AI/LLM Security Assessment tests LLM applications and infrastructure for prompt injection, data poisoning, and model extraction risks.
The engagement combines hands-on penetration testing of LLM endpoints and application integrations with red-team exercises that probe user interactions, guardrails, content moderation, and model behavior. Consultants test for prompt injection, model extraction, data poisoning, resource exhaustion, and supply-chain compromise across an organization's AI systems.
Assessments cover application-layer penetration testing, cloud infrastructure review, and adversary emulation, and can be delivered independently or combined for full-spectrum evaluation of an AI deployment. Each engagement is tailored to the client's environment, maturity level, and risk profile, producing remediation guidance for identified weaknesses.
| Attribute | AI/LLM Security Assessment | Professional Services | |
|---|---|---|---|
| Provider |  |  | |
| Founded | 2005 | 2022 | |
| Pricing Model | Recurring | Recurring, Software | |
| Ownership | Venture-backed | Venture-backed |
Provider
Founded 2005
Pricing Model Recurring
Ownership Venture-backed
Provider
Founded 2022
Pricing Model Recurring, Software
Ownership Venture-backed
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