Benchmark
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RAID Benchmark AI Detector Results: What the Scores Mean
RAID scores AI-text detectors at a fixed 5% false-positive rate across 11 models and 11 attacks. What top scores mean and where they mislead.
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OWASP LLM Top 10 Benchmark Mapping: What Tests Each Risk
Which public benchmarks and scanner probes test each OWASP LLM Top 10 2025 risk, where coverage is thin, and why tool tags still use 2023 IDs.
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AI Jailbreak Benchmark Leaderboard: 2026 Results
Compare AI jailbreak benchmark results from FAR.AI, JailbreakBench, HarmBench, StrongREJECT, and MLCommons by scope, judge quality, and procurement value.
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10 AI and LLM Security Benchmarks Compared
Compare 10 AI security benchmarks for LLMs, agents, detectors, and software-security tasks, including their scope, metrics, limits, and reporting traps.
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Measuring Prompt-Injection Robustness in Tool-Using Agents
Prompt-injection robustness for an agent is not a single number — it is utility-under-attack against targeted attack success.
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AdvBench vs HarmBench vs JailbreakBench: Key Differences
AdvBench, HarmBench, and JailbreakBench are not interchangeable, and treating them as one undermines every comparison built on top.
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Benchmarking LLM Jailbreak Resistance: Attack Success Rate
Attack success rate is the headline metric for jailbreak resistance, and almost everyone computes it in a way that isn't comparable across runs.
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How to Benchmark a Prompt-Injection Detector Honestly
Most prompt-injection detector benchmarks are broken before the first request. Here is a test design that produces a number you can actually trust.
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Choosing an LLM on Security Evidence, Not MMLU Scores
MMLU-style capability scores do not measure how a model behaves under attack. What to measure before choosing an LLM for a security-sensitive deployment.