M365 environments are more complex, but security gaps persist and are now delaying AI adoption. As Copilot surfaces hidden risks in SharePoint and beyond, issues like oversharing and weak governance are becoming strategic blockers to innovation.
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[Register now to discover how frontier AI is transforming the modern SOC. This session explores agentic workflows, AI-driven risks and scalable vulnerability management through CTEM. Learn practical ways to align exposure management with detection and response, prioritise remediation and stay ahead of AI-enabled attackers.
Insider risk is evolving beyond humans to include AI agents and machine identities. We explore this hybrid threat, and how behaviour analytics helps detect drift, expose shadow AI, and identify compromised systems so organisations can strengthen defences for the agentic enterprise.
Agentic AI is transforming how attackers operate. We break down today's attack patterns, how they will evolve, and what that means for risk. Learn how to assess your current defences, identify gaps, and prepare your organisation for the next wave of agent driven threats.
As AI use expands across web, desktop and local models, security teams are losing visibility into real risk. This session shows how real‑time AI insight, behavioural context and smart nudges help teams prevent data exposure. Join us to learn how to secure AI without slowing innovation.
You have shipped AI into production. Security has changed, whether you planned for it or not. We unpack the new attack surface, from prompt abuse to hidden model dependencies, and show how leaders regain control through clear inventory, testing and governance.
AI has quietly rewritten how software is built. When machines produce code at scale, old secure-by-design assumptions fail fast. We look at where new risks emerge, why speed now expands our exposure, and how security and engineering leaders must reset current practices to stay competitive and credible.
We discover what works, what fails and consider the risks of autonomy. We also examine dangerous anti‑patterns and explore how to secure AI agents before control is lost.
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