Security & Data Governance with Loom
Overview
In a landscape shaped by distributed systems, AI pipelines, and data compliance risks, startups and enterprises alike need infrastructure that embeds security and governance from day one. Loom provides a resilient foundation—automated, observable, and policy-driven—to help you ship faster without compromising trust.
Key Capabilities
1. Identity-First Architecture
- Seamless integration with zero-trust network layers
- Automated certificate management and secret rotation
- Role-based access controls tied to real-time identity verification
2. Policy-as-Code for Data Governance
- Declarative policies for data access, retention, and handling
- Audit trails for every data interaction and model input/output
- Fine-grained controls for PII, regulatory zones, and usage contexts
3. AI Workflow Hardening
- Enforced guardrails on model outputs and prompts
- Traceable execution paths for every decision node
- Isolation between training data, inference paths, and system state
4. Infrastructure Visibility & Threat Detection
- Built-in observability for network, compute, and orchestration layers
- Anomaly detection and real-time alerting for unauthorized behavior
- Automatic failover and rollback for vulnerable states
Why It Matters
Traditional security tools weren’t built for dynamic AI systems and event-driven architectures. Loom integrates security and governance at the orchestration layer, allowing teams to build with confidence, scale without fear, and meet evolving compliance needs.
Ideal For
- Startups working with regulated or sensitive data
- Teams deploying AI/ML in production
- Organizations needing fast, auditable workflows with secure defaults
Next Steps
→ Talk to us about secure-by-design infrastructure for your next product release.
→ See a demo of Loom’s policy orchestration and security observability in action.