Implementing AI Fast – Without Compromising Software Supply Chain Security

Competitors are launching AI rivals today and your board wants your AI response yesterday, but without embedded security, it’s an unacceptable risk, so what do you do?

With the break-neck speed of AI adoption – models, apps, and services – the demand to accelerate launch times and eliminate friction has never been greater.

But security professionals know that a recall, retrofitting security, or the consequences of a breach of security or non-compliance will far outweigh the cost of getting security right – and AI is even more complex to secure than conventional software.

So how do we deliver on the remit to launch our AI offering now, fast, securely, without any additional friction – fully aware that some in the organization will view implementing appropriate controls to reduce risk as a brake on innovation?

Fortunately there are ways to achieve this apparent contradiction, improving both our speed to market while simultaneously enhancing our security and ability to meet our compliance requirements. By adopting the right security-first approach using appropriate tooling the pain points can be automated, actually increasing speed to market while creating an SBOM for AI that ensures you know the provenance and vulnerabilities of any AI before it goes into production, with an inventory that facilitates reporting and patching.