Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As organizations scale ChatGPT Enterprise across departments, AI is becoming embedded in everyday business operations. Finance teams are building custom GPTs. Developers are leveraging Codex to act on codebases. Employees are invoking third-party tools within AI conversations to automate workflows. As adoption accelerates, security teams face a fundamental challenge: visibility around agents deployed and running in SaaS environments.

We're proud to announce that Frost & Sullivan has named CrowdStrike a Leader for the fourth consecutive time in the 2026 Radar for Cloud-Native Application Protection Platforms. This recognition validates our continued investment in combining posture management with real-time detection and response, and reinforces our leadership in stopping cloud attacks.

Many modern cloud security challenges come down to visibility. The complexity of modern environments, the deluge of alerts, and the lack of relevant context make it difficult for security teams to identify and prioritize threats — and easy for adversaries to slip through undetected.

Complexity has become a defining security challenge as organizations expand across hybrid and multi-cloud environments. In fact, 52% of surveyed organizations ranked multi/hybrid cloud complexity among their top three infrastructure concerns.1 This complexity creates fragmented visibility across cloud providers, workloads, and Kubernetes environments — gaps that adversaries increasingly exploit to move undetected.

A new IDC Business Value study illustrates the measurable value of cybersecurity platform consolidation: Organizations that standardized on the CrowdStrike Falcon platform achieved up to 441% return on investment over three years, with payback in just four months. IDC conducted in-depth interviews of CrowdStrike customers across industries to assess the Falcon platform’s business value.

Since the launch of CrowdStrike AI Security Services in 2025, our Professional Services team has yet to encounter an organization with an accurate inventory of the AI tools and services in use across its environment. One customer counted 150 agents in its inventory. We found over 500. Another had not approved agentic development at all; we discovered over 70 active agents.

The defensive timeline in cybersecurity is changing faster than most organizations are prepared for. For years, defenders operated with an assumption that there would be some delay between vulnerability disclosure and exploitation. That delay created a window for patching, mitigation, and detection. It wasn’t perfect, but it gave security teams time to act. Frontier AI is removing that buffer and changing how organizations must consider cyber risk.

CrowdStrike has been selected for OpenAI's Trusted Access for Cyber (TAC) program. Today, OpenAI released GPT-5.4-Cyber, a frontier model designed for defensive cybersecurity, and expanded the TAC program to give verified, selected defenders governed access through identity verification and tiered controls. CrowdStrike continues to lead the market in secure AI adoption, trusted by AI leaders and organizations of all sizes to accelerate the world's AI revolution.

When a new vulnerability is disclosed, security leaders want to know whether they’re exposed. In many organizations, the answer still depends on scan cycles that lag behind exposure — an architectural delay. Adversaries are moving faster: The average eCrime breakout time fell to 29 minutes in 2025, and the fastest was only 27 seconds, the CrowdStrike 2026 Global Threat Report found.

The Claude Mythos Preview matters for every enterprise. Frontier models raise the ceiling for both offense and defense. Our job is to make sure defenders hold the advantage. That is what we have always done. That is what we do today. Today, CrowdStrike is a founding member of Project Glasswing. Anthropic builds the model. CrowdStrike secures AI where it executes. That’s the division of labor the industry needs.