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%+.

Why Did CrowdStrike Buy SGNL? It's all about AI

Security powerhouse CrowdStrike made headlines this week with a major acquisition in the identity space with their purchase of SGNL for a reported $740 million. If you’re wondering why did CrowdStrike buy SGNL, you’re asking the right question. And you’re probably not alone. Over the past year, we’ve watched some of the largest security platforms in the world spend real money acquiring identity security companies.

7 Smart Ways to Improve Security Monitoring With Automation

Security can feel like a constant background concern for anyone who runs a startup or manages product delivery. One missed alert or late response can cause serious damage. Manual monitoring is no longer effective, as it doesn't scale well. Workers get tired, which causes logs to pile up and signals to be easily missed. That is why many businesses are turning to automation.

New Cloudflare report warns of a 'Technical Glass Ceiling' stifling AI growth and weakening cybersecurity

New research shows that organisations modernising apps are 3x more likely to see AI payoffs, while those clinging to legacy systems face rising security risks and developer talent shortages.

Arctic Wolf and AWS: AI-Powered SOC and Security Incident Response

Discover how Arctic Wolf partners with Amazon Web Services (AWS) to deliver cutting-edge, AI-powered Security Operations Center (SOC) capabilities and advanced security incident response solutions. This video explores how Arctic Wolf leverages AWS cloud infrastructure and artificial intelligence to provide: Learn how this powerful combination enhances your organization's security posture, reduces response times, and protects against evolving cyber threats through intelligent automation and comprehensive managed detection and response (MDR) services.

How Agentic AI Creates Shadow APIs: Security Risks Explained

How Agentic AI Creates Shadow APIs: Security Risks Explained As businesses move from static applications to Agentic AI, the security landscape is shifting beneath our feet. In this clip from the A10 Networks webinar, "APIs are the Language of AI: Protecting Them is Critical," experts Jamison Utter and Carlo Alpuerto discuss a new frontier in cybersecurity: AI that builds its own APIs.

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.

ServiceNow's Virtual Agent Vulnerability Shows Why AI Security Needs Traditional AppSec Foundations

The recent disclosure of what security researchers are calling "the most severe AI-driven vulnerability uncovered to date" in ServiceNow's platform serves as a stark reminder: securing agentic AI isn't just about new AI-specific controls; it requires getting the fundamentals right first.