High-Risk in AI

High-risk AI systems present significant challenges, such as ethical concerns, security vulnerabilities, and increased regulatory scrutiny.

With GRACE you can effectively manage risks and maintain compliance of all your AI.

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High Risk

Governing High-Risk AI systems

High-risk AI systems can lead to costly compliance violations and regulatory fines or distrust.... With the GRACE AI Platform you can safeguard your organizations AI by providing advanced risk management, monitoring, and compliance tools—ensuring your organization stays secure, compliant, and protected.

Stay compliant
Avoid regulatory fines
Safeguard your AI
EU AI ACT

Stay in control of your High-Risk AI

Match your controls with you risk appetite

The EU AI Act will fully apply to high-risk AI systems, covering AI applications in sectors such as law enforcement, healthcare, education, and critical infrastructure, etc.

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Is your use case High-Risk AI?

HR & Recruitment
Educational Tech
Infrastructure Management
Customer Service
Security and Access
Risk Alert
Your HR AI tools are classified as high-risk under current and emerging AI regulations, requiring immediate compliance attention.
HR & Recruitment Tools Risk Assessment
Your AI-powered HR and recruitment tools likely fall under high-risk employment management systems, even if they're marketed as simple productivity tools.
Key Risk Factors
Potential for algorithmic bias in candidate selection
Lack of transparency in decision-making processes
Insufficient human oversight of automated decisions
Potential violations of employment discrimination laws
Recommended Actions
Conduct a thorough AI impact assessment
Implement robust human oversight mechanisms
Develop clear documentation of AI decision processes
Establish regular bias testing and mitigation procedures
Risk Alert
Your educational AI tools present significant compliance risks under emerging AI regulations focused on educational outcomes.
Educational Technology Risk Assessment
Your educational technology tools likely fall under high-risk AI categories for education and vocational training, despite being used primarily for corporate training.
Key Risk Factors
Potential for bias in skill assessment and evaluation
Lack of transparency in learning progression algorithms
Insufficient accommodation for diverse learning needs
Risk of unfair career development outcomes
Recommended Actions
Conduct educational outcome fairness assessments
Implement human review of automated skill evaluations
Develop accessible alternative assessment paths
Create clear documentation of assessment criteria
Risk Alert
Your infrastructure management AI systems present significant regulatory risks due to their potential impact on critical services.
HR & Recruitment Tools Risk Assessment
Your infrastructure management systems likely qualify as high-risk critical infrastructure AI under regulatory frameworks, despite being viewed as operational efficiency tools.
Key Risk Factors
Potential for service disruptions affecting essential operations
Cybersecurity vulnerabilities in automated systems
Lack of human oversight for critical decisions
Insufficient testing for edge cases and failures
Recommended Actions
Implement comprehensive human oversight protocols
Develop robust fallback mechanisms for all automated systems
Establish regular security and vulnerability assessments
Create detailed documentation of system operations and limitations
Risk Alert
Your customer service AI systems present significant regulatory risk due to their potential impact on financial and service access decisions.
Customer Service & Access Systems Risk Assessment
Your customer service and access systems likely qualify as high-risk AI applications under regulatory frameworks, despite being viewed as simple business automation tools.
Key Risk Factors
Potential for discriminatory outcomes in credit or service access
Lack of explainability in decision-making algorithms
Insufficient transparency for affected customers
Risk of perpetuating historical biases in financial services
Recommended Actions
Implement rigorous fairness testing across demographic groups
Develop clear explanations for all automated decisions
Create accessible appeals processes for affected customers
Establish ongoing monitoring for algorithmic drift
Risk Alert
Your biometric security systems present significant regulatory compliance risks under current and emerging AI regulations.
Security & Access Control Risk Assessment
Your security and access control systems likely qualify as high-risk biometric identification systems under regulatory frameworks, despite being implemented as standard security measures.
Key Risk Factors
Use of facial recognition for identification purposes
Potential for discriminatory access outcomes
Privacy concerns regarding biometric data collection
Lack of informed consent and opt-out mechanisms
Recommended Actions
Conduct a comprehensive data protection impact assessment
Implement strict data minimization and retention policies
Develop non-biometric alternatives for all access systems
Establish clear consent and opt-out procedures
Talk to an expert
August 1st, 2024
EU AI Act comes into effect
The EU AI Act, setting transparent rules and clear AI system categories, took effect
February 2, 2025
Restrictions on unacceptable AI & AI Literacy Standards
AI systems classified as posing "unacceptable risks" are strictly banned
August 2, 2025
General-Purpose AI compliance requirements in effectffective
providers of General-Purpose AI (GPAI) models must meet new governance and compliance obligations under the EU AI Act, even for lower-risk systems.
August 2, 2026
High-risk AI obligations apply
The EU AI Act will fully apply to high-risk AI systems, covering AI applications in sectors such as law enforcement, healthcare, education, and critical infrastructure, etc.

Futureproof your AI compliance
with GRACE AI Platform

Setup policies & controls for High-Risk AI

GRACE provides built-in AI frameworks like ISO 42001 and the EU AI Act, plus the flexibility to create custom controls for your organization’s needs.

Registration of AI use cases, systems & models

Combat High-Risk AI with GRACE's AI Registry to centralize your AI models, systems and usecases, providing complete oversight to ensure compliance.

Streamlined reporting & attestation of controls

GRACE streamlines compliance with intuitive reporting, attestation, and real-time monitoring—your complete solution for AI risk management.

Track, monitor and review you AI complaince

Comprehensive AI governance and risk management to meet complex GRC demands
Learn more about GRACE AI Platform
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In the realm of High-Risk AI, the GRACE AI Platform stands as the ideal safeguard—balancing strict compliance with the freedom to innovate

Bjørn Olesen

Sales Director | 2021.AI
Responsible AI

GRACE AI Platform

Beyond the out-of-box AI infrastructure, GRACE offers three modules, enabling organisations to succeed with all AI operations. Modules can be integrated into your existing solutions individually.

MLOps
Governance
LLMOps
Discover the GRACE AI Platform

LLM Module

All-in-one AIDrive optimization with LLMs safely, securely and responsibly. platform
Learn more

MLOps Module

Develop, deploy and operate AI models
Learn more

Governance Module

Governace, Risk & Compliance architecture
Learn more
See pricing

Ready to safeguard your AI
for High-Risk compliance?

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