Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

When the AI Arrives Inside Software You Already Bought

An application that was AI-free at the last audit may be processing corporate data through a language model today. Nobody procured it, nobody approved it and nobody was asked. A vendor shipped a release. ‍ Third-party AI governance is built almost entirely around procurement. Assess the vendor, negotiate terms, sign a data processing agreement, add the tool to a register. The apparatus requires a purchasing event, and an embedded feature produces none, so the apparatus never engages. ‍

Best Shadow AI Governance Tools for Enterprises: Buyer's Shortlist

Security teams already know employees use generative AI. The harder problem is buying the right platform before unsanctioned apps move sensitive data outside your visibility and control. UpGuard research found 81% of employees and 88% of security leaders use unapproved AI tools, and 45% of workers find a workaround when their employer blocks an app. That last number should shape your buying criteria more than the first two. Demand doesn't disappear when you block it. It moves somewhere you can't see.

The Ultimate API Security Guide: Everything You Need to Know to Protect Your APIs

APIs power modern software. They connect apps, move data, and run agentic AI workflows. But every API is also a door into your systems. Attackers know this. They target APIs more than any other layer today. This guide breaks down API security from the ground up. You will learn what it means, why it matters, and how to protect your APIs against real-world threats. We cover risks, the OWASP API Security Top 10, best practices, tools, and use cases. Let’s get started.

Twitter Brand Impersonation: How Security Teams Detect Fake Accounts and Phishing on X

Most brand impersonation starts in public. A lookalike support handle appears, replies to real customers under your official account, and links to a credential-harvesting page. By the time it reaches a takedown vendor's weekly report, the damage window has been open for hours.

How Enterprises Vet Vendors: A Digital Contact Card Case Study

Every large company works with dozens, sometimes hundreds, of outside vendors. From software providers to marketing agencies to hardware suppliers, enterprises depend on a wide network of partners to keep operations running smoothly. But before any vendor gets a seat at the table, they go through a process that can feel like a job interview crossed with a background check. This process is called vendor vetting, and it exists to protect the enterprise from risk, wasted money, and reputational damage.

How AI Phone Calling Is Changing Voice Phishing Defense

Phone scams have been around for decades, but the last few years have brought a sharp shift in how convincing they've become. Voice phishing, often called vishing, used to rely on generic scripts and a scammer's ability to sound believable. Today, the same technology that powers helpful tools like AI phone calling is also being studied and used to fight back against these scams.

Why Sales Commission Data Needs the Same Audit Trail as Any Other Financial Record

An unexpected data integrity question has crept into sales operations: can a company actually reconstruct how a commission payout was calculated months after the fact? For teams still running compensation through spreadsheets, the honest answer is usually no, and that blind spot carries real financial and compliance weight.

Prompt Injection Through Tool Output Is Two Events (Your Screens Read One)

Tool output is untrusted because your own systems produce it. That is the part of the OWASP guidance that never makes it into a deployment. The label goes on web pages and email bodies, where an outsider obviously wrote the text. It never goes on the ticket store, the CRM, or the repo, because those are yours. The attacker does not care whose system it is. He cares which field takes free text: the ticket body, the opportunity note, the PR description.

I Tested 16 AI Video Generators for Storytelling. Here's My 2026 Ranking

AI video gets much harder the moment you ask it to tell a story. A single beautiful shot can hide a lot of weaknesses. Narrative work exposes them: the character has to remain recognizable, actions need to happen in the right order, camera changes have to make sense, and the next clip should feel as if it belongs to the same world. That is why we are not ranking these tools by the prettiest demo. We care about how useful they are for building scenes, maintaining visual direction, working from references and turning multiple clips into something that feels intentional.