{"id":189853,"date":"2026-02-23T06:48:00","date_gmt":"2026-02-23T11:48:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/02\/23\/anthropics-claude-code-security-release-is-not-bad-news-for-cyber-companies\/"},"modified":"2026-02-23T08:30:15","modified_gmt":"2026-02-23T13:30:15","slug":"anthropics-claude-code-security-release-is-not-bad-news-for-cyber-companies","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/02\/23\/anthropics-claude-code-security-release-is-not-bad-news-for-cyber-companies\/","title":{"rendered":"Anthropic\u2019s Claude Code Security Release Is Not Bad News for Cyber Companies"},"content":{"rendered":"

Anthropic\u2019s Claude Code Security Release Is Not Bad News for Cyber Companies<\/a><\/p>\n

https:\/\/global.morningstar.com\/en-ca\/stocks\/anthropics-claude-code-security-release-is-not-bad-news-cyber-companies<\/a><\/p>\n

Publish Date: 2026-02-23 06:48:00<\/a><\/p>\n

Source Domain: global.morningstar.com<\/a><\/p>\n

Author: <\/a><\/p>\n

Using an unordered list, summarize the following article with between 4 and 8 key points. On Feb. 20, Anthropic released a vulnerability-scanning tool aimed at security applications, leading to an average drawdown of over 5% across our cybersecurity coverage as investors worry that Anthropic and other artificial intelligence labs could replace cybersecurity functions within companies.Why it matters: Despite the tangible market impact of the product release, we don\u2019t see Anthropic\u2019s vulnerability scanning tool as a threat to our cybersecurity coverage due to the following reasons.One, there is a clear adversarial dynamic, as demonstrated by Anthropic\u2019s own post. Anthropic claims to have found more than 500 vulnerabilities in open-source codebases currently in production or in use.If Anthropic\u2019s Opus could find these vulnerabilities, a misaligned model with the aim of automating cyber attacks could also find them. This dynamic means that as large language models become more proficient at detecting threats, it benefits both attackers and defenders.Big picture: Since Anthropic\u2019s Claude sees so much code on its platform and has been trained on gigantic code bases, it has a good sense of which code is secure and which is not, a key factor in identifying vulnerabilities.As we move toward real-time cybersecurity applications, the dynamic will look very different.While LLMs can be trained on security methods and techniques, they simply don\u2019t have access to petabytes of real-time data gathered by large security vendors on a daily basis, and this data matters for training models for security applications.Long view: We see automated code scanning as evidence that we will move swiftly to a world where cyber vendors, leveraging powerful models such as Claude alongside proprietary real-time telemetry data, will capture a lion\u2019s share of net new security spending catalyzed by AI adoption.
\n\t\t\t\t\t\tEditor’s Note: This analysis was originally published as a stock note by Morningstar Equity Research.
\n\t\t\t\t\t The author or authors do not own shares in any securities mentioned in this article. Find out about
\n\t\t\t\t\t\t\t\t\tMorningstar’s editorial policies.<\/p>\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

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