Forrester's AEGIS Framework: Agentic AI Enterprise Guardrails for Information Security

Unlike traditional AI systems, autonomous agents can reason, adapt, and act independently. They often initiate actions without direct human oversight. As agentic systems scale, security programs built for predictable, human-driven environments struggle to keep pace.

Forrester’s AEGIS Framework examines how organizations can secure the agentic enterprise by applying guardrails across governance, identity, data, and security operations. This independent research outlines why a data-centric approach is critical for managing the emergent risks introduced by autonomous AI.

The AEGIS framework outlines:

• Why agentic AI introduces new forms of risk, including emergent behaviors and cascading failures
• The 6 security domains for securing agentic enterprises
• Why data visibility, classification, and access context are foundational to agentic AI governance
• How governance, identity, and data understanding form the first phase of agentic AI security
• What a phased roadmap looks like for securing agentic systems over the next 6, 18, and 36 months

Access the report to understand how AEGIS helps security leaders prepare for the next era of AI-driven risk.

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