Product
Catcher
From reported email to explainable verdict.
Catcher helps security teams process suspicious emails faster with evidence-based analysis, explainable scoring, calibrated confidence, and risk-driven automation.
- Evidence-first phishing analysis
- Calibrated confidence and explainable verdicts
- Policy-driven triage and escalation paths
Why Catcher
Built for the messages users still report and analysts still need to validate.
Catcher is built for enterprise security operations teams that need to scale phishing response without sacrificing accuracy, transparency, or governance. It complements the existing email security stack with a more explainable and policy-aware reported-message workflow.
Capabilities
What Catcher does
Evidence extraction
Parse suspicious email content, headers, authentication signals, URLs, attachments, impersonation indicators, and domain lookalike signals into structured evidence.
Deep inspection
Combine deterministic analysis with controlled LLM-assisted semantic analysis as one input within the overall decision process.
Explainable scoring
Return a verdict, calibrated confidence, and risk-based prioritization so analysts understand not only what was flagged, but why.
Policy-driven automation
Tune how and when actions are triggered so low-risk submissions can be handled automatically while ambiguous or high-risk cases are routed appropriately.
Best-fit Use Cases
A better fit for suspicious-email workflows.
Report-phish workflows
SOC and helpdesk triage
Analyst investigation
MSSP tenant-based handling
Integrated backend or case-management workflows
Flexible delivery for phishing analysis workflows.
Catcher can be delivered as SaaS, managed service, tenant-hosted, or as an embedded or backend-integrated analysis component depending on the operating model.
Validation Process
Validate triage fit against your reported-email workflow.
Catcher evaluations focus on evidence quality, verdict consistency, policy controls, and queue-handling impact for your analyst and helpdesk teams.
Works Best With
Catcher gets more actionable when phishing is linked to detection and operations.
How It Works
Evidence extraction, explainable scoring, controlled response.
Step 01
Ingest and extract evidence
Process reported emails, headers, authentication signals, URLs, and attachments into structured analyst-ready context.
Step 02
Analyze and score with explainability
Combine deterministic checks with bounded semantic analysis to produce calibrated confidence and clear verdict reasoning.
Step 03
Route and resolve with policy
Automate low-risk handling while escalating ambiguous and high-risk submissions into managed response workflows.
FAQ
Common questions about Catcher operations and governance.
Can Catcher reduce analyst queue load without losing control?
Yes. Catcher automates low-risk paths through policy while preserving analyst review and escalation for uncertain or high-risk submissions.
How are verdicts explained to analysts and stakeholders?
Each verdict includes evidence linkage, confidence context, and risk rationale so teams can understand both what was flagged and why.
Can Catcher integrate into existing incident workflows?
Yes. Catcher can run standalone, as a managed service, or integrated into broader SignalMind and Cogpit operations.