Capture the upside of AI without inheriting new categories of risk.

Senior, hands-on advisory for organisations rolling out AI, large language models, and AI-powered products, across governance, security, privacy, and compliance.

AI is moving through organisations faster than almost any technology in the last decade. Employees are using generative AI to draft documents, write code, and summarise customer data. Product teams are embedding large language models into features that touch real users. Vendors are shipping “AI-powered” add-ons to tools you already own. And most of this is happening before governance, security, and legal have a seat at the table.

Sekure Vision helps you say yes to AI faster, not slower, by putting practical guardrails in place. We translate the AI risk conversation into something your executive team can actually decide on, and we build the program that lets your operators, engineers, and end users move forward with confidence.

What we help you answer

Most AI security conversations stall because the questions are too abstract. We help you get concrete, fast.

• Which AI tools are our people actually using right now, sanctioned and unsanctioned?
• What data is leaving our environment when they use those tools, and under which terms?
• Where are we embedding AI into products and processes, and what happens when the model gets something wrong?
• Which regulations, contracts, and customer commitments apply to our AI use cases?
• What does “good enough” look like for our first AI governance policy, and how do we make it stick?
• How do we evaluate AI vendors before signing, not after?

Our AI Security and Governance services

We deliver across the full lifecycle, from discovery through to ongoing assurance. Engagements are scoped tightly and led by a senior practitioner from start to finish.

AI risk assessment

A structured review of how your organisation is using AI today and where it is heading next. We map your AI footprint (sanctioned tools, shadow tools, embedded features, internal models), identify the use cases that carry material risk, and produce a prioritised set of recommendations your leadership team can act on. The output is a clear picture of what is safe, what needs attention, and what should stop.

AI governance framework and policy

An AI usage policy is not a one-page document telling staff to “be careful”. We build governance frameworks that define acceptable use by risk tier, set guardrails for customer data and intellectual property, establish approval paths for new AI tools and vendors, assign clear ownership, and align with international standards including ISO 42001, the NIST AI Risk Management Framework, and Australia’s AI Ethics Principles. The result is a policy people will actually read and a program your board can defend.

Large language model security

Hands-on technical work across the LLM stack. We cover prompt injection and jailbreak testing, sensitive data leakage prevention, retrieval augmented generation (RAG) architecture review, API and key management, access controls, logging and monitoring, and incident response for model misuse. If you are building AI features into your own products, we also help you thread the security work through your software development lifecycle so it does not become an afterthought.

AI vendor and model due diligence

Vendor security reviews for the AI tools you are evaluating or already using. We assess data handling, training data provenance, model transparency, security posture, contractual protections, and alignment with your risk appetite. You get a clear recommendation, a list of concrete risk mitigations, and a set of contract clauses to request before signing.

Privacy and compliance alignment

AI use cases intersect with privacy and compliance in ways that are easy to miss. We check your AI adoption against GDPR, the Australian Privacy Act, HIPAA, and sector rules such as APRA CPS 234, PCI DSS, and SOC 2 where relevant. We run privacy impact assessments on high-risk AI use cases and document the control story regulators and auditors will ask about.

Workforce enablement and training

Your people are the most important part of any AI governance program. We run practical enablement sessions for executives, managers, and operators that cover what AI can and cannot do, how to use it safely, which decisions still need a human in the loop, and how to spot the common failure modes. No fear-based slide decks. Just clear guidance that helps your team get more out of AI without tripping the wires.

Why Sekure Vision for AI governance

AI governance is a brand new discipline for most organisations, and the advice out there ranges from “ban everything” to “move fast and hope”. Neither is a real strategy.

• Senior practitioners only. Every engagement is led by someone who has done the work inside a real organisation, not a graduate running through a template.
• Practical, not theoretical. Our policies get adopted because we write them for humans, not auditors. We test every recommendation against the question “will a busy operator actually do this?”
• Standards-aligned, standards-agnostic. We work with ISO 42001, the NIST AI Risk Management Framework, the EU AI Act, Australia’s AI Ethics Principles, and OECD guidance, but we do not force your program into any single framework. We pick the pieces that serve your business.
• Built for speed. Most organisations we work with have weeks, not quarters, to put meaningful guardrails in place. Our engagements are scoped to match.
• Boutique by design. No offshore teams. No handoffs. The practitioner you meet on the first call is the practitioner you work with through delivery.

Ready to put real guardrails around AI?

Whether you are just starting to think about AI governance or already deep into rolling out AI features, a short conversation is usually enough to figure out the right next step. Schedule an intro meeting with Tarun Jain and bring whatever questions you have. No pitch, no sales sequence, just an honest conversation about what good looks like for your organisation.