At the Compliance Cloudscape Digital Summit, we brought together data security and privacy leaders to explore AI compliance with cutting-edge strategies for managing today’s complex data environments, such as leveraging AI-powered tools, Verhinderung von Datenverlust (DLP), and robust data defense frameworks.
If you missed it, don’t worry – check out the full recap below, or watch the recording hier.
Navigating the Global AI Regulatory Maze
The summit started with a deep dive into the surge of global AI regulations. Enza Iannopollo, Principal Analyst at Forrester Research and featured keynote speaker for the summit, highlighted the necessity for companies to understand their roles within the AI supply chain, particularly concerning regulations like the EU-KI-Gesetz. She emphasized the need for dedicated AI governance and compliance teams, capable of balancing the opportunities and risks associated with AI.
Organizations must now implement robust AI governance frameworks to address the growing risk and regulation around AI. According to Enza Iannopollo, Principal Analyst at Forrester Research, it’s all about the necessity of AI governance teams, and thorough AI project inventories and risk assessments using frameworks like NIST und ISO 42001.
Iannopollo suggests that companies:
- Inventory existing and emerging KI und GenAI use cases,
- Set up a governance process with approval flows, and
- Standardize and automate these processes.
She highlights the importance of assessing each use case based on its risk rating in the EU AI Act, leveraging available frameworks, and determining how the Act applies to specific roles within the AI value chain.
Iannopollo recommends addressing documentation for compliance: including Risikobewertungen, informing deployers and providers, incident reporting, cybersecurity, compliance with IP protection legislation, training content, EU representative appointment, and cooperation with the commission and national authorities.
BigID Weiter aligns with regulatory frameworks to embrace AI innovation and ensure that your AI data is protected, compliant, and managed in line with the highest security standards.
Data Protection, Risk, and Security in the AI Era
Up next? An expert panel to discuss critical concerns surrounding data protection in the AI era. The experts, Merritt Baer, CISO at Reco, Matthew Shelton, Senior Cybersecurity Leader, Dr. Wendy Ng, BISO at Marks and Spencerund Parul Khanna, Director of Cybersecurity at Cineplex, emphasize the need for security teams to adapt to changing data protection patterns.
According to Matthew Shelton, “The future of AI entails its integration between different teams. One important aspect is continuous monitoring for compliance requirements. AI systems need to be capable of real-time data deviation detection to maintain compliance.” Understanding and mitigating the risks associated with AI use in enterprises is absolutely crucial. With AI becoming more prevalent, there lies an increased focus on data storage security and risk management. -Dr. Wendy Ng, BISO, Marks and Spencer
Shaping Future Cloud Compliance Strategies
The summit concluded with a panel on evolving data privacy regulations and the future of cloud compliance. Willem Balfoort, Head of International Privacy at Stripe, Aaron Weller, who leads the Global Privacy Engineering Center of Excellence at HPund Maya Goethals, Director of Compliance and Operational Risk at Bank of America, highlight the need for privacy practices to evolve and expand to address a changing environment.
Weller stated, “Privacy practices need to consider the broader impacts, not just limited to our personal data in these rapid technological advancements. We need tools that give us insight into controls and help us keep up with the ever-changing regulations.” Balfoort added, “Laws and regulations concerning privacy are quite diverse, which calls for agile and adaptable privacy programs.”
It’s essential to stay informed about changes in regulations and adopt privacy-enhancing technologies to create future-proof solutions. Goethals concluded, “The challenges of extraterritoriality for global organizations are real, as is the balancing act of compliance with multiple laws. We need to hold a keen focus on evolving privacy laws and the implications of AI regulations on data transfers to restricted countries.”
Agile and adaptable privacy programs mean that organizations need to:
- Stay Ahead of the Curve: Stay informed about regulatory changes and adopt privacy-enhancing technologies to create future-proof solutions.
- Navigate Global Complexity: The challenges of extraterritoriality for global organizations and the balancing act of compliance with multiple laws.
- Understand Cross-Border Implications: Understand the implications of AI regulations on data transfers to restricted countries.
BigID enables organizations to monitor compliance with over 100 out-of-the-box (OOB) privacy regulations to enable and manage policies around data location and movement while triggering controls for compliance. BigID provides the clarity, automation, and insights you need to streamline privacy automation and stay ahead of regulatory requirements.
Don’t miss a beat – check out the full sessions here:
- AI in Compliance: Automating Risk Management and Beyond
- Adapting to Evolving Data Privacy Regulations in the Cloud Compliance Era
Looking to dive deeper into how BigID can help you solve for AI compliance and beyond? A 1:1 call with our AI experts is a click away – get started hier.
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