… Security Organizations are rushing to push the code live, ignoring the obvious security risks. Security New research finds 62% of senior leaders use unapproved shadow AI but only 31% of other workers , prioritizing productivity over compliance. …
… Security New data reveals customer service workers spend more on trust, security and compliance than AI development itself. …
… Audit as a foundation, not a checkbox To solve this, security leaders need to build audit into their AI strategy from the start. Not as a compliance exercise, but as the foundational layer that makes agentic AI governable. …
… Ignoring compliance requirements for your industry Regulated industries such as healthcare and financial services face compliance obligations that extend to their phone systems. …
… Application security - AI security begins well before deployment. Embedding security into software and applications that support AI-driven workflows allows organizations to identify vulnerabilities earlier and build systems that are more resilient by design. …
… Not a complete solution Despite its many advantages, a dotBrand TLD is not a complete security solution. As organizations plan their cybersecurity investments, the question is not whether to adopt any single approach, but how to balance different layers of defense. …
… Security risks are quietly reframed as the customer's responsibility, unless they move. …
… That’s a fundamentally different threat model than most organizations are planning for and reframes how we need to look at agentic AI security . …