Situation: Your organisation is deploying AI across multiple departments, from off-the-shelf tools to custom pipelines built into core operations.
Problem: Traditional cybersecurity audits are not built to catch AI-specific risks such as prompt injection, data poisoning, or training data leakage, so these blind spots go undetected.
Implication: Leadership operates with a false sense of security while critical AI systems run effectively unmonitored, exposing the business to regulatory, financial, and reputational risk.
Deliverable: Our AI Gap Analysis assesses your entire AI lifecycle against NIST AI RMF, ISO/IEC 42001, the EU AI Act, and OWASP standards, delivering an evidence-based gap matrix and a prioritised 30-90-360 day remediation roadmap.
Situation: Staff are likely already using unapproved AI tools to manage their daily workloads.
Problem: Management has no visibility into what data is being shared or which tools are in use, creating a significant blind spot in corporate security.
Implication: Without that visibility, passing a security audit becomes impossible, and the door stays open to a data breach that proper oversight could have prevented.
Deliverable: Our AI Gap Analysis includes a formal Third-Party AI Risk Inventory, auditing vendor tools and integrations so unsanctioned usage can be brought under governed, approved control without slowing your team down.
Situation: Laws such as the EU AI Act, alongside evolving NIST and ISO standards, are creating a complex web of requirements for businesses.
Problem: Most organisations lack the specialist legal and technical knowledge to interpret how these frameworks apply to their specific AI use cases.
Implication: Non-compliance carries penalties of up to 7% of global annual turnover, along with the risk of forced decommissioning of live AI systems.
Deliverable: Our AI Governance service builds your organisation’s compliance baseline against ISO/IEC 42001, the NIST AI RMF, and EU AI Act risk classification, translating these requirements into a clear enterprise policy suite and RACI oversight matrix.
Situation: You may feel that because you aren’t building AI systems from scratch, formal oversight doesn’t apply to you.
Problem: If employees use AI for reporting, coding, or customer service, the business is already AI-enabled, but often without any safety net in place.
Implication: Without a strategy, the organisation is exposed to algorithmic bias or hallucinated outputs that can lead to discriminatory decisions or professional negligence claims.
Deliverable: Our AI Governance service creates a right-sized policy suite and oversight structure for your organisation, including board and C-suite risk briefings that keep leadership accountable without slowing the business down.
Situation: You are moving AI from pilot projects into live, production environments.
Problem: AI systems introduce vulnerabilities, such as prompt injection and vector database exposure, that standard web application firewalls and legacy endpoint security cannot detect.
Implication: A successful attack could force your AI to leak customer data, take unauthorised actions, or expose proprietary intellectual property.
Deliverable: Our AI Secure Architecture service engineers Zero Trust boundaries, guardrail layers, and threat-modelled API gateways, mapped against OWASP Top 10 for LLMs and MITRE ATLAS adversary techniques, so your systems remain auditable and resilient by design.
Situation: Security teams are often forced into constant firefighting, patching individual gaps as they emerge.
Problem: Without a structured, multi-year plan, budgets get drained on overlapping point solutions rather than foundational capabilities, and CISOs struggle to justify spend to the board.
Implication: This fragmented approach accumulates technical debt, stalls digital transformation, and creates ongoing friction between security teams and the business.
Deliverable: Our AI Security Roadmap sequences your security transformation into a 12-to-36-month plan across three phases, immediate stabilisation, governance and architecture, and governed scale, mapped to business KPIs with a board-ready investment case.