Navigating the Risks and Opportunities of AI Security
Artificial Intelligence is a hot term. Cynics will tell you it’s all bark and no bite, the over-zealous will tell you that it’s a panacea, and the (mildly) paranoid will tell you it’s a threat to society. The truth, as ever, is probably the middle ground. AI, in all its guises, is likely to provide solutions to a lot of problems but is ultimately flawed as all human-derived systems are.
AI is technology that enables computers and machines to simulate human learning, comprehension, problem-solving, decision-making, creativity, and autonomy. More and more, this is advertised as a revolutionary offering from suppliers, promising to reduce everyone’s workload.
Machine learning allows businesses to better understand and streamline processes, large language models (which can generate text, video, and voice in response to user-fed prompts) convey information and refine searches for easily digestible content, image generation models are integrated into creative processes to help with branding. I personally use ChatGPT’s voice feature to practice languages. The potential applications are undeniably fascinating.
What does AI Security mean?
AI Security is concerned with the secure deployment of AI systems, and the secure operation of AI-enhanced systems. The end-to-end management of AI means secure development, secure deployment, secure operation, and secure decommissioning. The AI systems you employ need to protect your assets and either maintain or reduce the risks posed to your organisation.
From an IT security perspective, the potential risks and vulnerabilities presented by the integration of AI are arguably poorly understood, except by a few who are deeply educated in the field. Fears of AI supporting terrorists in the production of advanced chemical weapons, while not impossible, feel far-fetched to the average user. Some issues closer to home include:
- Governance of AI is inherently difficult – How can someone own the risk of a capability that, for the time being, cannot be understood? (A problem known as mechanistic interpretability).
- Technical controls in an AI model are likely to be overly restrictive – How do you achieve competitive capability and protect your company’s data?
- The relatively nascent applications of AI mean that the impacts of insecure AI application have yet to be felt – Most of the known vulnerabilities have been discovered by researchers, not hackers.
What Can Be Done?
If you are in a business that is integrating AI, then there are several factors you need to consider:
- What is AI doing for my business? Start with the basics!
- What are my limiting factors? Regulations, laws, and organisational guidance will affect what you can do. (See: AI regulations in the UK)
- Do I understand the risks? Know your tolerances and accept that some applications for AI will be outside of them.
- Can I get ahead of the curve? If you’re thinking about cyber and information security risk management for AI, then you’re already on the right path.
Arcanum’s cyber security consultancy ensures that your business can leverage the full potential of AI while staying protected against emerging threats. With a deep understanding of the intricacies and challenges surrounding AI integration, our team is equipped to provide comprehensive security solutions tailored to your specific needs.
Don’t leave your AI security to chance – contact us today and let us guide you through securing your business with confidence.