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.
AI Risk Is Real. Oversight Can’t Be Optional.
Modern AI systems don’t just generate content—they generate risk. From prompt injection and hallucinations to ethical violations and compliance failures, unmonitored AI behavior can’t be trusted. MicroEAI brings active oversight to every AI layer—detecting threats, tracing violations, enforcing policy, and generating explainable, audit-ready outcomes across models, agents, and logs.
MicroEAI turns AI from a black box into a governed system—so your teams can innovate without losing control.
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.
Get StartedBuilt 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.
