Anthropic's Claude Code Security sends cybersecurity stocks tumbling as AI reshapes the industry

Reviewed byNidhi Govil

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Anthropic launched Claude Code Security, an AI security tool that scans codebases for vulnerabilities and suggests software patches. The announcement triggered sharp drops in cybersecurity stocks, with CrowdStrike falling 7.56% and Cloudflare declining 8.09%. The tool uses AI to identify software vulnerabilities that traditional static analysis methods miss, intensifying investor anxiety about AI's impact on the cybersecurity industry.

Anthropic Unveils Claude Code Security, Triggering Market Turmoil

Anthropic launched Claude Code Security on Friday, marking the company's first dedicated AI security tool and sending shockwaves through the cybersecurity industry

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. The announcement triggered a significant drop in stock prices across cybersecurity software companies, with CrowdStrike falling 7.56%, Cloudflare declining 8.09%, Zscaler dropping 3.1%, and Okta shedding 5.7%

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. The Global X Cybersecurity ETF fell as much as 3.8%, extending its year-to-date losses to 14%, while the iShares Expanded Tech-Software Sector ETF has plummeted more than 23% this year

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Source: Fortune

Source: Fortune

The new tool scans codebases for vulnerabilities and suggests targeted software patches for human review, allowing teams to identify software security flaws that traditional methods often overlook

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. Available initially as a limited research preview for Enterprise and Team customers, Anthropic is also providing expedited access to maintainers of open-source repositories—developers who are often under-resourced but responsible for keeping widely used public software secure

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How Claude Code Security Identifies Software Vulnerabilities Differently

Unlike conventional static analysis tools that rely on rule-based databases of known vulnerabilities, Claude Code Security reads and reasons about code the way a human security researcher would

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. The AI-powered vulnerability scanning system maps out how application components interact with one another and traces how data moves through them to identify potential weak points

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. This approach enables the tool to uncover more complex vulnerabilities, including flaws in business logic or broken access control, that rule-based systems typically miss

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Source: CRN

Source: CRN

The system double-checks its own findings, assigns severity ratings to help with prioritization, and suggests fixes through a "suggest fix" button

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. Every finding undergoes a multistage verification process before reaching an analyst

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. Critically, while the system can investigate code autonomously, it does not apply fixes automatically—developers must review and approve every change

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Frontier Red Team Research Powers the New Application Security Tool

Claude Code Security builds on over a year of research by Anthropic's Frontier Red Team, an internal group of approximately 15 researchers tasked with stress-testing the company's most advanced AI systems and probing potential misuse in areas like cybersecurity

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. The team's recent research found that Anthropic's Opus 4.6 model has significantly improved at finding new, high-severity vulnerabilities across vast amounts of code without requiring task-specific tooling, custom scaffolding, or specialized prompting

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Source: SiliconANGLE

Source: SiliconANGLE

In testing open-source software that runs across enterprise systems and critical infrastructure, Opus 4.6 discovered some vulnerabilities that had gone undetected for decades

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. Frontier Red Team leader Logan Graham explained that the model's agentic capabilities allow it to investigate security flaws step by step, test how different components behave, and follow leads much like a junior security researcher would—only much faster. "It's going to be a force multiplier for security teams. It's going to allow them to do more," Graham told Fortune

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AI Impact on Cybersecurity Intensifies Investor Anxiety

The selloff marks the second time Anthropic has triggered turbulence in the enterprise software ecosystem since the start of the month, following the company's launch of Claude Cowork plugins

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. Investor anxiety has been building for weeks as AI-native companies like Anthropic, OpenAI, and Alphabet release new tools that threaten to diminish demand for legacy products from established cybersecurity software companies

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This trend extends beyond application security. The ability for Large Language Models (LLMs) to "vibe code"—using AI to write software code—has investors worried that users will create their own applications, potentially weighing on growth, margins, and pricing power for traditional software vendors

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. The iShares Expanded Tech-Software Sector ETF is on track for its biggest quarterly percentage drop since the financial crisis in 2008

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However, not all industry leaders share this pessimistic outlook. Earlier this week, Palo Alto Networks CEO Nikesh Arora stated that investor fears about AI posing more risk than opportunity for cybersecurity vendors are unfounded. "I'm still confused why the market is treating AI as a threat" to the cybersecurity industry, Arora said during the company's quarterly call, noting that LLMs aren't accurate enough to fully replace key segments such as security operations

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The Dual-Use Challenge and Competitive Landscape

Anthropic acknowledges that the same capabilities helping defenders find and fix vulnerabilities could help attackers exploit them

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. Graham emphasized that threat actors "will use AI to find exploitable weaknesses faster than ever," making it critical to ensure improvements favor defenders. "It's really important to make sure that what is a dual-use capability gives defenders a leg up," he said, adding that Anthropic is investing in safeguards to detect malicious use

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Claude Code Security enters a competitive landscape that includes OpenAI's Aardvark, a cybersecurity automation tool launched about four months earlier

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. According to OpenAI, Aardvark offers many similar capabilities and tests vulnerabilities in an isolated sandbox to estimate exploitation difficulty

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. Looking ahead, both AI providers could expand their offerings by integrating with CI/CD pipelines to automatically block updates containing vulnerable code—a capability many established cybersecurity companies already offer

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