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First, the Innowise team aligns on goals, in-scope AI use cases, timelines, and data handling rules. As a result, you get a simple access checklist and a clear working cadence from the start.
Next, our experts map what you actually run: models, datasets, prompts, APIs, pipelines, tools, and vendors. This step makes ownership clear and shows where data crosses trust boundaries.
AI security consultants model threats like prompt injection, data leakage, model theft, and poisoning. Then we rank risks by impact and likelihood to set priorities for you.
Our team reviews architecture, CI/CD, secrets, IAM, environments, and change control. Weak points across the pipeline and runtime are translated into concrete fixes you can apply.
Our specialists test how models behave under prompt injection, misuse paths, input fuzzing, and API abuse. You get confirmed scenarios, expected impact, and guardrails.
AI security consultants trace data lineage in training and inference, then review access and retention. So, you get GDPR-aligned controls and the evidence you need for reviews.
For audits and procurement, our team connects the dots to GDPR, the EU AI Act, and NIST AI RMF. You receive a control matrix and an evidence list that keeps reviews short and focused.
Our work ends with a prioritized roadmap that names owners, milestones, and dependencies. Templates, playbooks, and workshops help your team execute without hunting for context later.
| Starter | Standard | Enterprise | |
|---|---|---|---|
| Best for | SMB, limited scope | Mid-market | Large, regulated |
| Scope snapshot | Up to 2 models, single environment, concise deliverables, compact remediation roadmap | Up to 5 models, multi-environment review, full threat modeling, compliance mapping, workshop | Extensive model estate, multi-cloud, regulated data (health, finance), deep testing, audit artifact preparation |
| Timeline | ~4 to 5 weeks | ~6 to 8 weeks | ~8 to 12+ weeks, modular delivery |
| Illustrative price range | $20,000 to $45,000 | $65,000 to $130,000 | $160,000+ |
AI security work requires confidence on every front. Our consultants run a structured engagement with defined outputs and checkpoints, so risk drops, audits move faster, and releases stay on track
Innowise has found high-quality resources that fit well within their assigned internal teams. They had the resources ready to start in a short period. The team offers responsive and personable project management. Moreover, they're proactive and don't overpromise.
Innowise has completed many projects and consistently performs well on its tasks. Their results-driven approach allows them to quickly scale their efforts depending on the required deliverables.
High seniority, high proactivity and high work independence and reasonable price. Really great people.
AI introduces risks that standard security reviews miss. Prompt injection, data leakage through logs, and model misuse can snowball into incidents and compliance exposure. AI security consulting helps you spot those risks early and put controls in place before launch.
An AI security consultant maps how your AI feature uses data, who can access models, and how requests run in production. They test realistic abuse scenarios, then structure findings into a prioritized fix list with concrete controls your team can implement.
General cybersecurity focuses on identities, infrastructure, and application security basics. AI security consulting focuses on the AI layer, including prompts, model interfaces, training data, RAG pipelines, and agent actions. The controls target AI workflows and support compliance evidence for rules like GDPR and the EU AI Act.
It’s best to bring in an AI security consulting firm during the design or early build phase, before your team finalizes data sources and architecture. So, you can avoid extra work and late-stage problems. Even if your system is already live, consulting can help you check controls, fix gaps, and lower the risk of incidents.
No. Effective AI security consulting is designed to work alongside your development process, not hinder it. A good consultant will integrate reviews and recommendations into your project timeline, so you can fix issues in parallel with development.
