Artificial intelligence is no longer a future consideration for enterprise security—it is an active force reshaping both the attack surface and the defense landscape. Organizations are deploying AI-powered tools at unprecedented speed, yet most lack the governance structures, technical controls, and operational processes needed to do so securely. At the same time, adversaries are weaponizing AI to launch more sophisticated, faster-moving attacks that outpace traditional defenses.
In this webcast, SANS cybersecurity experts will share what they are hearing directly from security leaders across industries as they work to close this gap. Five themes are emerging consistently: managing AI-specific compliance and risk controls, maturing enterprise AI governance models, applying AI to strengthen cyber defense operations, defending against AI-driven threats such as fraud and deepfakes, and unlocking cost savings through AI-enabled automation—all while keeping security at the center.
To address these challenges head-on, SANS has developed a structured, lifecycle-based approach called MLSecOps. This session will provide a detailed walkthrough of all six phases: Scoping, Data Ops, Development, Validation, Deployment, and Operations. Each phase is designed with both core controls and advanced controls, giving organizations the flexibility to match their investment to their risk posture and maturity level.
Whether your organization is just beginning to define its AI security posture or looking to mature an existing program, this session delivers a practical, phased roadmap aligned to your team’s role and readiness. SANS’ MLSecOps approach is designed to progressively mature AI security across the full lifecycle—ensuring that as AI capabilities grow, the security program grows with them.
Who Should Attend
- CISOs and security leaders
- Security architects
- Data scientists
- AI/ML engineers
- Security operations
Learning Objectives
- A clear picture of the top AI security adoption challenges facing enterprises today
- An overview of SANS’ AI security strategy across governance, secure adoption, and defense against AI-enabled threats
- A breakdown of MLSecOps core and advanced controls mapped to various roles
- Practical guidance for assessing current AI security maturity and identifying priority gaps
- Actionable next steps to assess, uplift, and implement secure AI at a pace that fits your organization
This session supports concepts from LDR520: Emerging Trends for Cyber Leaders: AI and Cloud. To learn more, explore upcoming course runs, and access your free course preview, Click Here!
