Real-Time, AI-Native Cyber GRC - Powered by MyRISK and Oracle
In October, Oracle AI Database 26ai introduced native vector storage, automatic vectorisation, and open enterprise data access, allowing AI workloads to run privately inside the database alongside governed transactional data. This significantly reduces architectural complexity while preserving data security, residency, and access controls.
At MyRISK, these capabilities power AI agents that perform real-time framework matching, control analysis, and risk data interpretation. Frameworks such as Essential Eight, NIST CSF, ISO 27001, and regulatory standards are vectorised in-database, enabling near-instant identification of equivalent requirements without manual cross-mapping.
Why MyRISK Matters: Aligned to Gartner’s View of Cyber GRC
The Gartner Innovation Insight: Cyber GRC Streamlines Governance report highlights a clear market shift: organisations are moving away from fragmented, point-in-time GRC approaches toward continuous control monitoring, real-time data integration, automated compliance, and cyber risk quantification. These are precisely the problems MyRISK was designed to solve.
MyRISK directly addresses Gartner’s findings around tool sprawl, siloed data, and the inability of boards and executives to gain a real-time view of cyber risk. Our platform and advisory model align with Gartner’s recommended direction for cyber GRC: connected data, framework cross-mapping, workflow automation, and business-aligned risk reporting. This strong alignment with Gartner’s global research agenda is driving growing international interest, particularly from organisations in the United States and the Middle East, where regulators and boards are accelerating investment in modern, AI-enabled cyber GRC capabilities. MyRISK is increasingly recognised as a practical response to a global problem.
Engaging Australia’s Critical Infrastructure Leaders at CyberCON
MyRISK attended CyberCON in October, where we hosted a dedicated stand and engaged with a wide range of organisations across critical infrastructure industries. Interest was particularly strong from operators responsible for nationally significant infrastructure, organisations managing complex asset portfolios under different regulatory regimes, and institutions supporting internationally regulated data and research environments.
Discussions consistently highlighted the challenge of maintaining consistent cyber compliance while responding to evolving regulatory expectations across multiple frameworks. MyRISK’s ability to automate recurring compliance activities and provide real-time, cross-framework visibility strongly resonated with attendees. CyberCON provided valuable confirmation of the growing demand for scalable, automated cyber GRC approaches that support enterprise-wide governance and asset-level assurance in highly regulated, mission-critical environments.
MyRISK Go8 University Partnerships
MyRISK works closely with leading Australian universities to bridge academic research and real-world risk practice. Our collaboration with the University of Queensland (UQ) includes enterprise wide control framework definition and policy development, supporting consistent, auditable governance across the institution. MyRISK also provides ongoing cyber security risk advisory to UNSW, including framework and policy enhancement, GRC process re-engineering, and AI-enablement. In March, we delivered guest lectures at QUT, sharing practical insights on AI-enabled risk, cyber governance, and the future of GRC.
MyRISK actively supports talent development through UNSW Work-Integrated Learning (WIL) and the University of Sydney Study Abroad Program, alongside ongoing engagement with the Western Sydney University Masters of IT Program, where students contribute to applied research and platform experimentation. In June, we participated as a panellist at the University of Wollongong, alongside distinguished Professors, discussing the application of AI in risk management and risks of AI.
These partnerships reflect our commitment to education, innovation, and applied impact – with more significant university collaborations to be announced shortly.
MyRISK Named Finalist in the 2025 Australian AI Awards for Cyber Innovation
MyRISK has been named a Finalist in the 2025 Australian AI Awards in the Cyber Innovation category, recognising our practical application of AI to modern cyber risk governance.
The nomination reflects MyRISK’s AI-native approach to cyber GRC, including the use of private, in-database AI powered by Oracle AI Database 26ai. By vectorising regulatory frameworks and control data directly within governed enterprise databases, MyRISK enables real-time framework matching, automated control analysis, and continuous risk insight—without exporting sensitive data to external AI services.
Recognition by the Australian AI Awards reinforces MyRISK’s position at the intersection of AI innovation, cyber security, and enterprise risk governance, and validates our focus on secure, auditable, and business-aligned AI for regulated environments.
What’s Next: R&D into AI-Enabled Cyber GRC
As cyber risk grows in scale and complexity, MyRISK’s R&D program is focused on moving beyond static, point-in-time compliance toward adaptive, continuously assured cyber governance. Over the coming year, our research and development efforts will concentrate on advancing real-time, decision-relevant cyber GRC built on secure, governed enterprise data.
A core R&D priority is the expansion of event-driven risk workflows, where changes in control state, security telemetry, and assessment activity are processed as transactional events. This enables dynamic recalculation of risk posture and compliance alignment, reducing dependence on periodic reviews and supporting faster, evidence-based risk decisions.
MyRISK will also continue experimental work in AI-assisted framework translation, control interpretation, and risk analysis, leveraging private, in-database AI capabilities to maintain auditability, explainability, and data residency. These experiments aim to validate whether regulated organisations can safely apply AI to complex regulatory mapping and control assurance without introducing new governance or security risks.
As regulatory expectations increase globally, our R&D remains focused on proving that enterprise-grade, private AI can be embedded directly into cyber GRC workflows – supporting scale, consistency, and trust. Ultimately, this research is directed toward helping boards, executives, and risk leaders gain clearer, more timely insight into cyber risk, transforming compliance from a reactive obligation into a reliable source of assurance and confidence.
Are you ready to transform your cybersecurity risk strategy?
Contact MyRISK today to see how we can help you stay ahead of cyber threats and compliance challenges.