AI Security,
End to End

AI Risk Assessment

Comprehensive identification and quantification of risks across your AI ecosystem — models, data pipelines, inference infrastructure, and third-party integrations. Board-ready risk register with prioritised findings and remediation guidance.

LLM & GenAI Security

Harden large language model deployments against prompt injection, data exfiltration, jailbreaks, and model inversion attacks. We cover RAG pipelines, autonomous agents, tool-use scenarios, and multi-modal systems.

AI Red Teaming

Adversarial simulation by specialists who think like attackers. We probe your AI systems for failure modes traditional penetration testing misses — including model-specific attacks, adversarial inputs, and supply chain compromise scenarios.

AI Governance & Compliance

Navigate EU AI Act, ISO 42001, NIST AI RMF, NZ Privacy Act, and sector mandates. We build governance structures that satisfy regulators without blocking innovation, mapping controls to multiple frameworks simultaneously.

AI Security Maturity Assessment

Benchmark your organisation's AI security posture against our proprietary 5-stage maturity model. Detailed maturity score, honest gap analysis, and a prioritised roadmap with clear ownership and timelines.

AI Security Architecture Reviews

Expert design review of AI system architecture before you build — or after. We identify structural weaknesses, unsafe data flows, missing security controls, and misconfigured trust boundaries at every layer of your stack.

AI Security Governance

Build the internal structures, policies, roles, and accountability frameworks that keep AI development secure as you scale. Deliverables include model cards, risk thresholds, escalation protocols, and developer training programs.

AI Security Tooling Consultation

Cut through vendor noise. We evaluate and recommend the right AI security tooling for your stack — with zero vendor bias. Includes build-vs-buy analysis, integration complexity assessment, and ROI framing for budget conversations.

Unaware

No AI security policies. Ad-hoc AI adoption with no visibility into risks or controls.

Emerging

Basic awareness exists. Some controls in place but inconsistent and largely untested.

Developing

Formal governance emerging. Risk processes defined but not embedded into AI delivery.

Advanced

Mature controls, regular red teaming, integrated into SDLC. Measurable KPIs in place.

Optimised

Continuous improvement culture. Threat-led testing. Board-level AI risk visibility and reporting.

Find out your maturity level in a free 30-minute consultation.