📋 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)

\n
ComponentMinimum 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/Edge110+Recommended for optimal dashboard rendering
Firefox115+Full feature support
Safari16.4+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.

data-flow-diagram.txt
# 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.

GET /v3/tenants/{id}/threats
# 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.

r>
Standard/Framework Status Audit Frequency Scope
SOC 2 Type IICertifiedAnnualSecurity, Availability, Confidentiality
ISO 27001:2022CertifiedAnnualInformation Security Management
GDPR / CCPACompliantContinuousData Privacy & Subject Rights
HIPAA BAAAvailableQuarterly ReviewPHI Protection & Audit Logging
PCI DSS v4.0In ProgressSemi-AnnualPayment 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 Uptime99.99%Cloud provider health checks + custom synthetic monitors
API Latency (p95)< 120msGlobal edge distribution with regional failover
Event Ingestion Rate2,000,000 EPSHorizontal scaling with partitioned stream processing
Threat Detection Latency< 500msTime from event ingestion to alert generation
Data Retention7 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
v3.4.22025-03-10PatchFixed edge-case deserialization vulnerability in webhook parser. Updated TLS cipher suites.
v3.4.12025-02-28PatchPerformance optimization for high-volume log ingestion. Reduced memory footprint by 18%.
v3.4.02025-02-15MinorAdded support for eBPF-based process monitoring. New GraphQL endpoint for threat intelligence.
v3.3.52025-01-20PatchSecurity hardening: enforced mTLS for internal service mesh. Updated dependency packages.
v3.3.02024-12-05MinorIntroduced automated incident response playbooks. Enhanced dashboard visualization engine.