{"id":84281,"date":"2026-02-24T08:06:26","date_gmt":"2026-02-24T08:06:26","guid":{"rendered":"https:\/\/www.eccouncil.org\/cybersecurity-exchange\/?p=84281"},"modified":"2026-03-18T12:35:37","modified_gmt":"2026-03-18T12:35:37","slug":"ai-enabled-cybersecurity-best-practices-what-security-leaders-must-adopt","status":"publish","type":"post","link":"https:\/\/www.eccouncil.org\/cybersecurity-exchange\/cyber-talks\/ai-enabled-cybersecurity-best-practices-what-security-leaders-must-adopt\/","title":{"rendered":"AI-Enabled Cybersecurity Best Practices: What Security Leaders Must Adopt"},"content":{"rendered":"\t\t
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Date:<\/strong> February 24, 2026
\nTime:<\/strong> 9:00 AM EST | 8:00 AM CST | 7:30 PM IST
\nTopic:<\/strong> AI-Enabled Cybersecurity Best Practices: What Security Leaders Must Adopt<\/p>\n

Watch Now<\/a><\/p>\n

Abstract: <\/strong>As artificial intelligence becomes deeply embedded in enterprise technology stacks, it is reshaping both cyber defense capabilities and the threat landscape itself. Adversaries are increasingly weaponizing AI to automate attacks, manipulate models, and exploit data dependencies, while organizations are racing to deploy AI-driven security tools at scale. This convergence creates a critical governance challenge: how to adopt AI in cybersecurity without amplifying risk or eroding trust.<\/p>\n

This session examines practical, real-world best practices for deploying AI-enabled cybersecurity capabilities through a governance-first lens. Drawing on leadership experience and operational insights, the discussion highlights how AI expands the attack surface through adversarial AI, model compromise, data poisoning, and opaque decision-making, while also enabling more adaptive and resilient security defenses.<\/p>\n

Using the Commitment\u2013Preparedness\u2013Discipline (CPD) governance framework, the session provides actionable guidance for aligning executive leadership, cybersecurity strategy, and enterprise risk management. Attendees will also learn how to establish clear ownership and accountability for AI initiatives (Commitment), architect secure and resilient AI-enabled systems (Preparedness), and operationalize continuous risk assessment, monitoring, and oversight across the AI lifecycle (Discipline).<\/p>\n

Key takeaways:<\/strong><\/p>\n

    \n
  • How AI is reshaping the cybersecurity threat landscape and expanding the enterprise attack surface<\/li>\n
  • Why governance, not technology alone, is the critical enabler of trustworthy AI adoption<\/li>\n
  • Applying the CPD framework to align leadership accountability, cybersecurity strategy, and AI risk management<\/li>\n
  • Best practices for designing and deploying AI-enabled security capabilities without increasing organizational exposure<\/li>\n
  • Operationalizing continuous monitoring, model oversight, and risk discipline across the AI lifecycle<\/li>\n<\/ul>\n

    Speaker:<\/strong>
    \n\"\"Dave Chatterjee, <\/strong> Adjunct Associate Professor, Duke University, and\u202fCreator of the Commitment\u2013Preparedness\u2013Discipline (CPD) framework
    \nBio: <\/strong>Dave Chatterjee, Ph.D., is a cybersecurity and technology strategist and Adjunct Associate Professor at Duke University, and a former tenured Associate Professor at the University of Georgia. He is the creator of the empirically grounded Commitment\u2013Preparedness\u2013Discipline (CPD) framework, which helps organizations translate cybersecurity strategy into resilient execution under real-world pressure. Dr. Chatterjee advises global enterprises on cybersecurity governance, AI risk, and operational resilience, and has participated in CISO SWAT teams and advisory boards. He is the author of Cybersecurity Readiness: A Holistic and High-Performance Approach and the techno-thriller The DeepFake Conspiracy (an Amazon bests Seller). He also hosts the Cybersecurity Readiness Podcast Series and contributes to the RSA Conference Expert Portal<\/p>\n

    <\/a><\/p>\n