Webinars

How to Detect Insider Threats through AI Interactions

As AI becomes a central part of enterprise operations, security teams face an evolving challenge: detecting insider threats hidden within the behavioral signals of employee AI interactions. Traditional security tools often overlook these subtle patterns, which can reveal early signs of organizational risks. In this webinar, we explore key AI insider threat signals that organizations must monitor, and how WitnessAI’s Organizational Behavior Guardrail can help detect these behaviors to enable faster, proactive security responses.

Key Signals:

Detect Data Protection Policy Violations like attempts to bypass firewalls or disable security monitoring
Identify early signs of Intellectual Property Risk, such as bulk file downloads or data exfiltration inquiries
Recognize Security Compliance Risks by tracking attempts to circumvent security protocols or escalate privileges
Uncover Malicious Intent Indicators like fraud concealment or unauthorized system access

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Meet Your Speakers

Trevor Welsh

VP Products, WitnessAI

Trevor Welsh is a seasoned executive in the AI and cybersecurity sectors. With over two decades of experience in product leadership and innovation, Trevor has been instrumental in shaping cutting-edge security solutions for some of the most critical areas in technology, including cloud security and edge computing. He has held senior roles at leading organizations like Lacework, Google, Anomali, and Splunk where he built and led high-performing teams.