When will the EU AI Act come into effect?

The AI Act will become fully applicable in 2026 (except for a few provisions) with a phased enforcement timeline that began on August 1, 2024. Various provisions came into effect after their effective date. Provisions on prohibited AI practices came into effect in February 2025, with various other obligations and chapters coming into effect gradually in 2025, 2026, and 2027.

Which AI systems are considered high-risk?

High-risk AI systems include any AI systems that pose significant impacts on health, safety, or fundamental rights. These include AI used in critical infrastructure, medical devices, law enforcement, recruitment, education, and financial services. Any providers or deployers of such systems must adhere to the requirements related to risk management, data governance, transparency, and human oversight.

How will the EU AI Act be enforced?

The newly created European AI Office will oversee the enforcement of the AI Act. This office will work with the various supervisory authorities in the EU member states and coordinate efforts related to compliance, audits, investigation of violations, and future recommendations.

What penalties exist for non-compliance?

Non-compliance with the AI Act can result in fines of up to €35 million or 7% of a company's annual turnover, whichever is higher. The penalties are tiered based on the severity of the violation. Violations of prohibited AI practices carry the highest penalties, while non-compliance with other obligations (such as those for high-risk systems) can result in fines up to €15 million or 3% of global turnover. Providing incorrect information to authorities carries the lowest penalties, up to €7.5 million or 1% of global turnover.

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Payment Card Industry Data Security Standard (PCI DSS), created by Visa, Mastercard, Discover, JCB, and American Express, is a set of security requirements. Organizations that accept credit cards must comply with 12 PCI DSS requirements as it protects cardholder data from unauthorized access, use, disclosure, disruption, modification, or destruction.

The most recent version, PCI DSS v4.0, was released in March 2022. Some of its requirements will go into effect in March 2024, while most of the requirements will go into effect in March 2025. The change from PCI DSS v3.2.1 to v4.0 represents a shift from a directive approach to a more flexible, results-oriented framework.

PCI DSS is essential since it protects customers' credit card data from ever-evolving threats. With data breaches growing more expensive both monetarily and in terms of reputation, PCI DSS enables enterprises to minimize the risk of a data breach and uphold data privacy.

PCI DSS includes 12 essential requirements, such as securing network infrastructure, encrypting cardholder data, implementing access controls, regularly monitoring and testing systems, and maintaining a secure information policy.

Any business handling credit card data must comply with PCI DSS since it offers the fundamental policies and security measures needed to secure sensitive financial information and maintain consumer confidence.

Best practices in implementing PCI DSS include identifying in-scope systems, assessing security posture, implementing security controls, monitoring systems and networks, etc.

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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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Build safe enterprise AI systems

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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

View

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

View

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

View

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

View
Govern data for safe innovation

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

View

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

View

Data Access Governance
Monitor sensitive data access and prevent unauthorized use

View

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

View

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

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Data Lineage
Automatically track changes and transformations of data throughout its lifecycle

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Data Quality
Conduct data quality checks and validation across various data types

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Automate data privacy operations

Data Mapping Automation
Manage your entire data mapping lifecycle and automate RoPA reports

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Comply with emerging AI regulations and ensure safe use of AI

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Automate your entire assessment lifecycle and demonstrate compliance

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Seamlessly track and manage user consent with your mobile app, get compliant with all major global regulations.

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