Anthropic Claude Mythos: Why Safety Becomes Key in the Era of Advanced AI

Modern AI models cease to be single tools – they become the foundation of organizational operations. They are used for:

• software creation (e.g., Claude Code),
• automation of business processes by AI agents,
• data analysis and real-time decision making.

The same advanced capabilities that support innovation and efficiency in enterprises are increasingly being used by cybercriminals. Recent analyses indicate that the number of attacks using AI has increased by 89% year over year. Artificial intelligence is applied in automatic vulnerability detection, exploit creation, and scaling and automating attacks.

In practice, this means that organizations can no longer limit themselves to merely implementing AI. Equally important is its active protection – and in real time, where AI actually operates and has access to key enterprise resources.

In the AI ecosystem, a clearer division of responsibility is emerging between model creators and the organizations that implement them. Technology providers, such as Anthropic, focus on the security of the models themselves – this includes designing them according to specific principles, testing for undesirable behaviors (so-called red-teaming), and controlling capabilities before making them available to users.

However, equally important, and practically much more complex, is the area related to the use of AI in the enterprise environment. The responsibility for how models are used in practice, what permissions they have, what data they access, and what actions they perform lies with the organization and security solution providers. This includes information access control, monitoring of AI agents’ activities, and enforcing security policies across the IT environment.

It is this second area that poses the greatest challenge today. Even the most advanced and secure model can become a risk if it operates without appropriate oversight in a business environment, having access to sensitive data and critical business systems.

In response to the growing challenges associated with AI security, solutions that provide full visibility, control, and the ability to enforce security policies in real-time have gained particular importance. CrowdStrike delivers solutions that allow organizations to effectively control AI use in practice.

1. One of the key elements is full visibility of the IT environment, including analysis of large data volumes and activity monitoring at every endpoint level. This allows for identifying both authorized and unauthorized AI applications – including detecting hundreds or even thousands of applications operating within the organization’s environment.
2. Equally important is advanced Threat Intelligence analysis, based on observing the activities of hundreds of cybercriminal groups. This allows not only for identifying potential vulnerabilities but above all for understanding, which of them are actually used in real attacks and require immediate response.
3. Operationally, the approach to detecting and responding to AI-related threats (AI Detection and Response) is also of key importance. It involves identifying all AI agents operating in the organization – whether they are proprietary, external, or locally operated solutions – and providing an appropriate level of control over them. This is particularly important in the context of eliminating the “shadow AI” phenomenon, which is one of the biggest challenges for modern organizations.
4. With the growing use of AI to work on sensitive information, preventing unauthorized data flow becomes crucial. Solutions like Falcon Data Security enable real-time data flow control and enforcement of security policies across the entire organization.

The importance of AI security is further reinforced by regulations, especially the EU AI Act, whose additional requirements will come into force on August 2, 2026.

New regulations introduce obligations related to audits, cybersecurity, and incident reporting, and failure to comply may result in fines of up to 3% of global revenues.

In practice, this means managing AI becomes a legal obligation, not just a good practice.

AI is one of the most important technological transformations, but also one of the greatest challenges in the area of security.

The CrowdStrike Falcon Platform provides organizations with the necessary elements for the safe use of AI: full environmental visibility, control over agent operations, data protection, and support in meeting regulatory requirements. Most importantly, it allows securing AI precisely where it operates – at endpoints where data is processed and where risk materializes.

AI security is not an add-on – it is a condition for its effective implementation. If you want to learn how to effectively secure the use of AI in your organization and prepare for upcoming regulatory requirements, feel free to contact our team!