#tool-review
7 posts
Wazuh Review 2026
Best open source SIEM for small teams — evaluate how Wazuh unifies XDR, file integrity monitoring, and vulnerability detection to strengthen your security operations without vendor lock-in.
Nuclei: The Fast, Open-Source Vulnerability Scanner Powering Modern Security
Comprehensive review of Nuclei by ProjectDiscovery: features, pricing, pros/cons, use cases, and alternatives
Protect AI Guardian Review 2026: ML Model Security for the AI Supply Chain
A practical review of Protect AI Guardian for ML model supply chain security — covering model scanning, policy enforcement, the Palo Alto acquisition, and how it fits into your AI security stack.
Giskard Review: Open-Source LLM + ML Security Testing, Tested
Giskard is the only open-source AI testing framework that covers both LLM security and traditional ML model quality in a single Python library. We test its autonomous red teaming agents, RAGET toolkit, 40+ vulnerability probes, and how it fits into a modern AI security stack alongside Garak and Promptfoo.
Lakera Guard Review: Check Point's Runtime AI Security Firewall, Tested
Lakera Guard is the most widely deployed runtime AI security API for stopping prompt injection and jailbreak attacks in real time. Now part of Check Point after a $300M acquisition, we test its detection accuracy, latency, integration path, and how it fits into a modern LLM security stack alongside red-teaming tools like Promptfoo and Garak.
Promptfoo Review: OpenAI's CI/CD-First LLM Red Teaming Tool, Tested
Promptfoo is the most widely adopted open-source AI red teaming platform — recently acquired by OpenAI. We test its CI/CD-native workflow, 50+ vulnerability probes, OWASP mapping, and enterprise features. Here's how it compares to Garak and PyRIT for your AI security stack.
Garak Review: NVIDIA's Open-Source LLM Vulnerability Scanner, Tested
Garak (8.2k GitHub stars, Apache 2.0) is NVIDIA's open-source LLM vulnerability scanner with 50+ probe modules for prompt injection, jailbreaks, encoding bypasses, and data leakage. We test it against real model endpoints, break down the CLI workflow, compare it to PyRIT and Promptfoo, and tell you whether it deserves a spot in your AI security stack.