One operating model for digital trust.
Nine complementary platforms connect governance, AI security, privacy assurance, cryptographic resilience, secure IoT foundations, controlled agentic AI operations and human-risk management.
Digital Trust Platforms
Each platform can be deployed independently or integrated through shared identity, evidence, risk and remediation workflows.
IntegraGRC
Governance system of record for obligations, controls, risks, privacy, audit, ESG, data and remediation.
IntegraGuard
AI usage governance for shadow AI discovery, browser enforcement, LLM gateway and evidence.
IntegraPrivacy
Controlled AI privacy and memorization assurance with anti-hallucination evidence design.
IntegraQ
Crypto inventory, PQC readiness, hybrid migration and crypto-agility governance.
IntegraQOS
PQC-secured immutable operating-system architecture for long-lived IoT and edge fleets.
AAIOS
Agentic AI Operating System for agent orchestration, tool control, governance, observability and AgentOps.
IntegraHuman
Human Risk Management platform for risk baselines, learning, phishing, exposure, policy and analytics.
IntegraCoach
Chat-native AI Personal Trainer for cyber culture, microlearning and personalized behavioral reinforcement.
IntegraForge
Agentic continuous adversarial validation for controlled attack simulation, security regression testing and evidence-based resilience measurement.
IntegraGRC provides the governance and evidence backbone. IntegraGuard supplies AI-usage telemetry and controls. IntegraPrivacy produces privacy-assurance evidence. IntegraQ governs cryptographic transition. IntegraQOS extends trust to long-lived IoT and edge systems. AAIOS governs agentic execution and AgentOps. IntegraHuman manages the human-risk control loop, IntegraCoach delivers personalized cyber-culture coaching, and IntegraForge continuously validates technical controls through authorized adversarial simulation.
Secure by design, deploy according to criticality
Deployment and control options are validated against the product architecture, data sensitivity and client environment.
- SaaS where appropriate
- Private cloud
- On-premise where supported
- Hybrid / federated integration
- Zero Trust / least privilege
- RBAC / ABAC
- Encryption / secrets
- Audit and monitoring
- Data / model / agent governance