How It Works

CyberVault operates on a continuous security lifecycle, automating detection, analysis, and response across your entire digital footprint.

1

Ingest

Lightweight agents & network taps collect telemetry, logs, and traffic metadata.

2

Analyze

AI engine correlates signals against threat intel & behavioral baselines.

3

Respond

Automated playbooks isolate threats, block IPs, and enforce access controls.

4

Report

Real-time dashboards & compliance-ready reports keep stakeholders informed.

Platform Architecture

Our microservices-based architecture ensures horizontal scalability, fault tolerance, and seamless integration with existing security stacks.

Choose the deployment model that aligns with your infrastructure and regulatory requirements:

  • Cloud-Native (SaaS): Fully managed, zero-maintenance deployment with global edge distribution. Ideal for fast onboarding.
  • Hybrid Cloud: Core processing in the cloud with local agents for data sovereignty and low-latency response.
  • On-Premise / Air-Gapped: Full sovereign deployment for highly regulated environments with offline threat correlation capabilities.
  • Containerized (K8s): Helm chart deployment for DevSecOps pipelines and cloud-native workloads.

Native connectors for 200+ platforms. Extend CyberVault's reach across your entire tech stack:

AWS Security Hub
Azure Sentinel
GCP Security Command Center
Splunk
Palo Alto Networks
Fortinet
Okta / Azure AD
Jira / ServiceNow
Slack / Teams
REST API
Webhooks
STIX/TAXII

Built-in policy templates and automated evidence collection for major regulatory frameworks:

  • SOC 2 Type II & ISO 27001 readiness
  • GDPR, CCPA, and global data privacy mandates
  • HIPAA, HITRUST, and healthcare data protection
  • PCI-DSS, NIST CSF, and FedRAMP Moderate/High
  • Custom regulatory rule engine for industry-specific requirements

Technical Specifications

EncryptionAES-256-GCM at rest, TLS 1.3 in transit, FIPS 140-2 validated modules
ScalabilityHorizontal auto-scaling, supports 10M+ events/sec, multi-region active-active
Latency<15ms average detection-to-response time, sub-5ms for critical alerts
AI/ML ModelsTransformer-based anomaly detection, behavioral UEBA, adversarial training
High Availability99.99% uptime SLA, automated failover, geo-redundant backups
API & DevOpsGraphQL & REST APIs, CLI tools, Terraform provider, OpenTelemetry support
AuthenticationMulti-factor, SCIM provisioning, SAML 2.0, OAuth 2.0, RBAC/ABAC

Frequently Asked Questions

How long does onboarding typically take?

Cloud deployments are operational within 48 hours. Hybrid and on-premise setups typically require 1-2 weeks depending on network complexity and compliance requirements. Our onboarding engineers handle initial configuration and baseline tuning.

Can CyberVault integrate with our existing SIEM?

Yes. We offer native connectors for Splunk, Elastic, Azure Sentinel, and IBM QRadar. All telemetry can be forwarded via Syslog, CEF, or LEF formats, and our API supports custom pipeline mapping.

Is our data used to train your AI models?

No. Customer data is strictly isolated and encrypted. Our threat intelligence models are trained on anonymized, aggregated patterns and external feeds. You retain full ownership and can purge data at any time.

What happens during a regional outage?

CyberVault uses an active-active multi-region architecture. If one region experiences degradation, traffic automatically shifts to the next healthy zone with zero data loss. Agents cache events locally and sync once connectivity is restored.

Ready to integrate CyberVault?

Speak with our solution architects, download the technical whitepaper, or schedule a hands-on proof-of-concept in your environment.