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

CrowdStrike CEO George Kurtz highlighted in his RSA Conference 2026 keynote that the fastest recorded adversary breakout time has dropped to 27 seconds. The average is now 29 minutes, down from 48 minutes in 2024. That is how much time defenders have before a threat spreads. Now CrowdStrike sensors detect more than 1,800 distinct AI applications running on enterprise endpoints, representing nearly 160 million unique application instances. Every one generates detection events, identity events, and data access logs flowing into SIEM systems architected for human-speed workflows.

Cisco found that 85% of surveyed enterprise customers have AI agent pilots underway. Only 5% moved agents into production, according to Cisco President and Chief Product Officer Jeetu Patel in his RSAC blog post. That 80-point gap exists because security teams cannot answer the basic questions agents force. Which agents are running, what are they authorized to do, and who is accountable when one goes wrong.

“The number one threat is security complexity. But we’re running towards that direction in AI as well,” Etay Maor, VP of Threat Intelligence at Cato Networks, told VentureBeat at RSAC 2026. Maor has attended the conference for 16 consecutive years. “We’re going with multiple point solutions for AI. And now you’re creating the next wave of security complexity.”

Agents look identical to humans in your logs

In most default logging configurations, agent-initiated activity looks identical to human-initiated activity in security logs. “It looks indistinguishable if an agent runs Louis’s web browser versus if Louis runs his browser,” Elia Zaitsev, CTO of CrowdStrike, told VentureBeat in an exclusive interview at RSAC 2026. Distinguishing the two requires walking the process tree. “I can actually walk up that process tree and say, this Chrome process was launched by Louis from the desktop. This Chrome process was launched from Louis’s cloud Cowork or ChatGPT application. Thus, it’s agentically controlled.”

Without that depth of endpoint visibility, a compromised agent executing a sanctioned API call with valid credentials fires zero alerts. The exploit surface is already being tested. During his keynote, Kurtz described ClawHavoc, the first major supply chain attack on an AI agent ecosystem, targeting ClawHub, OpenClaw's public skills registry. Koi Security's February audit found 341 malicious skills out of 2,857; a follow-up analysis by Antiy CERT identified 1,184 compromised packages historically across the platform. Kurtz noted ClawHub now hosts 13,000 skills in its registry. The infected skills contained backdoors, reverse shells, and credential harvesters; Kurtz said in his keynote that some erased their own memory after installation and could remain latent before activating. "The frontier AI creators will not secure itself," Kurtz said. "The frontier labs are following the same playbook. They're building it. They're not securing it."

Two agentic SOC architectures, one shared blind spot

Approach A: AI agents inside the SIEM. Cisco and Splunk announced six specialized AI agents for Splunk Enterprise Security: Detection Builder, Triage, Guided Response, Standard Operating Procedures (SOP), Malware Threat Reversing, and Automation Builder. Malware Threat Reversing is currently available in Splunk Attack Analyzer and Detection Studio is generally available as a unified workspace; the remaining five agents are in alpha or prerelease through June 2026. Exposure Analytics and Federated Search follow the same timeline. Upstream of the SOC, Cisco's DefenseClaw framework scans OpenClaw skills and MCP servers before deployment, while new Duo IAM capabilities extend zero trust to agents with verified identities and time-bound permissions.

“The biggest impediment to scaled adoption in enterprises for business-critical tasks is establishing a sufficient amount of trust,” Patel told VentureBeat. “Delegating and trusted delegating, the difference between those two, one leads to bankruptcy. The other leads to market dominance.”

Approach B: Upstream pipeline detection. CrowdStrike pushed analytics into the data ingestion pipeline itself, integrating its Onum acquisition natively into Falcon’s ingestion system for real-time analytics, detection, and enrichment before events reach the analyst’s queue. Falcon Next-Gen SIEM now ingests Microsoft Defender for Endpoint telemetry natively, so Defender shops do not need additional sensors. CrowdStrike also introduced federated search across third-party data stores and a Query Translation Agent that converts legacy Splunk queries to accelerate SIEM migration.

Falcon Data Security for the Agentic Enterprise applies cross-domain data loss prevention to data agents' access at runtime. CrowdStrike’s adversary-informed cloud risk prioritization connects agent activity in cloud workloads to the same detection pipeline. Agentic MDR through Falcon Complete adds machine-speed managed detection for teams that cannot build the capability internally.

“The agentic SOC is all about, how do we keep up?” Zaitsev said. “There’s almost no conceivable way they can do it if they don’t have their own agentic assistance.”

CrowdStrike opened its platform to external AI providers through Charlotte AI AgentWorks, announced at RSAC 2026, letting customers build custom security agents on Falcon using frontier AI models. Launch partners include Accenture, Anthropic, AWS, Deloitte, Kroll, NVIDIA, OpenAI, Salesforce, and Telefónica Tech. IBM validated buyer demand through a collaboration integrating Charlotte AI with its Autonomous Threat Operations Machine for coordinated, machine-speed investigation and containment.

The ecosystem contenders. Palo Alto Networks, in an exclusive pre-RSAC briefing with VentureBeat, outlined Prisma AIRS 3.0, extending its AI security platform to agents with artifact scanning, agent red teaming, and a runtime that catches memory poisoning and excessive permissions. The company introduced an agentic identity provider for agent discovery and credential validation. Once Palo Alto Networks closes its proposed acquisition of Koi, the company adds agentic endpoint security. Cortex delivers agentic security orchestration across its customer base.

Intel announced that CrowdStrike’s Falcon platform is being optimized for Intel-powered AI PCs, leveraging neural processing units and silicon-level telemetry to detect agent behavior on the device. Kurtz framed AIDR, AI Detection and Response, as the next category beyond EDR, tracking agent-speed activity across endpoints, SaaS, cloud, and AI pipelines. He said that “humans are going to have 90 agents that work for them on average” as adoption scales but did not specify a timeline.

The gap no vendor closed

Neither Cisco, CrowdStrike, nor Palo Alto Networks has yet solved the fundamental challenge of baselining normal agent behavior. While they offer tools for detection and identity, the industry still lacks an out-of-the-box behavioral baseline for AI agents. Furthermore, the tension between human-in-the-loop governance and machine-speed response remains unresolved in all current architectures.