The Challenge

At the core of Indara's operations sits a vast portfolio of high-value digital engineering assets that represents the intellectual and operational foundation of the organisation. As Indara accelerated its digital transformation and explored AI-driven productivity tools, a critical tension emerged. The information protection posture had not evolved to match the risk profile of AI adoption. Sensitive information assets sat unclassified and unprotected, with limited visibility into what was sensitive, critical, or regulated, and no controls that persisted beyond the network boundary.

The Outcome

An immediate reduction in data leakage risk across Indara's digital asset portfolio, with centralised, auditable policy management across every site and system. A trusted, governed platform from which AI could be safely enabled, with AI tools operating within clearly defined data boundaries, seeing only what they were authorised to access, and with every interaction logged and auditable. Just like a well-oiled machine, Indara's people, processes, and technology are now in unison around responsible AI usage, ensuring that the ambition to accelerate Australia's digital future is matched by the governance foundations required to do so safely and sustainably.

What Storata Did

Storata embedded information protection directly into the content lifecycle during Indara's cloud migration, ensuring governance was in place before a single AI tool was enabled. Sensitivity classification was applied at scale across the business. Access controls were built to persist beyond the network boundary, so critical infrastructure documentation remained protected whether accessed internally, shared with contractors, or used through cloud collaboration tools. Data Loss Prevention was enforced in real time across cloud services, endpoints, and user activity. Machine learning classifiers were trained to recognise infrastructure-specific content and apply protection automatically across the data estate. An organisation-wide Responsible AI education program ensured Indara understood not just how AI tools would be used, but where the guardrails were.

Immediate reduction in data leakage risk

Sensitive engineering and infrastructure assets became discoverable, classifiable, and governed by consistent, auditable policies. Data Loss Prevention is now enforced in real time across cloud services, endpoints, and user activity, with machine learning classifiers trained to recognise infrastructure-specific content and apply protection automatically.

Cloud migration without compromising control

Indara migrated to cloud while strengthening, rather than weakening, sovereignty over its critical digital assets. Access controls persist beyond the network boundary, protecting infrastructure documentation whether accessed internally, shared with contractors, or used through cloud collaboration tools. Full visibility and centralised audit capability across every site and system.

A trusted platform for AI adoption

With governance foundations established first, Indara could safely initiate AI proof-of-concept projects. AI tools now operate within clearly defined data boundaries, see only what they are authorised to access, and every interaction is logged and auditable. A platform built to scale AI adoption without scaling AI risk.

Cultural and policy alignment around responsible AI

An organisation-wide Responsible AI education program aligned Indara's people, processes, and technology around safe and responsible AI usage. People, process, and policy now operate in unison, ensuring long-term sustainability rather than short-term experimentation.