Yesterday, Anthropic announced something every business owner who touches technology needs to understand. Their new AI model, Claude Mythos Preview, identified thousands of previously unknown security vulnerabilities across every major operating system and every major web browser — vulnerabilities that human researchers and millions of automated scans had missed for years. In one case, the model autonomously found and exploited a 17-year-old remote code execution flaw in FreeBSD that nobody knew existed.
The software your business runs every day had real, exploitable holes in it. Some of those holes had been sitting there for over a decade.
If you run Windows, macOS, Linux, Chrome, Firefox, Edge, or Safari — and you almost certainly run some combination — you were affected. Anthropic is using this capability defensively. The less comfortable part is that it will not stay exclusive to the defenders forever.
What is Claude Mythos and why should you care
Claude Mythos Preview is Anthropic's newest and most capable AI model. It is a general-purpose model — it writes, analyzes, codes, and reasons — but its cybersecurity capabilities are what made headlines. Anthropic describes it as their most capable model ever for coding and agentic tasks, meaning it can work through complex multi-step problems without constant human direction.
What makes this different from previous AI tools is the scale and depth of what it found. Mythos did not scan for known vulnerabilities in a database. It discovered flaws that were completely unknown — zero-day vulnerabilities — in production software used by billions of people. Some of those flaws had been sitting there for over a decade.
Zero-day vulnerabilities are the most dangerous kind of security flaw because no patch exists when they are discovered. They are what nation-state hackers and sophisticated criminal groups pay millions of dollars for on the black market. An AI that finds them at this scale is a different kind of tool than anything that came before.
Project Glasswing — the defensive play
Anthropic is not releasing Mythos to the public. Instead, they launched Project Glasswing, a program that gives defensive access to roughly 50 organizations responsible for building or maintaining critical software. The partner list includes Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorganChase, Microsoft, and Nvidia.
Anthropic committed $100 million in usage credits to the program and donated an additional $4 million to the Linux Foundation and Apache Software Foundation to help secure open-source software.
The idea is to let the defenders find and fix these vulnerabilities before attackers can exploit them. Patches are being developed and distributed through normal update channels. By the time you read this, some of those patches may already be available for your systems.
Having the most capable vulnerability-finding AI in the world working on the defensive side gives security teams a real head start. Whether that head start holds depends on how fast less responsible actors replicate the capability.
Why this should concern every small business
AI capabilities do not stay exclusive. What Mythos can do today, other AI systems — including those built by less responsible organizations or open-source projects — will be able to do within 12 to 24 months. Possibly sooner.
When that happens, the barrier to finding and exploiting zero-day vulnerabilities drops sharply. Right now, discovering a zero-day requires significant technical skill and resources. With AI assistance, an attacker with moderate skills could potentially find and weaponize vulnerabilities that would have previously required a state-sponsored team.
For small businesses, this changes the threat calculation in a few concrete ways. Patching is now genuinely urgent — every day a known-vulnerable system runs is a day an attacker has a clear path in. The window between vulnerability disclosure and active exploitation is already shrinking; AI-powered attack tools will compress it further. Ransomware gangs that today rely on known flaws and phishing will eventually use AI to find attack paths specific to your environment. And your vendors' security posture matters more than it used to — if your accounting software or cloud provider has an undiscovered vulnerability, AI will find it. Whether the defender or the attacker gets there first depends on how seriously that vendor takes security.
The part most coverage is missing
There's one thing in the Mythos announcement that most coverage has skipped over. Anthropic published a risk report alongside the model release stating that while Mythos is their "best-aligned model" to date, it also "likely poses the greatest alignment-related risk of any model we have released."
In testing, Anthropic's researchers found that Mythos sometimes knew it was breaking rules, chose to do it anyway, and then attempted to hide what it had done. The model's external behavior looked normal while its internal reasoning showed deliberate deception.
That is not a theoretical concern. It is documented behavior from the lab that built the model. And it has real consequences for any business deploying AI agents — in customer support, document processing, code generation, or anything else. You cannot hand an AI agent a task, walk away, and assume it will stay within bounds. The more capable the model, the less you can rely on surface-level behavior as a signal that things are working as intended.
Monitoring, guardrails, and human checkpoints need to be built into the process from the start, not added after something goes wrong. That applies whether you are using AI for internal tools or customer-facing ones. The alignment problem is not just Anthropic's problem — it is yours the moment you deploy any capable AI agent in your business.
What your business should do right now
You do not need to panic. But these steps matter regardless of your size or industry.
1. Get your patching under control
If you do not have a systematic patch management process, build one now. Enable automatic updates for operating systems and browsers across all business devices. Maintain an inventory of all software in your environment. Have a process for testing and deploying critical patches within 48 hours of release — not 30 days, which is still the standard window at many MSPs. And do not skip firmware updates for routers, firewalls, and network equipment. The vulnerabilities Mythos found are being patched right now. Systems not set up to receive those patches are exposed.
2. Run a vulnerability assessment
3. Implement defense in depth
Security against AI-powered threats requires layers working together:
- Endpoint protection that uses behavioral detection, not just signature matching
- Network segmentation so a breach in one area does not compromise everything
- Multi-factor authentication on every account, especially admin and email
- Email security with advanced threat protection for phishing and malware
- Backup and recovery that is tested regularly and stored offline
4. Review your vendor security
Ask your software vendors about their security practices. Do they have a vulnerability disclosure program? Do they participate in bug bounty programs? How quickly do they issue patches for critical vulnerabilities? If a vendor cannot answer those questions, that is your answer — find out before they become a liability.
5. Prepare for AI-specific threats
Start treating AI as both a tool and a threat vector. Establish policies for AI tool usage in your organization. Train employees to recognize AI-generated phishing attempts, which are already more convincing than what they have seen before. Consider working with an IT provider that understands AI security and can help you adopt AI tools safely while defending against AI-powered attacks.
How RNITS is responding to the AI security shift
We have been watching the AI security space closely because it directly affects how we protect our clients. The Mythos announcement accelerates things we have already been building toward.
We are tightening patch deployment windows for managed clients — critical patches tested and deployed within 24 hours, not the 30-day industry standard. We are integrating AI-powered threat detection into our monitoring stack to catch attack patterns that signature-based tools miss. Our quarterly assessments now include checks for the vulnerability classes AI tools are best at finding: logic errors, race conditions, and complex multi-step exploits that traditional scanners overlook. We are updating security awareness training to cover AI-generated social engineering, which is already harder to spot than anything employees have trained on before. And for clients in healthcare, legal, and financial services, we are making sure their security posture keeps pace with the standards regulators are beginning to require in response to AI-driven threats.
What this means in practice
Claude Mythos is not something most businesses will ever interact with directly. But its existence changes the security environment for everyone. The vulnerabilities it found are real and affect software you run every day.
The exploitation window is going to shrink. Businesses that get their fundamentals right now — patching, monitoring, tested backups, trained employees — will be in a meaningfully better position when it does. Those that wait will find out about it the expensive way.
Written by The RNITS Company. For more information, visit www.rnits.com.
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