See the whole attack.
Respond with evidence.
CERYNZA connects security signals across applications, identities, endpoints, cloud, and network—then uses governed AI agents to investigate incidents, recommend actions, and execute approved responses.
Your SOC does not need more alerts.
It needs connected evidence.
Fragmented telemetry
Alerts live across WAF, endpoint, identity, network, cloud, email, and vulnerability systems.
Manual investigation
Analysts pivot between consoles before they can explain what happened and what is affected.
Unsafe automation
Response without evidence, approval, scope, and rollback creates a new operational risk.
Follow the evidence, not the dashboard decoration.
This illustrative workflow shows how signals become an investigation, a decision, and a governed response. Technical validation should replace the scenario with your own anonymized incident.
Step 1 of 5
Suspicious mining behavior appears
Network telemetry observes repeated miner check-in behavior and connections to infrastructure associated with mining activity.
- Periodic outbound connection
- Known mining protocol pattern
- New destination for this asset
A readable path from source to response.
Each layer has a distinct responsibility. The architecture review confirms where data moves, where AI runs, and which systems can enforce an approved action.
Explore the platformSources
WAF · Endpoint · Identity · DNS · Network · Cloud · Email · Vulnerability
Security Data Fabric
Collectors · Parsers · Normalization · Deduplication · Enrichment · Retention
Evidence Graph
User · Host · IP · Domain · Process · Alert · Vulnerability · Incident
Detection & AI
Detection rules · Behavior analytics · Risk scoring · AI investigation · Incident narrative
Governed Response
Approval · Separation of duties · Dry run · Timeout · Rollback · Audit trail
Choose how much autonomy you allow.
Set boundaries by incident type, asset group, action risk, approver, operating window, confidence, timeout, and rollback requirement.
One evidence model. Six focused capabilities.
Every product page explains its workflow, technical boundaries, validation questions, and path to a controlled deployment.
AI SOC
CERYNZA SOC links identities, assets, processes, network activity, application events, and historical alerts into one explainable investigation.
Explore AI SOCXDR & SIEM
Collect and normalize signals from your existing environment, then connect them around the users, assets, processes, and incidents your team needs to investigate.
Explore XDR & SIEMNetwork Detection
Connect DNS, flow, protocol, destination, and asset context to expose command-and-control, lateral movement, suspicious egress, and policy violations.
Explore Network DetectionWAF & API Security
Apply adaptive application controls, virtual patching, API visibility, abuse prevention, and evidence export through a deployment model your team can validate.
Explore WAF & API SecurityThreat Intelligence
Combine external indicators with assets, identities, incidents, local sightings, exposure context, and indicator aging.
Explore Threat IntelligenceSecurity Automation
Every action follows defined approval, scope, timeout, rollback, error-handling, and audit policies.
Explore Security AutomationDeploy where your security data needs to stay.
Design CERYNZA for on-premises, private cloud, virtual appliance, or hybrid operations. Validate model location, data movement, retention, tenancy, availability, and recovery before production.
- Customer-controlled data path
- Distributed sensors and collectors
- Architecture for private and sovereign environments
Connect the controls and telemetry you already operate.
Integration status should be explicit—Native, API, Syslog, Webhook, or Planned—after connector validation.
Review the integration modelBring one real incident. See how CERYNZA investigates it.
Walk through an evidence-driven investigation using your security architecture, telemetry sources, and response requirements.