Webinar Description
Key Takeaways
- Explores security risks unique to agentic AI systems
- Introduces the Agentic Security Graph framework
- Highlights the importance of visibility across LLMs, MCP servers, and APIs
- Demonstrates cross-layer attack detection and response strategies
- Presents operational solutions for continuous discovery and AI-driven defense
The event, “The Agentic Security Graph: Get Visibility into your AI Security Risks,” provides a comprehensive overview of the evolving security landscape as enterprises adopt agentic AI. Attendees gain insights into the new risk vectors that emerge when AI agents move beyond conversational outputs to execute real-world tasks through interconnected systems. The session is designed for security professionals and technology leaders seeking actionable strategies to secure advanced AI deployments.
Understanding Agentic AI Security Risks
As organizations transition from traditional conversational AI to agentic AI, the security paradigm shifts significantly. The primary risks no longer reside solely in model outputs but extend to the action layer, where AI agents interact with MCP servers and APIs. This expanded attack surface introduces new vulnerabilities that require specialized controls and monitoring.
The Agentic Security Graph framework is introduced to map and manage these risks across three critical layers: LLMs, MCP servers, and APIs. By visualizing the interconnected nature of these components, security teams can better understand where threats may arise and how to address them proactively.
Comprehensive Visibility and Governance
Visibility is essential for effective governance and risk management in agentic AI environments. Traditional controls focused on LLMs are insufficient for detecting and mitigating threats that traverse multiple layers. The event emphasizes the need for real-time detection and governance mechanisms that span the entire operational stack.
Salt Security presents an operational approach that combines continuous discovery (AG-SPM) with AI-driven detection and response (AG-DR). This integrated solution enables organizations to inventory, govern, and secure AI agents and their supporting infrastructure, transforming previously invisible risks into auditable and manageable security postures.
Operational Strategies and Compliance
Attendees learn practical strategies for defending against cross-layer attacks and ensuring compliance with evolving regulations. The event covers how to implement full-stack defenses that address the unique challenges of agentic AI, including inventory management, governance, and rapid incident response.
By adopting the Agentic Security Graph and leveraging advanced detection technologies, enterprises can achieve a robust security posture that supports innovation while minimizing operational risk. The session positions Salt Security as a leader in agentic AI security, offering solutions tailored to the needs of modern, AI-driven organizations.