AI is transforming how organisations operate, but without the right security and governance foundation, it also expands your attack surface and compliance exposure. We help you harness AI's potential without taking on unnecessary risk.
End-to-end AI advisory, from identifying use cases through to secure deployment, governance, and ongoing risk management.
Structured discovery workshops to identify where AI can deliver measurable value in your operations, and where it introduces risk that outweighs the benefit.
Design and implementation of AI governance policies, covering model selection, data handling, output validation, human oversight, and acceptable use, aligned to your regulatory environment.
Security review of your LLM deployments against OWASP LLM Top 10, covering prompt injection, data leakage, insecure plugins, training data poisoning, and supply chain risks in your AI stack.
Independent security and privacy evaluation of AI vendors and tools before procurement, reviewing data retention practices, model training terms, API security, and contractual protections.
Development of clear, enforceable AI acceptable use policies for your staff, covering approved tools, prohibited inputs, data classification rules, and the consequences of misuse.
Clear, jargon-free briefings for boards and leadership teams on AI risk, emerging regulation (EU AI Act, UK AI framework), and their governance responsibilities in an AI-enabled organisation.
AI risk is fundamentally different from traditional IT risk, it introduces probabilistic outputs, data lineage challenges, and novel attack vectors. Our AI risk assessments are structured against purpose-built frameworks developed specifically for these challenges.
The NIST AI Risk Management Framework provides a structured approach to identifying, assessing, and managing AI risks across the full lifecycle. We assess your AI systems across all four core functions and produce a maturity profile with targeted improvement actions.
Security-focused testing against the ten most critical LLM vulnerabilities, including prompt injection, sensitive information disclosure, insecure output handling, training data poisoning, and supply chain risks in your AI pipeline.
Classification of your AI systems under the EU AI Act's risk tiers (unacceptable, high, limited, minimal) and assessment of compliance obligations, including conformity assessments, technical documentation, and human oversight requirements.
The emerging international standard for AI management systems, covering risk assessment, governance structures, human oversight, and responsible AI practices. We assess readiness and support organisations pursuing certification.
AI systems fail in ways traditional software does not, from hallucinated outputs reaching customers to prompt injection attacks manipulating decisions. Our AI TTX sessions prepare your teams for these novel scenarios.
A user injects malicious instructions into your customer-facing AI tool, causing it to leak internal data or take unintended actions. Tests detection, response, and customer communication.
Your AI assistant confidently provides incorrect regulatory guidance to a client. Tests escalation procedures, liability assessment, remediation, and regulatory disclosure obligations.
A security researcher demonstrates that your LLM can be made to reproduce training data containing PII. Tests breach assessment, data subject notification, and GDPR obligations.
IT discovers staff have been using an unapproved LLM tool and uploading customer data. Tests your AI acceptable use enforcement, data recovery options, and notification responsibilities.
Organisations that adopt AI without a security and governance foundation are taking on risks that compound quickly, and that regulators are increasingly scrutinising.
Sensitive data entered into AI tools may be used for model training or accessible to third parties, breaching confidentiality obligations and GDPR.
Prompt injection attacks can cause AI systems to ignore safety guardrails, leak data, or perform unintended actions, attackers actively exploit these in production systems.
The EU AI Act, ICO guidance, and sector-specific regulators are actively developing AI oversight requirements. Non-compliance creates financial and reputational exposure.
Employees routinely adopt AI tools without IT or security approval, uploading customer data, proprietary information, and credentials into unvetted third-party systems.
Book a free consultation. We will discuss where you are on your AI journey, what risks you are carrying, and how to build a programme that drives real value, securely.