Fragmented context
Evidence spread across tools.
Y-Cipher connects to your existing security stack and deploys specialized AI security agents to investigate threats, correlate evidence, prioritize risk and recommend the next action—while your policies control what can execute.
Y-CipherBounded security agentsSecurity teams have the tools. Investigation still means gathering context, connecting evidence and deciding what to do next. Y-Cipher is being built to bring that work together.
Evidence spread across tools.
Analysts connecting every piece.
Actions that need evidence and control.
A connected investigation, with evidence and governance at every step.
Y-Cipher receives an alert or analyst request from your existing security workflow.
Investigation, response and governance—connected.
Cross-stack alert investigation.
Email threat analysis.
Cross-tool threat hunting.
Evidence-aware security workflows.
Policy-controlled response.
Identity threat investigation.
Context-aware risk prioritization.
Security control evidence.
AI agent access governance.
Y-Cipher is in development. Capabilities shown reflect our product direction.
THE Y-CIPHER PRINCIPLE
An intelligence layer across your existing security investments.
A Security Graph connecting telemetry, identity and business context.
An Evidence Ledger showing what was queried, found and decided.
A Policy Engine between model reasoning and executable action.
Customer Security Memory for known scanners, service accounts and previous incidents.
Bring alerts and evidence together for clearer security decisions.
Move from a recommendation to an action with policy and human approval.
Prioritize exposure using the context that matters to your environment.
Understand what AI agents can access and the actions they can take.
Our design principles put boundaries, evidence and human accountability at the center.
Request only the permissions an investigation needs. Separate read and write scopes where supported.
Keep high-impact actions subject to review, with explicit approval gates.
Design policies to restrict actions against critical users, production systems and resources.
Understand the approach, the boundaries and the path to evaluation.
Start with read-only investigation. Measure the evidence quality and analyst time saved. Add governed actions only when your team is ready.