As Anthropic's AI model Claude gains the ability to autonomously detect security vulnerabilities and even execute attacks, the landscape of digital security is fundamentally shifting.
Imagine you live in a sturdy fortress built a very long time ago. No one thought there were holes in this fortress, and you’ve lived there for over 20 years without any problems. But one day, a very smart detective (AI) appears, finds a tiny crack in the wall, and even demonstrates how to break into the fortress through that crack.
What’s happening in the digital world recently is exactly like this. The AI model ‘Claude’ is finding hidden software vulnerabilities that human experts haven’t discovered for decades and is even proving how they can be exploited.
Why is this important?
The smartphones, computers, and internet banking we use every day are all composed of complex software. Having a ‘security hole’ in this software is like having a master key to your front door that anyone can open.
Until now, finding these holes required human experts to analyze code overnight. But now, AI performs this task at tremendous speed. This has two meanings. First, the ‘opportunity for defense’ has greatly increased, allowing security firms to find and fix holes before malicious hackers do. Second, it is a warning that people with malicious intent could use AI to prepare attacks more precisely and quickly.
Easy to Understand: Solving Puzzles and Insight
Shall we compare the process of finding software vulnerabilities to ‘solving a giant puzzle’? The entire software code is like a puzzle made of millions of pieces. Most people flip the puzzle pieces one by one to find the problem. However, Claude, based on the ‘Transformer’ structure (an AI structure that identifies relationships between words in a sentence and understands the overall context), views the entire shape of the puzzle at a glance. And it ‘reasons’, “If these pieces are connected this way, logically, isn’t it inevitable that a gap will appear somewhere here?”
Simply put, while humans see only the trees, AI sees the entire forest and finds the path. In particular, high-performance AIs like Anthropic’s ‘Claude Mythos’ model or ‘Claude Opus’ not only find holes but also design attack methods, saying, “If I pass through this hole, I can break in through this route.” It’s as if a veteran hacker decides where to attack, judging for themselves what is accessible and controllable Source: TrendAI™ and Anthropic Advance AI-PoweredVulnerabilityDetection….
Current Situation: AI’s Security Hunting
AI’s security detection capability has reached an astonishing level. Anthropic has partnered with technology companies to create a coalition called ‘Project Glasswing’, where the Claude Mythos model is deployed to hunt for vulnerabilities Source: Anthropic Reveals Project Glasswing: Mythos Found Thousands of….
In fact, Claude has recently left behind amazing records:
- Overwhelming Skill: In the ‘SWE-bench Pro’ benchmark, which evaluates actual software task performance, Claude Mythos scored 77.8%, significantly outperforming the previous model, Opus 4.6 (53.4%) Source: Anthropic Reveals Project Glasswing: Mythos Found Thousands of….
- Discovery of Ancient Defects: It doesn’t just look at new programs. It brought to light a 27-year-old TCP SACK implementation vulnerability in OpenBSD, a 16-year-old defect in FFmpeg, and a 17-year-old remote code execution vulnerability in an NFS server Source: Artificial Intelligence Discovers Zero-Day Vulnerabilities in Major….
Looking at the data, the changes in the security environment are even clearer. From January 2026 to July 27, the number of software defects recorded in the US National Vulnerability Database reached a whopping 45,207 Source: AI is finding twice as manysoftwareflaws. Almost none getexploited.. AI is finding that many holes.
What will happen in the future?
In the future, the ‘AI vs. AI’ security war will intensify. Systems will be built where if an AI automatically finds a hole, another AI immediately patches it in real-time. It’s similar to creating a stronger new shield immediately whenever the old shield is pierced.
Fortunately, the rate at which vulnerabilities discovered by AI lead to actual attacks remains very low so far Source: AI is finding twice as manysoftwareflaws. Almost none getexploited.. We must raise our security awareness in line with the pace of technological development. In particular, companies will need to establish ‘risk-based security strategies’ that utilize AI to test and supplement how their systems appear to attackers in advance Source: exploiting-vulnerabilities-with-metasploit-framework.
AI’s Take: MindTickleBytes’ View
Whether AI becomes the guardian of security or the most dangerous hacker ultimately depends on the philosophy we have to control the technology. Technology is just a tool; ‘where’ we use it is still up to humans. Since both defenders and attackers now possess AI as a powerful tool, we must now establish a new security philosophy that goes beyond technical responses.
References
- ClaudeMythos Preview’s cybersecurity capabilities \ Anthropic
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[Anthropic’s Mythos AIExploitsVulnerabilitiesinFirefox… LinkedIn](https://www.linkedin.com/posts/atrani-capital_anthropic-ai-cybersecurity-activity-7460260096443498496-VSWK) - TrendAI™ and Anthropic Advance AI-PoweredVulnerabilityDetection…
- Anthropic Reveals Project Glasswing: Mythos Found Thousands of…
- AI is finding twice as manysoftwareflaws. Almost none getexploited.
- Artificial IntelligenceDiscoversZero-DayVulnerabilitiesinMajor…
- exploiting-vulnerabilities-with-metasploit-framework
- Project Guardian
- Project Glasswing
- Project CyberShield
- SWE-bench Pro
- ImageNet
- HumanEval
- 10 years
- 17 years
- 27 years