As AI rapidly embeds itself into everyday enterprise software, security leaders are under mounting pressure. Gartner reports that more than 80% of existing software now includes third-party or embedded AI, accounting for over 40% of enterprise AI use, and growing. Yet most traditional security tools can’t see, classify, or control these embedded capabilities. Security teams are caught in the middle: CIOs push for productivity gains, boards demand transparency, and compliance teams need audit-ready proof for regulations still taking shape. The result is growing AI exposure without clear visibility, risk context, or governance.

Leading security teams are responding by shifting from blocking AI to enabling it safely. By implementing comprehensive AI visibility, contextual risk intelligence, and consistent guardrails, paired with runtime protection and user education, organizations can support AI-driven productivity while maintaining control, compliance readiness, and board confidence.

Join a select group of security executives and Aurascape for an interactive roundtable focused on practical AI governance strategies that deliver measurable outcomes: board confidence, compliance readiness, and secure productivity at scale that embraces AI with user education and guardrails.

At Aurascape, we’ve been on the front lines of cybersecurity for decades. Our team led the way at Palo Alto Networks, Zscaler, FireEye, Juniper, and Google—building the platforms that secured the cloud and the network before it. But when it came to securing AI, we ran into the same wall: traditional architectures couldn’t keep up. So, we left. Teamed up. And started fresh. Aurascape is born-in-AI: a new kind of security company built from the ground up to detect, analyze, and control how AI is used across the enterprise—in real time, with real intelligence, and without yesterday’s limitations. We didn’t just imagine a better way to secure AI—we built it.