Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The 2026 Forecast for AI-Driven Threats

2025 changed the shape of digital risk. In 2026, the impact accelerates. The fastest-growing threats no longer look like traditional attacks. They arrive through apparently legitimate automated access – AI agents, LLM crawlers, and delegated automation interacting directly with revenue-critical systems. They don’t trigger alarms. They quietly extract value, distort pricing logic, and reshape digital economics at scale.

How to Install CurrentWare On-Premises (v12) | CurrentWare

In this video we will show you how to install CurrentWare's device control, web filtering, and computer monitoring software on-premises. After completing this tutorial you will be able to monitor and control your users' computers from CurrentWare’s central management console. If you would like to learn how to use CurrentWare to monitor remote workers, that topic is covered in another tutorial. Please see the CurrentWare knowledge base at Currentware.com/support for more details.

How to Deploy CurrentWare for Remote Employees (v12) | CurrentWare

Want to monitor and secure employees who work from home? With CurrentWare’s remote employee monitoring and cybersecurity software, you can improve employee productivity, data security, and business intelligence with advanced awareness and control over how technology is used in your organization. With Currentware, you can... Monitor employee internet and application use Restrict employee internet use & block unsafe sites Block USB portable storage devices to protect sensitive data Remotely startup and shutdown offsite computers.

The best TPRM software for 2026

Vendor risk programs often scale faster than the teams that run them. Every new third-party relationship adds security questionnaires, evidence requests, and hours of manual follow-up. When a single vendor review can take 50+ hours, backlogs grow, reviews slow, and critical risks slip through. ‍ At the same time, vendor security postures change constantly.

How Data Lineage Improves Data Labeling and Classification

For many security teams, data labels create more friction than clarity. Analysts are buried in alerts driven by labels they don’t fully trust. Files are marked “sensitive” with little explanation and important context is missing. As a result, investigations often turn into manual triage exercises, with teams jumping between logs and tools just to determine whether an alert reflects real risk or harmless activity.

CVE-2026-1731: Unauthenticated OS Command Injection Vulnerability in BeyondTrust Remote Support and Privileged Remote Access

On February 6, 2026, BeyondTrust released fixes for a critical vulnerability affecting BeyondTrust Remote Support (RS) and Privileged Remote Access (PRA), tracked as CVE‑2026‑1731. This vulnerability allows unauthenticated remote threat actors to execute operating system commands in the context of the site user via specially crafted requests.

CVE-2026-21643: Critical SQL Injection in FortiClientEMS

On February 6, 2026, Fortinet released fixes for a critical vulnerability in FortiClientEMS, tracked as CVE-2026-21643. The flaw arises from improper neutralization of special elements used in SQL commands in the FortiClientEMS GUI (web interface) that can allow an unauthenticated remote threat actor to execute unauthorized code or commands.

International AI Safety Report 2026: What It Means for Autonomous AI Systems

The International AI Safety Report 2026 is one of the most comprehensive overviews to date of the risks posed by general-purpose AI systems. It’s compiled by over 100 independent experts from more than 30 countries, and shows that while AI systems are performing at levels that seemed like science fiction only a few years ago, the risks of misuse, malfunction, and systematic and cross-border harms are clear. It makes a compelling case for better evaluation, transparency, and guardrails.

AI Agents Are The New Detection Problem Nobody Designed For

AI agents now operate as core identities in enterprise environments, authenticating, accessing data, and executing workflows at machine speed. Their flexibility and scale introduce a detection challenge traditional security models were never built to solve. Exabeam has seen this pattern before with insider threat and workload identities. AI agents accelerate the need for identity-centric detection.