AICenturion delivers complete AI Trust, Risk, and Security Management, from shadow AI discovery and runtime guardrails to MCP server protection and cost governance. All within the Cytex Unified Platform.
AI
Discovery
Continuously uncovers every AI model, application, agent, pipeline, dataset, and shadow usage across the enterprise. Creates a real-time single source of truth that eliminates blind spots, makes every asset visible and protectable, and eliminates hidden risks that lead to major incidents.
Runtime Governance
Enforces policies in real-time across the entire AI lifecycle with automatic risk classification, anomaly detection, and instant remediation of threats such as prompt injections or bias. Ensures AI stays within approved, governed limits, preventing rogue behavior and compliance breaches.
Trust
at Scale
Instantly produces risk metrics and audit-ready evidence that automate alignment with NIST AI RMF, ISO 42001, and MITRE ATLAS. Turns regulatory reviews into a seamless, low-effort process. Gives boards, auditors, and regulators instant confidence without manual work.
Context-Aware Intelligence
Builds and maintains a living map of data sources, models, agent actions, and decisions. Provides complete visibility into data origins and usage for automatic, context-smart policy enforcement. Generates trustworthy, explainable outcomes, reducing liability and exposure.
Unified AI governance platform
Why AICenturion?
AICenturion is purpose-built for regulated enterprises that need to move AI from experimental pilots to production at scale without creating new categories of risk. Unlike point solutions that focus narrowly on model monitoring or policy templates, AICenturion delivers orchestrated, runtime governance that keeps pace with agentic and GenAI workflows. It prevents shadow proliferation before it starts, stops unauthorized or malicious actions the moment they occur, maintains defensible traceability across every decision path, and turns compliance evidence into an automatic byproduct of normal operations. The result is faster safe adoption, and the ability to demonstrate responsible AI leadership rather than reactive firefighting. As an integrated module of the Cytex Unified Platform, AICenturion manages AI risk in the same operational environment as cloud, endpoint, vendor, and broader GRC controls, transforming AI risk into strategic advantage.
Empowering safe ai adoption
You Can't Protect What You Can't See
Get complete visibility into every AI asset active in the enterprise: sanctioned tools, shadow adoption by employees, autonomous agents, embedded LLMs in business applications, ML pipelines in production, training datasets in motion, and interactions routed through Model Context Protocol gateways. It automatically builds and maintains a dynamic, real-time registry that surfaces usage patterns the moment they appear.
The result: blind spots disappear, shadow proliferation stops, data leakage risks drop sharply, and the organization moves from reactive firefighting to proactive, confident governance, unlocking faster, safer AI scaling without the fear of unknown exposures.
AI Discovery
Automatically detects and registers every AI tool, model, agent, embedded LLM, ML pipeline, and dataset in use, sanctioned or shadow. Creates a live, always-updated catalog that ends blind spots and prevents unsanctioned proliferation from becoming a security or compliance liability.
AI Usage Insights
Surfaces real adoption patterns across teams, departments, and geographies. Shows which tools are gaining traction, how frequently they are used, and where shadow behaviors are emerging, giving leadership actionable intelligence to guide education, policy updates, and strategic acceleration of productive AI use.
AI Risk
Builds a prioritized risk profile for every discovered AI asset, scoring severity across data sensitivity, model integrity, compliance alignment, user access, and security posture. Turns scattered threats into a clear hierarchy of priorities so teams can focus remediation where it matters most and reduce overall exposure quickly.
AI Data Flow
Monitors and controls data moving into and out of every AI interaction. Enforces intelligent ingress/egress rules to stop leakage to high-risk or unsanctioned endpoints, aligns usage with organizational risk tolerance, and prevents sensitive information from reaching unauthorized tools or providers.
Data Lineage
Traces the complete journey of data interacting with AI systems, from origin through transformations to final destination. Provides transparent visibility into how information is used, who accesses it, and where it ends up, enabling defensible controls, rapid incident response, and confident proof of compliance when regulators or auditors ask.
Secure Every Identity at the Semantic Layer
AI Runtime Governance
AICenturion provides intelligent, always-on oversight that adapts policy enforcement to every AI model and agent based on its type, lifecycle stage, and risk level.
Lifecycle-Aware Policy Enforcement
Automatically applies the right governance controls depending on whether a model is experimental, in testing, or in production.
- Tighter rules for experimental AI.
- Efficient controls for production systems.
- This ensures safe innovation without slowing down trusted AI.
Real-Time Risk Scoring & Prioritization
Continuously scores risks and instantly highlights the most critical exposures and compliance gaps.
- Leadership can focus resources where they matter most.
- Reduces noise and enables fast, decisive action across the organization.
Automated Compliance & Evidence
Maps every business use case and AI interaction directly to governance requirements.
- Records every decision in real time and automatically generates audit-ready evidence for NIST AI RMF, ISO 42001, and MITRE ATLAS.
- Turns compliance from a manual burden into a seamless byproduct.
