AI Security · Cybersecurity Assurance · IT Audit · GRC

Securing Intelligence. Building Trust.

AI security, cybersecurity assurance, technology risk and governance services for organizations navigating complex digital threats and regulatory expectations.

Four practicesAI Security Labs, Consulting, Professional and Managed Services
Framework-referencedOWASP, MITRE ATLAS, NIST, ISO and regional regulations
Authorized testing onlyWritten scope and rules of engagement before any test
AI system under security test An AI agent connected to a language model, a retrieval pipeline, tools and MCP servers, and enterprise data, all inside a guardrail boundary, with a red-team harness probing the agent. TRUST BOUNDARY · GUARDRAILS · POLICY Red-team harness Foundation model LLM · prompts RAG pipeline vector store · ACLs Tools & MCP APIs · permissions Enterprise data PII · secrets · records AI agent under test
Client challenges

The problems we are typically asked to solve.

  • "We are deploying AI, but nobody has tested how it can be abused."

    We assess LLM applications, RAG pipelines and agents for prompt injection, data leakage and unsafe tool use, then help your engineers fix what we find.

    AI Security Labs
  • "An audit or regulatory deadline is approaching and our evidence is scattered."

    We confirm which requirements apply, assess controls against evidence, and build a prioritized remediation and evidence plan.

    Regulatory compliance
  • "Our auditors keep raising the same ITGC findings."

    We review access, change and operations controls, test them the way auditors do, and help control owners close the gaps.

    ITGC testing
  • "We need security leadership, but not a full-time CISO yet."

    Virtual CISO advisory gives you a governance cadence, risk register and board reporting without a permanent hire.

    Virtual CISO
  • "Customers and partners ask for proof of our security posture."

    We prepare you for ISO certification, SOC 2 or customer assessments, so independent auditors find working controls and complete evidence.

    ISO advisory
Spotlight · AI Security Labs

AI systems need security testing designed for AI.

Attackers rarely target the model alone. They exploit the content it trusts, the tools it can call and the data it can retrieve. Our assessments follow those paths end to end, under written authorization.

Explore AI Security Labs

AI red teaming & LLM assessments

Direct and indirect prompt injection, jailbreak resilience, system prompt leakage and sensitive information disclosure.

Agentic AI security

Tool and permission misuse, MCP integrations, delegation chains and the trust boundaries between agents and enterprise systems.

RAG security

Retrieval access control, poisoning and cross-tenant leakage.

AI supply chain

Model, plugin, dataset and integration risk.

AI governance

AI inventory, risk classification and ISO/IEC 42001.

Industries

Built for regulated, high-dependency environments.

Industry detail

Banking & financial services

IT governance directions, cyber resilience frameworks and secure AI in customer channels.

Fintech

Evidence for bank partners and regulators, without slowing delivery.

Data centers

ISO 27001 and 22301 programmes, segmentation testing and customer assurance.

Cloud & technology

Product AI security, SOC 2 readiness and multi-tenant data isolation.

Healthcare

Protection of sensitive health data and resilience against disruption.

Manufacturing

IT/OT segmentation, identity hardening and continuity planning.

Mid-market enterprises

Right-sized governance and vCISO support as security matures.

Large enterprises

Multi-country compliance mapped to one control set.

Engagement methodology

How an engagement runs.

Every engagement has a written scope, named deliverables and a clear end point. Work is offered as a fixed-scope assessment, a defined project or an ongoing retainer.

  1. Scope

    A short call to understand your objectives, environment, deadlines and constraints, followed by a written proposal.

  2. Assess

    Interviews, evidence review and technical testing against the agreed frameworks.

  3. Remediate

    Findings ranked by business impact, with practical fixes and implementation support.

  4. Assure

    Retesting, reporting for leadership and auditors, and an optional ongoing cadence.

How we work

Commitments you can hold us to.

We would rather earn trust through how we work than through claims. These commitments appear in every proposal.

Written authorization

No testing starts without signed scope, environments, timings and stop conditions.

Traceable methodology

Findings map to public references such as OWASP, MITRE ATLAS, NIST and ISO controls.

Clear boundaries

Readiness work is not certification. Where a formal audit or attestation is needed, we say who must perform it.

Evidence-based reporting

We report validated findings with evidence, and state what was out of scope or not tested.

Confidential handling

Client data and test evidence stay need-to-know and are deleted as agreed.

No inflated claims

We do not list clients, certifications or partnerships on this site unless they are verified and approved.

Start with a scoping conversation.

Tell us about your AI systems, audit timeline or regulatory obligations. We will come back with questions and a proposed scope, with no obligation.

Request a Consultation