Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

ManageEngine OpManager Nexus achieving FIPS 140-3 compliance marks a significant step forward. It signals a stronger commitment to cryptographic integrity, regulatory readiness, and enterprise-grade security—without compromising operational efficiency.

Published by the Open Worldwide Application Security Project (OWASP) in 2025, the OWASP Top 10 for Agentic Applications 2026 identifies security risks that organizations need to consider when implementing agentic artificial intelligence (AI) systems. The guide focuses on how threat actors can exploit agentic systems in new ways and on the associated risk mitigation strategies.

Last summer we introduced Automated Leads, a transformative approach to threat detection designed to surface the subtle signs of an attack before it turns into a full-blown breach. It’s powered by CrowdStrike Signal (distinct from SGNL) and delivered via the CrowdStrike Falcon platform. Since that launch, the goal has remained the same: to move beyond the limitations of traditional alerting and give analysts a head start on detecting the most sophisticated adversaries.

Most multi-site infrastructure teams manage access and audit logging site by site, using stacks that have been built up over time through different tools, different owners, and thousands of static credentials or standing admin privileges. This makes org-wide auditability nearly impossible to produce on demand, and adds complexity to regional compliance requirements.

When a security alert fires, your analyst opens your security information and event management (SIEM) platform, copies an IP address, pastes it into a threat intelligence platform, checks the asset inventory, cross-references the identity provider, and messages the on-call lead on Slack. Meaning your analyst needs to wade through five tools, taking at least ten minutes before any actual response begins.

AI agents are already running inside your organization. They are accessing files, calling APIs, and executing multi-step workflows with no human reviewing each action. Most governance programs were not designed for this. They were built around policies for human users, controls for known data channels, and audits that happen after the fact. None of those structures were designed to govern systems that act at machine speed across every environment where data lives.

Data breaches are no longer rare events. Almost every week, there’s news about companies losing customer data, exposing internal files, or facing penalties due to compliance failures. While most of these incidents highlight large enterprises, small businesses are just as vulnerable, and in many cases, even more exposed. Small businesses handle customer data, financial records, and business-critical information, but often lack dedicated security teams or advanced controls to protect it.