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Improve Prompt Injection and Jailbreak Detection Accuracy #144

@coderabbitai

Description

@coderabbitai

🧠 Detection Accuracy Improvement

Description

Improve the core detection engine's accuracy for identifying prompt injection and jailbreak attempts, reducing both false positives and false negatives.

Tasks

  • Audit current detection logic and identify common false positive patterns
  • Research and incorporate latest prompt injection attack vectors (2024/2025)
  • Improve detection for multi-turn jailbreak attempts
  • Add detection for indirect prompt injection attacks
  • Tune confidence scoring thresholds
  • Benchmark detection accuracy against a labeled dataset
  • Document detection methodology and limitations

Acceptance Criteria

  • Reduction in false positive rate (document baseline first)
  • Coverage of major jailbreak categories
  • All changes backed by test cases

Difficulty: 🔴 Hard / 🔴 Critical

Labels: ai/ml enhancement critical SSoC26

The core mission of TENET — make the detection engine smarter and more robust!

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    Hard40 ptsSSoC26Social Summer of Code 2026 S5ai/mlAI/ML relatedcriticalCritical priorityenhancementNew feature or request

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