Interactive builder

Build Your AI-Sec Toolchain

Pick the lifecycle stages you actually need to cover and your constraints (OSS-only, budget, self-host, model family). We assemble an end-to-end toolchain blueprint — one or two best-fit tools per stage with the rationale, license, and a link to the full roundup — and flag the overlaps and gaps in what you picked.

Tool fit, detection numbers, and licenses are drawn from vendor and project documentation and published evaluations, summarised in the roundups linked per stage. Detection rates are point-in-time and context-dependent — treat them as relative, not absolute. Reviewed 2026-05.

1. Which lifecycle stages do you need to cover?

1. Pre-deploy testing Scan models, prompts and pipelines for known weaknesses before release. 2. Red-team / adversarial campaigns Structured adversarial probing across 40–50+ vulnerability classes. 3. Runtime input/output guard Inspect prompts before the model and outputs before users — block/flag/redact. 4. Agent / tool security Sandbox tool use, gate actions, and constrain agent authority. 5. Monitoring / detection Trace behavior, detect drift, and catch adversarial ML regressions over time. 6. Audit / governance Structure the security review and map to regulatory obligations. 7. Watermarking / provenance Mark synthetic content for EU AI Act Article 50 / disclosure compliance.

2. Constraints

Open-source only Exclude every commercial / closed product. Some stages get weaker as a result — we say so.

Must be self-hostable (no data leaves perimeter) Exclude managed APIs that send prompts off-box (e.g. Lakera Guard SaaS).

Budget posture

Free / OSS infra only Moderate — a few hundred $/mo per tool is fine Enterprise — managed platforms acceptable

Primary deployment / model family

No strong preference Azure / Microsoft stack AWS / Bedrock stack Self-hosted open weights (Llama etc.)

All stages & candidate tools

1. Pre-deploy testing Top LLM Vulnerability Scanners (8 tools compared) →

Garak — Apache 2.0 (OSS)
PyRIT — MIT (OSS)
Calypso (Robust Intelligence) — Commercial

2. Red-team / adversarial campaigns AI Red Teaming Tools (frameworks compared) →

Promptfoo — MIT (OSS)
DeepTeam (Confident AI) — Apache 2.0 (OSS)
PyRIT — MIT (OSS)
Mindgard — Commercial

3. Runtime input/output guard AI Firewall & Guardrail Solutions (9 products tested) →

Lakera Guard — Commercial (SaaS; enterprise self-host)
LLM Guard (ProtectAI) — MIT (OSS)
NeMo Guardrails (NVIDIA) — Apache 2.0 (OSS)
Bedrock Guardrails (AWS) — Commercial (AWS)

4. Agent / tool security Best AI Agent Security Tools (4 categories) →

E2B Sandboxes — Apache 2.0 / SaaS
Invariant Labs — Commercial
NeMo Guardrails (tool gating) — Apache 2.0 (OSS)

5. Monitoring / detection Adversarial ML Defense Tools (what actually works) →

Langfuse — MIT (OSS)
Adversarial Robustness Toolbox (IBM) — MIT (OSS)
Robust Intelligence — Commercial

6. Audit / governance AI Security Audit Frameworks (OWASP / ATLAS / NIST compared) →

OWASP LLM Top 10 — Free / community
MITRE ATLAS — Free / community
NIST AI RMF (+ GenAI profile) — Free / government

7. Watermarking / provenance AI Model Watermarking Tools (practical overview) →

C2PA / Content Credentials — Open standard
Stable Signature (Meta) — Research / reference code (OSS)
NeMo Guardrails (text watermark) — Apache 2.0 (OSS)
Imatag — Commercial

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