We Govern What AI Says,
Does, and Decides
MicroEAI is an AI Risk Engine that ensures Trust, Safety, Compliance, and Explainability (TSC+) across all AI modalities—ML, LLMs, Audio, Video, Documents, and Logs. It detects bias, hallucinations, prompt injection, and abuse, with explainability and red-team pattern tracing.
The platform maps to domain-specific policies, assigns risk posture, and generates audit trails—enabling responsible, traceable GenAI deployment.
TSC+ for AI Modalities
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 Application and Infrastructure Regulatory Compliance
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.
Agentic Compliance Intelligence
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.
Bias Detection in LLM-Based Healthcare Interpretations
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’s 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.
Pharmaceutical Enterprise – Risk Posture & Compliance from 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.
Healthcare Research Institution – Bias & Fairness Oversight
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.
Unified Risk Controls. Real-Time AI Governance.
Microeai delivers essential tools for ensuring AI transparency, fairness, and compliance, including Bias Detection, Fairness Metrics, Explainability, and Risk Assessment.
Identifies malicious input patterns that attempt to manipulate LLM behavior. Helps detect jailbreaks, obfuscated prompts, and indirect attacks in AI logs.
Detects unsafe, biased, or deceptive language generated by AI systems. Ensures GenAI outputs remain professional, inclusive, and risk-aware.
Matches outputs against internal policies and external standards to flag breaches. Supports compliance with ISO, GDPR, OWASP, and org-specific rules.
Recognizes known adversarial prompts and jailbreak attempts used in red teaming. Trained on real-world red team datasets to catch covert manipulation tactics.
Tracks inconsistencies and deviations when comparing outputs across LLMs. Useful for testing fairness, hallucination risk, and model reliability.
Flags impersonation or social engineering cues in voice and video content. Protects against AI-generated fraud, fake authority tone, or deepfakes.
Analyzes logs for GenAI-related threats, OWASP LLM risks, and system anomalies. Surfaces early warning signals from endpoints, networks, or API misuse.
Provides visual traceability and rationale behind flagged AI decisions. Maps risks to the triggering prompt, model behavior, and control logic.
Surfaces violations tied to fairness, bias, and ethical misuse in AI outputs. Aligns with your AI principles by enforcing explainable and justifiable behavior.
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 StartedWhy MicroEAI is Your First Line of
AI Defense
MicroEAI delivers end-to-end risk coverage across all AI modalities—including ML models, LLMs, audio, video, and agentic systems. It provides real-time explainability, scoring, and full traceability with exportable reports. With integrated cyber-AI audit logs, the platform is built to align with NIST, ISO, and EU AI Act standards.
Auditable outputs, explainable drift, policy-aligned risk insights—MicroEAI ensures your models can be trusted and justified across teams and regulators.
FAISS-based vector matching enables MicroEAI to trace every model output against GDPR, CCPA, HIPAA, NIST RMF, EU AI Act, and internal organizational policies.
Identify hallucinations, drifted responses, impersonations, prompt leaks, unsafe CoT completions, and more across LLMs, ML pipelines, and multi-modal agents.
With the Ethics Engine Core embedded in our AI Risk Engine, MicroEAI makes ethical decision-making an executable control—not a checkbox.
