Magier AI delivers an end‑to‑end security layer for enterprise generative AI use, monitoring and protecting every LLM interaction in real time. Its browser extension and API‑based Shield mask sensitive data locally, detect prompt injection and other threats, and provide compliance dashboards and audit logs without sending data to external servers.
Funding
$100K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations using generative AI face hidden security risks such as prompt injection, model poisoning, and accidental exposure of personally identifiable information (PII) when interacting with large language models (LLMs). These threats can lead to data breaches, regulatory violations (GDPR, CCPA, HIPAA), and loss of trust.
Solution
Magier AI provides an end‑to‑end security layer that monitors and protects every LLM interaction in real time. A browser extension and API‑based “Shield” detect and mask sensitive data locally before it leaves the user’s device, then unmask safe responses after processing. The system uses AI‑driven pattern recognition and customizable plain‑language policies to identify PII, custom identifiers, and malicious prompts. All detection runs zero‑trust on the client side, ensuring data never leaves the browser, while compliance dashboards and role‑based access controls give enterprises visibility and auditability. Magier integrates with major LLM providers (OpenAI, Anthropic, Google) and works across web applications, SaaS endpoints, and internal tools without performance impact.
Target Audience
Primary customers are enterprise security and compliance teams, as well as developers and IT departments that deploy generative AI tools across the organization.
Features
- Real‑time data loss prevention that masks PII in browser inputs and restores safe outputs with sub‑millisecond latency
- AI‑powered detection engine that learns custom data patterns and supports plain‑English policy definitions
- Zero‑trust architecture: all processing occurs locally, preventing data exfiltration during detection
- Pre‑configured compliance labels for GDPR, CCPA, HIPAA, SOC 2 and automatic updates as regulations evolve
- Seamless integration via a one‑line SDK or browser extension, compatible with OpenAI, Anthropic, Google and other LLMs
- Role‑based access control and detailed audit logs for team visibility and regulatory reporting
- Centralized compliance dashboard with real‑time analytics, alerts, and policy management across departments
- Scalable API (Magier Shield) for enterprise applications, offering instant classification, labeling, and redaction of text or files