Platform overview
AiVRIC is an autonomous security, compliance, and risk intelligence platform that runs in your environment. This page covers the architecture, modules, guardrails, and operational model.
Architecture
AiVRIC is composed of four interconnected modules deployed as containerized services on your Kubernetes cluster. All processing stays in your environment — no data leaves your control plane.
CloudSignals+RiskOps™
Continuous cloud posture monitoring, compliance automation, and AI-driven risk remediation across AWS, Azure, GCP, Kubernetes, and more.
AI Signals™
Real-time detection of AI model misuse, shadow AI, prompt injection, PII leakage, and model drift across your AI workloads.
AIRE Agentic Mesh™
Autonomous remediation engine that closes security gaps, raises tickets, and applies approved fixes without human handoff.
RogueAgent ASPM™
Application Security Posture Management for agentic and AI-driven applications — tracks permissions, dependencies, and runtime behavior.
Vision AI Optics™
AI/ML-powered threat intelligence and behavioral analytics that surface anomalies before they become incidents.
Shared Data Layer
A unified data fabric that normalizes signals from every connected source into a single risk-aware context model.
Connectors
AiVRIC connects to your environment via read-only, least-privilege integrations. No agents required for cloud accounts.
| Category | Supported providers |
|---|---|
| Cloud providers | AWS, Microsoft Azure, Google Cloud Platform, Alibaba Cloud |
| Container & Kubernetes | Amazon EKS, Azure AKS, Google GKE, self-managed clusters |
| Source control | GitHub, GitLab (roadmap) |
| SaaS productivity | Microsoft 365 / Entra ID |
| Databases | MongoDB Atlas |
| Ticketing & alerting | Jira, ServiceNow, PagerDuty, Slack, Microsoft Teams |
| SIEM | Splunk, Microsoft Sentinel, Elastic SIEM (via webhook) |
Guardrails
Guardrails are policy-as-code rules that AiVRIC evaluates continuously. They can run in Detect (alert only), Prevent (block + alert), or Remediate (auto-fix + alert) mode.
Compliance packs
Pre-built control mappings for SOC 2 Type II, ISO 27001, PCI DSS, HIPAA, NIST CSF, CIS Benchmarks, CMMC, and more.
AI safeguards
Detect PII exfiltration, model hallucinations, prompt injection, unauthorized model access, and jailbreak attempts in real time.
Custom rules
Author guardrails in YAML or Python. AiVRIC evaluates them within the same scan cadence as built-in rules.
Deployment model
AiVRIC deploys into your Kubernetes cluster using Helm charts managed by ArgoCD. All images are pulled from your private container registry — no public internet egress required at runtime.
aivric namespace via RBAC.
Data handling
AiVRIC processes configuration metadata — not customer data. All findings, scan results, and audit logs are stored in your environment's PostgreSQL instance and are never transmitted to AiVRIC infrastructure.
Data residency
100% in-environment. Your cloud, your cluster, your data store. AiVRIC never receives your findings or cloud configurations.
Encryption
TLS 1.3 in transit; AES-256 at rest via your cloud provider's KMS. Secrets stored in Azure Key Vault / AWS Secrets Manager.
Audit logging
Every platform action is logged with actor, timestamp, and outcome. Logs forward to your SIEM via configurable webhook.