AI Compliance & Security
ITGRC Advisory Ltd. provides cutting-edge AI Compliance & Security Services to help organizations navigate the complex landscape of AI regulations, standards, and best practices. We ensure the ethical, secure, and effective deployment of AI systems, enabling organizations to harness the power of AI while mitigating risks and ensuring compliance.
The rapid adoption of AI across industries requires robust compliance and security frameworks to address ethical, legal, and operational risks. ITGRC Advisory Ltd. offers comprehensive services that align with global and regional AI regulations, such as the EU AI Act, GDPR, NIST AI RMF, and ISO/IEC 42001.
Key Features of AI Compliance & Security
Effective AI compliance and security management require adherence to industry best practices to ensure the responsible use of AI technologies.
Below are the key features that define robust AI compliance and security frameworks:
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Regulatory Adherence and Alignment:
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Align AI systems with global and regional regulations, such as the EU AI Act, GDPR, NIST AI RMF, and ISO/IEC 42001.
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Regularly monitor emerging laws and standards to maintain up-to-date compliance.
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Ethical AI Principles:
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Incorporate fairness, accountability, and transparency (FAT) principles into AI development and operations.
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Mitigate bias in algorithms by implementing inclusive datasets and regular bias testing.
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AI Governance:
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Establish an AI governance framework that defines roles, responsibilities, and oversight mechanisms.
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Integrate ethical AI committees or boards to ensure ongoing accountability and policy enforcement.
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Security by Design:
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Embed security features throughout the AI lifecycle, from data collection to model deployment.
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Apply robust encryption, access control, and authentication mechanisms to protect sensitive data and systems.
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Privacy-Enhancing Technologies (PETs):
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Use technologies such as federated learning and differential privacy to secure data without compromising user confidentiality.
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Enable secure collaboration and data sharing while minimizing risks of data exposure.
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Continuous Risk Monitoring:
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Conduct risk assessments at every stage of the AI lifecycle to identify vulnerabilities.
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Implement real-time monitoring tools to detect anomalies, adversarial attacks, and operational risks.
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AI Transparency:
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Maintain clear documentation of AI systems, including data sources, decision-making processes, and model outputs.
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Provide explainable AI (XAI) solutions to ensure decisions are interpretable by humans.
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Robust Testing and Validation:
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Test AI systems rigorously for security, accuracy, reliability, and robustness.
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Simulate adversarial scenarios to ensure resilience against attacks like data poisoning and evasion.
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Fail-Safe Mechanisms:
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Design systems with human-in-the-loop capabilities to allow intervention in critical situations.
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Implement fallback mechanisms to ensure AI systems can safely halt or switch to manual operations if needed.
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Cross-Border Compliance Management:
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Use secure data transfer mechanisms, such as SCCs and BCRs, to meet data localization and residency requirements.
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Develop policies for managing AI systems that operate across multiple jurisdictions.
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Sector-Specific Adaptation:
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Tailor AI systems to meet the specific compliance and security requirements of industries like healthcare, finance, and automotive.
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Align with domain-specific frameworks, such as FDA SaMD guidelines, ISO 26262 for automotive, and SR 11-7 for financial model risk.
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Awareness and Training:
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Conduct regular training for stakeholders to ensure understanding of compliance obligations and security best practices.
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Promote a culture of ethical AI through ongoing awareness campaigns.
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Description of AI Compliance & Security Services
ITGRC Advisory Ltd. provides end-to-end AI Compliance & Security Services, focusing on global regulations, security frameworks, and best practices to safeguard organizations in an AI-driven world.
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Regulatory Compliance Support:
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Align AI practices with global regulations, such as the EU AI Act, GDPR, California AI Transparency Act, China’s Interim Measures for Generative AI, and NIST AI RMF.
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Address regional and sector-specific requirements, including ISO/IEC 42001 (AI management systems), OECD AI Principles, and FDA SaMD guidelines for healthcare AI.
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Facilitate compliance with emerging regulations in countries like Canada (Bill C-27), Brazil (AI Bill No. 2338), and Singapore (AI Governance Framework).
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AI Governance and Accountability:
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Develop and implement AI governance frameworks that emphasize transparency, fairness, and accountability.
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Establish AI governance committees and define roles and responsibilities across departments.
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Ensure alignment with international frameworks such as the OECD Principles on AI and ISO/IEC standards for governance and risk management.
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Risk Assessment and Management:
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Identify risks related to AI ethics, biases, and security through comprehensive risk assessments.
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Implement mitigation strategies, including adversarial training, differential privacy, and encryption.
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Monitor AI systems continuously to detect and address compliance or operational issues in real time.
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AI Security and Privacy:
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Secure AI systems with state-of-the-art measures, such as encryption, access controls, and secure data storage.
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Use privacy-enhancing technologies (PETs), such as federated learning, to enable secure AI operations while protecting sensitive data.
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Protect systems from adversarial attacks, including evasion, model extraction, and poisoning attacks, using techniques like input sanitization and model hardening.
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Cross-Border Compliance and Data Transfer:
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Ensure compliance with cross-border data transfer requirements through mechanisms such as SCCs (Standard Contractual Clauses) and adequacy decisions.
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Address data localization and residency regulations in jurisdictions like China (PIPL) and the EU.
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AI Safety and Robustness:
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Conduct thorough testing and validation to ensure AI systems are reliable, secure, and robust against manipulation.
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Implement fail-safe mechanisms and human-in-the-loop oversight to prevent malfunctions and unintended consequences.
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Align with safety standards, including ENISA Multilayer Cybersecurity Framework and ISO/IEC standards for AI robustness and safety.
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Audits and Continuous Monitoring:
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Perform AI system audits based on SSAE18, ISAE3000, ISAE3402, ISACA standards , and ISO 19011 guidelines to ensure compliance with regulatory and organizational standards.
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Establish automated monitoring tools to detect anomalies, biases, and security threats in real time.
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Provide regular reports and metrics to evaluate system performance and compliance status.
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Sector-Specific Compliance:
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Healthcare: Align AI medical devices with FDA SaMD guidelines and the EU’s Medical Device Regulation (MDR).
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Financial Services: Address Model Risk Management (SR 11-7) and anti-money laundering (AML) requirements using AI.
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Automotive: Ensure compliance with ISO 26262 and Regulation (EU) 2019/2144 for autonomous vehicle systems.
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Training and Awareness:
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Deliver role-specific training for employees, focusing on ethical AI use, compliance obligations, and security best practices.
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Conduct workshops on evolving AI compliance landscapes and practical strategies for mitigation.
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By combining regulatory expertise, technical know-how, and a commitment to ethical AI practices, ITGRC Advisory Ltd. ensures organizations can deploy AI technologies responsibly, securely, and in compliance with global standards. Contact us to discover how our AI Compliance & Security Services can support your business goals.
Stay in touch
ITGRC ADVISORY LTD.
590 Kingston Road, London,
United Kingdom, SW20 8DN
company number: 12435469