AI Innovation

AI security built for the systems you're actually deploying

Retrofitting security onto an AI system after deployment is expensive, slow, and often ineffective. AnchorMesh builds threat modelling, controls, and assurance into AI systems from the design stage — so enterprise AI deployments are secure, auditable, and defensible from day one.

The landscape

The AI risk landscape.

Data leakage & model exposure

LLMs and AI systems trained on or connected to proprietary data carry real exfiltration risk. Without controls, a misconfigured AI system can surface sensitive data to the wrong users or external models.

Model misuse & prompt injection

AI systems deployed in customer-facing or internal workflows are vulnerable to manipulation. Adversarial inputs can override intended behaviour or extract confidential outputs.

Supply chain and third-party risk

Most enterprise AI deployments connect to external model APIs and tooling. Each integration is an attack surface that requires assessment, not assumption.

Compliance and regulatory exposure

AI regulation is accelerating across APAC jurisdictions. Deploying without a compliance posture creates audit risk, procurement friction, and potential liability.

Method

What we do.

  1. 01

    AI threat modelling

    Map the full threat surface of your AI system: data flows, model access points, API connections, and user interaction patterns. Produce a prioritised risk register before controls are designed.

  2. 02

    Security architecture review

    Assess existing or planned AI architecture against security standards. Identify gaps in access control, data handling, logging, and monitoring.

  3. 03

    Controls design & implementation

    Design and implement the security controls specific to AI systems — model access policies, output filtering, audit logging, and incident response runbooks.

  4. 04

    Penetration testing & red-teaming

    Test AI systems against adversarial scenarios: prompt injection, data extraction, model manipulation, and privilege escalation. Real attacks, not theoretical checklists.

  5. 05

    Assurance & audit readiness

    Produce the documentation, evidence packs, and governance artefacts needed for internal audit, procurement security reviews, and regulatory submissions.

Credentials

AnchorMesh holds an AI Security and Governance certification issued by Securiti, valid to 2028 — one of a small number of practitioners in APAC with a dedicated credential in this domain.

Audience

Who this is for.

Enterprises deploying AI into customer-facing or regulated workflows.

Procurement and legal teams assessing vendor AI risk.

Technology and security leaders preparing for board-level AI risk reporting.

Engagement options

Two ways to engage.

Security Sprint

4–6 weeks, threat model through controls design, fixed scope.

Ongoing Security Advisory

Retainer-based, continuous assurance across evolving AI deployments.

Secure your AI before it ships.

Speak with a senior operator about your AI security posture.

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