You Are Securing AI. Can You Prove Your AI Is Secure?

AI adoption is accelerating across APAC, but securing AI is becoming more than a technology challenge. As organizations move AI from experimentation into production, security leaders must answer a harder question: Can we prove our AI is secure, governed, and continuously managed?

Policies and questionnaires alone cannot provide that proof. Organizations need visibility across AI assets, configurations, applications, models, agents, and runtime environments, along with evidence that security controls continue to work as risks evolve.

Join Qualys experts to explore how organizations can build an evidence-based AI governance program from code to runtime, connecting AI security with continuous risk management, regulatory expectations, customer assurance, and executive oversight.

Discover how to turn fragmented AI security signals into measurable risk and actionable governance.

What You'll Learn

• How to establish visibility across AI assets, models, applications, and agents.
• How to continuously identify, assess, and prioritize AI-related security risks.
• How to connect AI security controls with governance and compliance requirements.
• How to generate evidence for NIST, EU AI Act, customer questionnaires, and executive oversight.
• How to move from fragmented AI security signals to measurable, actionable AI risk management.