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Our AI continuously evaluates identities, behavior, and context,. detecting risk and enforcing safeguards in real time.
Free tier at launch·
Private beta now open: limited onboarding.<300ms
Decision latency
97%+
High-confidence risk detection
Self-hosted
Runs inside your infrastructure
The problem
Today’s tools rely on one-time checks, static rules, or post-incident reviews. Real-world interactions are dynamic. Risk changes in real time.
One-time ID checks and onboarding approvals don’t reflect how risk changes over time.
Users
can pass verification and still become risky later.
Most systems stop evaluating once a user is approved. There is no real-time context, behavior tracking, or evolving risk model.
Risk
is treated as fixed, not dynamic.
Platforms depend on reviews, complaints, and customer support after something goes wrong.
Intervention
happens after the incident.
Features
GlobiSafe continuously verifies every user, evaluates behavior and context, and applies safeguards across your platform in real time.
Run GlobiSafe inside your own infrastructure. Your user data never leaves your environment.
Define how risk is handled across your platform, from identity checks to behavior-based safeguards.
Monitor risk signals, alerts, and safety decisions across users and interactions as they happen.
Automatically escalate edge cases to your internal team with full context and audit trail.
Built-in reporting for audits, regulators, and internal risk teams.
Pre-configured safety models for marketplaces, mobility, fintech, healthcare, and more.
Integration
Works with your existing backend. API and SDK support across major stacks. Deploy cloud or private.
1import { GlobiSafe } from '@globisafe/node';23const safe = new GlobiSafe({ apiKey: process.env.GLOBISAFE_KEY });45const result = await safe.moderate(userMessage);67if (!result.safe) {8 // Block, flag, or redact based on your policy9 console.log(result.categories); // { fraud: 0.92, toxicity: 0.15 }10}Architecture
Most interactions are evaluated in milliseconds. Only complex edge cases require deeper analysis or human review.
Instant checks for obvious risk signals — identity mismatches, velocity spikes, known bad actors, policy violations.
Evaluates patterns across messages, bookings, timing, and user history to detect abnormal or unsafe behavior.
Understands conversation flow, timing, and context to detect manipulation, coercion, or emerging risk.
High-risk or ambiguous cases are routed to your internal team with full context and audit trails.
Deployment
All safety checks run inside your environment. No third-party data sharing. No external dependencies.
# Deploy GlobiSafe in one commanddocker run -d -p 8080:8080 globisafe/engine:latest1services:2 globisafe:3 image: globisafe/engine:latest4 ports:5 - "8080:8080"6 volumes:7 - ./policy.yaml:/config/policy.yaml8 environment:9 - GLOBISAFE_LICENSE_KEY=your_key10 - DATABASE_URL=postgres://...11 restart: unless-stoppedAll identity checks, risk detection, and safeguards operate within your infrastructure. No external data sharing.
Run the AI safety engine inside your existing infrastructure — cloud, on-prem, or hybrid.
Designed for regulated, high-trust platforms where privacy, control, and reliability are non-negotiable.
2.9-4.1x
Lower Safety Cost
Reduce moderation and fraud overhead vs. third-party APIs
<500ms
Risk Decisions
Real-time safeguards before harm spreads.
99.9%
Infrastructure Reliability
Built for mission-critical platforms
Pricing
Start free. Scale as you grow. Self-host when you need full control.
For early-stage platforms testing safety infrastructure
For platforms launching publicly
For high-volume platforms
For regulated and mission-critical platforms
Deploy continuous AI risk monitoring across your platform with real-time safeguards and full data control.
Limited beta access. Enterprise pilot slots available.