Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Discover how advanced audit logging enhances SSO security and visibility for Jira, Confluence, and Bitbucket. Learn why standard logs fall short and how detailed tracking ensures compliance and faster troubleshooting.

Researchers believe AI tools are fueling a dramatic 42% surge in the amount of leaked credentials circulating for sale on the dark web. Each year, automated scrapers and human-operated groups comb through dark web forums, paste sites, and underground marketplaces to collect and repackage hundreds of millions of username–password pairs. Many organizations remain unaware of the full scope of these leaks until it’s too late, because breach disclosures are often delayed or incomplete.

Let’s catch up on the more interesting vulnerability disclosures and cyber security news gathered from articles across the web this week. This is what we have been reading about on our coffee break! A massive breach. Stand by for the phishing…

Security teams today are inundated with findings from a dozen different tools. They’re dealing with everything from scanner alerts to bug bounty reports, often in different dashboards, formats, and workflows. Organizations use, on average, eight tools that generate exposure findings (Seemplicity Year in Review Report), and over 50% of security professionals say managing all that noise is a major challenge (The 2025 Remediation Operations Report).

Too many tools. Uncertain backups. DR plans no one has tested in months. We recently ran a survey with IT admins and sysadmins across the globe. But we didn’t stop there. We dug deeper into forums, community threads, and real-world war stories from IT trenches.

Everyone talks about it, now one knows how others do it. Until now. Read on…

Our DevOps environment moves fast. Cloud instances spin up and down. Containers launch and retire. New APIs appear without warning. Trying to track it all with scripts, spreadsheets, and one-off scans meant I often missed things. A TLS certificate would slip through. An open port would go unnoticed. I’d spend hours chasing down who owned an asset.

Corelight’s GenAI Accelerator Pack features the industry's first Model Context Protocol (MCP) server, specifically designed to facilitate easier access to detailed network data and alerts for cybersecurity AI agents and enhance the analysis of network security information. The announcement comes at a pivotal moment for cybersecurity.

Corelight has been an innovator and leader in AI and Large Language Model (LLM) adoption for almost 2 years. We introduced our first use of LLMs in our Open NDR platform Investigator in November of 2023. Since then, we have continued to push the boundaries of the possible by working with AI model builders on cybersecurity-specific training and expanding LLM use within Investigator to include data analysis and summaries.

Your API attack surface is larger and more exposed than you realize. In today's complex, cloud-native environment, APIs are deployed at an astonishing rate. While this rapid pace fuels innovation, it also creates a significant visibility gap. The APIs you are aware of and manage are only the tip of the iceberg. Your actual risk exists beneath the surface, in the undocumented, unmanaged, and forgotten APIs that traditional security tools completely overlook.