Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

At 3am, you wake up in a cold sweat from a nightmare. The dream? You showed up to test for your most difficult class without having studied. Unprepared, your dream self sat in an uncomfortable desk, staring at a piece of paper and panicking. In the corporate world, an audit can induce the same sense of anxiety and distress.

Picture a cybersecurity team responsible for protecting a classified military installation in a remote operational theater. No internet connection. No cloud services. Classified and unclassified networks running on physically separate infrastructure. Their security information and event management system has to detect threats, correlate events, and generate alerts with zero external connectivity, for the entire deployment. That is not a compliance checkbox. It is a physics problem.

A security alert rarely fails because the team lacks data. It fails because the data is scattered. At 2 a.m., that usually looks familiar. The firewall has one timestamp format. The domain controller has another. The cloud console keeps the event you need behind three menus. The application server writes plain text that only one engineer knows how to read.

The first time a security team needs an AI agent audit trail is usually 72 hours after the agent has already done something it shouldn’t have. Detection fires. Someone pulls every relevant log from the SIEM (Kubernetes audit, container runtime, cloud audit) and three hours in realizes the events that actually matter were never written. Which prompt triggered the tool call. Which parameters the agent passed. Which output left the cluster.

Analyst reports tell you what vendors do. Peer reviews tell you whether it actually works. The Gartner Peer Insights Voice of the Customer for SIEM is built on verified reviews from real security and IT practitioners who bought, deployed, and operated the platforms they rated. No vendor involvement in the scoring. No pay-to-play placement. Just practitioners saying what worked and what did not. Graylog was included in the 2026 edition of that report. Here’s what our users said.

When people start driving, one of the first things they learn is how to set the rear-view and side-view mirrors. Whether driving locally or on the highway, these mirror configurations reduce accident risk because they improve the driver’s visibility into the cars behind and around them. In the cloud, various technical configurations act similarly.

In 2023, India’s Parliament approved and published The Digital Personal Data Protection Act (DPDPA). In many ways, the DPDPA is similar to other regulations, like the General Data Protection Regulation (GDPR). It establishes a similar data subject, or in this case Data Principal, rights of notice, consents, access, correction, and erasure. In other ways, the DPDPA creates unique definitions of and requirements for organizations that collect, process, and share personal information.

Certificate automation does a lot of work on your behalf. Agents running on your servers, talking to certificate authorities, deploying certs to your infrastructure. At some point someone (your CISO, your auditor, or your own brain at 3am) is going to ask: what exactly happened, and when? Today we’re shipping audit logs. Every action taken in CertKit is now recorded: logins, invitations, certificates added, issued, renewed, revoked, and deployed. Agent registrations, approvals, and config changes.

The Essential Eight identifies the most critical cybersecurity risk mitigation controls, providing a set of minimum baseline strategies. As organizations work to mature the security posture, the Essential Eight maturity model offers some options that they can use. However, for organizations that need to implement a more comprehensive security program, the Australian Signals Directorate (ASD) published the Information Security Manual (ISM).

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.