Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
Dynamic scanning tests a running application the way an attacker would, by sending it requests and watching what comes back. Here's what that actually involves and when it's the right tool.
A Python vulnerability scanner checks your code and dependencies for known security flaws. Here is how the different scanner types work and how to combine them in CI.
An SSRF attack tricks your server into making requests on an attacker's behalf, often reaching internal systems it should never touch. Here is how it works and how to defend against it.
What a skill scanner does, why AI agent skills and voice-assistant skills need scanning, and how to evaluate one for your pipeline.
An SCA solution inventories your open-source dependencies and flags the ones with known vulnerabilities or risky licenses. Here is what separates a good one.
How mobile application penetration testing actually works — the methodology, the tools, and what to expect from a good engagement — from someone who runs them.
A defender's field guide to the network hacking tools attackers reach for — reconnaissance, sniffing, exploitation, credential attacks — and the detection and control that answers each class.
Searching for XSS payloads on GitHub turns up huge lists of test strings. Here is what they are actually for, how defenders use them responsibly, and how to stop cross-site scripting in your own code.
A practical DAST tools list for 2025: the open source and commercial scanners worth knowing, what each is good at, and how to fit DAST into your pipeline.
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