Technical Specifications
Comprehensive technical documentation, system requirements, API references, and architectural guidelines for CyberVault Enterprise Security Platform.
📋 Platform Overview
CyberVault is a cloud-native, AI-driven cybersecurity platform designed for enterprise threat detection, incident response, and compliance automation. The system operates on a zero-trust architecture with multi-tenant isolation, real-time telemetry processing, and automated remediation workflows.
Core Engine
Real-time event processing pipeline handling 2M+ events/sec with sub-millisecond latency using Apache Flink and custom eBPF probes.
AI/ML Layer
Ensemble of transformer-based models for anomaly detection, behavioral analysis, and automated threat classification with <0.02% false positive rate.
Data Lake
Immutable, encrypted storage with tiered retention policies. Supports parquet optimization and columnar indexing for rapid forensic queries.
⚙️ System Requirements
Endpoint Agents (CyberVault Sensor)
| Component | \nMinimum | Recommended |
|---|---|---|
| Operating System | Windows 10/11, RHEL 8+, Ubuntu 20.04+, macOS 12+ | Latest LTS releases |
| CPU | 2 cores, 2.0 GHz | 4+ cores, 2.5 GHz+ |
| RAM | 2 GB | 4 GB+ |
| Disk | 500 MB available | 1 GB+ (for local buffering) |
| Network | TLS 1.2+, outbound 443/TCP | Low latency, <50ms to regional edge |
Management Console (Web)
| Browser | Version | Notes |
|---|---|---|
| Chrome/Edge | 110+ | Recommended for optimal dashboard rendering |
| Firefox | 115+ | Full feature support |
| Safari | 16.4+ | macOS/iOS supported |
| Node.js (CLI) | 18.0+ | Required for SDK & script integrations |
🏗️ Architecture & Data Flow
The platform follows an event-driven microservices architecture with strict boundary isolation. All data in transit uses TLS 1.3, and data at rest is encrypted using AES-256-GCM with customer-managed keys (CMK) supported.
# High-level telemetry pipeline
Endpoint Agent → mTLS Auth → Edge Ingress (CloudFront/ALB)
↓
API Gateway → Route53/WAF → Auth Service (OAuth 2.0 / OIDC)
↓
Stream Processor (Flink) → Real-time Correlation Engine
↓
├─ Threat Detection (ML Inference) → Alert Queue (Kafka)
├─ Compliance Engine → Policy Evaluator → Remediation API
└─ Data Lake (S3/GCS) → Columnar Index → Query Engine (Trino)
- Multi-tenancy: VPC-isolated environments with dedicated compute and storage namespaces per organization.
- State Management: Redis Cluster for session/state, PostgreSQL for metadata, TimescaleDB for time-series telemetry.
- Disaster Recovery: Active-active multi-region deployment with RPO < 5 minutes, RTO < 15 minutes.
🔌 API & Integration Specifications
REST API
Versioned RESTful endpoints supporting JSON payload formatting. Rate limited to 1000 req/min per API key, with burst allowance of 50 req/s.
# Retrieve recent threats with pagination
GET https://api.cybervault.io/v3/tenants/ten_8f3a2c1d/threats
Headers:
Authorization: Bearer <access_token>
X-Request-ID: uuid-v4
Accept: application/json
Response (200 OK):
{
"data": [
{
"id": "evt_9x7k2m1p",
"severity": "high",
"type": "lateral_movement",
"timestamp": "2025-03-14T08:22:15Z",
"source_ip": "10.0.4.12",
"confidence": 0.94
}
],
"meta": { "total": 142, "page": 1, "limit": 50 }
}
Webhooks & SDKs
- Webhook Delivery: Guaranteed at-least-once delivery with exponential backoff and dead-letter queue routing.
- Supported SDKs: Python 3.9+, Go 1.20+, Node.js 18+, Java 11+, .NET 6+.
- Authentication: OAuth 2.0 Client Credentials, mTLS for service-to-service, API keys with scope-based RBAC.
🔒 Security Standards & Compliance
CyberVault infrastructure and data handling processes adhere to internationally recognized security frameworks and undergo regular third-party audits.
| Standard/Framework | Status | Audit Frequency | Scope |
|---|---|---|---|
| SOC 2 Type II | Certified | Annual | Security, Availability, Confidentiality |
| ISO 27001:2022 | Certified | Annual | Information Security Management |
| GDPR / CCPA | Compliant | Continuous | Data Privacy & Subject Rights |
| HIPAA BAA | Available | Quarterly Review | PHI Protection & Audit Logging | r>
| PCI DSS v4.0 | In Progress | Semi-Annual | Payment Data Environment |
Internal Security Controls
- Zero-trust network architecture with micro-segmentation and dynamic policy enforcement
- Hardware Security Modules (HSM) for key management and cryptographic operations
- Automated vulnerability scanning (SAST/DAST/SCA) in CI/CD pipelines
- Bug bounty program active with responsible disclosure policy
- Immutable audit trails with tamper-evident logging (WORM storage)
📊 Performance & SLA Metrics
| Metric | Target | Measurement Method |
|---|---|---|
| Platform Uptime | 99.99% | Cloud provider health checks + custom synthetic monitors |
| API Latency (p95) | < 120ms | Global edge distribution with regional failover |
| Event Ingestion Rate | 2,000,000 EPS | Horizontal scaling with partitioned stream processing |
| Threat Detection Latency | < 500ms | Time from event ingestion to alert generation |
| Data Retention | 7 years (encrypted) | Tiered lifecycle: Hot → Cold → Archive |
SLA Credits: Service credits are automatically applied to account balances for downtime exceeding 99.99% availability. Enterprise contracts may include financial penalties and dedicated response teams.
🚀 Deployment Options
Cloud (SaaS)
Fully managed multi-tenant environment. Auto-scaling, patch management, and infrastructure updates handled by CyberVault. Available in 12 global regions.
Private Cloud / Air-Gapped
Deployed within customer VPC or on-premises data center. Requires minimum 4-node Kubernetes cluster. Network isolation and custom certificate provisioning supported.
Hybrid
Telemetry processed locally with cloud-based AI inference and compliance reporting. Ideal for regulated industries requiring data residency.
Infrastructure as Code
Reference deployments available via Terraform modules and Helm charts. Supports AWS CDK, Pulumi, and Ansible for configuration management.
📝 Version History
| Version | Date | Type | Notes |
|---|---|---|---|
v3.4.2 | 2025-03-10 | Patch | Fixed edge-case deserialization vulnerability in webhook parser. Updated TLS cipher suites. |
v3.4.1 | 2025-02-28 | Patch | Performance optimization for high-volume log ingestion. Reduced memory footprint by 18%. |
v3.4.0 | 2025-02-15 | Minor | Added support for eBPF-based process monitoring. New GraphQL endpoint for threat intelligence. |
v3.3.5 | 2025-01-20 | Patch | Security hardening: enforced mTLS for internal service mesh. Updated dependency packages. |
v3.3.0 | 2024-12-05 | Minor | Introduced automated incident response playbooks. Enhanced dashboard visualization engine. |