Webinar Description
Key Takeaways
- Explores the security risks and compliance challenges of shadow AI in enterprise environments
- Highlights the importance of visibility and monitoring for AI tool usage
- Shares practical Zero Trust strategies for identifying and controlling unsanctioned AI
- Examines how attackers leverage AI to evade traditional defenses
- Features insights from ThreatLocker’s CEO and Chief Product Officer
As artificial intelligence tools proliferate across organizations, the risks associated with unsanctioned or unmonitored AI—often referred to as “shadow AI”—have become a pressing concern for IT and security leaders. The webinar, “How to Uncover Shadow AI and Stay in Control,” hosted by ThreatLocker, addresses these emerging challenges with a focus on actionable strategies for maintaining oversight and compliance in the age of rapid AI adoption.
Understanding the Risks of Shadow AI
Shadow AI refers to the use of artificial intelligence tools and services within an organization without formal approval or oversight. This phenomenon can lead to unintended data exposure, compliance violations, and significant security gaps. As employees experiment with new AI-powered solutions, sensitive information may be processed or stored outside sanctioned environments, increasing the risk of breaches and regulatory penalties.
Visibility and Control: The Foundation of AI Governance
One of the central themes of the session is the need for robust visibility into AI activity. Without clear insight into which tools are in use and how data is being handled, organizations struggle to enforce security policies or respond to emerging threats. The event explores how a Zero Trust approach—built on the principle of “never trust, always verify”—can help IT teams identify, monitor, and control AI usage before it introduces unnecessary risk.
How Attackers Exploit AI
Attackers are increasingly leveraging AI to bypass traditional security controls, automate reconnaissance, and accelerate the development of sophisticated threats. The webinar examines real-world scenarios where adversaries use AI to evade detection, underscoring the importance of proactive monitoring and adaptive defense strategies.
Zero Trust Strategies for Securing AI Adoption
ThreatLocker’s executive team shares practical guidance on implementing Zero Trust frameworks tailored to the challenges of AI governance. Attendees gain insight into policy creation, access controls, and continuous monitoring techniques that help organizations embrace AI innovation without sacrificing security or compliance. The discussion includes operational considerations for sectors with heightened regulatory requirements, such as finance, healthcare, and government.
Who Should Attend
This session is designed for IT professionals, cybersecurity practitioners, compliance officers, and technology decision-makers responsible for managing risk and protecting sensitive data. The content is particularly relevant for organizations navigating the complexities of AI adoption in regulated industries or those seeking to strengthen their overall security posture.
Event Format and Experience
The webinar is delivered virtually and features executive-level speakers from ThreatLocker, including the CEO and Chief Product Officer. Participants can expect a blend of educational content, practical takeaways, and opportunities for live Q&A. Downloadable resources are available to support ongoing learning and implementation.
Industry Context and Relevance
As organizations accelerate their adoption of AI, the need for effective governance and risk management has never been more urgent. Shadow AI represents a growing blind spot for many enterprises, with potential consequences ranging from data loss to regulatory action. This event provides timely insights and operational strategies for staying ahead of evolving threats while enabling secure, compliant innovation.