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State and local leaders are under pressure to deliver modern services, fast—and agentic AI looks like the accelerant. But autonomy introduces new risks you’re not staffed or tooled to absorb: emergent behaviors, goal hijacking, privilege sprawl and cascading failures that evade traditional controls. This session introduced Forrester’s AEGIS (Agentic AI Enterprise Guardrails for Information Security) framework, a practical blueprint to go faster without gambling on trust. 

 

During this webinar, we demystified how agentic AI changes the security paradigm and showed how AEGIS operationalizes guardrails across six domains—GRC, Identity & Access, Data Security & Privacy, Application Security, Threat Management and Zero Trust principles—so you can protect intent, data and infrastructure as you scale. We also translated key AEGIS principles—least agency, continuous assurance and explainable outcomes—into steps your teams can implement now, from governance-first readiness to identity- and data-centric controls that harden autonomy safely. Attendees left with a phased roadmap SLED teams can execute—and the confidence to accelerate innovation without widening your attack surface. 

 

Key Takeaways
- Translate urgency into guardrails. Attendees now understand how agentic AI shifts security from infrastructure-centric to intent-centric and why legacy controls miss emergent agent behaviors. 
- Apply AEGIS across six domains. Attendees are now able to map their current capabilities to GRC, IAM, Data Security & Privacy, AppSec, Threat Management and Zero Trust to spot fast-fix gaps. 
- Protect intent, data and workloads. Attendees can now implement early “no-regrets” controls (privilege scoping, data segmentation/labeling, guardrail patterns in pipelines) compatible with their ZT roadmap.  
- Phase adoption. Attendees will now start with governance & risk, mature IAM for agents, then expand through data and app security into detection/response and Zero Trust patterns.