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Guarding the Invisible: How to Secure Data in the Age of Shadow AI
Did you know? On average, organizations now use over 320 cloud-based AI applications, many of which are not built with security or compliance in mind.
As teams rush to harness AI for productivity and innovation, unsanctioned tools and hidden AI integrations are spreading fast, creating a new frontier of unseen risk: Shadow AI. Just as Shadow IT once reshaped cloud security, Shadow AI is now introducing data exposure, compliance violations, and LLM-driven vulnerabilities that most organizations can't yet see. In this session, Skyhigh Security experts reveal how to shine a light on Shadow AI, evaluate LLM risks, and build governance frameworks that balance innovation with protection. Learn how to regain control, safeguard sensitive data, and empower your teams to use AI responsibly — without slowing progress.
Agenda
- How to gain visibility into Shadow AI usage and map unsanctioned AI traffic across the enterprise
- Importance of understanding LLM risk in evaluating shadow AI apps
- Implementing governance and data protection controls that align with enterprise security frameworks
- Practical guidance for drafting an acceptable AI usage policy that empowers employees while safeguarding sensitive data
- Building a Shadow AI readiness strategy that minimizes data-loss, compliance, and reputational risks
By the end of this session, you will understand how to transform your organization's data security posture from reactive to proactive, ensuring sensitive information is protected and managed effectively.
