SAN JOSE, Calif., February 7, 2024 – Securiti AI, the pioneer of the Data Command Center, today announced the release of its AI Security & Governance offering, providing a groundbreaking solution to enable safe adoption of AI. It uniquely combines comprehensive AI discovery, AI risk ratings, Data+AI mapping and advanced Data+AI security & privacy controls, helping organizations adhere to global standards such as NIST AI RMF and the EU AI Act, among over twenty other regulations.
In addition to the launch of its offering, Securiti AI also unveiled AIGovernance.Center, serving as a resource center for the community, and introduced a new AI Governance Certification program, which is provided free to the community.
There is an unprecedented ground-swell adoption of generative AI across organizations. A significant portion of this adoption is characterized by Shadow AI, lacking systematic governance from the organizations. Given the highly advantageous transformative capabilities of generative AI, organizations should prioritize establishing visibility and safeguards to ensure its safe utilization within their operations, rather than simply shutting it down.
Built within the foundational Data Command Center, the AI Security & Governance solution acts like a rule book for AI and offers distinct features to help organizations get full visibility on AI use, its associated risks, ability to control the use of AI and use of enterprise data with AI. It also enables organizations to protect against the emerging security threats targeted towards LLMs, some of which are defined by The Open Worldwide Application Security Project (OWASP) for LLMs.
“Securiti AI continues to innovate, bringing a comprehensive AI Security & Governance solution to market that enables organizations to safely use AI,” said Ryan O’Leary, Research Director Privacy & Legal Technology at IDC. “It addresses the critical need for comprehensive governance strategies that go beyond basic risk assessments, offering a holistic understanding of AI utilization, system mapping, continuous monitoring, and granular controls to ensure robust end-to-end AI governance.”
