AI red teaming cost and pricing in 2026

The short answer

Based on vendor-published figures, a scoped test of one LLM application runs from about $6,000 to $50,000. One vendor puts Big Four pricing at $40,000 to $150,000 or more. Complex agentic systems and enterprise programs with a platform plus services run into six figures a year. Open-source tools and free tiers cost nothing to license, but not nothing to run.

Read these numbers with care. Every engagement range on this page comes from a vendor's own blog. Vendors have a reason to frame prices in their favor, and none of these figures has been audited. We have labeled each one. Use them to sanity-check quotes, not to set a budget alone.

How vendors charge

Repello AI, a red teaming vendor, describes five pricing models in a May 2026 post (Repello):

1. Per engagement, often called red team as a service. A fixed scope, a fixed fee, one report.
2. Annual platform license per AI asset, priced by the number of models, apps or agents under test.
3. Per test, usage based, priced by scans or probes.
4. Hybrid: a platform plus expert services, usually on an annual contract.
5. Freemium: a free tier with paid upgrades for volume, features or support.

Expert Insights' roundup, updated 4 November 2026, lists most platforms it covers as custom pricing, including Adversa, General Analysis, HiddenLayer, Mindgard, Pillar, Zscaler (SPLX), Giskard and Confident AI (Expert Insights). That matches what we see: you get a number after a scoping call.

Published engagement price ranges

Repello also says its own deals run $40,000 to $200,000 in the first year. The two vendors' figures do not line up neatly, which is normal. SecurityWall prices a single engagement. Repello's first-year figures bundle platform and services. Ask every vendor which of the two you are being quoted.

Platform pricing and free tiers

• Promptfoo. The Community tier is free and caps red teaming at 10,000 probes a month. Enterprise and on-premises tiers are custom priced (Promptfoo pricing, checked 9 November 2026). OpenAI announced it would acquire Promptfoo in March 2026; see our open-source tools guide for what that means.
• Enkrypt AI. Expert Insights reports a free tier, a Launch plan from about $134 to $149 a month and a Scale plan at about $1,349 a month (Expert Insights, aggregator; we have not confirmed these on the vendor's own site).
• Lakera Red. Expert Insights lists a free tier with paid plans by quote. Lakera is now part of Check Point (see who owns whom).
• Open source. garak, PyRIT, DeepTeam and the open-source Promptfoo CLI cost nothing to license. Your costs are model API calls, compute and the engineering time to configure tests and triage results.

A free tier is enough to run a baseline scan before you talk to a vendor. That scan also makes vendor scoping calls shorter and quotes sharper.

Bug bounty payouts for AI

Bounties are a different price model: you pay per valid finding. These are the published top payouts we could source.

For scale, HackerOne reported $81 million in total bounty payouts across its platform in its 2025 report, with 1,121 programs including AI in scope, up 270% (HackerOne, October 2025). Bounties work for products already in production with a large attack surface. They are a poor fit before launch, when you need a scoped test and a report you can show an auditor.

What drives the cost

These are the levers that move a quote, roughly in order of impact.

1. System type. SecurityWall says a chatbot costs about 3 to 5 times less to test than a multi-agent system (vendor blog). Agents add tools, memory and permissions, and each tool is a new path to test.
2. Retrieval. SecurityWall says RAG adds about 20 to 40%. Every content source the model reads is a channel for indirect prompt injection and needs its own test cases.
3. Number of tools and integrations. An agent with read-only search is a small scope. One that can send email, issue refunds and run code is a large one.
4. Domain experts. Testing for medical, financial, legal or CBRN harms needs specialists. For scale: OpenAI's bio red teamers filed 46 potential jailbreaks in about 380 hours, roughly 8.2 hours per report (GPT-5 system card).
5. Languages and modalities. Each extra language, image input or voice channel multiplies the test set.
6. Compliance documentation. SecurityWall says mapping findings to a framework for auditors adds about 15 to 25%.
7. Human vs automated mix. NIST notes AI-led red teaming can be more cost effective than human red teamers alone (NIST AI 600-1). Automation-only work is cheaper but misses the chained, contextual attacks that matter most.
8. Retest. Microsoft recommends retesting on the production endpoint after mitigations (Microsoft Learn). Ask whether it is included or billed separately.
9. Provider type. Big Four, AI specialist, boutique pen test shop or crowd platform. In the published ranges above, Big Four bands run about three to four times the boutique bands.

Worked budget example

This is arithmetic, not a quote. We apply the vendor-published percentages above to the vendor-published specialist range. We assume the RAG and compliance uplifts stack by multiplication, which is our assumption, not the source's. Real quotes will differ.

Scenario. A mid-size company launches a RAG support assistant over its help center and ticket history. It needs a pre-launch test from an AI security specialist and findings mapped to the OWASP LLM Top 10 and NIST AI 600-1 for its audit file.

Compare that with Repello's illustrative first-year figure for a RAG system, $60,000 to $120,000, which includes a platform. The overlap, roughly $60,000 to $88,000, is where we would expect a specialist quote that includes retest and some continuous testing to land. That is our inference from two vendor sources, not market data.

The same arithmetic shows why scope is the biggest lever. Drop the compliance mapping and the low end falls to about $19,000. Add tool-calling agents and SecurityWall's 3 to 5 times multiplier for multi-agent systems moves you into Repello's $200,000-plus band.

How to get a quote you can compare

Vendors quote faster and tighter when you send the same scope sheet to each. Include:

• System type: chatbot, RAG, single agent, multi-agent, MCP servers in use.
• Every untrusted input channel: user chat, uploads, web, email, documents, tool results.
• Every tool the system can call and what permission each one has.
• Models used and whether you fine-tune.
• Harms that matter most for your business and any regulated domain.
• Languages and modalities.
• Frameworks the report must map to, and whether an auditor will read it.
• Test environment: staging with production-equivalent permissions, or production.
• Whether retest is required, and your launch date.

Then ask each vendor to split its quote into testing days, the human and automated mix, reporting and retest. Our vendor checklist covers what to look for in the answers.

How to avoid overpaying

• Run a free baseline first. An open-source or free-tier scan finds the obvious issues. Fix those before you pay experts to find them.
• Match the provider to the risk. A Big Four engagement makes sense when you need a name an auditor or board will recognize. It is rarely the best value for testing one chatbot.
• Pay for depth where the tools are. Spend expert hours on agents and tool permissions, where automated scanners are weakest and impact is highest.
• Insist on retest in the price. A report without a retest leaves you guessing whether the fixes worked.
• Do not buy "100% coverage". No red team can deliver it. A vendor that promises it is pricing marketing, not testing.

Market size, for context

Analyst estimates vary because their definitions vary. Dell'Oro (May 2026) says the AI systems security market, which includes AI validation and red teaming plus guardrails and agent security, will grow from near zero to nearly $8 billion by 2030 (Dell'Oro). Technavio (May 2026) projects the AI red teaming solutions market to grow by $6.69 billion over 2026 to 2030, a 25.1% CAGR (Technavio). Neither figure tells you what your test should cost. They do explain why so many security vendors have bought red teaming startups, which we cover in the vendor guide.

New to the topic? Start with what AI red teaming is, or check whether you are required to red team. Terms are defined in the glossary.

Prices are vendor-published or aggregator figures as of 9 November 2026 and may be out of date. This is general information, not procurement or financial advice.