🤖AI is rewriting the rules of cybersecurity 🤖
As a driving force behind innovation across nearly every industry, AI tools have revolutionised the software development landscape. In cybersecurity, AI brings speed, efficiency, and automation. But every revolution comes with unexpected risks and consequences.
🚨Security vulnerabilities
A recent study revealed that at least 48% of AI-generated code suggestions contained vulnerabilities. This lack of security originates from the fact that Large Language Models (LLMs) have been trained on public code repositories, which often contain vulnerable code. As a result, vulnerable code is reproduced across multiple prompts.
🌀Hallucinated dependencies
One risk in AI-assisted coding is hallucinated dependencies. A recent study found that 20% of packages suggested by AI tools do not exist. This opens the door to a new form of cyberattack called slopsquatting, where hackers create malicious packages using the fake package names commonly generated by AI models.
👨‍💻Loss of developer control
As developers increasingly rely on AI coding assistance, there’s an increasing risk of losing hands-on understanding of the codebase. This loss of competence and control might make it harder to debug, optimize, or scale the code.
Do you want to use AI as a tool to speed up development without sacrificing security? bifrost monitors your containers in real-time, detects unexpected behaviour, and actively blocks vulnerabilities before they become a threat. Integrate the bifrost agent once, and every new release gets the same seamless, automated protection, no code changes needed.
What does your company do to prevent the risks of AI-generated code?