosystems while balancing autonomy with appropriate human control.
Key Takeaways:
- Understanding the changing trust, risk, and security landscape shaped by autonomous AI.
- Risks linked to AI agents, autonomous decision-making, and delegated actions.
- Understanding emerging risks related to data exposure, prompt manipulation, context poisoning, insecure tools, and AI supply chains.
- The role of human oversight and approval mechanisms in managing autonomous AI.
- How continuous monitoring, behavioral analysis, logging, and auditability can enhance visibility into AI activity.
- How AI risks can be integrated into enterprise risk management and security governance.
- Building trustworthy, secure, and resilient autonomous AI ecosystems.
Speaker:
Laura Samsó Pericón, Founder & Emerging Technology Strategist, Synarea Insights
Bio: Laura Samsó is the founder of Synarea Insights and an aerospace and defence professional with international experience in project, programme and technology environments. Her expertise spans cybersecurity, autonomous systems, AI-enabled decision-making, human-machine teaming, drones and cyber-physical resilience. She has spoken internationally since 2011 on emerging technologies and has contributed to European UAS regulatory initiatives and international defence research. Her work focuses on the intersection of technology, security and human judgement, with an emphasis on trust and decision resilience in increasingly autonomous systems.
