Defense-in-Depth Security

Protecting your critical AI infrastructure, intellectual property, and sensitive data with uncompromising security practices.

Security First Principles

Zero Trust Architecture

We operate on a strictly enforced zero-trust model. Every access request, whether human or machine, is continuously authenticated and authorized based on context and least-privilege principles.

Data Protection & Encryption

All data passing through the GramionGroup platform is encrypted in transit using modern TLS and at rest using AES-256. We employ advanced key management practices to ensure your cryptographic material remains secure.

Adversarial Defense

AI systems introduce novel attack vectors. Our platform is built from the ground up to defend against modern AI threats.

Prompt Injection Prevention

Advanced filtering and validation to detect and neutralize malicious inputs designed to manipulate LLM behavior.

Critical

Model Inversion Defense

Techniques to prevent attackers from extracting sensitive training data through repeated model querying.

Critical

Data Poisoning Detection

Continuous monitoring of training pipelines to identify anomalous or maliciously crafted data samples.

High

Built for enterprise scale

GramionGroup processes billions of events with sub-second latency, ensuring your risk operation never slows down your customer experience.

99.99%
Uptime SLA

Reliability engineered for tier-1 financial institutions.

<50ms
Decision Latency

Real-time risk scoring for instant payment rails.

SOC 2
Type II Certified

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
View All Integrations
API Request Payload
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"
}