SecureWorld Artificial Intelligence Virtual Conference 2026

Your opportunity to visit our solution vendor partners, whose sponsorship makes SecureWorld possible! Peruse the many downloadable resources each booth has to offer.

Visit the Networking Hall to network with attendees and connect with our vendor sponsors and association partners.

In today’s digital economy, your most valuable assets are no longer sitting in filing cabinets or protected by patents alone—they are embedded in data, algorithms, models, and cloud infrastructure. Artificial intelligence has accelerated innovation, but it has also dramatically expanded the attack surface for security teams. Adversaries are no longer just stealing files; they are extracting insights, replicating capabilities, and exploiting weak governance around AI systems. The speed of digital replication means competitive advantage can erode faster than most organizations realize. For CISOs and security leaders, protecting intellectual property now requires a fundamentally different mindset.

This session explores how AI is reshaping cybersecurity strategy and why traditional controls are no longer enough. Security teams must think beyond perimeter defense and start viewing AI systems, training data, and automation pipelines as crown-jewel assets. The challenge is not just preventing breaches, but ensuring resilience when systems are targeted. Governance gaps between innovation teams and security functions are creating blind spots that attackers can exploit. Leaders who understand this shift will move from reactive defense to proactive architectural protection.

At the same time, AI is not just a source of risk—it is a force multiplier for defense. When deployed strategically, AI can enhance detection, reduce dwell time, and strengthen operational resilience. The organizations that win will be those that integrate security into AI development from the start rather than bolting it on later. Competitive advantage in the digital era will belong to companies that treat cybersecurity as a business enabler, not a compliance requirement. The future will not be defined by who builds AI fastest, but by who secures it best.

As organizations rush to implement artificial intelligence, many are developing AI capabilities just to stay up with the competition, rather than to solve important challenges. This rush for visibility and innovation has resulted in a rising gap between existing AI systems and those that provide genuine value. The end effect is increased complexity, operational risk, and a misalignment of technology, business needs, and governance.

This session investigates why intention and discipline, simply not speed, are the foundations of good AI. It questions the premise that quicker AI adoption inherently leads to better outcomes and investigates how poorly specified AI initiatives frequently generate technical debt, privacy risks, and governance gaps while offering little demonstrable impact. Through a governance and risk-informed lens, the conversation focuses on what useful AI looks like when it is designed to address real operational bottlenecks, customer requirements, and business outcomes. It emphasizes the importance of responsible design, oversight frameworks, and cross-functional accountability in developing AI systems that are both innovative and sustainable.

Attendees will leave with a practical methodology for determining whether an AI idea is worth developing, how to incorporate responsibility and discipline into the AI lifecycle, and how to move beyond innovation theatre to AI that adds true value and has long-term impact.

Organizations are pivoting toward Agentic AI, which results in large-scale data misappropriation evolving from technical nuisance to board-level fiduciary crisis. Drawing on research submitted to the White House OSTP and the Purdue AI Management & Policy program, this session outlines a strategic blueprint for protecting proprietary data. Attendees will explore a Three-Pillar Defense: Technical Architecture, Product-Embedded Safeguards, and Policy-Driven Governance. This session bridges the gap between technical defense and executive risk reporting, providing a practitioner’s roadmap for operationalizing the NIST AI RMF to ensure long-term resilience and data integrity.

Attendees will gain a three-pillar strategic framework to reframe AI scraping as a board-level fiduciary risk while learning actionable steps to operationalize NIST AI RMF standards for long-term data integrity.

Visit the Networking Hall to network with attendees and connect with our vendor sponsors and association partners.

AI adoption inside organizations is accelerating faster than governance frameworks can keep up. While much of the conversation focuses on securing large language models and understanding how they work, many organizations are overlooking a more immediate risk: how AI tools are being introduced, accessed, and used across the business.

This session reframes AI governance through a familiar lens—Governance, Risk, and Compliance (GRC). Rather than treating AI as a completely new and undefined risk category, we explore how existing security and risk management practices can be effectively extended to AI tools and platforms.

Most organizations don’t need a brand-new AI governance framework—they need to operationalize the one they already have.

