Recent developments in the field of artificial intelligence demonstrate how rapidly the technological landscape is changing. One of the striking examples is Claude Mythos by Anthropic – an experimental AI model created to explore the capabilities of autonomous agents, complex logical thinking, and new approaches to using advanced models.
The preliminary review of Claude Mythos shows a new reality: the more powerful AI models become, the greater attention is needed to their security.
This is important for every enterprise. Advanced AI models expand the possibilities for both attack and defense. As AI becomes part of corporate infrastructure, organizations need tools that allow them to control its use, protect data, and detect new threats.
This is where CrowdStrike’s role begins. The company is one of the founders of the Glasswing project, within which Anthropic develops the model, while CrowdStrike ensures the security of AI wherever it operates.
This division of roles reflects a new industry reality. Model developers are responsible for the security of the models themselves, whereas corporate security must ensure control over their use in enterprise infrastructure.
CrowdStrike has assessed the security implications of Claude Mythos and brings to the project capabilities that no other participant has. This includes visibility at the sensor level on every enterprise endpoint.
The CrowdStrike platform processes a trillion events daily, tracks over 280 adversary groups, and has already identified over 1800 AI applications in client environments.
These data make AI management real and practically implementable.
CrowdStrike’s assessment confirms: the capabilities of advanced AI systems are significantly enhanced when combined with threat intelligence, large-scale visibility in enterprise infrastructure, and rapid enforcement of security policies.
Advanced AI models are no longer just new products. They are gradually becoming part of enterprise infrastructure.
Claude Code is already changing the approach to software development, and AI agents are transforming how businesses automate processes. Claude Mythos by Anthropic showcases the next phase of this evolution, enhancing reasoning, planning, and task execution capabilities for AI agents.
Such systems are increasingly operating directly in corporate environments. They connect to databases, CRM systems, internal services, and business processes. It is there that data access is facilitated, decisions are made, business value is created, and simultaneously new security risks emerge.
New models open up not only new opportunities but also new challenges. The same advanced AI systems that expand the attack surface also provide defenders with tools that did not exist a few years ago: faster vulnerability detection, more accurate threat identification, and quicker response to incidents.
However, these capabilities are not used solely by defenders. Adversaries are also actively experimenting with AI. According to the Global Threat Report 2026 by CrowdStrike, the number of attacks using AI increased by 89% year-over-year. The use of AI to find vulnerabilities and create exploits is rapidly growing on both sides of the cyber conflict.
This is why AI security issues are becoming one of the key concerns for enterprises that are implementing new technologies.
With the development of advanced AI models, a new distribution of responsibility is emerging between model developers and corporate security teams.
Model developers are responsible for model safety, meaning the evaluation of a model’s capabilities, testing its behavior, and identifying potentially dangerous use cases. Anthropic, for example, develops advanced models in accordance with its Responsible Scaling Policy, evaluating their capabilities before release and conducting red teaming to identify risks.
However, this is only part of the task.
Even if a model is safe in terms of its architecture and behavior, the key risks arise when it begins operating within a real corporate environment. There, AI gains access to customer data, financial systems, internal services, and business processes.
When an AI agent connects to a CRM, queries databases, or triggers automated workflows, the question of security goes beyond the model itself. It becomes a matter of managing how AI is used within enterprise infrastructure.
This is where corporate security platforms come into play.
CrowdStrike secures AI where it actually operates, on endpoints and across enterprise infrastructure. The platform enables organizations to detect AI agents within the environment, monitor their actions and data access, protect information in AI-driven workflows, and provide runtime protection for agents interacting with enterprise systems.
This approach allows organizations to adopt new AI capabilities while maintaining control over the security of their data and infrastructure.
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An advanced model is the engine, data is the fuel, and the platform enables their practical use in AI systems.
CrowdStrike’s role in this coalition is based on capabilities that no other member has.
Threat Intelligence: more than 280 tracked adversary groups. Data from real-world attacks shows how advanced AI can be used as a weapon and how it can be defended against. This intelligence determines which vulnerabilities matter most, not only what exists, but what adversaries are actively targeting right now.
AI Detection and Response (AIDR): secures all agents at runtime, including proprietary, third-party, and local ones, while also discovering and managing AI applications and agents across the entire enterprise. Shadow AI, sanctioned AI, every tool running on every endpoint and beyond. Many of them are deployed without approval from security teams. You cannot govern what you cannot see.
CrowdStrike Falcon® Data Security: prevents sensitive enterprise data from leaving through AI workflows. It provides visibility and policy enforcement at the data layer. As organizations connect advanced models to proprietary code and sensitive data, the risk of unintended exposure increases. Falcon Data Security establishes and enforces these boundaries.
AgentWorks: enables enterprises to build agents for security and other use cases with built-in governance and guardrails. This infrastructure provides organizations with secure access to advanced models, ensuring that audit and control mechanisms are in place from day one.
Figure 1. CrowdStrike protects data, models, agents, and identities to accelerate AI-driven transformation.
These capabilities are built on the CrowdStrike Falcon® platform, which is already deployed across enterprises that power the global economy.
CrowdStrike did not create the cloud, but made it secure for enterprises. This approach shaped the company and helped protect organizations that moved their most critical workloads to AWS, Azure, Google Cloud, and OCI.
Artificial intelligence is the next similar stage, but much more scalable. And this time, security is considered from the very beginning.
Enterprises that adopt AI the fastest will be those that can effectively manage it. Those who cannot ensure proper management will be forced to move slower.
Combining advanced AI models with the Falcon platform makes CrowdStrike one of the most effective defenders in the cybersecurity industry. The platform already operates on devices where AI is executed, data is processed, and attacks occur.
Oleksii Markuts, Product Manager CrowdStrike: “We see enterprises increasingly implementing AI into their business processes. But the pace of innovation must be accompanied by the same level of security. The CrowdStrike Falcon platform allows organizations to implement AI without losing control over data and risks.
iIT Distribution implements CrowdStrike solutions, helping enterprises leverage the Falcon platform to secure endpoints, control data access, and detect modern threats in corporate infrastructure. CrowdStrike helps keep enterprises secure and prevents breaches, while iITD ensures the practical implementation of these technologies in a corporate environment.”
