The IT Nerd

Reuters is reporting that The European Commission has had several productive meetings with​ Anthropic on potential access ‌for EU bodies to Anthropic’s Mythos. 

The European Commission is in ‌contact with Anthropic ‌regarding Mythos and is assessing its ​possible implications, European Economic Commissioner Valdis Dombrovskis told reporters on Monday.

“The commission representatives ‌met with ⁠Anthropic and was briefed on technical details around ⁠cyber capabilities and the risk of this Mythos ​preview, so ​we ​are currently assessing ‌possible implications in light of the EU policies and legislation,” Dombrovskis said.

Uzair Gadit, CEO, Secure.com:

Giving a regulator like ENISA hands-on access to a frontier model is a smart move, particularly given that Anthropic has filed to go public. Defenders learn fastest when they can test these systems directly, not read about them secondhand. This is a well considered move, aligning with Anthropic’s filing to go public.

The real question isn’t whether AI belongs in cybersecurity. It’s where it helps and where it quietly creates new risk. A model can triage and investigate at a speed no human team matches, but judgment calls still need a person in the loop. 

Europe putting its own experts that close to the technology is how you build informed policy instead of guessing at it.

The threat landscape didn’t evolve — it massively accelerated. What used to require a skilled hacker and days of preparation now takes an AI tool and mere minutes.

Joshua Marpet, Senior product security consultant, Finite State:

Mythos, while reportedly equaled in capability by ChatGPT 5.5, among other frontier models, is still an incredibly powerful AI framework. The usage of Mythos by ENISA is fascinating. Will they use it to find vulnerabilities in EU RED and EU CRA Certified products? Or products coming up for certification? Are they going to try to use it to determine what exploits should be rated at what level? I have to assume that there are multiple questions that Mythos can and will answer for ENISA.

 Importantly, will this change the initial certification or certification maintenance process? That’s a question to be answered in the fullness of time.

Steven Swift, Managing Director, Suzu Labs:

Anthropic continues to keep Mythos behind closed doors, primarily as a marketing stunt. New frontier models have an established pattern of incremental improvements despite exaggerated marketing claims. We should expect Mythos to perform similarly once released more widely. Anthropic has stated that they will be making a public release of Mythos in the not too distant future, though the public release is expected to contain additional safety guardrails which are not present on their internal builds.

This is especially interesting for Mythos, which has been reported to have a heavy emphasis on its capabilities around vulnerability management and information security. As these functions are both critical for defenders, in order to build more secure, robust systems. But they’re also the same functions that allow bad actors to leverage those same functions for malicious intent.

Anthropic is trying to walk a very tight line. If safety tuning is too restrictive, the model won’t be useful for defenders. If its too permissive, it’ll be too easy for bad actors to leverage.

Granting access to the EU ahead of a more general release gets some additional eyes on the model, and provides Anthropic a larger userbase from which to solicit feedback from. Its not clear to what extent the EU release will contain safety guardrails, or if they’re being granted access to the unrestricted model.

John Carberry, Solution Sleuth, Xcape Inc.

Expanding early access to Anthropic’s Claude Mythos Preview introduces an asymmetric shift in global risk management, forcing organizations to navigate an automated security arms race where defense must match the velocity of AI-driven exploitation. Because sophisticated adversaries are already utilizing advanced models to automate zero-day discoveries and craft complex exploit chains, restricting access to defensive entities guarantees systemic failure.

Project Glasswing’s integration of the European Union Agency for Cybersecurity, or ENISA, represents a critical geopolitical rebalancing, allowing international defenders to scan critical infrastructure before adversarial actors weaponize those same flaws. For security leaders, this transition means traditional, human-centric patching timelines are officially obsolete, shifting the enterprise bottleneck from vulnerability discovery to human remediation capacity. Organizations must proactively integrate automated code review, implement machine-speed patching workflows, and embed agentic AI safeguards directly into their development pipelines to survive an attack surface that now scales at the speed of computation. If you thought keeping up with patch Tuesday was difficult, wait until you are triaging ten thousand zero-days discovered by an AI before lunch.

Critical Takeaways

• The defensive arms race is active: Granting ENISA access to Claude Mythos Preview acknowledges that sophisticated adversaries are already deploying autonomous toolkits, making defensive AI adoption an operational necessity.
• Remediation is the primary bottleneck: With autonomous models surfacing thousands of zero-day vulnerabilities in weeks, the enterprise challenge pivots entirely from flaw discovery to human patching capacity.
• Traditional vulnerability management is obsolete: Security leaders must transition toward automated triage and machine-speed mitigation to counter threats that scale at computational velocity.

Personally, the EU has to do less talking and more listening in order to get resolution rather than create more problems. But I suspect that the EU has to learn the hard way on this front.