AI has continued to alter the shape and form of intrusions in 2026, collapsing decision space for defenders and further eroding barriers to entry for attackers. Instead of large teams, extensive knowledge and deep pockets, attackers can prompt a public AI model to reach a quicker path to destruction. Breakout times that once gave defenders hours to respond have collapsed to seconds and vulnerabilities are being discovered faster than the industry can produce patches. The autonomous systems organizations are deploying to improve efficiency are simultaneously introducing attack surfaces that most security programs have never tested, monitored or rehearsed a response for.
This is a structural shift and the gap between what is happening and what organizations are prepared for keeps widening.
Join us on December 10 as we deliver a blunt, evidence-based discussion on where the AI threat landscape stands today, what is accelerating and what most organizations should consider as they revisit security strategies built on yesterday’s assumptions.
Topics covered:
- How AI-enabled attack vectors are accelerating reconnaissance, credential theft, evasion and data exfiltration across the enterprise
- What agentic AI attacks look like in practice, including autonomous breach campaigns, supervisor and executor architectures and multi-agent collusion scenarios already observed in the wild
- Why shadow AI has become a compounding enterprise risk that most security programs are not equipped to address
- How the discovery-to-patch gap is creating a structural advantage for attackers
- What priority actions organizations should take now to close the AI security gap
Whether your organization has an AI-ready security architecture or is currently refactoring, this session will provide actionable guidance regardless of maturity level.
Who should attend: ISOs, security architects, threat intelligence teams, incident response leads and risk and compliance professionals responsible for securing enterprise environments where AI is already in use.
