Explore/benchmark/RIFT-Bench: Dynamic Red-teaming For Agentic AI Systems
R

Yarin Yerushalmi Levi, Roy Betser, Amit Giloni, Lidor Erez, Itay Gershon, Oren Rachmil, Sindhu Padakandla, Roman Vainshtein/RIFT-Bench: Dynamic Red-teaming For Agentic AI SystemsUnknown

RIFT-Bench is a benchmark framework for dynamic red‑teaming of agentic AI systems, providing automated discovery and scanning of agent architectures to evaluate security across diverse implementations.

benchmark
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OverviewActivity52wAlternativesDocs
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Project healthUnknownNo activity data.
Production readinessResearch / EarlyBest for exploration and prototyping.
Risk notesUnknown licenseVerify license before production use.
AgentHub Score
55 / 100
Composite score from 6 signals. How we score →
Active project
55Score
Growth
40C
Activity
30C
Documentation
70C+
Maturity
45C
Community
42C
Production
58C
GitHub stars · 80 days observed0 not enough history
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Repository activity · 80 days observedReal snapshots from pushed_at
inactivepushed
2026-07-262026-10-15
Practical assessment
Should you use it?

✓ Best for

  • Research and experimentation
  • Prototype development
  • Learning agentic patterns

◎ Strengths

  • Active community
  • Open source
  • Well-documented API

✕ Not ideal for

  • Untested at scale without validation
  • Teams without AI/ML expertise

⚠ Watch-outs

  • Review changelog before updating
  • Verify license for commercial use
Technical details
What's inside
Language—
License—
Sourcearxiv
Open source✗ No
Commercial use—
Docs—
Demo—

AgentHub Score

55
Score 55/100
Below average

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