Managing Risk Across the Full AI Lifecycle
Our AI Risk Assessment service enables organizations to identify, analyse, and prioritise risks across the full AI lifecycle, ensuring AI-related risks are clearly understood, documented, and managed within the context of existing enterprise risk frameworks.
This service is designed to support both new and existing AI deployments, providing a consistent and repeatable approach to AI risk identification and management.
The Importance of an AI Risk Assessment
AI systems introduce a range of complex and interdependent risks that are often not fully addressed by traditional risk management approaches, including:
- Model Risks – bias, lack of explainability, model drift, and adversarial manipulation
- Data Risks – data quality issues, leakage of sensitive information, and integrity concerns
- Security Risks – exposure to new attack vectors targeting AI models and pipelines
- Operational Risks – unintended consequences of automated decision-making and system failures
- Regulatory Risks – misclassification or non-compliance with emerging AI regulations
Without a structured assessment, these risks can remain unidentified or underestimated, leading to potential regulatory breaches, operational disruption, or reputational damage.
What to Expect From an AI Risk Assessment
Bridewell delivers a comprehensive and prioritised view of AI risk, including:
What Are the Benefits of an AI Risk Assessment?
Organization‑Wide Visibility of AI Risk
Clear insight into AI‑related risks across models, data, systems, and use cases.
Alignment with Existing Risk Frameworks
Integration of AI risk into existing enterprise risk management structures.
Better, Risk‑Informed Decision Making
Improved ability to make informed, risk-based decisions on AI deployment.
Reduced Operational, Regulatory, and Reputational Impact
Reduced likelihood of operational, regulatory, or reputational incidents.
Executive and Board‑Level Assurance
Enhanced confidence for executive and board-level stakeholders.
Start Your AI Risk Assessment Journey
Speak with one of our experts to see how we can support your organization.
How it Works
Our methodology integrates established risk management practices with AI-specific considerations:
- Scoping & Stakeholder Engagement – Understanding AI systems and business context
- Risk Identification Workshops – Collaborative identification of risks across domains
- Technical & Process Analysis – Deep-dive assessment of AI components and controls
- Risk Scoring & Prioritization – Applying structured risk evaluation criteria
- Reporting & Integration – Delivering outputs aligned to enterprise risk frameworks
See How We've Helped our Customers
Why Us?
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300+ Security Specialists
Our team have diverse experience across sectors and disciplines, and hold accreditations from numerous industry bodies.
Certifications
Our people and services are highly accredited by leading industry bodies including CREST and more. Our SOC holds extensive accreditations from CREST (including for CSIR and SOC2) and works closely with our cyber consultancy services.
Partnerships
As a Microsoft Partner, we also hold advanced specialisms in Cloud Security and Threat Protection. We’ve also implemented some of the largest deployments of the Microsoft Security stack, inc. Sentinel, Defender, Purview and more.
