RSAC 2026: Confronting the Agentic AI Threat

The RSA Conference (RSAC) 2026 has been defined by a singular, alarming theme: the evolution of **Agentic AI** as a primary vector for cyber warfare. Unlike the "chatbot risks" discussed in 2024, today's threats involve autonomous agents capable of independent decision-making within a network.

What is an Agentic AI Threat?

An **Agentic AI threat** is a specialized LLM-based system designed to execute the full "kill chain" without human instruction. At RSAC, Microsoft Security revealed instances of agents that, once deployed via a standard phishing link, could autonomously scan for vulnerabilities, escalate their own privileges, and move laterally across a hybrid cloud environment.

Enter Agent Behavior Analytics (ABA)

To counter this, security firms like **Exabeam** and **ESET** have introduced **Agent Behavior Analytics (ABA)**. Similar to User and Entity Behavior Analytics (UEBA), ABA monitors the identities and permissions of non-human agents. If an agent designed for "Meeting Summarization" suddenly starts querying the production database, ABA systems trigger an immediate isolation protocol.

Preemptive Cybersecurity

The shift is moving from "Detect and Respond" to **"Preemptive Monitoring."** New tools now scan both the prompts sent to AI systems and the responses they generate to prevent "Shadow AI" risks and accidental data exfiltration through "jailbroken" internal agents.