Introduction: AI Innovation Depends on Trust
AI is rapidly moving from experimentation to enterprise-scale deployment. Models are trained, fine-tuned, and deployed faster than ever — often using vast amounts of personal and sensitive data. But as AI systems grow more powerful, so does the responsibility to ensure that data use respects individual choices and ethical commitments.
For privacy leaders, this creates a new challenge: how do you ensure user consent is honored not just in policy, but in practice — across AI systems and workflows?
Today, we’re announcing Consent for AI, a new BigID capability designed to help organizations operationalize consent across AI data use and maintain trust as AI adoption accelerates.
The Problem: Consent Stops Where AI Begins
Most organizations have mature processes for collecting and managing preferências de consentimento. But once personal data enters AI pipelines — from training data to inference and downstream applications — consent signals often lose visibility.
Privacy teams are left asking critical questions:
- Has consent been withdrawn for data used in this model?
- Are opt-outs consistently reflected across AI systems?
- Can we confidently say AI is not using personal data when users have opted out?
Without clear answers, organizations face blind spots that can undermine trust, responsible AI commitments, and confidence in AI initiatives.
Introducing Consent for AI
Consent for AI bridges the gap between consent management and AI data use.
By connecting consent intelligence directly to AI systems, data, and risk tracking, BigID helps privacy teams detect when consent is withdrawn and ensure opt-outs are surfaced, tracked, and addressed across AI environments.
Rather than relying on manual reviews or static documentation, Consent for AI provides continuous visibility into how consent choices impact AI data use — enabling teams to act before issues become public, internal, or reputational risks.
How Consent for AI Works
Consent for AI extends BigID’s Consentimento Universal platform with AI-aware enforcement and monitoring, enabling privacy teams to manage consent where AI risk actually occurs.
As principais funcionalidades incluem:
- AI-aware consent enforcement to detect when personal data may still be used in AI systems after consent is withdrawn
- Automated AI consent withdrawal handling to eliminate manual workflows and inconsistencies
- Integrated consent-to-risk intelligence that flags unmanaged AI opt-outs as risks
- Monitoramento contínuo for unauthorized AI data use
- Reporting dashboards that provide executive-ready visibility into AI consent posture and remediation status
Por que isso importa agora?
As AI becomes embedded in core business operations, expectations around transparency and accountability are rising — from customers, employees, partners, and boards alike. Even as regulatory approaches evolve, trust remains non-negotiable.
Consent for AI gives organizations a way to demonstrate responsible AI practices in action — not just in principle. By ensuring personal data is not used in AI systems when users have opted out, privacy teams can support innovation without sacrificing trust or control.
Built for Privacy Leaders
Consent for AI is designed for Chief Privacy Officers and privacy teams who need more than documentation. It restores control, visibility, and confidence by making consent an operational part of AI governance — not a disconnected record.
With Consent for AI, privacy teams can:
- Confidently support AI initiatives
- Reduce hidden AI privacy risk
- Demonstrate ethical, transparent data use
- Reinforce trust with customers and stakeholders
Moving Forward with Responsible AI
AI will continue to evolve — and so will expectations around how personal data is used. Consent for AI helps organizations stay ahead by embedding consent into AI data use itself, ensuring responsible practices scale alongside innovation.
Visita Consent for AI to learn more or schedule a 1:1 demo with our privacy and security experts.
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