Webinar Description
Key Takeaways
- Examines findings from the 2026 Perforce Delphix data compliance report on enterprise risk behaviours
- Addresses data exposure risks in non-production environments during AI-driven development
- Explores why organisations make compliance exceptions despite awareness of breach risks
- Relevant to enterprise IT professionals, compliance officers, DevOps leaders and data protection specialists
- Covers industries including financial services, healthcare, automotive and software development
Introduction
The webinar “2026 Data Compliance Findings: Protecting Data in the AI Age” presents research from Perforce Delphix examining how enterprises manage data compliance as artificial intelligence reshapes development workflows. Designed for compliance officers, IT leaders and data protection professionals, the session addresses a persistent challenge in enterprise environments: maintaining regulatory compliance while operating at the speed that modern AI-driven development demands. The topic carries particular urgency as organisations increasingly adopt agentic AI systems that autonomously interact with data across development pipelines, introducing compliance considerations that traditional governance frameworks were not designed to address.
About This Event
Hosted by Perforce Delphix, this virtual webinar centres on the company’s latest compliance research, which reveals a significant gap between enterprise awareness of data risks and actual protective behaviours. The findings indicate that while most organisations express concern about data breaches and theft in non-production environments, the majority continue to make compliance exceptions rather than implementing comprehensive safeguards. The session brings together expert perspectives on why these exceptions occur and what practical steps organisations can take to close the gap between compliance intentions and operational reality.
The live format allows for direct engagement with the research findings and the specialists presenting them, offering attendees an opportunity to contextualise the data against their own organisational challenges.
Non-Production Environments as a Compliance Blind Spot
Production systems typically receive the most rigorous security attention, yet non-production environments—where development, testing and quality assurance occur—often contain copies of sensitive data with fewer protective controls. This creates substantial exposure risk, particularly as development teams require realistic data to build and validate software effectively. The tension between data fidelity for testing purposes and data protection for compliance purposes represents one of the central challenges the webinar addresses.
When organisations make compliance exceptions to maintain development velocity, they effectively accept elevated breach risk in exchange for operational speed. The Perforce Delphix research quantifies how widespread this trade-off has become and examines the organisational pressures that drive it. Understanding these dynamics is essential for compliance professionals seeking to implement controls that development teams will actually follow rather than circumvent.
AI Adoption and Evolving Compliance Risks
The integration of artificial intelligence into development workflows introduces compliance considerations that extend beyond traditional data protection frameworks. Agentic AI systems—those capable of autonomous decision-making and action—may access, process and move data in ways that are difficult to monitor using conventional governance tools. As these systems become more prevalent in enterprise environments, the attack surface for potential data exposure expands correspondingly.
The webinar explores how AI adoption amplifies existing compliance challenges while creating new categories of risk. Organisations that have not updated their compliance strategies to account for AI-driven workflows may find their existing controls inadequate for the data flows these systems generate. The session examines how enterprises can adapt their compliance postures to address these emerging requirements without abandoning the productivity benefits that AI adoption provides.
Balancing Compliance Requirements with Development Velocity
A recurring theme throughout the webinar is the false dichotomy many organisations perceive between compliance rigour and development speed. The research suggests that compliance exceptions often stem from a belief that proper data protection necessarily slows innovation. This perception drives risk-accepting behaviours even when organisations understand the potential consequences of data breaches.
The presenters challenge this assumption by examining how compliance can be integrated into DevOps workflows rather than imposed as an external constraint. When data protection becomes part of the development pipeline itself—through techniques such as automated data masking and continuous compliance monitoring—organisations can maintain both speed and security. The discussion addresses practical implementation considerations for teams seeking to embed compliance into their existing processes.
Industry Context and Regulatory Pressures
The compliance landscape continues to evolve as regulators respond to high-profile data breaches and the growing volume of sensitive information organisations collect and process. Industries such as financial services and healthcare face particularly stringent requirements, with substantial penalties for non-compliance. However, the proliferation of data protection regulations affects virtually every sector that handles personal or sensitive information.
For organisations operating across multiple jurisdictions, compliance complexity multiplies as different regulatory frameworks impose varying requirements on data handling practices. The webinar situates its findings within this broader regulatory context, helping attendees understand how the research applies to their specific compliance obligations. As AI governance frameworks mature and new regulations emerge specifically addressing automated systems, the intersection of AI adoption and data compliance will become increasingly consequential for enterprise risk management.
Who Should Attend
The webinar is structured for professionals responsible for data protection and compliance within enterprise environments. This includes compliance officers tasked with ensuring regulatory adherence, IT leaders managing infrastructure and security, DevOps practitioners building and maintaining development pipelines, and executives accountable for organisational risk posture. Product managers working on data-intensive applications will also find relevant insights for incorporating compliance considerations into their development processes.
The content is particularly applicable to organisations in regulated industries—financial services, healthcare, automotive and others handling sensitive data at scale. However, any enterprise grappling with the challenge of protecting data across complex development environments while maintaining competitive development velocity will find the research findings and strategic recommendations pertinent to their circumstances.
Practical Value for Compliance Strategy
Beyond presenting research findings, the webinar offers strategic guidance for organisations seeking to strengthen their compliance postures. The discussion addresses how to identify and remediate compliance gaps in non-production environments, how to evaluate the data protection implications of AI adoption, and how to build compliance into development workflows in ways that teams will sustain over time. For attendees facing pressure to accelerate development while maintaining data protection standards, the session provides a framework for navigating these competing demands.
The insights presented draw from Perforce Delphix’s experience in the compliance and test data management space, offering perspectives grounded in practical implementation rather than theoretical frameworks alone. Attendees can expect to leave with a clearer understanding of current compliance trends and actionable considerations for their own organisations.