The newest enterprise AI risk is not just what workers type into chatbots - it is which tools, accounts, and workflows are being granted access in the first place.
The enterprise AI decision is no longer about which tool sounds smartest, but which one can be used without turning data, budget, and governance into liabilities.
The same employees who understand generative AI best can be the quickest to bypass approved tools when official options feel slow, limited, or heavily restricted.
A routine prompt, upload, or copied reply can move sensitive business data into places legacy controls were never built to watch.
Wellington is treating AI risk as a security question, not a hype cycle, and that shift matters because modern AI systems can widen the attack surface long before any breach occurs.
Four malicious npm packages were tied to a developer-focused supply-chain campaign, underscoring how routine dependency installs can put SSH keys, cloud credentials, and wallet data within reach of hostile code.
A 2026 DLP ranking puts a familiar security problem in a newer setting: cloud apps, edge devices, and generative AI are forcing data protection to move beyond the old network boundary.
In the NIS2 era, a suspicious login or a suspected data leak is not just a complaint to file; it can become the first signal that an organization’s security governance is working, or failing.
As AI tools flood the workplace, invisible threats like data leaks, shadow AI, and prompt injection are forcing companies to rethink security from the ground up.
A newly patched vulnerability in OpenSSL reveals how a subtle verification flaw could have jeopardized private data for countless users.
As AI agents quietly automate our workflows, they may be opening invisible doors for cybercriminals-here’s how to spot and secure them.
Without clear rules, artificial intelligence could be your biggest risk-or your greatest ally.
As employees embrace generative AI, Tenable and its rivals race to expose and control the hidden risks of “shadow AI” and data leakage.
A deep dive into how popular PDF libraries can unwittingly expose sensitive company data - and why your server’s biggest threat might be its most ordinary feature.