All posts
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XL-SafetyBench Wants LLM Safety Teams to Stop Grading in English
A new 5,500-case multilingual benchmark separates principled refusal from comprehension failure, and exposes how much frontier safety still rides on English-only assumptions.
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Best AI Agent Security Tools: Protecting Autonomous LLMs in 2026
A curated comparison of the best AI agent security tools — runtime guardrails, tool-use sandboxing, identity governance, and behavioral monitoring for production agent deployments.
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Best AI Security Articles: A Curated Reading List
A hand-picked reading list of the best AI security articles, papers, and writeups — covering prompt injection, agent security, red teaming, governance, and incident analysis.
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Best AI Security Practices for LLM Apps: A Production Checklist
Curated AI security best practices covering threat modeling, runtime defenses, evaluation pipelines, identity, monitoring, and incident response — mapped to OWASP, NIST, and MITRE ATLAS.
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Best AI Security Resources: Courses and Certifications
A curated hub of the best AI security resources beyond tools and articles — courses, certifications, communities, datasets, podcasts, and standards bodies practitioners actually use.
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Best AI Privacy and Data Security Tools for LLM Pipelines
LLMs create new data exposure risks: PII in training data, sensitive data in context windows, data retention by API providers. We review the tools that address each risk layer.
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Best Prompt Injection Resources: Defenses, Tools, and Datasets
Curated prompt injection resources — runtime defenses, scanners, evaluation datasets, attack writeups, and reading material — with use-case guidance and pros/cons for each.
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AI Firewall and Guardrail Solutions: The 2026 Landscape
AI firewalls and guardrail platforms sit between users and your LLM. We tested nine products on detection accuracy, latency, and what slips through. Here's the breakdown.
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Open Source LLM Security Testing Tools: The Practical Toolkit
A curated review of the open-source tools actually worth deploying for LLM security testing — red-teaming, fuzzing, evaluation, and monitoring — with honest notes on what each one does and doesn't do.
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AI Red Teaming Tools: A Guide to the Best Frameworks in 2026
A technical comparison of the best AI red teaming tools — covering open-source frameworks like Garak, Promptfoo, PyRIT, and DeepTeam alongside enterprise platforms for continuous adversarial testing.
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AI Security Audit Frameworks: OWASP LLM Top 10, MITRE ATLAS, More
Which AI security audit framework should you actually use? We compare OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and three commercial frameworks against the same deployment scenarios.
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Best AI Security Tools 2024: Guide to LLM Defense
A hands-on breakdown of the best AI security tools 2024 has to offer — covering runtime guardrails, automated red teaming, open-source scanners, and governance platforms for securing LLM deployments.
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Adversarial Machine Learning Defense Tools: What Actually Works
Adversarial ML attacks are real and underappreciated. We survey the defense tooling — certified defenses, adversarial training frameworks, detection libraries — and tell you where each one fits.
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AI Model Watermarking Tools: A Practical Overview for 2026
Watermarking AI-generated content and model outputs is becoming a compliance requirement. We compare the tools, explain the tradeoffs, and tell you what actually works.
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Top LLM Vulnerability Scanners: What We Found Testing 8 Tools
We ran 8 LLM vulnerability scanners against the same attack corpus and measured what each one actually catches. Here are the numbers — including the tools that failed.
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What this site is for
Best AI Security Tools compares the AI security tooling landscape with numbers — detection rates, false-positive rates, and the inconvenient findings. Here's how we work.