Abstract:

As artificial intelligence becomes embedded across the enterprise, cybersecurity leaders face a growing challenge: understanding where AI is being used, who is using it, what data it can access, and what risks it introduces. From shadow AI and unsanctioned tools to autonomous agents making decisions independently, the rapid expansion of AI is creating new security blind spots that traditional controls were never designed to address.

This panel explores how organizations can gain greater visibility into their AI environments, identify emerging risks, and establish practical governance frameworks without slowing innovation. Panelists will examine the challenges of monitoring AI applications, managing sensitive data exposure, overseeing third-party AI tools, and establishing accountability as autonomous systems become more prevalent. The conversation will also address how cybersecurity leaders can move beyond policies on paper to implement meaningful oversight, continuous monitoring, and enforceable guardrails that balance security, compliance, and business objectives.

Key Takeaways:

1. Eliminating AI Blind Spots: Discover strategies for identifying shadow AI, tracking AI usage, and understanding what data and systems AI tools can access across the enterprise.

2. Turning Governance into Action: Learn how to move from AI policies and frameworks to practical security controls, continuous monitoring, and measurable accountability.

3. Managing the Risks of Autonomous AI: Understand the unique security challenges introduced by AI agents, third-party models, and systems that operate with increasing independence.

4. Balancing Innovation with Security: Explore how organizations can establish effective AI guardrails that protect sensitive information while enabling responsible adoption and business growth.

Abstract:

The traditional security perimeter is disappearing, and identity has become one of the most critical lines of defense. From stolen credentials and sophisticated phishing attacks to privileged access abuse and the explosive growth of machine identities, organizations face an increasingly complex challenge in determining who, or what, should be trusted. And as AI agents begin accessing sensitive systems, interacting with applications, and making decisions independently, the identity landscape is becoming even more difficult to secure.

This panel examines how cybersecurity leaders must rethink identity security in a world where humans, machines, applications, and autonomous AI agents all require access to critical business resources. Panelists will explore evolving approaches to authentication, privileged access management, password security, identity threat detection, and Zero Trust. The discussion will also address how organizations can reduce excessive permissions, manage non-human identities at scale, and establish stronger controls over what AI agents are authorized to do. Attendees will gain practical perspectives on building an identity-first security strategy that adapts to an increasingly automated and interconnected enterprise.

Key Takeaways:

1. Securing Human and Non-Human Identities: Understand how to protect employees, service accounts, machine identities, and AI agents within a unified identity security strategy.

2. Strengthening Authentication and Access Controls: Explore modern approaches to phishing-resistant authentication, password security, privileged access management, and Zero Trust.

3. Controlling the Rise of AI Agents: Learn how to establish appropriate permissions, monitor autonomous activity, and prevent AI agents from accessing or acting beyond their intended authority.

4. Reducing Identity-Based Attack Risks: Discover strategies for identifying excessive privileges, detecting compromised credentials, limiting lateral movement, and strengthening identity threat detection and response.

Abstract:

The cyber threat landscape is evolving faster than ever, with artificial intelligence accelerating attacks, expanding the attack surface, and giving cybercriminals new ways to exploit vulnerabilities. From sophisticated ransomware campaigns and identity-based attacks to supply chain compromises and AI-powered threats, organizations must prepare for adversaries who are becoming faster, more adaptive, and increasingly difficult to predict. The challenge is no longer simply identifying threats, but understanding which ones pose the greatest risk and taking action before they disrupt the business.

This panel explores how cybersecurity leaders can combine threat intelligence, proactive threat modeling, and AI-powered security capabilities to anticipate attacks, identify critical exposures, and strengthen organizational resilience. Panelists will discuss how to translate threat intelligence into actionable defense strategies, use adversarial insights to prioritize

vulnerabilities, and identify potential attack paths before they are exploited. The conversation will also examine how threat modeling and continuous testing can improve incident response, inform security investments, and help organizations prepare for scenarios where prevention fails. Attendees will gain practical insights into shifting from reactive security operations toward a more predictive, intelligence-driven approach to cyber resilience.

Key Takeaways:

1. Turning Threat Intelligence into Action: Learn how to leverage real-time intelligence, attacker behavior, and emerging threat trends to make faster, more informed security decisions.

2. Anticipating Attacks Through Threat Modeling: Explore how to identify likely attack paths, assess potential business impact, and proactively address vulnerabilities before adversaries exploit them.

3. Using AI to Strengthen Cyber Defense: Understand how AI-powered detection, analytics, and automation can help security teams recognize emerging threats, prioritize risks, and accelerate response.

4. Building Resilience Beyond Prevention: Discover how intelligence-driven planning, continuous security testing, and incident response readiness can minimize disruption, improve recovery, and strengthen organizational resilience.