Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Security analysts need clear visibility into potential threats to proactively defend against cyberattacks. Defining these threats can be challenging, but many security teams rely on the MITRE ATT&CK framework as a foundational resource for strengthening their defenses. While security platforms tag detections with MITRE ATT&CK tactics and techniques, analysts often struggle to assess their overall coverage across different attack surfaces.

CVE-2025-1094 presents a critical challenge to established SQL security paradigms, effectively circumventing fundamental best practices. Though initially reported over a month ago, the gravity of its implications warrants an extensive analysis. This vulnerability challenges the long-held assumption that proper escaping guarantees protection against SQL injection attacks.

We’re pleased to announce that a new Digital Risk Protection (DRP) integration has been added to Outpost24’s External Attack Surface management (EASM) platform: the Dark Web module. Security teams need complete visibility on their organization’s exposure and potential threats. This doesn’t only include your owned online assets, but also your dark web presence.

Picture a company like a global logistics platform. On a regular Tuesday morning, shipments are crossing continents when the tracking updates suddenly stop. Then, delivery routes are rerouted by themselves, and thousands of customers are left with no information. A single exposed API endpoint or an authentication check that was left incomplete had drastic consequences for this company.

Various studies reveal a startling fact: endpoint devices are the source of 90% of successful cyber-attacks and 70% of data breaches1. These numbers emphasize why modern cybersecurity strategies must carefully weigh the choice between XDR vs EDR. Endpoint detection and response (EDR) has served as the life-blood of security frameworks.

The Tripwire Enterprise Critical Change Audit rules provide customers with the ability to monitor for critical events that could have a significant impact on a system. Monitoring for critical events can help administrators identify malicious and/or unexpected changes within their environment.

We are excited to announce Detectify Alfred, a revolutionary system that uses AI to completely autonomously collect and prioritize threat intelligence and generate high-fidelity security tests for the CVEs that are most likely to be exploited in the wild.

AI (Artificial Intelligence) is a broad concept encompassing machines that simulate or duplicate human cognitive tasks, with Machine Learning (ML) serving as its data-driven engine. Both have existed for decades but gained fresh momentum when Generative AI, AI models that can create text, images, audio, code, and video, surged in popularity following the release of OpenAI’s ChatGPT in late 2022.