Jiffy provides an AI access security broker that aggregates real‑time usage data from SaaS AI tools into a single console, allowing security and compliance teams to monitor API calls, model invocations, and data flows. Its policy engine automatically enforces role‑based access, usage quotas, and data‑handling rules while an AI‑driven risk score flags potential data leakage or compliance violations, and all activity is recorded in an immutable audit log for reporting.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises increasingly adopt a variety of AI SaaS applications without centralized oversight, creating “shadow AI” that bypasses IT controls. This uncontrolled usage can lead to data exfiltration, policy violations, and regulatory non‑compliance, while security teams lack real‑time visibility into which models and services are being accessed.
Solution
Jiffy delivers an enterprise AI access security broker that aggregates usage data from all AI tools across the organization into a single console. The platform continuously monitors API calls, model invocations, and data flows, applying automated governance policies to block unauthorized access and flag risky behavior. Built‑in risk scoring evaluates each AI interaction against data‑privacy and compliance criteria, generating actionable alerts for security and compliance teams. Integration points include native connectors for major AI providers and a RESTful API for custom tools, enabling seamless enforcement without disrupting user workflows. All activity logs are stored in a tamper‑evident audit trail, supporting forensic analysis and regulatory reporting.
Target Audience
Primary customers are enterprise security, risk, and compliance teams in mid‑size to large organizations that deploy multiple AI SaaS tools and need centralized governance and visibility.
Features
- Real‑time telemetry collection from SaaS AI platforms (e.g., OpenAI, Anthropic, Azure AI) via API proxies and SDK hooks
- Policy engine that enforces role‑based access, usage quotas, and data‑handling rules automatically
- AI‑driven risk scoring that rates each request for data leakage, model misuse, and compliance exposure
- Centralized dashboard with usage heatmaps, trend analytics, and drill‑down audit logs for incident response
- Secure, immutable audit log stored in encrypted cloud storage, exportable in JSON, CSV, or SIEM formats
- RESTful integration API and pre‑built connectors for rapid onboarding of new AI services
- Configurable alerting via email, Slack, or SIEM webhook for real‑time incident notification
- Role‑based access control for administrators, auditors, and business unit managers