Enterprise Compliance &
Governance for AI Assurance
MicroEAI delivers provable AI assurance through a unified compliance infrastructure layer that governs AI behavior using ethics, risk management, and audit controls. The platform correlates AI behavior with multi-source evidence to ensure outcomes are explainable, traceable, and defensible.
Built on ethics-by-design, MicroEAI embeds fairness checks, policy alignment, and responsible AI safeguards directly into governance workflows. Human-in-the-loop oversight ensures accountable review, controlled approvals, and transparent decision-making.
With end-to-end traceability, MicroEAI links AI behavior to internal policies, external regulations, and operational evidence—producing regulator-ready audit reports and a measurable risk posture at both project and enterprise levels.
Oversight Across AI and System Evidence
MicroEAI provides real-time oversight across all AI modalities by detecting bias, hallucinations, prompt injection, unsafe responses, and policy violations. It analyzes outputs from ML models, LLM applications, agentic systems, audio, video, documents, and logs—ensuring every output is explainable, risk-scored, and compliant with organizational and regulatory standards. TSC+ enables organizations to move from reactive audit to proactive, accountable AI operations.
LLM + Infrastructure Compliance View
MicroEAI-Cypher monitors infrastructure activity and AI-enabled application behavior to detect risk and validate policy compliance. It ingests logs from endpoints, identity systems, networks, and applications to uncover misconfigurations, control violations, and compliance gaps—without requiring model or prompt access. Mapped to GxP, ISO, NIST, GDPR, and internal SOPs, Cypher generates audit trails, risk posture, and domain-specific compliance reports for regulated enterprises.
Domain-Aware Prompt & Action Governance
Ethico Agent enables organizations to interact with their governance layer in real time. It evaluates every prompt for compliance with internal SOPs and external frameworks like EU AI Act, ISO 42001, and HIPAA. It draws from an organization-specific corpus and MicroEAI’s domain-aligned external corpus to generate context-aware responses, simulate audits, and trace policy justifications. Autonomous agents drive the experience—transforming static policy documents into an intelligent, navigable, and explainable compliance system.
Healthcare-Specific Fairness Intelligence
MicroEAI enables healthcare and life sciences teams to audit LLM-generated interpretations for bias, fairness, and ethical compliance. It flags hallucinations, demographic disparities, and alignment issues with medical standards—delivering explainability, ethical scoring, and audit documentation. This ensures safe, inclusive, and compliant use of LLMs in diagnostic, decision support, and patient-facing scenarios.
Agentic Governance Layer (TSC+ SDK)
MicroEAI TSC+ SDK wraps around any LangChain, AutoGen, OpenAI Agent, or custom LLM stack — enforcing 500+ real-time governance checks across tool calls, outputs, memory, and reasoning steps. This SDK acts as the control fabric for AI systems, governing tool usage, enforcing scoped access, applying moderation filters, logging rationale, and keeping agent actions within policy — all managed via declarative YAML. Whether you’re deploying copilots, multi-agent systems, or internal LLM apps, MicroEAI delivers the missing layer of AI assurance — trusted, compliant, explainable, and enterprise-ready.
AI Compliance via Infrastructure Logs
A pharmaceutical enterprise engaged MicroEAI-Cypher to evaluate infrastructure logs for cybersecurity risk and compliance oversight—without accessing prompt or model data. Using logs from endpoint protection tools, user sessions, and application activity, the system flagged GenAI-related risks and mapped them to applicable internal SOPs and external frameworks (including GxP and ISO). MicroEAI-Cypher generated per-log risk posture scores, traceable audit trails, and regulatory compliance reports, including formatted audit reports aligned with FDA 21 CFR Part 11—providing the organization with actionable insights for both internal review and external readiness.
BIAS and Fairness Review in Clinical AI Use Cases
A university-affiliated healthcare group leveraged MicroEAI to evaluate LLM-generated interpretations used in patient-facing contexts. The platform flagged biased phrasing, hallucinated statements, and inconsistent framing across demographic groups. Traceability was ensured through explainability layers and ethical scoring, supporting both internal policy assurance and future regulatory alignment.
Modular Controls for AI & System Governance
Bias scoring, multi-output prompt validation, ethical risk flags, compliance matching, and audit assurance across AI, media, and infrastructure.
Detect impersonation, deepfakes, misinformation, and social-engineering risks in AI-generated and user-submitted audio/video.
Analyze AI and non-AI logs for misuse triggers, OWASP LLM risks, prompt-to-action anomalies, and compliance gaps.
Reviewer-ready insights with root cause, impacted dimension, evidence links, and compliance justification across all modalities.
Enforce organizational values using fairness checks, sensitive attribute audits, reviewer approvals, and ethical controls.
Human-in-loop review with approval locks, traceable decisions, multi-output comparison, and cryptographic signatures.
Auto-align risks across AI outputs, logs, and media to internal taxonomies and external governance frameworks.
Real-time clause tracing across internal policies and global regulations at output, log, and media level.
Project-level audit reports and enterprise-level AI assurance dashboards powered by traceable, multi-modal evidence.
Evaluate GenAI infrastructure, logs, and prompt misuse for cybersecurity posture scoring and compliance mapping.
Understand and Audit LLM + Agent Outputs
From jailbreaks and impersonation to hallucinations and unsafe actions—MicroEAI audits every LLM and Agentic system output using modular risk detectors, vector matching, and red-team pattern recognition.
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Built by Experts in AI, Security, and Compliance
MicroEAI is built by former AI leads, GRC architects, and enterprise security veterans—working across pharma, banking, government, and defense-grade safety-critical systems.
Get Started Why AI Oversight Requires Infrastructure-Level
Governance
Modern AI risk spans models, prompts, logs, and media. MicroEAI enforces compliance, ethics, and traceability at infrastructure scale—beyond observability alone.
Enable explainability, audit assurance, human-in-loop oversight, and regulatory compliance across AI, media, and infrastructure signals.
Clause-level traceability across datasets, models, multi-event LLM outputs, logs, and policies with automated governance alignment.
Detect unsafe completions, abuse triggers, policy breaches, prompt misuse, and infrastructure anomalies across LLMs, ML systems, agents, and logs.
Fairness checks, sensitive attribute audits, reviewer workflows, and verifiable checkpoints enforce ethical behavior across text, media, and system actions.
