Security Policy
Securing the AI Risk Operating System
1. Our Commitment to Security
At GramionGroup, security is foundational. As a provider of an AI Risk Operating System, we apply stringent security controls to protect our infrastructure, our customers' data, and our internal operations.
2. Infrastructure Security
Our platform is built on secure, cloud-native architecture. We employ continuous monitoring, automated threat detection, and regular vulnerability scanning to ensure resilience against cyber threats.
3. Data Protection
All data at rest and in transit is encrypted using industry-standard cryptographic protocols. Access to data is strictly governed by the principle of least privilege and requires multi-factor authentication.
4. Vulnerability Management
We maintain a robust vulnerability disclosure program and actively encourage security researchers to report potential issues. Patches and updates are applied systematically to minimize exposure windows.
5. Compliance and Auditing
We continuously review our security posture against leading industry frameworks and regulatory requirements to ensure we meet or exceed established standards for enterprise AI software.
Built for enterprise scale
GramionGroup processes billions of events with sub-second latency, ensuring your risk operation never slows down your customer experience.
Reliability engineered for tier-1 financial institutions.
Real-time risk scoring for instant payment rails.
Enterprise-grade security and data privacy controls.
Seamless Integration Ecosystem
Connect your existing data warehouses, core banking systems, and identity providers in days, not months. Our API-first architecture ensures GramionGroup works wherever your data lives.
- Pre-built connectors for major cores
- Real-time event streaming support
- Secure batch processing capabilities
- Customizable webhooks and callbacks
POST /v1/risk/evaluate
{
"event_type": "transaction.created",
"customer_id": "cust_8f92a",
"amount": 2500.00,
"currency": "INR",
"device_fingerprint": "dev_9x81",
"ip_address": "103.24.5.11"
}