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META’s cybersecurity agenda is shaped by unprecedented digital acceleration, regulatory dynamism, and the proliferation of advanced threats across IT, OT, and cloud. As organizations embrace AI, platform-centric architectures, and hybrid environments, the attack surface expands and adversaries become more sophisticated—leveraging GenAI, identity compromise, and cyber-physical exploits. At the same time, regulatory mandates around data sovereignty and trust are intensifying. CISOs are challenged to orchestrate holistic defense strategies that unify technology, process, and people: integrating real-time detection, adaptive controls, and continuous compliance, while investing in workforce upskilling and AI augmentation. Achieving resilience in this environment demands a proactive, inclusive approach—balancing innovation, operational continuity, and regulatory alignment across the region’s diverse digital landscape.

Agentic AI is the new frontier and it’s pushing security teams into uncharted territory.  The lines between defenders and machines are blurring, and new threats overwhelm traditional defenses. It’s why you need agentic SecOps.   This session will provide practical insights and strategies for building the modern, human-led agentic SOC that operates at machine speed and scale.

As organizations accelerate AI adoption to drive innovation, productivity, and business transformation, they are also expanding their cybersecurity risk landscape.

Many enterprises still face challenges in establishing the visibility, governance, and control mechanisms required to secure AI-enabled environments effectively. These gaps can create vulnerabilities across data protection, model integrity, access management, and regulatory compliance.

To unlock the full value of AI with confidence, organizations must adopt a structured, risk-based approach to identifying, prioritizing, and addressing security gaps. Strengthening AI governance and resilience enables businesses to scale AI initiatives securely while maintaining trust, compliance, and operational excellence.

Cybersecurity leaders are increasingly challenged to demonstrate how security investment translates into measurable business outcomes. This session explores how organizations can operationalize cybersecurity through outcome-based delivery, quantified cyber risk, and resilience-first prioritization. Moving beyond fragmented tools and isolated initiatives, the discussion will focus on building security models aligned with operational continuity, faster recovery, and measurable risk reduction. Attendees will gain practical perspectives on prioritizing investments based on business impact and strengthening resilience through repeatable, outcome-driven cyber operations.

Attackers use AI to strike in minutes. To adapt, we must shift our perspective from manual reaction to automated mobilization. This session demonstrates how to utilize a ‘virtual crew’ of AI agents to ingest intelligence, build attack playbooks, simulate threats to find gaps, and mobilize fixes.

AI workloads, autonomous agents, and machine-driven traffic are pushing enterprise networks beyond their breaking point. This session explores why legacy architectures are failing under distributed inference and intelligent adversaries, then shares five immutable principles for the next-generation network.

As organizations rapidly adopt Large Language Models (LLMs) and generative AI technologies, a new cybersecurity threat is emerging through prompt-based attacks and AI manipulation techniques. These threats can compromise AI behavior, expose sensitive information, disrupt business operations, and erode organizational trust. This session explores the evolving risks associated with prompt injection attacks, jailbreak techniques, and malicious AI interactions, while highlighting their impact on enterprise security and business continuity. The discussion will focus on how organizations can strengthen AI resilience through proactive detection, secure AI design, governance, and risk management strategies.

Attendees will gain practical insights into building resilient AI systems that can withstand emerging threats while enabling innovation, operational stability, and trusted adoption of generative AI technologies.

As ransomware and sophisticated threats grow more destructive, prevention alone is no longer enough. This session explores how organizations can leverage modern data security platforms to withstand attacks, recover rapidly, and maintain business continuity when defenses are breached.

Vulnerability management has been on life support for years, creating noise instead of reducing risk. In the age of Mythos and AI-augmented threat actors, what matters is exploitability, how it can be chained into real attack paths, and the business impact it creates; not log lists of CVE’s. With the advancement of AI, security teams are now able to hack themselves continuously and at scale, therefore moving beyond static counts and outdated severity scores toward Risk Based Exposure Management with focus on real world attack paths.

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