Organizations, particularly those in the financial sector, continue to highlight concerns over the AI cybersecurity threat. The outgoing chief executive of the Bank of England’s Prudential Regulation Authority named AI-driven cyber risk as the top threat to the banking sector in a recent Financial Times interview. These fears were no doubt exacerbated by Anthropic’s reveal of Mythos in April.
Tools that can identify thousands of software vulnerabilities can also be used to exploit them. And the real challenge is that these risks do not always appear before deployment. They often emerge once AI systems are live, interacting with real users, real data and real-world conditions.
That is why continuous monitoring is becoming so important, and it's a key theme of the whitepaper we've been working on in recent weeks. In it, we explore how organizations can take a more practical approach to AI governance and ISO 42001 compliance.
In recent weeks, we’ve also been focused on making RAIDS easier to access and deploy, while I've been busy sharing my thoughts on the latest trends in the AI space in the media.
All of this and more is laid out in our latest newsletter, which covers:
Our latest whitepaper on ISO 42001 in practice
New ways to access and review RAIDS, including G2 and PeerSpot
Recent media coverage and expert commentary
Updates from across the RAIDS team.
If the latest developments have shown anything, it is that AI risk is not slowing down – please don't hesitate to get in touch to hear more about how you can stay ahead of it. In the meantime, let’s get into the newsletter.
- Nikolas Kairinos, CEO of RAIDS AI
ISO 42001 in Practice: A unified approach to AI governance
AI is already embedded across businesses and society as a whole, but governance has not kept pace. Only 25% of organizations have fully implemented an AI governance programme, creating a growing gap between how quickly AI is being deployed and how well it is being controlled.
Our latest whitepaper looks at how ISO/IEC 42001 can help close that gap. It breaks AI governance down into three practical steps: building the right governance framework, monitoring how AI behaves once it is live, and proving readiness through audit and validation.
In short, it is about making AI governance work in practice, not just pre-launch. Importantly, the whitepaper also explores how organizations can apply these principles in real-world environments, where AI systems are constantly evolving and new risks continue to emerge…
Following our recent launch on AWS Marketplace, we’re continuing to make RAIDS easier to access, but we need your help.
We’re now live on both G2 and PeerSpot, giving organizations another way to explore the platform and see how others are approaching AI monitoring in practice.
As more businesses look to use AI safely, and vendors look to make their AI models more secure, independent reviews and peer insights have become the industry standard for evaluating new technologies like ours. Therefore, if you’re already using RAIDS, even as part of a pilot or evaluation, we would deeply value your feedback. Sharing your experience takes just a few minutes, but it goes a long way in helping other organizations understand what effective, real-world AI monitoring looks like.
As conversations around AI risk, regulation and real-world failures continue to evolve, our CEO, Nik Kairinos, has been contributing his perspective across a range of publications and sectors.
Here are a few recent highlights:
Nik wrote a piece for Intelligent CIO Europe on why AI governance must move beyond tick-box compliance if organizations want to be ready for enforcement:
In our latest blog, Nik reflects on why RAIDS AI launching on AWS Marketplace is such an important milestone for our business.
The blog looks at why continuous monitoring must become the norm for organizations, and how our AWS Marketplace presence makes it easier for them to access RAIDS and deploy AI more safely.
