How AI developers and leaders can secure our AI-driven future.
Copyright: intelligencebriefing.substack.com – “Racing Against Risks: Is Your Generative AI Security Keeping Pace?”
On September 28, Steve Wilson (Project Leader, OWASP Foundation) joined me on “What’s the BUZZ?” and shared how you can secure your Large Language Models (LLM) against common vulnerabilities. As we embrace the boundless possibilities that AI presents, a shadow of security concerns looms over the horizon. The excitement of new functionalities is intertwined with the necessity for robust security measures. The narratives unravel the unique security challenges introduced by AI, notably in the face of generative AI applications like chatbots and copilots. How can AI developers and leaders celebrate its potential while exercising due diligence in mitigating the associated security risks? Here is what we’ve talked about…
The Need For Balanced Approach To AI Innovation And Security
The emergence of any groundbreaking technology often comes with a rush towards exploring its new functionalities, sidelining the security aspects initially. This pattern was observed during the early days of the World Wide Web. Initially, the web was a platform for sharing research papers or engaging in discussions on message boards. However, with the introduction of e-commerce, the necessity to secure web applications became apparent. This led to the birth of OWASP (Open Web Application Security Project), with pioneers like Jeff Williams devising the original OWASP top 10 list for web applications. Fast forward two decades, and we are on the cusp of another technological wave, possibly the most significant since the web. Even though some security challenges resemble those of the early web, like injection attacks, the security landscape has evolved. For instance, AI technology introduces unique challenges such as prompt injection. Unlike traditional web applications where an SQL injection might reveal sensitive data, prompt injections in AI can mislead the system into unintended actions.[…]
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