AI Security & Governance
AI Security and Governance examines how organizations can secure the AI lifecycle—from data pipelines to agentic systems—while maintaining transparency, compliance, and trust. This content covers evolving risks such as model misuse, data integrity, and governance gaps, offering frameworks for responsible AI adoption.
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MCP 2.0 Explained: Securing AI Agents in the Enterprise
How do enterprises securely operationalize AI agents? We break down MCP 2.0—the evolving protocol shaping how AI models safely interact with enterprise systems.
Unified Resilience Meets Conversational AI
Unpack how conversational AI and unified cyber resilience are changing the way organizations interact with data and recover from cyber incidents.
From Data Chaos to AI Confidence
Explore how modern, data-driven organizations can move fast without sacrificing security, privacy, or compliance.
Building AI on a Foundation of Cyber Resilience
A pragmatic playbook for enterprise leaders navigating the AI era — where innovation meets governance, and agility meets resilience.
AI Resilience Blueprint
Successful Al implementation requires clear milestones and measurable progress markers to ensure initiatives stay on track and deliver promised value.
Protecting the AI Stack
AI workloads are becoming critical to business operations – and they need protection like any other core application.
The Agentic Revolution
Preparing your data infrastructure for AI that takes initiative.
SHIFT: Re-envisioning Resilience for the Age of AI
ResOps is a new operational approach that enables you to actively manage resilience across increasingly complex emerging AI environments.
AI for AI's Sake Is Not the Right Approach
How to develop a smarter strategy to adopting new tools.
What's Top of Mind for CISOs in 2025
Host Darren Thomson breaks down the top 6 priorities dominating CISO conversations in 2025, based on exclusive insights from security leaders across the industry.
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