Attendees will learn how to evaluate AI solutions using practical, established criteria: encryption in transit and at rest, access controls, data handling practices, regulatory alignment (HIPAA, PCI, SOC 2, where applicable), and disaster recovery capabilities. The session walks through how to incorporate AI into vendor risk assessments, third-party risk management programs, and internal control frameworks—delivering a pragmatic approach for security and risk leaders who need to move quickly without reinventing their entire governance model.

Attendees will leave with a practical, immediately actionable framework for governing AI tools using the GRC practices they already have—so they can safely enable AI in their organizations without waiting for the industry to agree on a standard.

• Understand why AI governance should be integrated into existing GRC frameworks rather than treated as a separate discipline
• Learn how to apply traditional risk assessment methodologies to AI tools and platforms
• Identify key control areas for AI: encryption, access controls, compliance alignment, data governance, and operational resilience
• Incorporate AI tools into vendor risk management and third-party assessment programs
• Walk away with a practical framework to begin governing AI immediately—starting Monday morning

Shadow AI is the new “Bring Your Own Device,” but the stakes are significantly higher. When employees feed proprietary code or sensitive data into unvetted LLMs, the perimeter doesn’t just leak—it dissolves. In this session, Hemanth Tadepalli breaks down the anatomy of AI Data Risk and provides a tactical roadmap for bringing these “shadow” operations into the light. Using the ISO 42001 framework as our North Star, we will discuss how to build a resilient AI Management System (AIMS) that tames the chaos of unauthorized AI usage while keeping your organization’s data under lock and key.

Session details to come.

Visit the Networking Hall to network with attendees and connect with our vendor sponsors and association partners.

Generative AI has made it trivial to create synthetic identities and autonomous agents that behave like real users until it is too late. Traditional IAM and API security focus on authentication rather than whether an identity should be trusted with a specific action.

Drawing on experience from LinkedIn identity systems and Oracle Health Sciences, this session explores how to design trust signals for AI-agent access. Attendees will learn architectural patterns for building a dedicated trust-signal layer, combining authentication with behavioral usage patterns and credential provenance.

The session will cover how to expose these signals to security controls and generate human-understandable explanations for access decisions, helping organizations safely adopt AI agents while defending against automated abuse.

Session details to come

Session details to come.

Visit the Networking Hall to network with attendees and connect with our vendor sponsors and association partners.

Artificial Intelligence is no longer just a driver of productivity; it is the primary battlefield of modern global conflict. This session connects the dots between geopolitical volatility and the immediate risks to model integrity, data sovereignty, and cognitive security. We will examine how shifting alliances involving major powers like Russia, China, and the EU are reshaping the cyber threat landscape—specifically targeting sovereign AI clusters, decentralized compute networks, and the global semiconductor supply chain.

The discussion will pivot to the “internal” evolution of the sector, analyzing the rapid integration of Agentic AI in critical infrastructure and the resulting “black box” regulatory and privacy minefield. From state-aligned actors seeking to poison training datasets to sophisticated syndicates deploying automated exploit-generation engines, we will profile the adversaries threatening the global digital order.

Join us for a 2026 outlook that moves beyond mere ethical frameworks, offering a battle-tested strategy for maintaining operational resilience and model alignment in the face of unprecedented global instability.

Session details to come.

Fraud has always exploited trust. Deepfakes industrialize it.

This session explores a forensic analysis of the $25M Arup deepfake-enabled fraud case. Attendees will learn how attackers combined social engineering, real-time voice/video impersonation, and “routine” business processes to trigger high-value payments and approvals.

You’ll leave with a practical, investigation-ready response framework built for security leaders, fraud examiners, and risk teams working together:

• Triage: fast signal detection and decision routing when a request “feels real” but smells wrong
• Preserve: capturing the right artifacts (transactions, communications, video/voice originals, metadata) to avoid losing proof
• Validate: out-of-band confirmation and corroboration that separates deception from reality
• Report: bank/law enforcement escalation, internal notification, and documentation that stands up to scrutiny

We’ll also pressure-test common misconceptions; why “better deepfake detectors” won’t save you by themselves, how attackers weaponize urgency and authority, and which finance-process controls reduce loss fastest.

Visit the Networking Hall to network with attendees and connect with our vendor sponsors and association partners.