Foundation Guardrails for the EU AI Act
Introducing Dynamo AI's Foundation Guardrails for the EU AI Act
Low-code tools are going mainstream
Purus suspendisse a ornare non erat pellentesque arcu mi arcu eget tortor eu praesent curabitur porttitor ultrices sit sit amet purus urna enim eget. Habitant massa lectus tristique dictum lacus in bibendum. Velit ut viverra feugiat dui eu nisl sit massa viverra sed vitae nec sed. Nunc ornare consequat massa sagittis pellentesque tincidunt vel lacus integer risu.
- Vitae et erat tincidunt sed orci eget egestas facilisis amet ornare
- Sollicitudin integer velit aliquet viverra urna orci semper velit dolor sit amet
- Vitae quis ut luctus lobortis urna adipiscing bibendum
- Vitae quis ut luctus lobortis urna adipiscing bibendum
Multilingual NLP will grow
Mauris posuere arcu lectus congue. Sed eget semper mollis felis ante. Congue risus vulputate nunc porttitor dignissim cursus viverra quis. Condimentum nisl ut sed diam lacus sed. Cursus hac massa amet cursus diam. Consequat sodales non nulla ac id bibendum eu justo condimentum. Arcu elementum non suscipit amet vitae. Consectetur penatibus diam enim eget arcu et ut a congue arcu.
Combining supervised and unsupervised machine learning methods
Vitae vitae sollicitudin diam sed. Aliquam tellus libero a velit quam ut suscipit. Vitae adipiscing amet faucibus nec in ut. Tortor nulla aliquam commodo sit ultricies a nunc ultrices consectetur. Nibh magna arcu blandit quisque. In lorem sit turpis interdum facilisi.
- Dolor duis lorem enim eu turpis potenti nulla laoreet volutpat semper sed.
- Lorem a eget blandit ac neque amet amet non dapibus pulvinar.
- Pellentesque non integer ac id imperdiet blandit sit bibendum.
- Sit leo lorem elementum vitae faucibus quam feugiat hendrerit lectus.
Automating customer service: Tagging tickets and new era of chatbots
Vitae vitae sollicitudin diam sed. Aliquam tellus libero a velit quam ut suscipit. Vitae adipiscing amet faucibus nec in ut. Tortor nulla aliquam commodo sit ultricies a nunc ultrices consectetur. Nibh magna arcu blandit quisque. In lorem sit turpis interdum facilisi.
“Nisi consectetur velit bibendum a convallis arcu morbi lectus aecenas ultrices massa vel ut ultricies lectus elit arcu non id mattis libero amet mattis congue ipsum nibh odio in lacinia non”
Detecting fake news and cyber-bullying
Nunc ut facilisi volutpat neque est diam id sem erat aliquam elementum dolor tortor commodo et massa dictumst egestas tempor duis eget odio eu egestas nec amet suscipit posuere fames ded tortor ac ut fermentum odio ut amet urna posuere ligula volutpat cursus enim libero libero pretium faucibus nunc arcu mauris sed scelerisque cursus felis arcu sed aenean pharetra vitae suspendisse ac.
We are excited to announce DynamoGuard's Foundation Guardrails for Article 5 of the EU AI Act, providing enterprises with pre-built, validated guardrails to facilitate compliance with the regulation's prohibited AI practices. These guardrails include input and output guardrails for manipulation, social scoring, criminal risk assessment, biometric categorization, and emotion recognition – immediate, production-ready controls to protect against the prohibited AI practices.
The Challenge: Immediate Compliance Needs
The EU AI Act represents a watershed moment for AI regulation, with Article 5 specifically targeting AI practices deemed to pose "unacceptable risk." With enforcement beginning in February 2025, enterprises that conduct business in the EU must implement robust controls or risk penalties of up to €35 million or 7% of global revenue.
Implementing comprehensive controls for these high-risk practices requires sophisticated technological solutions that can reliably detect and prevent prohibited AI behaviors while maintaining usability and efficiency standards for AI products. Building these controls from scratch is complex, time-consuming, and resource-intensive.
The Solution: Expert-Created Guardrail Models
DynamoGuard's Foundation Guardrails represents the combined expertise of our AI Compliance Strategy and Machine Learning Research teams. Each guardrail undergoes a comprehensive creation process.
We start with deep policy research, analyzing both regulatory requirements and real customer needs to create guardrails that are effective in practice. Our Machine Learning team then leverages our proprietary synthetic data generation techniques to train lightweight models that perform well across a wide range of scenarios. Every guardrail undergoes comprehensive testing through our DynamoEval robustness tests and manual red teaming to ensure reliable performance. Finally, each model is benchmarked against human-annotated data in real-world scenarios.
We developed these guardrails with a clear focus: delivering robust, practical EU AI Act compliance for enterprises. We cover five critical areas:
- Manipulation or deceptive language (output guardrail)
- Social scoring (input and output guardrails)
- Criminal offense risk assessment (input and output guardrails)
- Biometric inference or categorization (input and output guardrails)
- Emotion recognition (output guardrail)
Simple to Deploy, Easy to Customize
We understand that enterprises need solutions that are both powerful and practical. Our Foundation Guardrails offer two implementation paths:
- Ready to Deploy: Use our guardrails out-of-the-box. Each guardrail comes pre-trained and thoroughly tested, allowing for rapid deployment.
- Customizable Foundation: Start with our guardrails and customize them to your enterprise's specific requirements. DynamoGuard makes it easy to refine guardrails.
Each Foundation Guardrail includes comprehensive documentation and clear validation steps to ensure successful implementation in your environment.
Getting Started
With EU AI Act enforcement approaching, now is the time to implement robust compliance controls. You can start implementing these Foundation Guardrails today through the DynamoGuard platform.
Ready to protect your AI systems? Request a demo to see our Foundation Guardrails in action and learn how we can bolster your compliance strategy.
Author
Archana Ahlawat
Product Manager
