CISO Retreat

Unwind to Get Ready for the sessions

As artificial intelligence transitions from experimental technology to the core operating engine of modern enterprises, executive leadership demands a fundamental shift. The traditional mandate of defense and friction-heavy risk mitigation no longer scales against the speed of AI adoption.

Today’s security leaders must balance innovation with resilient control, holding the line on data integrity and third-party dependencies while empowering the business to innovate rapidly and safely.

This keynote explores the cultural, organizational, and strategic transformation required of contemporary CISOs to foster trust, command cross-functional influence across the executive suite, and guide their organizations securely into the AI era.

The session will discuss:

• Shifting from Gatekeeper to Value Enabler: Transition security leadership from a perceived barrier into a strategic business catalyst
• Building Cross-Functional AI Governance & Trust: Establish transparent trust models across the C-suite, ensuring security, legal, and operational teams share ownership
• Leading at Machine Speed: Cultivate an adaptive, resilient security culture capable of out-iterating AI-accelerated threats without slowing down organizational velocity or business agility.

AI hasn't just changed what enterprises can build — it's changed how fast attackers can move. This session examines how CISOs are preparing for AI-augmented attacks, expanding third-party dependencies, and incident response cycles that now unfold in minutes, not days.

The session will discuss:

• AI-powered threats: deepfakes, phishing and adaptive attacks;
• Third-party AI risk: visibility across the AI supply chain;
• Reimagining incident response: playbooks, escalation and rapid response;
• Graceful failure: kill switches, rollback and recovery protocols.

AI agents are changing how enterprises interact with SaaS — moving from users manually operating applications to agents that can access data, make decisions and take actions on their behalf. This shift creates new questions around identity, access, data exposure, governance and accountability. This session explores how security leaders can manage agentic access without slowing down enterprise productivity.

The session will discuss:

• Agentic SaaS risks: new attack surfaces created by autonomous AI agents
• Identity and access: controlling what agents can access and execute
• Governance and accountability: defining ownership, oversight and controls
• Securing agentic workflows: monitoring, restricting and responding to agent actions

As AI moves into critical enterprise workflows, security teams need to test these systems before attackers do. This session explores how CISOs can adopt an offensive mindset to identify weaknesses in AI models, applications and agentic workflows — and turn those findings into stronger security controls.

The session will discuss:

• Attack the AI stack: testing models, APIs, agents and AI applications for weaknesses;
• Expose AI vulnerabilities: identifying prompt injection, data leakage and privilege risks;
• Build for resilience: turning offensive testing into stronger AI security and response strategies.

A hands-on, practitioner-led format designed to tackle most pressing challenges confronting the security leaders through AI, head-on. Delegates roll up their sleeves and work through real problem statements.

The room is set up as a series of intimate roundtables — think 5 tables, 10 delegates each, in a relaxed café-style setting. Each sponsor is assigned a pre-determined theme and rotates across groups in 30-minute focused sessions, engaging directly with practitioners to surface pain points, stress-test ideas, and co-develop solution approaches. It is one of the most effective formats for sponsors to build genuine credibility with a senior, decision-ready audience.

As enterprises scale artificial intelligence across operational and security workflows, fragmented tooling often introduces blind spots, governance gaps, and integration friction. This session explores how adopting a unified platform consolidation strategy embeds security directly into the AI lifecycle from day one.

The session will discuss:

• Embedded Security Governance: Discover how an AI-by-design approach eliminates post-deployment retrofitting by embedding risk management, compliance controls, and data integrity safeguards directly into model development and deployment pipelines.
• Attack Surface Reduction: Learn how consolidating fragmented security and IT tooling into a single platform removes visibility silos, mitigates integration vulnerabilities, and simplifies threat detection across AI ecosystems.
• Operational Efficiency & Scale: Explore practical methods to lower total cost of ownership (TCO) and reduce operational overhead, enabling security teams to support rapid AI innovation without sacrificing enterprise resilience.

As organizations integrate generative and agentic AI into mission-critical workflows, novel attack vectors are challenging traditional cybersecurity models. Adversaries actively target the AI layer through manipulative prompt injections, corrupted training pipelines via data poisoning, and unauthorized employee adoption of unsanctioned AI tools.

The session will discuss:

• Defending Against Manipulation & Injection: Implement robust input sanitization, dynamic runtime guardrails, and contextual filtering.
• Preserving Data Pipeline Integrity: Establish data lineage verification, continuous anomaly detection, and tamper-resistant validation.
• Eliminating Shadow AI Blind Spots: Enforce automated discovery, API visibility, and unified policy controls across the enterprise network.

The convergence of generative AI and autonomous tooling has fundamentally altered the adversary playbook, enabling attackers to launch polymorphic, hyper-personalized campaigns that iterate and scale in minutes rather than days. When threat actors operate at algorithmic velocity, traditional human-in-the-loop detection models and legacy playbooks become critical liabilities.

The session will discuss:

• Countering Machine-Speed Offenses: Analyze the tactical evolution of AI-driven threat vectors like automated recon, real-time phishing adaptation, and dynamic evasion;
• Autonomous Incident Containment: Move beyond legacy, manual triage by implementing algorithmic detection and automated response workflows;
• Hardening the AI Attack Surface: Establish proactive defense mechanisms to protect high-risk integration layers, including models, APIs, and real-time data ingestion pipelines.