Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Closing the Gap Between Vulnerability Detection and Real Risk Reduction

Security teams are not struggling to find vulnerabilities. They are struggling to deal with them in a way that actually reduces risk. Most environments generate thousands of new findings every month. While vulnerability scanners, cloud tools, and endpoint platforms all contribute, that data does not come together in a way that is actionable. Teams end up with long lists of vulnerabilities, limited context, and no clear way to determine what should be fixed first.

Cato CTRL Threat Research: From Fiscal Lures to Remote Access, A Previously Undocumented NinjaOne RMM Abuse Chain

Cato CTRL researchers recently identified an undocumented, active phishing campaign targeting Brazilian organizations with fake business-document lures, downloading a NinjaOne Remote Monitoring and Management (RMM) agent. The use of NinjaOne is particularly significant, underscoring how attackers no longer need exotic malware to penetrate an enterprise. Familiar business workflows and software is enough.

From Vulnerability Management to Continuous Security Operations

For years, vulnerability management has been one of the cornerstones of cybersecurity. Organizations scanned their environments, identified weaknesses, prioritized remediation, and repeated the process regularly. That approach still matters. But today's threat landscape has fundamentally changed. Organizations now operate across cloud environments, remote workforces, SaaS applications, identities, endpoints, and increasingly complex networks.

Automating Vulnerability Triage to Overcome the Human Decision Capacity Limit

Most vulnerability management programs don’t struggle because they lack visibility. They struggle because they generate more security decisions than humans can realistically process at scale. Modern security teams already have most of the tools they need to find and assess vulnerabilities. Their real operational challenge is determining which vulnerabilities matter, which teams own them, which findings deserve escalation, and which can safely wait.

Cybersecurity Tips for Modern Entertainment: How to Secure Your Home IPTV Network

Home entertainment has evolved into something far more complex than just flipping channels. Today, every smart TV, streaming stick, and IPTV app sits on the same home network that also carries personal data, passwords, and sometimes even payment details. This interconnected world feels smooth, almost invisible, but underneath, it's like an open highway if not protected properly. Many users searching for a reliable experience also start looking for ways to ensure secure IPTV streaming, because entertainment today is not only about access; it's about safety too.

Claude Opus 4.8: Can It Finally Write Secure Code?

We put Anthropic’s new Claude Opus 4.8 to the test using our standard benchmark: building a secure, production-ready Notes app. Anthropic claims this model is four times less likely to let security flaws slip through. Operating on "Ultra Code" mode, the AI navigates environment blocks, writes its own E2E security test suite, and runs dependency audits. We walkthrough the final app and run a security scan using the Snyk CLI to see if Claude's code is truly safe to deploy.

The ghost in the machine: Addressing cybersecurity vulnerabilities and liability in autonomous vehicle failures

Autonomous vehicles are rapidly transforming the roadscape, but their increasing complexity introduces new cybersecurity risks with real-world legal consequences. Autonomous vehicle software vulnerabilities are increasingly affecting how crashes are analyzed and how responsibility is assigned. Vehicle-to-everything (V2X) communication security is also becoming a core concern as cars exchange data with nearby vehicles and infrastructure.

OWASP Top 10 2025: What's Changed?

For years, the OWASP Top 10 has operated as the gold standard for highlighting the most critical web application security risks. The 2025 edition arrives at a time when application environments are becoming increasingly complex. Cloud-native architectures, software supply chain risks, APIs and AI-assisted development are all changing the way applications are built and secured.

Redis Use-After-Free Remote Code Execution Vulnerability (CVE-2026-23479)

In May 2026, Redis disclosed a high severity memory safety vulnerability tracked as CVE-2026-23479. The issue affects the Redis server, a widely deployed in memory data structure store used for caching, messaging, and real time analytics across cloud and on premises environments. The vulnerability exists in the client unblocking logic and may allow an authenticated attacker to achieve remote code execution under specific conditions.

So You Have an AI Security Budget. Now what?

Most organizations spend their AI security budget on the wrong layer. The instinct is to just buy visibility to inventory the models, map the APIs, and ship a dashboard. But visibility alone won’t stop the coding agent that just pulled in a compromised MCP server. It won’t stop the production agent that’s about to forward a customer record to a place it shouldn’t go.