On October 30, President Biden unveiled his highly anticipated executive order on artificial intelligence. AI has been one of the hottest topics across industries for the last year because of the far-reaching impacts of the technology – some ways that we have still yet to discover. Given the implications of AI on our society, the executive order is comprehensive and aims to ensure we’re maximizing the technology, while remaining safe and secure.
One of the most critical components mentioned in the executive order related to our safety and security is AI red-teaming. In cybersecurity circles, “red-teaming” is the process whereby a team of professionals seeks to find vulnerabilities in a particular system or group of systems. They’re hired to find flaws in networks and applications before threat actors do, so issues can be resolved before damage is done. This is particularly important with AI because numerous organizations have rushed to implement it into their systems, and they may have unintentionally exposed themselves to new attack paths. These systems require testing, especially if they’re being utilized by government organizations or in critical infrastructure.
The concept of red-teaming has been around for decades, first embraced by the military to test their defenses and uncover any weaknesses before adversaries did. In the world of AI and generative AI, red-teaming is cutting-edge. While there are some red-teaming techniques that will carry over from existing cybersecurity efforts, there are other types of testing that need to be implemented to comply with this executive order. The key to successful red-teaming is to simulate the kinds of attacks that you’ll see in real-world situations. Two prominent examples related to generative AI are prompt attacks and data poisoning.
Prompt attacks
Prompt attacks involve injecting malicious instructions into prompts that control a ..
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