Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

What Are Syslogs and How They Power Modern SIEM Detection

You're in the middle of a noisy SOC shift, and a firewall alert lands late. The device was supposed to send logs over syslog, but the path was UDP-based and the network dropped the messages under stress. By the time an auditor asks for proof, the team has an investigation, a gap in the timeline, and no clean evidence trail to show what happened.

Insurance Is Still in the Crosshairs: What Recent Dark Web Chatter Says About Sector Targeting

Insurance has always been a data-rich industry. But recent threat intelligence makes it clear that attackers are not only going after insurers because they are large organizations. They’re going after them because insurance touches some of a threat actor’s favorite things: money, identity, healthcare, legal claims, third-party relationships, and highly sensitive customer records.

What the OpenClaw Gym Booking Incident Reveals About Agentic and API Security

An Australian man named Andrew asked his personal AI agent, built on the open-source OpenClaw framework and powered by Anthropic’s Claude model, to book him into a popular morning gym class. According to ABC News, the class was full, so the agent started looking for a way around that. It found that the gym’s booking API let bookings be pushed far further into the future than the website’s own interface allowed, a limit that turned out to exist only on the front end.

AI Can't Do CTEM Alone (And Neither Can You)

AI can meaningfully power Continuous Threat Exposure Management (CTEM), but only for specific stages of the cycle: prioritization, validation, and remediation routing. AI can’t replace the underlying data integration work, and it can’t turn CTEM into a single product, because Gartner defines CTEM as a continuous five-stage program (scoping, discovery, prioritization, validation, mobilization), not a tool you install.

AI Cyber Readiness for Financial Institutions

Advanced AI models are changing the cyber threat landscape by accelerating vulnerability discovery, exploit development, and attacker decision-making. Regulators like the ECB have made clear: action plans are necessary. Financial institutions need to understand whether their existing cyber risk programs can keep pace, not only across their own attack surface, but across the critical third parties and software dependencies they rely on.

NIST SP 800-161: A guide to C-SCRM practices

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Managed EDR and XDR services: how MDR delivers 24/7 protection for MSPs

EDR (endpoint detection and response) and XDR (extended detection and response) are technologies. MDR (managed detection and response) is the managed service that continuously operates them — the 24/7/365 SOC team that monitors, investigates and responds to threats on the client’s behalf, built on top of EDR, XDR, or another detection stack.

The Cloud Controls Matrix (CCM): Manual vs. AI-Assisted Vendor Assessment

Most teams that assess cloud vendors already have a general idea of the Consensus Assessment Initiative Questionnaire (CAIQ) and Cloud Controls Matrix (CCM). However, you may not have a good answer for what it takes to run that assessment. Turning a vendor's trust center page, SOC 2 report, and security policy into a structured, defensible view of CCM control coverage is a different problem entirely.

Emerging Threat: (CVE-2026-20349) Cisco ASA and FTD Denial of Service via Remote Access SSL VPN

CVE-2026-20349 is a denial of service vulnerability in the Remote Access SSL VPN service of Cisco Secure Firewall Adaptive Security Appliance (ASA) Software and Cisco Secure Firewall Threat Defense (FTD) Software. The flaw stems from insufficient error checking when the service processes HTTP requests. The vulnerability carries a CVSS v3.1 base score of 8.6 (High). Cisco tracks it under CWE-244.