Browse all content tagged with Compliance
Eunomia MCP Server is an extension of the Eunomia framework that orchestrates data governance policies—like PII detection and access control—across text streams in LLM-based applications, ensuring robust compliance and security in AI-driven environments.
The cheqd MCP Server integrates decentralized identity management into AI workflows, enabling secure identity verification, credential management, and interoperability with decentralized networks via standardized MCP interfaces.
The Human-In-the-Loop MCP Server for FlowHunt enables seamless integration of human judgment, approval, and input into AI workflows through real-time interactive GUI dialogs, enhancing safety, compliance, and customizability.
The Pagos MCP Server bridges AI assistants with the Pagos API, enabling real-time access to BIN (Bank Identification Number) data for secure and intelligent payment workflows. Integrate BIN lookups into your AI flows for fraud prevention, compliance, and analytics.
The Attestable MCP Server brings remote attestation and confidential computing to FlowHunt workflows, letting AI agents and clients verify server integrity before connecting. It uses hardware-backed cryptographic proofs to ensure secure, untampered AI pipelines.
The FDIC BankFind MCP Server connects AI assistants and developer workflows to authoritative U.S. banking data via the FDIC BankFind API, enabling search, retrieval, and integration of official bank records into applications and automations.
The SEC EDGAR MCP Server connects AI agents with the SEC’s EDGAR system, enabling automated access, querying, and analysis of public financial filings and disclosures for finance, compliance, and research workflows.
The TON Blockchain MCP Server enables natural language interaction with the TON blockchain for AI assistants. It supports real-time analysis, scam detection, transaction forensics, trading pattern analysis, and trend discovery through secure, API-driven integration.
The OceanBase MCP Server bridges secure AI interactions with OceanBase databases, enabling tasks like listing tables, reading data, and executing SQL queries in a controlled environment. It enhances safe database access, analysis, and reporting for AI workflows with robust logging and granular access control.
The Sanctions MCP Server connects AI assistants to robust sanctions screening capabilities, enabling automated compliance checks against global sanctions lists such as OFAC SDN, UN, and OFSI. Perfect for risk assessment, KYC workflows, transaction monitoring, and bulk entity screening in AI-powered environments.
The Splunk MCP Server bridges AI assistants and Splunk, exposing search, alert, index, and macro functionalities as tools for seamless operational integration and automation within AI workflows.
The OpsLevel MCP Server bridges AI assistants with OpsLevel's service catalog and engineering data, enabling real-time access to service metadata, compliance automation, and workflow enhancement through API integrations.
Discover FlowHunt's comprehensive security policy, covering infrastructure, organizational, product, and data privacy practices to ensure the highest standards of data protection and compliance.
AI certification processes are comprehensive assessments and validations designed to ensure that artificial intelligence systems meet predefined standards and regulations. These certifications act as benchmarks for evaluating the reliability, safety, and ethical compliance of AI technologies.
AI regulatory frameworks are structured guidelines and legal measures designed to govern the development, deployment, and use of artificial intelligence technologies. These frameworks aim to ensure that AI systems operate in a manner that is ethical, safe, and aligned with societal values. They address aspects such as data privacy, transparency, accountability, and risk management, fostering responsible AI innovation while mitigating potential risks.
Discover how the European AI Act impacts chatbots, detailing risk classifications, compliance requirements, deadlines, and the penalties for non-compliance to ensure ethical, transparent, and safe AI interactions.
Compliance reporting is a structured and systematic process that enables organizations to document and present evidence of their adherence to internal policies, industry standards, and regulatory requirements. It ensures risk management, transparency, and legal protection across various sectors.
Data governance is the framework of processes, policies, roles, and standards that ensure the effective and efficient use, availability, integrity, and security of data within an organization. It drives compliance, decision-making, and data quality across industries.
Data protection regulations are legal frameworks, policies, and standards that secure personal data, manage its processing, and safeguard individuals’ privacy rights worldwide. They ensure compliance, prevent unauthorized access, and uphold data subjects’ rights in the digital age.
The European Union Artificial Intelligence Act (EU AI Act) is the world’s first comprehensive regulatory framework designed to manage the risks and harness the benefits of artificial intelligence (AI). Introduced in April 2021, the AI Act aims to ensure that AI systems are safe, transparent, and aligned with fundamental rights and ethical principles.
A practical guide for business leaders on implementing Human-in-the-Loop (HITL) frameworks for responsible AI governance, risk reduction, compliance, and building trust in enterprise AI systems.
Model interpretability refers to the ability to understand, explain, and trust the predictions and decisions made by machine learning models. It is critical in AI, especially for decision-making in healthcare, finance, and autonomous systems, bridging the gap between complex models and human comprehension.
Explore the EU AI Act’s tiered penalty framework, with fines up to €35 million or 7% of global turnover for severe violations including manipulation, exploitation, or unauthorized biometric use. Learn about prohibited practices, enforcement mechanisms, and compliance strategies to ensure ethical and lawful AI operations.
Explore the KPMG AI Risk and Controls Guide—a practical framework to help organizations manage AI risks ethically, ensure compliance, and build trustworthy, responsible AI systems across industries.
