Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Intrusion-Detection ML Pipeline: Hiring Python Data Engineers and Security Analysts

Modern cyber threats evolve rapidly, often evading traditional defenses, so organizations are adopting machine learning (ML)-driven intrusion detection systems (IDS) that learn normal network patterns and flag anomalies in real-time.

Why Do Security Alerts End Up in Spam, And How to Stop It?

It's a strange irony, isn't it? The very emails designed to protect people - security alerts - often wind up stuck in spam folders. Banks send login notifications, cloud services flag suspicious activity, and companies fire off fraud warnings, yet many of these never see the light of the inbox. This isn't just frustrating. It's risky. If a customer never sees that warning, they might fall for a scam or miss an important account update. So why does this happen? The truth is, the rules that keep us safe from junk mail sometimes turn against us.

Drowning in Alerts? This is Why Your Organization Needs MDR

Trustwave, A LevelBlue Company, regularly writes about Managed Detection and Response (MDR) covering every aspect of our solution, the partners we work with, what industry analysts think, but sometimes it’s good to circle back and cover the basics. We’ll do that today breaking down what MDR is and why you need it. The number of threat actors and cyber threats are not likely to decrease any time soon, or even far down the road.

GitGuardian Remediation Guide - From Alert to Resolution

In this video, Dwayne McDaniel, Developer Advocate at GitGuardian, walks you through the workflow security and DevOps teams can follow to investigate and remediate a secret leak using the GitGuardian platform. Whether it’s an exposed API key, token, or internal credential, GitGuardian helps you go from alert to resolution with confidence.

What are False Positives?

What are false positives in cybersecurity — and why do they matter? In this video, we break down the concept of false positives: those annoying alerts that cry wolf when there’s no real threat. You’ll learn how they happen, the difference between false positives and false negatives, and the hidden costs they create for security teams. We’ll also walk through real-world examples, explore how false positives impact SOC efficiency, and share practical strategies to reduce them using better configurations, machine learning, and smarter alert triage.

How to reduce alert overload in defence SOCs

AI-powered triage, faster insights, and the headspace your analysts need If you’re a security leader or analyst within the defence space, you likely brace yourself for a daily battle with alert overload — and you’re not alone. Analysts face a relentless flood of notifications with the majority turning out to be false positives. Studies show that 71% of SOC personnel1 experience burnout and report feeling overwhelmed by alert volume.

Cut SOC Alert Fatigue with Smarter Detection Architecture

In many organisations, the security operations centre (SOC) is overwhelmed. The volume of alerts coming from tools like Sentinel, Defender for Endpoint, and Cloud Apps is high—and growing. Spending more time triaging noise than they are stopping real threats, does this sound familiar? This isn’t about analyst headcount or tool choice. It’s about architecture.

xonPlus Launches Real-Time Breach Alerting Platform for Enterprise Credential Exposure

xonPlus, a real-time digital risk alerting system, officially launches today to help security teams detect credential exposures before attackers exploit them. The platform detects data breaches and alerts teams and systems to respond instantly. Built by the team behind XposedOrNot, an open-source breach detection tool used by thousands, xonPlus gives organizations instant visibility when their email addresses or domains appear in breach dumps or dark web forums.