Webinar Description
Key Takeaways
- Explores the operational risks of AI agents already active within enterprise networks
- Clarifies the distinction between network-layer and AI-layer entitlements
- Highlights gaps in current access models and cybersecurity controls
- Introduces a practical vocabulary for understanding AI agents, models, and tools
- Examines the limitations of current AI “guardrails” in addressing security threats
- Positions AppGate ZTNA as a direct-routed Zero Trust solution in this evolving landscape
As artificial intelligence becomes embedded in daily business operations, many organizations are discovering that AI agents are already running on their networks—often without a clear access strategy in place. The upcoming webinar, “AI Is Already on Your Network. Is Your Access Model Ready?” addresses the urgent need for security leaders to rethink how access and entitlements are managed in this new environment.
Understanding the New AI Landscape
AI agents now routinely read documents, query databases, and interact with critical systems. Unlike traditional users, these agents often operate with a mix of inherited and tool-specific permissions, sometimes accessing resources beyond what their human operators could reach. This creates a complex web of entitlements that legacy access models were never designed to handle.
Why Traditional Access Models Fall Short
Most existing access architectures were built around human users, not autonomous agents. The result is a significant gap: network-layer entitlements and AI-layer entitlements are fundamentally different, yet most organizations only manage one side of the equation. Agents may authenticate through scoped OAuth, leverage plugins, or install their own tools, introducing new vectors for exposure that traditional controls overlook.
Beyond AI “Guardrails”: The Cybersecurity Imperative
While much of the industry’s focus has been on AI “guardrails” for hallucination, safety, and content moderation, these measures do little to address the underlying cybersecurity risks. The webinar will map out where these guardrails end and where robust security controls must begin, offering a candid look at the operational realities facing security teams today.
Building a Practical Vocabulary for Risk Assessment
Participants will gain a working vocabulary for distinguishing between AI agents, models, providers, and tools—an essential step for understanding risk. The session will outline four critical questions every organization should be asking: which providers are in use, which models are exposed, what data is flowing into them, and what tools agents can access. This framework is designed to help security leaders map their real exposure and prioritize their response.
AppGate ZTNA and the Path Forward
The discussion will also highlight where AppGate ZTNA fits as a direct-routed Zero Trust Network Access solution, and where the broader industry still faces challenges at the agent and tool layer. As organizations adapt to the realities of AI-driven operations, understanding and addressing these gaps is becoming a critical part of the security agenda.