Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Meet GitGuardian's Machine Learning-Powered Risk Scoring

The GitGuardian Platform now automatically ranks every secrets incident with a risk score from 0–100, turning alert floods into a prioritized, trustworthy work queue. Scores are computed from incident context (like validity, exposure, where it was found, and exploitability) and build on existing ML capabilities like Secret Enricher and our False-Positive Remover, which cuts false positives by 80%+.

What Is the Best Security for NGINX in Kubernetes? (Beyond Configuration)

The best security combines configuration controls (TLS, headers, network policies, pod security) with runtime behavioral monitoring that detects anomalies your configuration can’t see. Configuration creates the baseline—it defines what should happen. Runtime protection catches what gets through—it shows what is happening. You need both, but most teams only have the first.

Is JIT the Secret to Engineer Happiness?

Engineering teams lose hours of their work week to access bottlenecks. Shared credentials, manual checkouts, and ticket-based privileged access management (PAM) tools are poorly equipped to keep up with the speed and complexity of today’s distributed engineering environments. These bottlenecks stand in the way of critical engineering work. This can ultimately introduce real security risks (but more on that later).

See the Attack Before It Lands: What the ARMO-Rapid7 Partnership Unlocks

The ARMO-Rapid7 partnership connects broad attack surface coverage with deep cloud and Kubernetes runtime security and visibility. By correlating exposures with real workload behavior, organizations can identify meaningful risk earlier, focus remediation where it matters most, and respond to active threats with precision, improving security outcomes while operating more efficiently in cloud-native environments.

Stop buying niche tools to secure your AI. #cybersecurity #aisecurity #engineering

In his first prediction for 2026, Ev explains why that strategy is about to fail. We used to let microservices run anonymously because we had bigger fires to fight. But when all software becomes autonomous AI, anonymity is a risk you can't afford. If your software behaves like a human, why separate it from your human identity strategy? The future isn't "NHI." It's a Unified Identity Layer where humans and non-humans are managed as equals.

What Is a Dedicated Server? Full Guide, Advantages, and Use Cases

A dedicated server is one of the most powerful hosting solutions available today. Unlike shared hosting or virtual servers (VPS/VDS), where resources are distributed among multiple users, a dedicated server provides full physical hardware exclusively to one client. This makes it the preferred choice for businesses and projects requiring maximum performance, stable uptime, advanced security controls, and predictable resource allocation. In this article, we will examine how dedicated servers operate, what technical principles lie behind them, and who benefits the most from renting such infrastructure.

Your Data Deserves a Fortress: Why Shared Hosting is a Security Gamble in 2026

Cybersecurity is no longer just an IT concern; it is an existential issue for businesses of all sizes. Ransomware attacks, data breaches, and automated botnets do not discriminate between a multinational corporation and a local e-commerce store. While many business owners invest heavily in antivirus software and firewalls for their office laptops, they often overlook a glaring vulnerability: the infrastructure where their website and customer data actually live. Hosting your business on a shared server is akin to leaving your front door unlocked because you live in a "safe neighborhood." It works until it doesn't.

Is your organization actually AI-ready? #cybersecurity #aisecurity #ainews

According to our CEO @Ev Kontsevoy, this isn't a "nice to have" anymore."It will be required if you don't want to fail." For the last two years, most companies have treated AI as an experiment. But as Ev explains in this clip, 2026 is the year AI graduates from the labs and enters production. This shift changes the requirements for everything – from how we secure identity, to who we hire. To help you navigate this transition, we’re breaking down Ev’s 2026 Cybersecurity Predictions.

LLM Red Teaming: Threats, Testing Process & Best Practices

LLM red teaming is a proactive security practice that involves systematically testing large language models (LLMs) with adversarial inputs to find vulnerabilities before deployment. By using manual or automated methods to probe for weaknesses, red teamers can identify issues like harmful content generation, bias, or security exploits, which are then addressed through a continuous “break-fix” loop to improve the model’s safety and reliability.