Conference Description
Key Takeaways
- Virtual summit examining how artificial intelligence is reshaping governance, risk, and compliance operations
- Designed for CISOs, GRC directors, security architects, and compliance leaders in enterprise organisations
- Sessions address practical implementation challenges, including build-versus-buy decisions and agent-driven compliance workflows
- Coverage of FedRAMP 20x Moderate certification requirements and third-party risk management automation
- Emphasis on distinguishing purpose-built GRC artificial intelligence from general-purpose language models
Introduction
The GRC Data & AI Summit 2026 is a virtual event bringing together governance, risk, and compliance professionals to examine how artificial intelligence is fundamentally altering their discipline. Hosted by Anecdotes, the ninety-minute programme targets security and compliance leaders navigating an environment where automation increasingly determines how organisations establish trust, manage risk, and demonstrate regulatory adherence. The timing reflects a broader industry inflection point: GRC teams face mounting pressure to process larger volumes of evidence, respond to evolving frameworks, and manage expanding third-party ecosystems—all while headcount and budgets remain constrained.
About This Event
The summit adopts a practitioner-led format, featuring GRC experts who have deployed artificial intelligence in operational settings rather than theoretical discussions. Sessions draw on real-world implementations, examining both successful deployments and initiatives that failed to deliver expected outcomes. This experience-based approach aims to provide attendees with actionable guidance rather than abstract frameworks.
The programme includes live sessions, expert panels, and product demonstrations. Interactive elements are incorporated throughout, and the virtual format enables participation regardless of geographic location.
Artificial Intelligence in Compliance Workflows
A central theme of the summit concerns how artificial intelligence is transforming day-to-day compliance operations. Traditional GRC programmes rely heavily on manual evidence collection, spreadsheet-based tracking, and periodic assessments that consume significant analyst time. The emergence of agent-driven workflows—where autonomous software agents handle routine compliance tasks—represents a departure from this model.
Sessions explore the practical realities of deploying these technologies, including the distinction between general-purpose large language models and purpose-built GRC artificial intelligence. While generic models offer broad capabilities, purpose-built solutions are designed with compliance-specific logic, control mappings, and regulatory knowledge embedded in their architecture. Understanding where each approach delivers value—and where limitations emerge—remains a critical decision point for organisations evaluating their technology strategies.
Build Versus Buy Decisions in the AI Era
The summit addresses a strategic question facing many enterprise GRC teams: whether to develop custom artificial intelligence capabilities internally or adopt existing platforms. This decision involves trade-offs between control, cost, time-to-value, and ongoing maintenance burden. Organisations with unique compliance requirements or proprietary data environments may favour custom development, while those seeking rapid deployment often gravitate toward established solutions.
Speakers with direct implementation experience share lessons learned from both paths, offering perspective on hidden costs, integration challenges, and the organisational capabilities required to sustain each approach over time.
FedRAMP 20x Moderate Certification
Regulatory developments feature prominently in the programme, with dedicated coverage of FedRAMP 20x Moderate certification. The FedRAMP framework governs how cloud service providers demonstrate security controls when serving United States federal agencies. Recent updates to the programme have introduced new requirements and assessment methodologies that affect both initial certification and continuous monitoring obligations.
For organisations pursuing or maintaining FedRAMP authorisation, understanding these changes carries direct operational and commercial implications. Sessions examine how artificial intelligence can support the evidence collection, control testing, and documentation processes that FedRAMP assessments demand.
Third-Party Risk Management Through Automation
Third-party risk management represents another area where artificial intelligence is gaining traction. Enterprises typically maintain relationships with hundreds or thousands of vendors, each presenting potential security, compliance, and operational risks. Traditional approaches to vendor assessment—questionnaires, periodic reviews, and manual due diligence—struggle to scale effectively.
The summit explores how AI agents can automate portions of the third-party risk lifecycle, from initial vendor onboarding through continuous monitoring. These capabilities enable GRC teams to maintain broader coverage without proportional increases in staffing, though implementation requires careful consideration of data quality, integration requirements, and exception handling processes.
Who Should Attend
The programme is designed for professionals responsible for governance, risk, and compliance functions within enterprise organisations. Relevant roles include chief information security officers, GRC directors, security architects, compliance programme managers, and leaders overseeing vendor risk or regulatory affairs. The content assumes familiarity with compliance frameworks and enterprise security operations, making it most suitable for practitioners already working in these domains who seek to understand how artificial intelligence will affect their programmes.
Organisations operating in regulated industries or managing complex compliance obligations across multiple frameworks stand to gain particular value from the practical implementation perspectives shared throughout the event.