5 Generative AI Security Risks Compliance Teams Need to Know
Generative AI introduces significant security and privacy risks by creating new data exposure points—such as prompts, retrieval processes, and interaction logs—that traditional gov…
Generative AI introduces significant security and privacy risks by creating new data exposure points—such as prompts, retrieval processes, and interaction logs—that traditional gov…
Organizations should not delay AI adoption while waiting for perfect data, as silos and inconsistencies are an inevitable reality in enterprise environments. Instead, they should i…
The rapid discovery of massive numbers of high-severity vulnerabilities by AI models like Claude Mythos is creating a "patch apocalypse" that overwhelms traditional, manual securit…
Ivanti has announced the Ivanti Neurons AI Self-Service Agent, an autonomous, conversational AI designed to automate IT tasks such as knowledge searches, incident escalations, and …
Traditional endpoint discovery methods are failing to keep up with modern, distributed IT environments, creating dangerous visibility gaps and security risks due to shadow IT and u…
This article argues that misaligned patching between IT and Security isn’t a people or process problem, but a *technology* problem stemming from fragmented systems and conflicting …
This article emphasizes the critical need for robust AI governance frameworks as AI adoption rapidly increases. While AI offers significant benefits like accelerated decision-makin…
Here’s a paradox for the AI era: organizations are obsessed with the promise of AI as the key to unlocking productivity and enterprise transformation, and IT teams are all-in on th…
Optimizing IT costs is now the top priority for IT teams, according to Ivanti’s 2025 Technology at Work Report. Our survey found that cost optimization was cited as a critical stra…