Researchers uncover “DarkSword,” a powerful iPhone exploit targeting millions via compromised websites. Learn how it works ...
BURLINGTON, Mass.--(BUSINESS WIRE)--Veracode, a global leader in application risk management, today unveiled its 2025 GenAI Code Security Report, revealing critical security flaws in AI-generated code ...
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AI-written code now behind 20% of security breaches
Recent analysis indicates a growing concern in cybersecurity: one in five security breaches is now attributed to AI-written code. This marks a significant shift in the landscape of digital threats.
Concerns about code vulnerabilities are fading in the crypto space, but more sophisticated scam tactics are emerging as protocol security improves. Crypto hackers stole $3.3 billion in 2025, but the ...
Crypto hackers took social engineering to a whole other level this year, and advances in artificial intelligence mean scams are about to get even harder to detect. The majority of crypto exploits in ...
Code quality testing startup SonarSource SA today announced the upcoming release of SonarQube Advanced Security, a new offering that will extend the company’s analysis capabilities beyond first-party ...
Some of the world’s most popular large language models (LLMs) are producing insecure code by default, according to a new analysis by Backslash Security. The findings demonstrate the security risks ...
The AI platform said Friday it’s adding vulnerability scanning capabilities into its web-based Claude Code tool in a move to compete with application security vendors. Anthropic announced Friday it is ...
The code generated by large language models (LLMs) has improved some over time — with more modern LLMs producing code that has a greater chance of compiling — but at the same time, it's stagnating in ...
Anthropic pointed its most advanced AI model, Claude Opus 4.6, at production open-source codebases and found a plethora of security holes: more than 500 high-severity vulnerabilities that had survived ...
Q1: How does Claude Code Security function—and how does it differ from traditional static application security testing (SAST)? A1: Conventional rule-based static analysis uses pattern matching, ...
A tool can be used well or poorly, but much of the time it is neither inherently good nor bad. Take vibe coding, the act of using natural language to instruct an LLM to generate code. Applied poorly, ...
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