Understanding Red Team Costs With Vynox

At Vynox Security, a full AI red teaming engagement typically takes 3–5 weeks because it includes threat modeling, attack-surface mapping, adversarial testing, exploit chaining, reporting, and retesting within scope. Focused AI and infrastructure penetration tests are commonly delivered in 5–15 business days. The final duration depends on the number of systems, integrations, objectives, and environments included in scope.

Red team costs are primarily shaped by the scope and depth of testing. Key factors include the number of AI systems or applications, LLM and RAG complexity, autonomous agent tool access, cloud and API integrations, testing environments, compliance requirements, and whether realistic multi-step attack scenarios are required. A broad Deep Secure adversarial exercise requires more time than a focused prompt-injection assessment.

A penetration test identifies vulnerabilities within a defined technical scope, such as an application, API, or cloud environment. AI red teaming simulates a determined adversary pursuing realistic objectives across the entire AI system, including LLMs, agents, pipelines, and connected tools. It emphasizes scenario-driven attack chains and demonstrates business impact, rather than only enumerating individual weaknesses.

Vynox Security offers transparent, stage-appropriate pricing rather than a single fixed price for every engagement. Red team scope can vary considerably based on deployment architecture, the sensitivity of data, number of attack paths, required assurance level, and reporting needs. A free 30-minute discovery call provides indicative pricing and timelines after the relevant AI and infrastructure attack surface has been reviewed.

AI red teaming includes threat modeling for the deployment context, attack-surface mapping across input channels, adversarial testing using known and novel techniques, and exploit chaining into realistic multi-step scenarios. Deliverables include board-ready reporting, technical findings, evidence, and SOC 2 or ISO 27001 evidence packs where relevant. Within-scope retests are unlimited for AI red teaming engagements.

Yes. Vynox Security maps findings to SOC 2 and ISO 27001 control evidence requirements and prepares assessor-ready evidence packs. AI red teaming can also support EU AI Act Article 15 adversarial-testing requirements for high-risk AI systems. Vynox is not an audit firm or certifying body, but the engagement provides security-testing evidence that can support audit and customer questionnaire processes.

Rapid Secure is designed for teams that need compliance-ready testing and fast turnaround, such as preparing for a customer security review or audit evidence request. Deep Secure is suited to organizations needing more comprehensive adversarial coverage, including AI red teaming. The appropriate option depends on your system maturity, risk profile, release stage, and whether you need focused assurance or end-to-end attacker simulation.

Yes. Vynox Security offers Penetration Testing as a Service (PTaaS) for continuous validation aligned with development sprints and model updates. The program covers AI systems and supporting infrastructure, tracks vulnerabilities through a dashboard, and can verify fixes the same day they are deployed to staging. This helps teams identify newly introduced risks between point-in-time assessments.