In a recent fireside webinar hosted by Rewind and TechnologyAdvice, titled “Cloud compliance unlocked: Rethinking GRC for data resiliency,” industry experts gathered to discuss the evolving landscape of governance, risk, and compliance (GRC) in the cloud. Featuring Dan MacKay, Principal Compliance Specialist at AWS, Matt Doar, Software Toolsmith at Adaptavist, and James Ciesielski, Co-Founder and Entrepreneur in Residence at Rewind, the session provided strategic insights on modernizing compliance practices, tackling AI adoption risks, and embedding resilience into cloud-first infrastructures.
In this guide
- Shifting the compliance mindset
- Baking compliance into systems and workflows
- Foundational controls for audit-ready cloud environments
- Core principles for a strong compliance culture
- Navigating AI adoption in compliance
- Common pitfalls and blind spots
- Measuring compliance effectiveness
- Conclusion
Shifting the compliance mindset
James Ciesielski opened the discussion by challenging the traditional view of compliance as a “checkbox exercise.” He advocated for an “infinite game” approach, one focused on long-term thinking, continuous improvement, and sustained stakeholder trust. Rather than focusing on simply passing audits, organizations should integrate compliance into everyday processes to enhance operational resilience and customer confidence.
Dan MacKay echoed this philosophy, noting that organizations that treat compliance as an enabler, rather than a barrier, are better positioned to innovate. He emphasized the importance of confidence in risk management capabilities as foundational to adopting emerging technologies like generative AI.
Baking compliance into systems and workflows
Compliance should be integrated into systems and workflows from the outset. Ciesielski illustrated this with a real-world story from a client in the IoT sector, who faced challenges due to a lack of backup strategies for SaaS tools. Their experience highlighted a broader industry issue: the need for redundancy and data recovery strategies within cloud applications.
MacKay built on this, encouraging the automation of controls and deployment of repeatable compliance patterns through cloud-native technologies. These patterns help organizations move from reactive to proactive compliance. He introduced the concept of “go slow to go fast,” emphasizing upfront risk assessment and strong governance as precursors to accelerated, secure innovation.
Foundational controls for audit-ready cloud environments
The panel outlined several must-have controls for resilient, audit-ready systems:
- Least privilege access: Minimizing who can access sensitive systems and data.
- Traceability: Leveraging logging systems for visibility and incident forensics.
- Encryption: Ensuring secure data at rest and in transit.
- Secure and automated backups: Protecting against accidental deletions and malicious attacks.
MacKay emphasized that effective compliance isn’t just about implementing controls, it’s about understanding the risks behind them. Having full visibility into the environment and being able to demonstrate fast issue resolution is key.
Matt Doar added that successful compliance starts with people. Organizations should prioritize tightly controlled access and ensure the right individuals have authority over critical systems and data.
Core principles for a strong compliance culture
Building a resilient compliance culture requires cross-functional collaboration and strategic alignment. Ciesielski urged organizations to “automate the boring” to free up resources for high-risk areas. He also reinforced the need for ongoing benchmarks to measure improvement.
MacKay stressed the importance of a holistic approach that extends beyond IT to include legal, HR, and operational teams. Doar underscored the importance of data hygiene, advising that organizations should not only control who has access to data, but also have clear policies for its disposal.
All panelists agreed on the criticality of understanding the Shared Responsibility Model, especially when working with cloud service providers.
Navigating AI adoption in compliance
The rapid adoption of generative AI introduces new layers of risk and regulatory scrutiny. The panel addressed how to approach AI responsibly:
- Privacy-first thinking: Understand data handling practices of AI providers.
- Policies and governance: Define acceptable use cases, testing protocols, and fallback plans.
- Transparency: Inform customers about how AI is used and what data is processed.
MacKay warned against hasty experimentation, recommending guardrails that empower teams to innovate while staying compliant. Regular testing and monitoring of AI applications is crucial to managing incremental risk.
Common pitfalls and blind spots
Despite best intentions, many organizations fall into predictable traps:
- Shadow SaaS sprawl: As Ciesielski described, unmanaged SaaS usage can create security and compliance blind spots.
- Overreliance on technical controls: MacKay advised balancing compliance controls with comprehensive risk assessments.
- Neglecting disaster recovery: Doar highlighted the importance of conducting regular disaster recovery drills to ensure confidence in response capabilities.
Each expert reaffirmed the value of clarity in the Shared Responsibility Model to avoid gaps in data protection and compliance accountability.
Measuring compliance effectiveness
Success in compliance should be measured beyond audit outcomes. Key indicators include:
- Disaster recovery performance: How quickly and effectively can systems recover?
- Evidence of control effectiveness: Demonstrating real-world outcomes, not just documentation.
- Continuous benchmarking: Setting and tracking progress against key goals.
Visibility and agility emerged as themes: being able to detect, respond to, and recover from issues such as data breaches, unauthorized access, system failures, and compliance drift is as vital as having formal documentation of your compliance strategies. These issues, if left unaddressed, can compromise security, erode trust, and lead to regulatory penalties. Organizations must have real-time insight and response capabilities to mitigate risks swiftly and effectively.
Conclusion
Rewind’s webinar made a compelling case for rethinking cloud compliance as a proactive, continuous, and strategic endeavor. Rather than treating GRC as a hurdle, organizations should view it as a core business capability that enhances trust, enables innovation, and ensures resilience.
To learn more, visit rewind.com.
