ai cybersecurity and penetration testing
Recent window: last 5.2 months (2026-04-24 → 2026-09-28), compared with the prior 5.2 months.
These products use autonomous agents and specialized models to perform security vulnerability detection, penetration testing, and safety auditing. They are primarily used by security teams, ethical hackers, and developers safeguarding both traditional applications and AI agent workflows. Unlike standard static code analyzers, this cluster focuses heavily on automated offensive security, red teaming, and runtime guardrails.
Metrics
- Stage
- crowded
- Recent count
- 150
- Prior count
- 24
- Total count
- 184
- Momentum
- 300.00
- Attention
- 0.47
- Crowding
- 0.78
- Concentration
- 0.83
- Opportunity
- 0.47
Opportunity components
- Attention
- 0.47
- Low crowding
- 0.22
- Momentum (normalized)
- 1.00
- Low concentration
- 0.17
Monthly trajectory
Source split
- github
- 61 (0.41)
- hn
- 34 (0.23)
- ph
- 44 (0.29)
- yc
- 11 (0.07)
Dominant source: github · Divergence: 0.33
Similar themes
- ai agent infrastructure and tooling (0.79)
- desktop AI assistants and agent platforms (0.73)
- developer tools for ai agents (0.68)
- AI coding agents and developer tools (0.61)
- AI agent infrastructure and operations (0.60)
- persistent memory for AI agents (0.58)
- coding agent interfaces and environments (0.57)
- autonomous robotics, drones, and sensor hardware (0.57)