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feat: implement Tier3Brain for cognitive threat hunting #219

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feat: implement Tier3Brain for cognitive threat hunting #219

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14 changes: 14 additions & 0 deletions internal/brain/tier3/brain.go
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package tier3

import "fmt"

// Tier3Brain provides high-level cognitive security analysis for autonomous agents.
type Tier3Brain struct {
FleetID string
}

func (b *Tier3Brain) AnalyzeThreat(threatData string) string {
fmt.Printf("Analyzing threat for fleet %s: %s\n", b.FleetID, threatData)
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@chatgpt-codex-connector chatgpt-codex-connector bot Mar 24, 2026

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P1 Badge Avoid logging full threat data to stdout

AnalyzeThreat unconditionally prints raw threatData via fmt.Printf, which can expose sensitive security telemetry or prompt content in process stdout logs when this runs in production with centralized log collection. Because this emission is hardcoded in the core analysis path, callers cannot prevent leakage; this should be gated behind a configurable logger with redaction or removed from the hot path.

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// Tier-3 reasoning for complex attack vectors
return "Mitigation Strategy: Isolation"
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P1 Badge Derive mitigation from threat input

AnalyzeThreat always returns the same mitigation string and never branches on threatData, so the new Tier3 brain cannot perform differentiated or multi-stage threat handling despite its intended purpose. In practice, all threats (including materially different attack vectors) will receive identical containment guidance, which can lead to incorrect automated response behavior.

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}