Navigating the Tennessee Information Protection Act (TIPA): Key Details

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Tennessee enacted the Tennessee Information Protection Act (TIPA), becoming one of the U.S. states with a comprehensive data privacy law. TIPA incorporates standard provisions found in other state data privacy laws but stands out by emphasizing an affirmative defense for organizations that adopt strict data privacy practices aligned with the NIST privacy framework.

TIPA is similar to data privacy laws in Virginia and Indiana but stricter in some aspects, such as granting Tennessee courts the authority to award treble damages for willful or knowing violations. The legislation received unanimous approval from the State General Assembly and was signed into law by Governor Bill Lee on May 11, 2023. It will take effect on July 1, 2025.

TIPA outlines several obligations for organizations, such as purpose limitation, non-discrimination, security measures, consent requirements and privacy notice requirements, and conducting data protection assessments, among several other requirements. It also provides data subjects with several rights, such as the right to access, correct, delete, portability, disclosure and opt-out.

Tennessee Information Protection Act (TIPA) is a state data privacy law in Tennessee. It applies to businesses operating in Tennessee or targeting its residents if they generate over $25 million in annual revenue and either process the personal information of at least 175,000 consumers annually or handle the personal data of at least 25,000 consumers while deriving more than 50% of their gross revenue from selling personal information.

The Tennessee Attorney General & Reporter (AGR) holds exclusive authority to enforce TIPA. The AGR can initiate investigations based on reasonable cause arising from their own inquiries or consumer and public complaints and may issue civil investigative demands.

Courts can impose civil penalties of up to $15,000 per violation, with each provision and each impacted consumer considered a separate violation.

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Establish controls for safe adoption of AI technologies including GenAI

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Unblock the biggest impediments for Safe Adoption of AI Copilots like Microsoft 365 Copilot

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Monitor user access to data and enforce least privilege controls

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Discover shadow and cloud-native assets and accurately classify data

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Assess & improve compliance with security best practices frameworks

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Data Flow Governance
Understand data lineage and secure real-time streaming data

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Build safe enterprise AI systems

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Implement rule-aware AI copilots across your organization’s data anywhere

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Data Vectorization and Ingestion
Extract info from complex Unstructured Files, convert it into AI-ready formats, and sync to vector databases

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Data Curation and Sanitization for AI
Transform raw, unstructured files into data ready for model training and tuning

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Context-aware LLM Firewalls
Protect AI interactions with intelligent retrieval, response, and prompt firewalls

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Unstructured Data Governance
Manage and govern unstructured data to enable its safe use with generative AI

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Govern data for safe innovation

Data Discovery & Classification
Discover shadow and cloud-native assets and accurately classify data

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Unstructured Data Governance
Manage unstructured data to enable safe use with generative AI

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Data Access Governance
Monitor sensitive data access and prevent unauthorized use

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AI Governance
Establish controls for safe adoption of AI technologies including GenAI

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Enable users to easily find, understand, trust and access the data they need

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Automatically track changes and transformations of data throughout its lifecycle

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