threat-detection
Safeguard articles tagged "threat-detection" — guides, analysis, and best practices for software supply chain and application security.
35 articles
Best runtime container security tools
A practical comparison of runtime container security tools, from eBPF-based monitoring to commercial threat detection platforms, and what to weigh before buying.
Container Runtime Security Monitoring: Catching the Breach in Progress
Scanning tells you what could go wrong before deploy. Runtime monitoring tells you what is going wrong right now. Here is how to detect container attacks as they happen.
eBPF Runtime Security for Kubernetes
eBPF lets you observe and enforce security at the kernel level — every syscall, network connection, and process exec — without kernel modules or instrumenting your apps. Here is how tools like Falco, Tetragon, and Cilium use it to catch what image scanning cannot.
What Is Malware? Types and How It Spreads
Malware is any software built to do harm, from stealing data to locking up your files. Here's a beginner-friendly tour of the main types and how it gets in.
Malware Meaning: What It Is and How It Spreads
The meaning of malware is simple — any software written to harm, exploit, or gain unauthorized access — but the categories and delivery methods are worth knowing.
How to Choose an AI Cybersecurity Company in 2026
An AI cybersecurity company uses machine learning to detect, prioritize, and remediate threats faster than rules alone. Here is how to evaluate one honestly.
Malware Code Explained: How Malicious Code Works and How to Detect It
Malware code is any code written to run without the owner's informed consent and against their interest. Understanding its patterns is what makes it detectable.
Monitoring Package Maintainer Changes as a Threat Signal
Most package hijacks start with a maintainer change nobody was watching. Registry metadata makes these events observable — if you bother to look.
Artificial Intelligence Security Tools: What They Do and How to Choose
Artificial intelligence security tools now sit in two camps: tools that use AI to defend software, and tools that defend the AI itself. Knowing which one you need shapes the whole buying decision.
AI Endpoint Security: How Machine Learning Changes Endpoint Defense
AI endpoint security uses machine learning to detect threats by behavior rather than signatures. Here is what it actually does, where it helps, and its limits.
AI in Network Security: Where It Actually Helps Today
AI in network security earns its keep in anomaly detection and alert triage today, not in autonomous response — here's the honest split between what's proven and what's still marketing.
AI for Cyber Security: What Works and What Is Hype
AI for cyber security is real where it triages signal at machine scale, and overstated where vendors promise autonomous defense. Here is how to tell the two apart.
Self-healing security runs on Safeguard.
Your first fix PR is minutes away.
No sales call required, even your agent can complete the purchase over MCP.