Topic: Trust, Risk, and Security in Autonomous AI Ecosystems
Abstract: 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.
Key Takeaways:
- Understanding the evolving trust, risk, and security landscape created by autonomous AI.
- Risks associated with AI agents, autonomous decision-making, and delegated actions.
- Understanding emerging risks involving data exposure, prompt manipulation, context poisoning, insecure tools, and AI supply chains.
- Role of human oversight and approval mechanisms in managing autonomous AI.
- How continuous monitoring, behavioral analysis, logging, and auditability can improve visibility into AI activity.
- How AI risks can be incorporated 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.
