MalaysiaKaspersky sounds alarm on shadow AI corporate risk
Kaspersky identifies 'shadow AI' as a growing cybersecurity threat, where employees use unauthorized generative AI tools, potentially exposing sensitive corporate data to public AI models and increasing cyberattack risks.
Controlling enterprise data leaks from unsanctioned generative tools
Unregulated generative AI adoption by staff exposes proprietary operational data to external public models. Blocking these tools outright rarely works because employees actively seek speed improvements in daily workflows. Corporate IT leaders must instead accelerate the deployment of secure, enterprise-grade environments that ring-fence company information.
Execution breaks down when IT departments treat shadow AI purely as a compliance problem rather than a technology procurement gap. If secure internal alternatives are slow or restrictive, staff will continue bypassing network controls using personal devices and unapproved web interfaces. Watch whether corporate security teams move beyond network monitoring to actively provision managed tools across operational units.
For investment committees and corporate boards, evaluating technology budgets now requires verifying that AI productivity initiatives include explicit funding for secure enterprise access layers to prevent data leakage.