adversarial security and jailbreaking tools
Recent window: last 5.2 months (2026-04-25 → 2026-09-29), compared with the prior 5.2 months.
These products offer attack simulation, prompt injection defenses, exploit utilities, and benchmark datasets for cybersecurity professionals and AI safety researchers. Red teams and engineers use them to probe defenses, stress-test language models, and uncover system vulnerabilities. The cluster is characterized by its focus on offensive security and adversarial testing rather than routine enterprise IT compliance.
Metrics
- Stage
- heating
- Recent count
- 47
- Prior count
- 9
- Total count
- 62
- Momentum
- 300.00
- Attention
- 0.28
- Crowding
- 0.16
- Concentration
- 0.84
- Opportunity
- 0.57
Opportunity components
- Attention
- 0.28
- Low crowding
- 0.84
- Momentum (normalized)
- 1.00
- Low concentration
- 0.16
Monthly trajectory
Source split
- github
- 40 (0.85)
- hn
- 3 (0.06)
- ph
- 4 (0.09)
- yc
- 0 (0.00)
Dominant source: github · Divergence: 0.85
Similar themes
- ai agent skills and modular packs (0.54)
- advanced models and agentic reasoning tools (0.51)
- ai penetration testing and security agents (0.47)
- agent orchestration and benchmark platforms (0.44)
- systems, networking, and cryptography tools (0.40)
- experimental AI and simulation tools (0.38)
- AI agent infrastructure and tooling (0.37)
- security exploits and system cracks (0.35)