Editorial collection

Best AI Red Team Tools 2026

For AI security engineers, red team leads, and responsible AI officers testing LLM applications and AI systems for prompt injection, jailbreaks, data leakage, harmful content, and regulatory non-compliance.

Last checked October 15, 2026

Editorial independence: aicompliancevendors.com does not accept vendor payment for inclusion or ranking. Every pick below is editor-selected against the criteria stated on this page, and every factual claim is traceable to a cited public source.

Top picks: Lakera — Teams that want red teaming and runtime protection from one vendor; Promptfoo — Security teams running automated red teaming in CI/CD; Giskard — Enterprises testing conversational AI agents continuously. Plus 2 more vendors reviewed below. Last updated October 15, 2026; every entry cites public sources.

At a glance

#	Vendor	Best for	HQ	Pricing
1	Lakera	Teams that want red teaming and runtime protection from one vendor	Zurich, Switzerland	contact only	Profile
2	Promptfoo	Security teams running automated red teaming in CI/CD	San Francisco, United States	free	Profile
3	Giskard	Enterprises testing conversational AI agents continuously	Paris, France	contact only	Profile
4	Protect AI	Palo Alto Networks customers that also need model supply chain scanning	Seattle, United States	contact only	Profile
5	HiddenLayer	Enterprises that want testing, model scanning and runtime protection together	Austin, United States	contact only	Profile

Selection criteria

How we decided which vendors qualify for inclusion.

Documented LLM security testing capabilities including prompt injection, jailbreak, or data leakage detection.
Automated vulnerability generation — not only manual testing toolkits.
Integration into CI/CD or development workflows.
Active development with features shipped in the 12 months preceding October 2026.

We reviewed each vendor’s product pages on October 15, 2026. We separate pre-deployment red teaming from runtime protection and note ownership: three of the five are now owned by Check Point, OpenAI and Palo Alto Networks. Ranking reflects automation depth, vulnerability coverage and integration flexibility. No vendor paid for placement.

The ranking

Lakera

Best for: Teams that want red teaming and runtime protection from one vendor

Full profile

Lakera is now owned by Check Point, which announced the acquisition in September 2025 and completed it in Q4 2025. It sells AI Red Teaming alongside its runtime products, AI Agent Security and Workforce AI Security. Its runtime figures are vendor claims: lakera.ai cites sub-50 ms latency, 100+ languages and a 0.01% production false-positive rate, while Check Point’s acquisition release said below 0.5%. Lakera says Gartner listed it as a GenAI TRiSM vendor in its 2024 Innovation Guide for Generative AI. No public prices; a free start is offered.

Strengths

Red teaming and runtime protection from one vendor.
Vendor-stated sub-50 ms latency and 100+ languages.
Now part of Check Point’s security portfolio.

Limitations

Contracts and roadmap now sit with Check Point.
No public prices; Lakera and Check Point quote different false-positive rates.

Framework coverage

EU Artificial Intelligence Act NIST AI Risk Management Framework

Promptfoo

Best for: Security teams running automated red teaming in CI/CD

Full profile

Promptfoo is now part of OpenAI (acquisition announced in March 2026), and its open-source tool remains MIT-licensed. It says 156 of the Fortune 500 and more than 300,000 developers use it, and that it covers 50+ vulnerability types. Beyond red teaming it now sells Guardrails, Model Security, an MCP Proxy and Code Scanning for IDEs and CI/CD.

Strengths

Open-source CLI (MIT).
Code Scanning for IDEs and CI/CD (commercial; access on request).
50+ vulnerability types.
Now also sells runtime guardrails and an MCP proxy.

Limitations

Owned by OpenAI; check its roadmap for testing other providers’ models.
Enterprise prices are not published.

Giskard

Best for: Enterprises testing conversational AI agents continuously

Full profile

Giskard runs continuous red teaming for AI agents, alongside agent evaluation and an Agent Guardrails module for runtime protection. Customer logos include Michelin, BNP Paribas, AXA and Decathlon. Its trust center lists GDPR and a SOC 2 Type II report, with HIPAA in progress, although its homepage describes HIPAA compliance (checked October 2026). Customers can choose EU or US data processing, and Giskard offers an open-source library. Prices are on a separate page; beyond the open-source library, free access is limited to a startup and small-team offer and a limited free trial of its Agentic Red Teamer.

Strengths

Continuous red teaming for agents, plus runtime guardrails.
EU or US data processing; SOC 2 Type II.
Open-source library.

Limitations

Prices are not shown on its homepage.
No free platform tier beyond limited trial offers.
HIPAA is listed as in progress on its trust center (October 2026).

Framework coverage

EU Artificial Intelligence Act SOC 2 (Service Organization Control 2)

Protect AI

Best for: Palo Alto Networks customers that also need model supply chain scanning

Full profile

Protect AI is now part of Palo Alto Networks (acquisition completed in July 2025) and is sold as Prisma AIRS, which includes AI red teaming, AI supply chain security (formerly AI Model Security), runtime security and an AI gateway. protectai.com redirects to Prisma AIRS, and Protect AI’s open-source LLM Guard was archived in July 2026.

Strengths

Red teaming plus model supply chain scanning in one platform.
Works with Palo Alto network and API security.

Limitations

Sold only as part of Prisma AIRS.
Best fit for existing Palo Alto customers.

HiddenLayer

Best for: Enterprises that want testing, model scanning and runtime protection together

Full profile

HiddenLayer combines AI attack simulation and red teaming with model scanning (malicious models, backdoored weights and vulnerable dependencies), runtime security, guardrails against prompt injection and data leakage, and protection for agents, MCP and coding agents. Its site headlines a $100 million Series B, without a date.

Strengths

Testing, model scanning and runtime protection in one platform.
Covers agents, MCP and coding agents.

Limitations

No public prices.
Little technical detail on its homepage; ask for documentation.

Framework coverage

EU Artificial Intelligence Act NIST AI Risk Management Framework ISO/IEC 42001:2023 AI Management System

Buyer guidance

Criteria-based recommendations for the most common shortlist scenarios.

Pick by what you need to test and whom you buy from. Promptfoo is the open-source default for red teaming in CI/CD. Giskard suits continuous testing of conversational agents. HiddenLayer and Prisma AIRS (Protect AI) add model supply chain scanning. Lakera, now Check Point, pairs red teaming with runtime protection. For runtime controls in production, see our [AI guardrails guide](AI guardrails).

What we did not include

Transparency about exclusions.

Arthur is not positioned as a red team tool; its security features are part of a broader LLM monitoring and guardrails platform. Patronus AI now describes itself as a research lab developing training data and simulated environments for frontier AI, so it is no longer a fit for this list.

Frequently asked

What is the difference between AI red teaming and AI monitoring?+

AI red teaming is proactive adversarial testing — deliberately attacking AI systems to find vulnerabilities before bad actors do. AI monitoring is continuous observation of deployed systems for anomalous behavior, policy violations, or performance degradation. Red teaming is periodic or CI/CD-integrated; monitoring is continuous.

Does the EU AI Act require AI red teaming?+

The EU AI Act does not mandate red teaming by name, but Article 9 requires high-risk AI providers to identify and evaluate foreseeable risks from misuse. GPAI model providers must conduct adversarial testing for systemic risk models under Article 55. NIST AI RMF and OWASP LLM Top 10 both recommend adversarial testing.

Sources

Keep reading

Guide

AI guardrails: what they are, how they work and which to use

What AI and LLM guardrails are, where they sit, what they catch and miss, what standards expect, and how open-source, c…

Last verified October 15, 2026

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