Frequently Asked Questions

CanopyIQ is a runtime security platform for AI agents that provides guardrails, approval workflows, and observability for enterprise AI workloads. We enable organizations to safely deploy AI agents at scale with comprehensive policy enforcement and audit capabilities.

Unlike traditional AI security tools that focus on model training or inference protection, CanopyIQ operates at the runtime level where agents interact with tools and APIs. We provide real-time policy enforcement, human-in-the-loop approvals, and cross-vendor compatibility across all major AI platforms.

Enterprise organizations across finance, healthcare, government, and technology sectors use CanopyIQ to secure their AI agent deployments. Our platform is designed for teams running production AI workloads that require enterprise-grade security, compliance, and governance.

Most organizations can integrate CanopyIQ within days using our SDK or sidecar deployment. We provide comprehensive documentation, migration guides, and dedicated support to ensure smooth onboarding with minimal disruption to existing workflows.

CanopyIQ employs end-to-end encryption, zero-trust architecture, and cryptographic policy signatures. We never store your proprietary data - our platform operates on metadata and policy decisions only. All sensitive information remains within your infrastructure.

We maintain SOC 2 Type II, ISO 27001, and FedRAMP compliance. Our platform is designed to meet the strictest enterprise security requirements with regular third-party security audits and penetration testing.

Yes, CanopyIQ supports offline deployment with signed local policies that enable sub-10ms decision making even when disconnected from the control plane. This ensures security enforcement continues even in air-gapped or network-isolated environments.

Every agent action is logged with full context including user identity, timestamp, policy decisions, and outcomes. Audit logs are exported to your existing SIEM systems (Splunk, Sentinel, Datadog) with configurable retention and compliance reporting.

CanopyIQ offers flexible deployment options including cloud (AWS, Azure, GCP), on-premises, hybrid, and edge deployments. We provide Docker containers, Kubernetes Helm charts, and Terraform modules for seamless infrastructure integration.

We support all major AI platforms including OpenAI, Anthropic Claude, AWS Bedrock, Azure OpenAI, Google Vertex AI, and custom agent frameworks. Our universal SDK provides consistent policy enforcement across any AI provider.

CanopyIQ integrates through lightweight SDKs or sidecar proxies with minimal code changes. We support standard protocols (HTTP, gRPC) and provide native integrations with popular CI/CD pipelines, monitoring tools, and identity providers.

CanopyIQ adds less than 10ms latency to agent operations with local policy caching. Our distributed architecture scales horizontally and can handle millions of agent actions per day with negligible performance impact.

Yes, CanopyIQ provides pre-built compliance packs for GDPR, HIPAA, SOX, and other regulatory frameworks. Our audit trails, data governance controls, and approval workflows help organizations meet complex compliance requirements for AI systems.

CanopyIQ can be deployed in any region or jurisdiction to meet data residency requirements. Our on-premises and private cloud options ensure complete control over data location and processing while maintaining full security functionality.

CanopyIQ generates automated compliance reports with detailed audit trails, policy adherence metrics, and risk assessments. Reports can be customized for specific regulatory frameworks and exported in various formats for auditor review.

CanopyIQ implements configurable data retention policies with automated deletion capabilities. Organizations can set retention periods based on regulatory requirements and business needs, with secure deletion and compliance verification.