Company profile

Magier AI

Control layer for enterprise AI, enforcing privacy, compliance, and policy in real time.

magier.aiProfile compiled July 20264 source pages read
Category
Security AI
Headquarters
San Diego, California
Sells to
Mixed
Business model
SaaS subscription
Deployment
Cloud / SaaS
Pricing
Not published
Builds own models
Yes
Modalities
Text

Magier is the control layer for enterprise AI that enforces privacy, compliance, and policy in real time. Regulated teams use Magier to safely deploy generative AI across their organization without risking PII/PHI exposure or audit failures. Magier detects and redacts sensitive data before it reaches any LLM, enforces policy-as-code guardrails, and provides audit-grade visibility across every AI workflow. Magier integrates directly into existing tools and processes, enabling insurers, fintechs, and healthcare organizations to adopt AI confidently with full governance, security, and control. It helps companies monitor AI tool usage, find shadow AI, prepare compliance evidence, and draft AI governance policies. The platform offers governance, protection, and proof in one AI security platform, mapping AI controls to necessary frameworks and providing real-time AI governance posture.

  • Real-time privacy, compliance, and policy enforcement for enterprise AI
  • Detection and redaction of sensitive data before reaching LLMs
  • Policy-as-code guardrails enforcement
  • Audit-grade visibility across AI workflows
  • Integration into existing tools and processes
  • AI tool usage monitoring
  • Shadow AI detection
  • Compliance evidence preparation
  • AI governance policy drafting
  • Mapping AI controls to frameworks
  • AI risk management and visibility
  • Third-party AI vendor and model risk management
  • Audit-ready evidence preparation
  • Questionnaire Automation for drafting responses
  • Magier AI Agent for policy creation, evidence validation, gap identification, and remediation guidance
  • AI discovery, inventory, and risk register for tools, vendors, models, and owners
  • Evidence Room for approvals, logs, policy acknowledgments, and control tests
  • Core AI controls for redaction, blocking, routing, approvals, and monitoring
  • Auditor API and audit-ready exports
  • Access management and vendor AI review workflows
  • Custom AI risk management with dashboards and reporting
  • Advanced Trust Center with buyer-facing AI assurance
  • Custom monitoring tests, evidence automation, and control workflows
  • Automated access management
  • Advanced reporting for compliance, risk, vendors, and AI usage
  • Advanced control management across frameworks and regions
  • Magier Copilot for agentic issue management and remediation
  • Buyer-facing AI assurance chatbot
  • Search across policies, controls, frameworks, and evidence
  • Evidence checks
  • Policy template library
  • Policy generation
  • Evidence collection
  • SLA tracking and remediation
  • Bulk policy importing
  • Control mapping to policies
  • Policy change summaries
  • Issue management
  • Pre-built AI and security controls library
  • Pre-built policy template library
  • Custom SLAs
  • Basic reporting
  • Access to Magier's auditor network
  • Ability to bring your own auditor
  • Framework mapping for SOC 2, ISO 42001, NIST AI RMF, HIPAA, GDPR, Saudi PDPL, UAE PDPL
  • Custom scope for AI workflows, apps, vendors, devices, and employees
  • Continuous monitoring of controls and AI policy drift
  • Personnel policy acceptance tracking
  • Bi-directional task tracker integration
  • AI suggestions to map tests, logs, and documents to custom controls
  • Automated notifications for failed tests
  • Adaptive scoping
  • Team-based ownership on tests and documents
  • Multiple policy approvers
  • Custom fields for controls
  • Personnel onboarding and offboarding
  • Group-specific onboarding and offboarding
  • Custom SLAs for personnel tasks
  • Personnel report
  • Vulnerability management
  • Device Monitor for device encryption, lockscreen, and AV monitoring
  • Asset inventory of software, hardware, AI tools, and custom resources
  • Import for existing risk scenarios and treatment plans
  • Task assignment and tracking
  • AI risk register and risk assessment
  • Risk assessment report
  • API risk endpoints
  • Pre-built risk library for sensitive data leakage, shadow AI, prompt injection, and vendor exposure
  • Risk treatment plans
  • Add custom columns to risk register
  • Automated controls monitoring and evidence gathering (400+ integrations)
  • Automated access reviews
  • Event logs for administrative activity, evidence updates, policy changes, user actions, and login events
  • Data encryption at rest
  • Encryption keys managed via AWS Key Management Service
  • SCIM for user provisioning and deprovisioning
  • IdP support (Office 365, Okta, Google Workspace, OneLogin, JumpCloud)
  • Responsible AI practices (no training AI models with customer data)
  • Safely deploying generative AI across organizations
  • Preventing PII/PHI exposure in AI workflows
  • Avoiding audit failures in AI adoption
  • Monitoring AI tool usage within an organization
  • Identifying shadow AI in an organization
  • Preparing compliance evidence for AI systems
  • Drafting AI governance policies
  • Managing AI risk
  • Staying on top of AI vendor and model risk
  • Showcasing AI governance posture in real time
  • Automating questionnaire responses for security and privacy reviews
  • Governing AI use and compliance evidence at scale
  • Enforcing sensitive data controls
  • Producing audit-ready evidence
  • Scaling AI adoption without manual compliance work
  • Managing complex AI governance programs
  • Preparing for enterprise buyer security, privacy, and governance reviews (for startups)
  • Building trust with buyers through AI security
  • Achieving audit readiness for frameworks like ISO 42001, SOC 2, NIST AI RMF, and PDPL
  • Automating AI governance, security, vendor, and compliance issue management
  • Reviewing access to critical systems, AI tools, approved models, and sensitive workflows
  • Enhancing zero-touch MDR and vCISO solutions with automated RMF evidence collection

Magier AI provides an AI governance platform that enforces privacy, compliance, and policy in real time for enterprise AI. It detects and redacts sensitive data before it reaches LLMs, enforces policy-as-code guardrails, and provides audit-grade visibility. The platform includes a 'Magier AI Agent' that helps create policies, validate evidence, identify gaps, and guide remediation. It also uses AI to draft questionnaire responses and map AI controls to frameworks.

Tech named: LLM, Machine Learning, AI Agent

  • Computer and Network Security
  • Financial Services
  • Insurance
  • Healthcare
  • Technology
  • End-to-end LLM Cybersecurity Solutions
  • Control layer for enterprise AI that enforces privacy, compliance, and policy in real time
  • Detects and redacts sensitive data before it reaches any LLM
  • Enforces policy-as-code guardrails
  • Provides audit-grade visibility across every AI workflow
  • Integrates directly into existing tools and processes
  • Combines AI compliance, risk, and proof in one platform
  • Magier AI Agent acts as an AI governance teammate for policy creation, evidence validation, and remediation
  • Automated, scalable AI governance program
  • Supports 35+ pre-built compliance frameworks with cross-mapping
  • 400+ integrations for automated controls monitoring and evidence gathering
  • Automated RMF evidence collection (Magier Shield)
  • Enterprise-grade security features including data encryption, AWS KMS, SCIM, and IdP support
  • Does not train AI models using customer data

From the AI funding tracker — rounds as reported by the linked publications.

This profile was compiled from Magier AI's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.