Secure Every Identity at the Semantic Layer
Identity Governance
AICenturion extends enterprise identity governance directly into the AI and agentic layer so that every action, by AI agents or humans, is performed by a properly authenticated and authorized identity, delivering stronger security, simpler compliance, and the confidence to scale AI responsibly across the enterprise.
Human Identity Governance
Extends RBAC and ABAC to the semantic layer of AI systems. Users can only access data, models, and agents permitted by their role and attributes. This prevents over-privileged access to sensitive information while maintaining productivity.
Semantic Access Control
Enforces intelligent access using an ontology-based semantic layer for humans and AI agents. Evaluates meaning, context, and data relationships of every query. Ensures agents operate strictly within authorized boundaries with injected access context.
AI Agent Governance
Treats every AI agent, model, and autonomous workflow as a governed identity. Applies centralized policy controls, lifecycle management, and continuous monitoring. Replaces static keys with short-lived tokens to eliminate credential sprawl and reduce attack surface.
Unified Control Plane
Provides a single governance fabric where human users and AI agents follow the same rules, visibility, and audit trails. Security and compliance teams manage both human and machine identities from one pane of glass, eliminating silos and reducing operational complexity.
Protect Every AI Interaction in Real Time
Runtime Guardrails
AICenturion places intelligent, always-active guardrails around every prompt, response, and data flow, turning runtime protection into a seamless layer that keeps AI usable and productive while enabling your teams to innovate confidently with GenAI and agents, without increasing risk or compliance burden.
Prompt Injection Defense
Inspects every incoming prompt in real time using heuristic, signature-based, and semantic analysis. Detects and blocks jailbreak attempts, adversarial inputs, and prompt injections before they reach the model. Keeps AI outputs reliable, safe, and trustworthy.
Hallucination Detection
Continuously monitors model outputs for hallucinations, factual inconsistencies, toxic content, and bias drift. Flags anomalies instantly and enforces safety thresholds before responses reach users. Protects decision quality and brand reputation.
Data Exfiltration Prevention
Understands conversational context to intercept sensitive data in prompts and responses. Blocks unauthorized egress of PII, PHI, CUI, or proprietary information to external LLMs. Ensures sensitive data stays within approved boundaries and reduces compliance risk.
Bidirectional Protection
Guardrails operate on both ingress (what goes to the model) and egress (what comes back) with context-aware inspection. Analyzes full conversation flow to catch harmful, inaccurate, or policy-violating content. Prevents risky outputs while preserving usability and productivity.
Lifecycle Management & Cost Governance
AIOps & Observability
AI FinOps
Tracks API costs and token usage by model, team and department while aligning budgets.
AI Asset Inventory
Automatically catalogs all AI models and agents with risk scores and ownership.
Continuous Monitoring
Detects drift, bias, anomalies, and performance issues in real-time.
Context Graph
Maintains a living ontology-based map of data sources, models, agents and decisions.
OpenTelemetry
Delivers complete audit trails and real-time observability across all AI interactions.
Data Lineage
Traces every piece of data from source through every transformation and AI interaction.
Unified AI Governance Platform
Transform AI Challenges into Opportunities
AICenturion turns AI risks into strategic advantages, empowering your enterprise to innovate while staying secure and compliant.
aicenturion trust cycle
What Sets AICenturion Apart?
Challenge | AICenturion Advantage |
|---|---|
Shadow AI |
Automatic detection of unauthorized AI models, agents, and apps across your environment |
AI Model & Agent Governance |
Policy enforcement by model type, lifecycle stage, and risk classification |
Runtime Guardrails |
Real-time prompt inspection, data redaction, and response filtering |
Hallucination Detection |
Flags fabricated outputs and enforces safety thresholds |
RBAC & ABAC for AI |
Role and attribute-based access control at the semantic data layer |
MCP Server Security |
Vulnerability scanning, tool poisoning detection, and rug pull prevention |
Context Graph & Semantic Layer |
Ontology-based data lineage and access control for AI agents |
OpenTelemetry Audit Logging |
Complete, timestamped audit trail for every AI interaction |
Cost & Usage Tracking |
Token consumption, API costs, and budget alignment by team and model |
Compliance Automation |
Automated mapping to AI TRiSM, ISO 42001, and NIST AI RMF |
AICenturion's Governance-as-a-Service saved us $2M in compliance costs and gave us AI visibility overnight.
For a retail giant deploying AI chatbots to handle 24/7 customer inquiries, AICenturion ensures compliance with GDPR by scanning prompts for PII leaks. It aligns support workflows to governance frameworks, enabling seamless global scaling while real-time guardrails prevent toxic or biased responses, protecting brand trust across markets.
A multinational HR department uses AI for resume screening but risks bias lawsuits. AICenturion tests the AI pre-launch for fairness, aligns hiring processes with compliance frameworks and monitors outputs to block discriminatory patterns, averting legal and PR disasters while ensuring equitable talent acquisition.
A fintech app developer relies on AI-generated code but faces security threats. AICenturion scans code for vulnerabilities (MITRE ATLAS, OWASP Top 10 LLM) before deployment, integrates secure coding policies into DevOps pipelines, and enforces continuous guardrails, delivering robust applications without compromising compliance or speed.
