Ambient Siphon: Zero-Refactor AI Governance
The Refactor Tax
Traditional AI governance platforms require:
- SDK integration across 50+ services
- API instrumentation rewrites
- Team training and migration
- 6-12 months of implementation
This "refactor tax" creates a barrier that delays governance adoption while AI agents are already making decisions.
The Ambient Approach
Ambient ingestion means capturing decision context from your existing data streams - without modifying source systems.
Mala.dev's Sidecar siphons intent from:
- **Datadog**: Deployment logs and APM traces
- **Splunk**: Security and operational events
- **Slack**: Decision approvals and escalations
- **Jira**: Workflow state changes
- **Salesforce**: Customer interaction context
Deployment Timeline: 2 Hours
1. Point Siphon at existing streams 2. Deploy Sidecar to your VPC 3. Done.
VPC-Native Architecture
The Sidecar runs entirely within your infrastructure. Your data never leaves your perimeter. This addresses the primary concern of enterprises adopting AI governance: data sovereignty.
The Result
Legal-grade audit trails from your existing infrastructure, transformed into decision context in minutes - not months.