| Service | Typical Duration | Starting From |
|---|---|---|
| One-Time AI Security Assessment | 1–2 weeks | $5,000 |
| Focused AI Red Team Engagement (Single AI Application) | 2–4 weeks | $10,000 |
| Comprehensive AI Red Team Engagement (Multiple AI Applications or Enterprise AI Environment) | 4–8 weeks | $30,000 |
| Continuous AI Security Testing | Ongoing/Monthly Subscription | Custom Quote |
| AI Security Consultation | Hourly | From $250/hour |
| Enterprise AI Red Team Engagement | Based on Project Scope | Custom Quote |
One-Time AI Security Assessment
A one-time evaluation of your AI application to identify security risks, vulnerabilities, and potential attack paths before they can be exploited.
Focused AI Red Team Engagement
An in-depth security assessment of a single AI application, such as a chatbot, AI agent, AI copilot, or LLM, using realistic attack scenarios to evaluate its resilience.
Comprehensive AI Red Team Engagement
A comprehensive assessment of multiple AI applications, integrations, and business workflows to identify vulnerabilities across your AI environment.
Enterprise AI Red Team
A tailored security engagement for large organizations with complex AI ecosystems, multiple AI systems, and enterprise integrations, designed to evaluate AI security at scale.
Continuous AI Security Testing
An ongoing security service that continuously tests your AI systems as they evolve, helping identify new vulnerabilities, validate security improvements, and maintain long-term AI resilience.
AI Security Consultation
Expert guidance for organizations seeking advice on AI security, risk management, AI adoption, architecture review, governance, and best practices to help build and maintain secure AI systems.
What Affects Pricing
Every AI environment is unique, and pricing is determined by the complexity and scope of the engagement. Factors that may influence the cost include:
Number of AI Systems
Testing multiple AI models, chatbots, copilots, or AI agents requires additional assessment time and broader security coverage.
AI Integrations
AI systems connected to APIs, databases, cloud platforms, business applications, or third-party tools require more comprehensive security testing.
Scope of Testing
The depth of the assessment—including prompt injection, jailbreak testing, AI agent security, API testing, authorization testing, and data leakage testing—affects the overall engagement.
Complexity of the AI Environment
Enterprise AI deployments with multiple AI applications, workflows, and interconnected systems require more extensive testing than a single AI application.
Compliance Requirements
Organizations requiring assessments aligned with security and regulatory frameworks, such as NIST AI RMF or other industry standards, may require additional documentation and validation.
Project Timeline
Expedited engagements with accelerated delivery timelines may require additional resources and may be subject to higher fees.
Cybersecurity vs. AI Red Teaming
Traditional cybersecurity protects an organization’s networks, servers, applications, endpoints, and infrastructure from cyber threats such as malware, ransomware, phishing, and unauthorized access.
AI Red Teaming focuses on the security of Artificial Intelligence systems. Rather than testing networks or servers, it evaluates how attackers can manipulate AI models, bypass safeguards, extract sensitive information, abuse AI agents, or exploit AI-powered applications.
| Traditional Cybersecurity | AI Red Teaming |
|---|---|
| Protects networks and infrastructure | Protects AI systems and applications |
| Identifies software and infrastructure vulnerabilities | Identifies AI-specific vulnerabilities and attack paths |
| Tests servers, applications, and endpoints | Tests chatbots, LLMs, AI agents, and AI copilots |
| Focuses on cyber threats | Focuses on AI threats and adversarial attacks |
| Evaluates system security | Evaluates AI behavior, resilience, and trustworthiness |
Why AI Red Teaming Matters
As organizations increasingly rely on Artificial Intelligence, traditional cybersecurity alone is no longer enough. AI systems introduce new attack vectors that require specialized testing and expertise.
AI Red Teaming helps organizations identify AI-specific risks before they can be exploited, improving the security, resilience, and reliability of AI-powered applications.
For organizations deploying AI, AI Red Teaming complements existing cybersecurity programs by addressing threats that traditional security assessments are not designed to detect.
AI Services
| Service | Starting From | What’s Included |
|---|---|---|
| AI Penetration Testing | $4,500 | AI vulnerability assessment, prompt injection testing, jailbreak testing, API security testing, access control review, risk analysis, technical report, and remediation recommendations. |
| AI Deepfake Risk Assessment | $3,500 | Deepfake exposure assessment, voice cloning risk analysis, executive and employee impersonation review, identity protection assessment, security recommendations, and final report. |
| Agentic AI Security | $5,000 | AI agent security assessment, identity and access control review, API and integration security, data protection review, governance assessment, technical report, and remediation guidance. |
| AI Integration Services | $6,000 | AI integration planning, workflow automation, API integration, deployment support, testing, documentation, user training, and post-deployment support. |
Every project is tailored to your organization’s requirements. Pricing may vary based on project scope, complexity, number of AI systems, integrations, and deployment environment.
