CrowdStrike, Cisco and Palo Alto Networks all shipped agentic SOC tools at RSAC 2026 — the agent behavioral baseline gap survived all three

2026-04-01 · Source: VentureBeat · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy · Depth: Intermediate, medium

Summary

At RSA Conference 2026, CrowdStrike, Cisco, and Palo Alto Networks introduced new agentic Security Operations Center (SOC) tools, responding to a critical need as adversary breakout times have dropped to an average of 29 minutes, down from 48 minutes in 2024. CrowdStrike sensors now detect over 1,800 distinct AI applications, generating nearly 160 million unique application instances on enterprise endpoints. Cisco reported that 85% of enterprises have AI agent pilots, but only 5% are in production, largely due to security teams' inability to differentiate agent from human activity in logs. While vendors offer solutions like AI agents within SIEMs (Cisco/Splunk) and upstream pipeline detection (CrowdStrike), a critical gap remains: none provide an out-of-the-box agent behavioral baseline, leaving security teams to define normal agent activity themselves.

Key takeaway

For CISOs and security leaders grappling with the proliferation of AI agents, your immediate priority must be establishing a robust agent behavioral baseline. Given that no vendor currently offers an out-of-the-box solution, you must define authorized agent actions, APIs, and data access within your environment. This proactive step is crucial to differentiate legitimate agent activity from malicious exploits, especially with adversary breakout times shrinking to seconds, preventing your SOC from being overwhelmed by indistinguishable alerts.

Key insights

The rise of AI agents creates a security complexity gap, as current SOC tools lack agent behavioral baselining.

Principles

• Agent activity is indistinguishable from human activity in default logs.
• Security complexity increases with multiple point solutions for AI.
• Frontier AI creators are not adequately securing their models.

Method

Two main architectural approaches emerged: integrating AI agents directly into SIEMs (Cisco/Splunk) or pushing analytics into the data ingestion pipeline for real-time detection (CrowdStrike). Both aim to automate triage and accelerate detection.

In practice

• Inventory all AI agents on endpoints.
• Verify SOC stack can differentiate agent from human activity.
• Pressure-test your agent supply chain for vulnerabilities.

Topics

• AI Agents
• Agentic SOC Tools
• Cybersecurity Complexity
• Behavioral Baselines
• Supply Chain Attacks

Best for: CTO, VP of Engineering/Data, Executive, AI Security Engineer, Security Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by VentureBeat.