Industry Experts

Balancing innovation with ethical governance is crucial for ensuring fairness, accountability, and public trust in the age of intelligent machines.

How security posture management for AI can protect against model poisoning, excessive agency, jailbreaking and other LLM risks.

This year’s theme focuses on government entities and small and medium-sized businesses that are vital to protecting the systems and services that keep our communities running.

Bringing politics into professional spaces undermines decision-making, collaboration, and ultimately weakens security teams.

Widespread adoption of AI coding tools accelerates development—but also introduces critical vulnerabilities that demand stronger governance and oversight.

Building secure AI agent systems requires a disciplined engineering approach focused on deliberate architecture and human oversight.

By focusing on fundamentals, enterprises can avoid the distraction of hype and build security programs that are consistent, resilient, and effective over the long run.

As attackers target help desks and identity systems, traditional security perimeters are proving insufficient against agile, socially-engineered threats.

Why context, behavioral baselines, and multi-source visibility are the new pillars of identity security in a world where credentials alone no longer cut it.

From prompt injection to emergent behavior, today’s curious AI models are quietly breaching trust boundaries.

Once a manageable function, security operations has become a battlefield of complexity.

AI-made decisions are in many ways shaping and governing human lives. Companies have a moral, social, and fiduciary duty to responsibly lead its take-up.

Ransomware is a major threat to the enterprise. Tools and training help, but survival depends on one thing: your organization’s muscle memory to respond fast and recover stronger.

Strong security doesn’t just rely on tools—it starts with trust, clarity, and sincerity from the top down.

The future of secure digital engagement depends on continuous identity verification and proofing that can scale with risk.

In a rapidly changing AI environment, CISOs are worried about investing in the wrong solution or simply not investing because they can’t decide what the best option is.