Forrester's new AEGIS framework provides six domains to secure agentic AI. Enterprises like Apple face new risks as AI agents become autonomous and adaptive.
Alpha Score of 61 reflects moderate overall profile with moderate momentum, weak value, strong quality, strong sentiment.
Forrester Research released a framework Wednesday aimed at helping chief information security officers secure AI agents, which the firm says pose risks that traditional cybersecurity models cannot handle. The framework, called AEGIS – short for Agentic AI Enterprise Guardrails for Information Security – covers six domains: identity and access, data privacy, operations, risk, architecture, and governance.
The framework introduces principles such as "least agency" and "continuous assurance," Forrester said. It includes a phased implementation roadmap because the shift from securing generative AI to securing autonomous agents is urgent but not overnight.
Enterprises across sectors are deploying AI agents that adapt and act autonomously. Apple, for example, has integrated AI agents into its products and internal workflows. AEGIS offers a structure for CISOs to secure intent rather than just infrastructure, Forrester said.
The report recommends security leaders shift from "block or allow" to "probability of success" and conduct agent red-teaming, among other steps. Forrester will hold dedicated sessions on AEGIS at its Security & Risk Forum in Washington, D.C., Nov. 9-10.
Drafted by a large language model from the source reporting linked above, then screened by automated publishing checks. It is not read by a journalist before publication. Some articles cite our Alpha Score. Verify prices and figures against the original source. Educational coverage, not personalized advice.