Closing the AI-era data protection gap
Security teams do not have a tooling problem. They have a continuity problem.
Sensitive data is moving faster than the controls built to protect it. It moves through cloud apps, private environments, AI tools, prompts, responses, files, APIs, agents, and everyday copy-paste workflows. While on this journey, it changes shape. It gets summarised, rewritten, exported, embedded, and reused. This leads to a data protection gap.
9% of organisations can reliably recognise sensitive data after it has been modified. And although 98% now use AI, just 8% enforce policies consistently inside AI environments.
Give your team the visibility, enforcement, and evidence they need to protect sensitive data wherever it moves.
