Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

User and entity behavior analytics (UEBA) tools are essential cybersecurity solutions, helping organizations to detect anomalous activities and hidden threats. In this article, we explore the top 10 UEBA tools on the market today. You’ll learn about their key features, use cases, pricing, and customer experiences.

Generative AI has revolutionized productivity — but it has also introduced a massive, often invisible new vulnerability: AI data exfiltration. Whether it’s a well-meaning engineer pasting source code into an LLM for debugging, or a marketer feeding sensitive customer data into a prompt for analysis, your organization’s most valuable intellectual property is likely walking out the virtual front door.

The rapid adoption of generative AI has transformed enterprise productivity, but it’s also quietly introduced a new, sophisticated vulnerability: the AI insider threat. For years, securing the internal perimeter meant watching for data exfiltration via USB sticks or unauthorized emails. Today, the risk looks entirely different.

Most insider risk programs stall at the same place: they can see what data exists, but not what users are doing with it. Data security posture management (DSPM) tools catalog sensitive files, flag misconfigured permissions, and surface overexposed repositories. What they often cannot communicate is whether that overexposed file was accessed, copied, renamed, and uploaded to a personal cloud account by an employee who put in their resignation last week.

Artificial intelligence tools have completely revolutionized the way we work, boosting productivity to heights we couldn’t have imagined just a few years ago. But the upside comes with a high-stakes catch: every time an employee pastes proprietary code, financial records, or sensitive customer data into a public AI prompt, your company is at risk. As Shadow AI adoption skyrockets, implementing robust data leakage prevention is no longer an IT checklist item — it’s a business imperative.

Here’s the reality that most security teams are already living: Over 80% of employees are using unapproved AI tools at work, and nearly half are actively hiding them from IT. The question facing every organization is no longer whether to adopt artificial intelligence — it’s how to secure the sensitive data flowing into it every single day. This is the governance gap.

The threat is coming from inside the organization. It is coming from a laptop farm three states over, routed through a proxy, and operated by a threat actor sitting on the other side of the globe. We are witnessing a massive shift in how adversaries breach organizations. They no longer need to spend weeks probing your external firewalls or crafting the perfect zero-day exploit. Instead, they simply update their resumes, pass your interview process, and your IT department ships them a corporate device.

Bringing artificial intelligence into the office is a bit like adopting a hyper-energetic, brilliant, but chaotic intern. It can supercharge productivity, but if left unsupervised, it can accidentally delete the company database or invite a lawsuit. While the benefits of workplace AI are heavily advertised, deploying it without a safety net introduces significant vulnerabilities. Here’s a comprehensive breakdown of the risks businesses face when integrating AI into their daily operations.