# Synack
> Synack is a security company that provides a premier crowdsourced penetration testing platform. It combines a vetted network of global security researchers with automated technology to provide continuous vulnerability intelligence and discovery for enterprise and government organizations.
- URL: https://optimly.ai/brand/synack
- Slug: synack
- BAI Score: 84/100
- Archetype: Challenger
- Category: Cybersecurity
- Last Analyzed: April 11, 2026
## Competitors
- Bishop Fox (https://optimly.ai/brand/bishop-fox)
- Bugcrowd (https://optimly.ai/brand/bugcrowd)
- Cobaltio (https://optimly.ai/brand/cobaltio)
- HackerOne (https://optimly.ai/brand/hackerone)
## Also Referenced By
- Intigriti (https://optimly.ai/brand/intigriti)
- Breachlock Inc (https://optimly.ai/brand/breachlock-inc)
- Hackerone Pentest Landscapes (https://optimly.ai/brand/hackerone-pentest-landscapes)
- Cobalt.io (https://optimly.ai/brand/cobalt-io)
## Buyer Intent Signals
Problems: Internal Security Auditing: Utilizing internal security teams to perform manual penetration tests or vulnerability scans. | Traditional Pentest Agencies: Hiring traditional consulting firms or boutique security firms for time-boxed, project-based penetration tests. | Status Quo / Passive Defense: Maintaining current security posture without third-party validation, often leading to hidden technical debt and risk.
Solutions: top crowdsourced security platforms | pentesting as a service providers | vetted ethical hacking teams for enterprise | best bug bounty software for startups | continuous vulnerability management tools | federal government security testing vendors | Automated Vulnerability Scanners: Relying solely on automated software for security flaws without human validation or creative exploitation.
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## Full Details / RAG Data
### Overview
Synack is listed in the AI Directory.
Synack is a security company that provides a premier crowdsourced penetration testing platform. It combines a vetted network of global security researchers with automated technology to provide continuous vulnerability intelligence and discovery for enterprise and government organizations.
### Metadata
| Field        | Value |
|--------------|-------|
| Name         | Synack |
| Slug         | synack |
| URL          | https://optimly.ai/brand/synack |
| BAI Score    | 84/100 |
| Archetype    | Challenger |
| Category     | Cybersecurity |
| Last Analyzed | April 11, 2026 |
| Last Updated | 2026-04-13T18:08:16.711Z |
### Verified Facts
- Founded: 2013
- Headquarters: Redwood City, California
### Competitors
| Name | Profile |
|------|---------|
| Bishop Fox | https://optimly.ai/brand/bishop-fox |
| Bugcrowd | https://optimly.ai/brand/bugcrowd |
| Cobaltio | https://optimly.ai/brand/cobaltio |
| HackerOne | https://optimly.ai/brand/hackerone |
### Also Referenced By
- Intigriti (https://optimly.ai/brand/intigriti)
- Breachlock Inc (https://optimly.ai/brand/breachlock-inc)
- Hackerone Pentest Landscapes (https://optimly.ai/brand/hackerone-pentest-landscapes)
- Cobalt.io (https://optimly.ai/brand/cobalt-io)
### Buyer Intent Signals
#### Problems this brand solves
- Internal Security Auditing: Utilizing internal security teams to perform manual penetration tests or vulnerability scans.
- Traditional Pentest Agencies: Hiring traditional consulting firms or boutique security firms for time-boxed, project-based penetration tests.
- Status Quo / Passive Defense: Maintaining current security posture without third-party validation, often leading to hidden technical debt and risk.
#### Buyers search for
- top crowdsourced security platforms
- pentesting as a service providers
- vetted ethical hacking teams for enterprise
- best bug bounty software for startups
- continuous vulnerability management tools
- federal government security testing vendors
- Automated Vulnerability Scanners: Relying solely on automated software for security flaws without human validation or creative exploitation.
### Links
- Canonical page: https://optimly.ai/brand/synack
- JSON endpoint: /brand/synack.json
- LLMs.txt: /brand/synack/llms.txt