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Dark Reading
Development teams that fail to create processes around AI-generated code face more technical and security debt, as vulnerabilities get replicated.
Dark Reading
Security debt ahoy: only about half of the code that the latest large language models (LLMs) create is cybersecure, and more and more of it is being created all the time.
Dark Reading
Autocompleted code is convenient and quick, but it may expose your organization to security and compliance risks.
Dark Reading
AI-generated code introduces 15 vulnerabilities on average per codebase, but the actual risk depends on framework pairing more than the model used.
Dark Reading
AI agents capable of discovering and exploiting obscure vulnerabilities are emerging alongside developers producing vast amounts of potentially flawed AI-generated code, forcing defenders to adapt accordingly.
Bleeping Computer
AI-generated code can introduce subtle security flaws when teams over-trust automated output. Intruder shows how an AI-written honeypot introduced hidden vulnerabilities that were exploited in attacks. [...]
Dark Reading
In 2025, these startups have reimagined browser security, pioneered application security for AI-generated code, and are building consensus on agentic vs. human costs.
The Register
Breaking down trends in exposure management with insightsfrom 3,000+ organizations and Intruder's security experts This year has shown just how quickly new exposures can emerge, with AI-generated code shipped before review, cloud sprawl racing ahead of controls, and shadow IT opening blind spots. Supply chain compromises have disrupted transport, manufacturing, and other critical services. On the attacker side, AI-assisted exploit development is making it faster than ever to turn those weaknesses into working attacks.… Partner Content
The Hacker News
React conquered XSS? Think again. That's the reality facing JavaScript developers in 2025, where attackers have quietly evolved their injection techniques to exploit everything from prototype pollution to AI-generated code, bypassing the very frameworks designed to keep applications secure. Full 47-page guide with framework-specific defenses (PDF, free). JavaScript conquered the web, but with
The Hacker News
DALL-E for coders? That’s the promise behind vibe coding, a term describing the use of natural language to create software. While this ushers in a new era of AI-generated code, it introduces "silent killer" vulnerabilities: exploitable flaws that evade traditional security tools despite perfect test performance. A detailed analysis of secure vibe coding practices is available here. TL;DR: Secure