Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Cognitive Load and Dashboards in the 2025 SOC

The 2025 year in review reflects on research that shows daily grind and relentless tasks weigh more on the mind than rare major incidents. Flight deck style design offers a model for soc dashboards in 2025, where each instrument should cut cognitive load instead of drowning analysts in flashing warnings and clutter.

The CEO's Take: Blind Spots in the Enterprise & Ecosystem

“The best way to compromise a ‘secure organization’ was to go find the things they didn’t know about.” Vulnerability management – within both the enterprise as well as the vendor ecosystem – is largely broken. Join Aleksandr Yampolskiy and HD Moore for this webinar discussing: SecurityScorecard monitors and scores over 12 million companies worldwide.

6 Steps for Using a SIEM to Detect Threats

Most people know the old fairy tale of the boy who cried wolf. Every day, the little shepherd would scream from the top of his hill, “A wolf is chasing the sheep!” While villagers initially responded to the alarm, they soon realized that the boy was lying to them. In the end, when a wolf truly did chase the sheep, no one heeded the boy’s cry.

MongoBleed (CVE-2025-14847): How to Fix the Critical MongoDB Memory Leak

CVE-2025-14847, nicknamed MongoBleed, is a high-severity (CVSS 7.5–8.7) unauthenticated information disclosure vulnerability in MongoDB Server. It allows remote attackers to leak uninitialized heap memory containing sensitive data—such as credentials, API keys, session tokens, and PII—without authentication. Exploitation occurs pre-authentication via malformed zlib-compressed network packets on port 27017.

What is Safe Remediation in Check Point Exposure Management's Offering?

Safe Remediation is the process of turning validated exposure insights into coordinated, non-disruptive fixes across security controls ensuring teams can reduce risk quickly without breaking production. More specifically, Safe Remediation includes: Validation before enforcement Remediation without downtime Automated, coordinated action across controls Preemptive blocking of attacker infrastructure Safe-by-design automation Safe Remediation ensures that exposures are fixed quickly, automatically, and without operational risk – turning detection into trusted, validated action.

Brand Abuse in App Stores: Why Fake Apps Keep Winning & What Security Teams Miss

Brand abuse in app stores is no longer opportunistic. It has become repeatable, scalable, and persistent. Attackers do not publish one fake app and disappear. They operate in cycles. A fake app is uploaded, value is extracted, a takedown occurs, and a near-identical version reappears under a new developer identity. This loop runs continuously across regions, marketplaces, and distribution channels. For security teams, this changes the mandate.

How modified APKs disguise themselves as your app across third-party stores

Attackers don’t need to breach your infrastructure to harm your users. They don’t need source code access, credentials, or backend vulnerabilities. They just need your public APK. Once your app is publicly available, attackers can download it, decompile it, inject malicious code, repackage it, and redistribute it through third-party app stores and unofficial marketplaces.

Your app store listings are changing without you noticing. Here's why it matters.

Most teams treat an app release as the finish line. The build clears CI/CD checks. Security scans pass. The app ships. Celebrations follow. But for mobile apps, the real exposure often begins after release, inside app stores, where metadata lives a completely different lifecycle from your code. App store listings are not static assets. They evolve constantly: What your team approved on day one may look very different to users on day ten.

Ignore false positives safely with ggshield secret ignore

In this section, we cover what to do when ggshield finds something you don’t actually need to remediate, like a false positive, an intentionally fake credential in a demo repo, or a known non-sensitive test value. ggshield secret ignore lets you mark specific findings as ignored by adding them to the secrets.ignored_matches section of your local configuration. If your repo doesn’t already have a local config file, ggshield will create a.gitguardian.yaml file for you.