Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Splunk report: Agentic AI takes centre stage in CISOs' path to digital resilience

Nearly all CISOs report they are now responsible for AI governance and risk management, cite the growing sophistication of threat actor capabilities as their greatest risk. Vast majority say AI enables more security events to be reviewed.

Detecting Notepad++ CVE-2025-49144 Using Sysmon Logs

Text editors rarely show up in threat models. Installers show up even less. CVE-2025-49144 changes that. The issue is a local privilege escalation in the Notepad++ Windows installer that can allow a low-privileged user to gain SYSTEM-level execution by abusing insecure executable search behavior during installation. Affected versions include Notepad++ 8.8.1 and earlier, per the NVD record.

The Human-AI Alliance in Security Operations

Picture a SOC analyst starting an investigation. A suspicious spike in authentication activity appears on their dashboard, and they need to understand what’s happening quickly. To do that, they move through a familiar sequence of tools. What begins as a single investigation quickly turns into a chain of context switches: That’s nine steps to investigate one event. This isn’t accidental. Security tools have evolved to solve isolated problems, but together they have created fragmentation.

Enrich logs with ServiceNow CMDB context before routing to any SIEM or logging tool

Many DevOps and security teams rely on ServiceNow CMDB (Configuration Management Database) as the system of record for metadata about infrastructure assets, application and service ownership, and dependencies. ServiceNow CMDB captures which team owns each service, what business unit the service supports, the environment where it runs, and how assets relate to each other.

Anomaly Detection with Machine Learning to Improve Security

Being a security analyst can feel like being trapped in a Where’s Waldo book. You can find yourself staring at a data stream looking for something that “isn’t like the others.” However, as your organization collects and correlates more data from the environment, finding the Waldo can feel overwhelming. In a modern IT environment, organizations have hundreds or thousands of devices, users, and data points that they need to correlate so they can identify normal network activity.

Detect human names in logs with ML in Sensitive Data Scanner

Modern applications generate a constant stream of logs, some of which carry more information than they should. For too many organizations, logs include personally identifiable information (PII) such as customer names that were never meant to leave production systems. Teams try to limit this data exposure by using regular expressions to detect and obfuscate matches, only to discover that names like John O’Connor, Mary-Jane, Jane van der Meer, and A. García slip through.

Compliance Readiness with Audit Logging

Whether pulling items together for a holiday dinner or prepping weekly meals, you need to have all the ingredients necessary to cook the meals you want to eat. Often, this means making a grocery list, checking off items as you take them from the shelves, and, possibly, grumbling when one of the items isn’t available. In the IT and business worlds, audit logging is the shopping list that helps organizations with compliance readiness.

How to Ignore Cybersecurity AI Bubble FOMO

Cybersecurity teams are no longer circling an AI bubble. Rather, they are staffing inside it, buying within it, and getting measured by it. This matters because bubbles create a predictable trap: expectations are set higher than teams truly can deliver. Cato Networks CEO Shlomo Kramer recently told Business Insider the market is experiencing an AI bubble driven by heavy investment and AI-driven profit improvements, which he expects to unwind. A correction will not pause attacker activity.

Simplify log collection and aggregation for MSSPs with Datadog Observability Pipelines

Managed security service providers (MSSPs) deliver 24/7 monitoring and incident response for hundreds of customers across large, hybrid environments. As they add more customers and ingest more logs, MSSPs face mounting difficulties in collecting and processing that data before routing it to downstream security tools. Doing this reliably at petabyte scale while accounting for complex, customer-specific taxonomy and compliance requirements is a major challenge.