AI safety platform RAIDS AI launches commercially

AI safety platform RAIDS AI launches commercially

RAIDS AI has launched commercially following a successful beta testing phase. The AI safety monitoring platform is now live, targeting organisations deploying artificial intelligence across regulated and high-risk environments.


AI safety monitoring platform RAIDS AI has formally launched its commercial product, following a beta testing programme that began in October 2025. The platform is now available to organisations deploying or operating AI systems, with a focus on detecting and responding to unintended or “rogue” AI behaviour in real time.

Co-founded by Nik Kairinos and Brett Stonefield, RAIDS AI is designed to monitor live AI behaviour and flag deviations from expected patterns before they result in system failure, bias, or regulatory exposure. The company positions the platform as an operational layer for AI governance, enabling organisations to scale AI use while maintaining oversight and accountability.

Following feedback from its beta users, RAIDS AI has introduced several product enhancements ahead of launch. These include a re-engagement system that prompts users to review monitoring insights at configurable intervals, as well as the ability to expand baseline data using synthetic datasets. New users can also begin monitoring without an existing baseline data file.

Additional updates include interface changes such as in-app notifications, a severity bar indicating threat levels, and broader design refinements. The platform now also supports automatic model training, which prepares monitoring models without manual configuration.

During the beta phase, RAIDS AI was tested by organisations across multiple sectors, including large cloud platforms, managed service providers, cybersecurity providers, AI solution builders, and software vendors. According to the company, participant feedback was used to refine both usability and monitoring accuracy while providing early users with behavioural insight into their deployed AI systems.

Alongside the product launch, RAIDS AI has expanded its partner ecosystem. The company has entered into a partnership with Prescient Security to provide end-to-end AI governance services. The collaboration combines real-time behavioural monitoring with independent ISO 42001 certification, aligning technical oversight with emerging international AI management standards.

RAIDS AI has also partnered with Christiana Aristidou LLC, which advises businesses operating under complex legal and regulatory regimes. The partnership is intended to support organisations in structuring, documenting, and monitoring AI governance processes in line with evolving regulatory expectations.

“We are absolutely thrilled to celebrate the full commercial launch of RAIDS AI,” said Nik Kairinos, CEO and co-founder. “The platform has been nearly two years in development and is the result of hard work, rigorous testing, dedication from our team and partners, as well as valuable feedback from our pilot and beta test participants.

“We know that rogue AI can have devastating consequences from financial loss, reputational damage, personal hardship and even loss of life. AI has developed at such a rapid pace that we are left playing catch up in regulating and guarding against when it goes wrong. But AI failures are not unexplainable, mythical occurrences. They are engineering problems that can be solved. We are committed to enabling organisations to utilise AI responsibly and safely.”

Sammy Chowdhury, co-founder and chief compliance officer at Prescient Security, said the partnership reflects growing demand for continuous oversight of AI systems. “We’re at an inflection point where AI adoption is outpacing governance, regulation, and risk management. With regulators, boards, and customers demanding transparency, explainability, and accountability, organisations can no longer rely on static policies or annual audits. Tools like RAIDS promise to increase transparency in AI behaviours.”

RAIDS AI is offering new users a 14-day free trial, with pricing structured around usage-based scaling for larger enterprises and a lower entry point for small and medium-sized businesses.



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