AI Sec Reviews

Interactive scorecard

AI-Sec Tool Scorecard Builder

Pick 1-3 reviewed tools, then tune what matters for your context. Every dimension score comes from the documented review on this site, which is built from vendor documentation, source code and published evaluations, and the evidence sentence behind each score names its source inline. Where a figure is vendor-stated it is labelled as such, and where nobody publishes a figure the evidence says so instead of inventing one.

Each dimension is scored 0-5 from the linked review, on published evidence rather than first-hand testing. 5 = strongest documented; 0 = effectively absent or a hard weakness. Higher is always better, including for cost/effort dimensions (5 = lowest cost / least effort). A dimension with no published evidence in either direction sits mid-scale and says so. Scores reviewed 2026-09.

1. Pick 1–3 tools to compare
2. Apply my context (optional)

Auto-sets dimension weights for a common usage pattern. You can still hand-tune below.

3. Weight each dimension (0 = ignore, 5 = critical)
3

How well it catches the clear, in-scope attacks it is built to catch, on real traffic or standard test sets.

3

Holds up against adversarially-optimized, encoded, or previously-unseen attacks rather than only fixed/known patterns.

3

How safe it is to act on individual decisions. 5 = very low false positives; low score = noisy / sampling-only.

3

Suitability for the synchronous, latency-bound path. 5 = sub-10ms-ish; low = seconds / hours.

3

How little work it takes to wire into a pipeline or CI. 5 = drop-in API/CLI; low = heavy configuration.

3

Range of deployment models, especially self-host / data-residency-friendly options.

3

Health of upstream maintenance and how little ongoing care the operator must invest.

All tools & raw review scores

Tool Detection rateNovel-attack resilienceLow false-positive costLatency fitIntegration effortDeployment flexibilityMaintenance signal
Garak Apache 2.0 (open source) 4231244
Lakera Guard Commercial (SaaS; enterprise self-host) 4333544
Guardrails AI Apache 2.0 (open source) 3233454
PyRIT MIT (open source) 4333445
Rebuff Apache 2.0 (open source) 3233251
Arize Phoenix Elastic License 2.0 (source-available) 3222454

More single-product reviews

Reviewed on the same evidence basis, but not part of the interactive matrix above.

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