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Anthropic Launches Claude Code Security Tool, Threatening Legacy Cybersecurity Firms

Anthropic’s launch of Claude Code Security threatens India’s legacy cybersecurity firms like TCS and Infosys by enabling AI-driven vulnerability detection and remediation.

Last Updated: February 23, 2026, 08:45 IST

Shares of IT and cybersecurity firms in India are poised for a turbulent day after Anthropic unveiled its new AI-powered tool, *Claude Code Security*, which is set to challenge established players in the cybersecurity sector, such as *Infosys*, *Tata Consultancy Services (TCS)*, *HCL Tech*, *Wipro*, *Quick Heal*, and *Tac Security*. The tool, integrated into the *Claude Code* platform, scans codebases for security vulnerabilities and provides targeted software patch suggestions for human review. This capability could significantly disrupt the traditional approaches employed by existing cybersecurity firms.

The launch of *Claude Code Security* marks a pivotal shift in the cybersecurity landscape, as it empowers teams to identify and remediate security issues that conventional methods often overlook. The feature’s advanced algorithms are designed to enhance the efficiency with which security flaws are detected and addressed. As a result, many companies may consider reducing their reliance on legacy scanning tools and cut expenditures on traditional cybersecurity solutions.

In a statement, Anthropic emphasized the urgency of this moment for cybersecurity, predicting that “a significant share of the world’s code will be scanned by AI in the near future, given how effective models have become at finding long-hidden bugs and security issues.” This assertion highlights the increasing effectiveness of AI technologies in addressing cybersecurity challenges, even as it raises alarms among established firms concerned about potential revenue losses.

The threat posed by AI-driven tools is twofold. Not only will attackers likely harness AI to exploit vulnerabilities more rapidly, but defenders who act swiftly can also leverage similar technologies to identify and patch weaknesses before they can be exploited. This dual-use aspect of AI in cybersecurity underscores the urgent need for firms to adapt to this changing landscape.

The *Claude Code Security* tool further distinguishes itself by assigning severity ratings to identified vulnerabilities, enabling teams to prioritize the most critical fixes efficiently. Validated findings are presented in a user-friendly dashboard, where teams can review, inspect suggested patches, and approve fixes, streamlining the process of securing code against potential threats.

The implications for legacy cybersecurity firms are significant, as they may face heightened pressure to innovate and demonstrate the effectiveness of their solutions in a rapidly evolving market. As organizations increasingly turn to AI-enhanced security solutions, traditional firms may need to rethink their strategies and invest in new technologies to remain competitive.

In the wake of this announcement, market watchers will closely monitor the performance of companies heavily invested in legacy cybersecurity solutions. The introduction of *Claude Code Security* not only signals a shift in the technological landscape but also raises questions about the future of traditional cybersecurity services in the face of disruptive innovation.

As the cybersecurity landscape evolves, it remains to be seen how established firms will respond to the challenges posed by AI-driven tools. Their ability to adapt and innovate will be critical in maintaining their market positions and addressing the growing demand for more effective security measures.

Disclaimer: The views and investment tips by experts in this report are their own and not those of the website or its management. Users are advised to consult certified experts before making any investment decisions.

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Rachel Torres
Written By

At AIPressa, my work focuses on exploring the paradox of AI in cybersecurity: it's both our best defense and our greatest threat. I've closely followed how AI systems detect vulnerabilities in milliseconds while attackers simultaneously use them to create increasingly sophisticated malware. My approach: explaining technical complexities in an accessible way without losing the urgency of the topic. When I'm not researching the latest AI-driven threats, I'm probably testing security tools or reading about the next attack vector keeping CISOs awake at night.

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