ArgonautArgonaut

User Journey

Argonaut User Journey

Before vs. After Argonaut: Eradicating Manual Triage Pain

Before Argonaut

Manual, Fragmented, Multi-System Triage

Trigger Event

CI pipeline completes. GitHub + SCA tool push new findings. Engineer receives SARIF alerts, Snyk notifications, emails, and Slack pings.

  • Step 1: Tool Hopping (20-40m)Opening 8+ tools, downloading files, checking CVE pages manually. Cognitive overload.
  • Step 2: Manual Correlation (30-60m)Grepping codebase, inspecting dependency tree, checking exploit reports. Heuristic guesswork.
  • Step 3: Prioritization Guesswork (20m)Narrowing 800 findings down to 12. Subjective, not deterministic.
  • Step 4: Action Creation (20-30m)Manually creating Jira tickets, linking CVEs, posting to Slack.
Total Time: 1.5 to 3 hours
Emotional State: Cognitive overload, fatigue
Transformation

After Argonaut

Agent-Orchestrated, Context-Driven, Action-Complete

Trigger Event

"Argonaut, triage payment-service build 128."

  • Step 1: Acquisition (<10s)Ingests SARIF, lockfile, SBOM. Normalizes findings automatically.
  • Step 2: Enrichment (<15s)Matches CVEs to intel (KEV/EPSS), runs reachability, adds blast radius metadata.
  • Step 3: Deterministic Scoring (<5s)ES|QL joins findings + intel + reachability. Ranks 800 findings → 5 fix-first automatically.
  • Step 4: Action (1 Click)Engineer clicks "Create Tickets". Argonaut creates Jira tickets and posts Slack summary.
Total Time: < 2 minutes
Emotional State: Confidence, clarity, no guesswork

Side-by-Side Comparison

Stage Before After Argonaut
Tools opened 5–8 1
Manual joins Yes No (ES|QL)
Reachability check Manual grep Automated
Threat intel lookup Manual Automated
Ticket creation Manual Automated
Time 1.5–3 hours < 2 minutes
Confidence Heuristic Evidence-backed
Audit trail Scattered Centralized

System-Level Impact

Before

  • Triage knowledge lives in individuals.
  • Prioritization varies between engineers.
  • High cognitive load.
  • Repeated manual steps every build.

After

  • Triage becomes standardized.
  • Prioritization is deterministic.
  • Every decision is explainable.
  • Action is integrated into workflow.

"Before Argonaut, triage required manually correlating SARIF, lockfiles, CVE feeds, and Slack threads. After Argonaut, one request triggers structured ingestion, ES|QL joins, deterministic scoring, and automated Jira/Slack actions — all in under a minute."

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