Anthropic’s ‘Mythos’ AI can hack almost anything and we’re not ready

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Anthropic’s ‘Mythos’ AI can hack almost anything and we’re not ready

Artificial intelligence has evolved from a theoretical concept to a prevalent element of everyday life. And with the generative AI boom bringing significant improvements to our society, Anthropic’s most advanced model, Mythos, should be a clarion call to address the weaknesses in our cyber ecosystem.

Anthropic’s own cyber experts called the model “too powerful to release publicly” at this stage due to its sophisticated capabilities and ability to carry out advanced attacks. The model represents a leap in defensive AI capabilities, but it also carries inherent risks of exposing vulnerabilities in our critical infrastructure and systems. The model not only detects zero-day vulnerabilities, but it autonomously builds and chains exploits—and then covers its tracks—making it more difficult to defend against them. Experts are rightly asking: How does the myth affect markets, and should we fear its potential at the hands of America’s adversaries?

With the development of the Mythos and the ability to exploit vulnerabilities, US critical infrastructure is due to technical debt. We’ve known for a long time that America’s critical infrastructure is owned and operated by private sector companies of all sizes. Compounding the risk, some functions, such as water systems and electricity distribution, are run by under-resourced state and local agencies. While Fortune 500 enterprises are well equipped to update their infrastructure, the vast majority—small and medium enterprises (SMEs) and small agencies—are less empowered to make these upgrades. We must incentivize investment in these under-resourced corners of infrastructure so that new technologies built to counter AI-enabled exploitation can be effective.

Today, we urgently need investment, policy innovation, and public-private collaboration to strengthen AI rather than undermine our national security.

Mythos is said to have the ability to detect bugs in “virtually any and every operating system, browser, or other software product.” The model has raised concerns among financial institutions worldwide about how it might respond to the scale and rate of AI-driven exploitation. In fact, Mythos has already demonstrated an 83 percent success rate in creating exploits on the first try. Not only can Mythos detect vulnerabilities and build exploits for them autonomously – it’s able to chain those exploits together, making the challenge of defending against them even greater. This is not only a technological achievement, but a call to evolve our modern cybersecurity strategies as AI acts as both a tool and a threat multiplier.

For now, Mythos is operating under a limited release initiative to preview this version for industry partners like Microsoft, AWS, Google, and NVIDIA., which can identify flaws in the system before our adversaries are able to. Project Glasswing partner Palo Alto Networks calls the model a “game changer” for detecting hidden vulnerabilities. Anthropic has also briefed key US officials, including members of the Cybersecurity and Infrastructure Security Agency and the Center for AI Standards and Innovation, about the model’s advanced capabilities.

Anthropic’s Mythos preview is a wake-up call: the rapid evolution of AI demands that we invest in the weakest links in our infrastructure and innovate to protect critical systems. Policymakers, cyber and AI experts, and developers must address this technological debt through research and advocacy for public-private partnerships that direct investment dollars to under-resourced areas. By prioritizing incentives for AI-resilient technologies, the information technology sector can ensure that SMEs are not left behind in the race against AI-driven threats.

Mythos’ unexpected sandbox breakout—which bypassed its own security guardrails—has surprised many security researchers and sparked significant discussions. This event, detailed in the preview’s Systems Card, provides a prime opportunity for technologists, industry leaders, and policymakers to collaborate on solutions to begin building reliable security for these systems.

AI should strengthen, not erode, our collective defenses. By fostering partnerships between governments, sector leaders, and innovators, the United States can help deploy resilient technologies that not only combat exploitation chaining but also maintain long-term resilience.

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This story was originally featured on Fortune.com

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