Autonomous Agents

Autonomous Security Orchestrators

Eliminate alert fatigue by tracing code logic to prove false positives.

Standard SCA tools and Dependabot alerts are drowning engineering teams in noise. Security Orchestrators solve this by acting as autonomous detectives. They dynamically investigate CVEs, map business logic, and perform control flow analysis to prove false positives and eliminate alert fatigue.

turingmind-orchestrator
19:18:15Initializing Autonomous Triage for CVE-2024-XXXX
19:18:15_

The Outcome: Phantom CVE Suppression

Stop chasing phantom vulnerabilities. Most SCA tools flag a project as vulnerable simply because a flawed package is listed in `package.json`.

The TuringMind Orchestrator goes deeper. It doesn't just look at versions; it uses its integrated QnA tool to trace the control flow of your application. If a vulnerable dependency is present, but the agent determines that the specific vulnerable function is never called, or that input sanitization occurs upstream, it automatically suppresses the alert as a Confirmed False Positive with a high confidence score.

Worked Example: CVE-2019-10744

Here's a real investigation trace against the notorious lodash Prototype Pollution vulnerability (CVSS 9.8 Critical). This is exactly what the Orchestrator does — in 14 seconds, autonomously, with zero developer hours.

Case Study · CVE-2019-10744 · lodash Prototype Pollution
14s
1
Dependabot Alert
lodash@4.17.4 flagged — CVSS 9.8 Critical. Prototype Pollution via _.merge(). Affects all callers.
2
Orchestrator Plans
> Planner: "Find all call sites of _.merge in the codebase and trace their input sources."
3
Graph Traversal
turingmind_qna_tool: Found 1 call site → api/utils/config.ts:L42. Input: req.body.settings
4
Control Flow Analysis
turingmind_qna_tool: Tracing req.body.settings upstream… passes through validateUserInput() at L18.
5
Evidence Synthesis
validateUserInput() enforces strict JSON schema — no user-controlled prototype keys can pass. Input is sanitized.
SUPPRESSED
{ "triage_status": "false_positive", "confidence_score": 96 }
Total investigation time: 14 seconds · Zero developer hours consumed

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