As organisations face growing technology risk from expanding AI systems, interconnected assets and changing regulatory requirements, identifying which changes require action is becoming an increasingly complex challenge. The 2026 research from Parker & Lawrence Research found that 60% of respondents rated AI-related technology risk as high or greater, highlighting the need for more connected and context-aware risk management.

As part of its research, Parker & Lawrence Research interviewed providers developing solutions to help organisations identify, assess and respond to emerging risks across their technology environments.

On this occasion, the firm spoke with Riskonnect, a provider of an Integrated Risk Platform that connects technology assets, controls, incidents, policies and regulatory requirements across the enterprise.

This forms part of The Demo Room series, which explores how technology providers are addressing significant risk and compliance challenges through their products and solutions, and this interview was part of the wider AI in Risk and Compliance 2026 report conducted by RegTech Analyst and Parker & Lawrence Research. To download the full report, click here.

Technology risk changes faster than many of the processes used to manage it. An organisation’s exposure can shift whenever a critical asset is modified, a dependency changes, a control fails, an incident occurs or a regulation is updated. Each development can affect the significance of other records across the business. Yet many risk assessments remain periodic exercises built around separate inventories, spreadsheets and manually maintained relationships.

The growing adoption of AI adds further complexity. Firms must map an expanding estate of models, data flows and third-party dependencies while accounting for risks that existing taxonomies may not adequately capture.

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