Webinar Description
Key Takeaways
- Explores the risks of unregulated AI adoption and the rise of Shadow AI in enterprise environments
- Introduces practical frameworks for mapping and validating AI-specific threats, including MITRE ATLAS and CTEM
- Highlights real-world vulnerabilities and operational challenges in defending AI-driven systems
- Focuses on actionable strategies for continuous security validation in organizations with significant AI use
- Targets security professionals seeking to address gaps in traditional security postures for AI
The rapid integration of artificial intelligence into enterprise workflows has introduced a new set of security challenges—many of which remain untested and poorly understood. “AI Sprawl: The Untested Attack Surface” is a cybersecurity webinar designed to address the growing risks associated with Shadow AI: the proliferation of unapproved AI tools, chatbots, and internal applications that often bypass formal security review. As organizations accelerate their adoption of AI, the need to treat these technologies as primary attack surfaces has become urgent.
Understanding Shadow AI and Its Risks
Shadow AI refers to the unsanctioned deployment of AI tools within organizations—ranging from employee chatbots to vendor copilots and retrieval-augmented generation (RAG) apps. These systems frequently operate outside the purview of security teams, creating blind spots that traditional controls fail to address. The session examines how this unchecked sprawl introduces new vulnerabilities, including prompt injection, tool poisoning, and agentic attacks, all of which can be exploited by adversaries targeting enterprise AI environments.
Mapping and Validating AI Threats
One of the central themes of the webinar is the importance of mapping AI-specific threats using frameworks like MITRE ATLAS. By leveraging structured threat intelligence, security teams can better understand the tactics and techniques adversaries use against AI systems. The session also introduces Continuous Threat Exposure Management (CTEM), a practical approach for continuously validating defenses and ensuring that AI-related risks are managed proactively rather than reactively.
Operational Challenges and Industry Relevance
Enterprises face significant operational hurdles as AI adoption outpaces the development of robust governance and security controls. The webinar addresses these challenges head-on, offering insights into real-world defense failures and the limitations of existing frameworks. For security professionals, the discussion provides a candid look at why traditional approaches often fall short and what it takes to build a resilient AI security posture in today’s threat landscape.
Practical Guidance for Security Leaders
Designed for CISOs, security architects, engineers, and technical leaders, the session delivers actionable guidance on treating AI as a first-class attack surface. Attendees will learn how to implement continuous validation processes, leverage threat mapping frameworks, and close the visibility gaps created by Shadow AI. The event is sponsored by AttackIQ, a security validation platform, and hosted by Security Buzz, underscoring its focus on practical, real-world solutions for enterprise environments.
Event Format and Audience
This virtual, one-hour webinar brings together industry experts to share knowledge and foster community among security professionals navigating the complexities of AI adoption. With a focus on education, thought leadership, and actionable takeaways, the event is particularly relevant for organizations seeking to validate and secure their AI-driven operations in an evolving threat landscape.