One AI-native control plane to discover LLMs, RAG systems, agents and AI assets, enforce runtime guardrails, automate governance, and generate audit-ready evidence across the AI lifecycle.
AI is moving faster than traditional security, governance and compliance programs. The platform is built around the three gaps organizations need to close.
One-time scans and periodic red teams cannot keep up with adversarial prompts, model drift and agentic workflows that adapt in real time.
Organizations need continuous evidence, live control monitoring, and the ability to connect compliance gaps to enforcement actions.
Legacy SIEM and XDR tools were designed for networks and endpoints, not jailbreaks, prompt injection, model extraction, RAG manipulation or data poisoning.
Three modules connecting security, governance, compliance and trust into one continuous loop across the AI lifecycle.
Runtime AI security and red-teaming for models, prompts, agents, APIs and data pipelines.
Governance, risk and compliance automation with live control monitoring and audit-ready evidence.
AI-native threat detection and response for model-layer attacks that traditional SOC tools miss.
Every AI system is evaluated across Robust, Explainable, Fair, Accountable, Trusted, Ethical and Safe dimensions.
Align AI security and governance controls with major global frameworks, on the deployment model your risk posture requires.
Risk management, traceability, incident response, resilience and audit-ready evidence for regulated AI systems.
Controls mapped across the govern, map, measure and manage functions with continuous monitoring support.
AI management system controls evidenced continuously rather than reconstructed at audit time.
For organizations where AI decisions, customer data, operational continuity and regulatory proof cannot be left to disconnected point tools.
Secure GenAI, fraud models, credit workflows, trading systems, claims automation, underwriting AI and policyholder data with continuous controls.
Protect clinical AI, patient-facing tools, medical workflow automation and high-sensitivity data environments.
Support responsible high-risk AI adoption with explainability, human oversight, audit trails and incident readiness.
Defend industrial AI, predictive maintenance, quality-control models, supply-chain automation and operational systems.
Govern recommendation engines, pricing models, personalization AI, fraud detection and customer data use.
Monitor AI-driven network operations, service bots, fraud controls and large-scale customer intelligence systems.
Secure LLM features, agentic workflows, copilots, AI APIs and third-party AI integrations across product teams.
Protect AI used in grid operations, asset monitoring, demand forecasting, safety automation and critical infrastructure.
Eliminate AI blind spots, prove compliance continuously, and scale AI securely with guardrails that protect without slowing delivery.
The platform is engineered by Cygeniq. Misi-Ziibi connects it to your AI estate, identity and data systems, and existing security and risk processes, and carries delivery accountability for the engagement.
Tell us what AI you are running and what you need to prove about it. We will map it to the right controls and a realistic path to production.
