Stroq vs falc0n
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Stroq compared with falc0n
| Detail |
Stroq |
falc0n |
| What it does | Find and prevent secrets and prompt injection attacks in AI coding agent sessions
| Independent security researcher mapping India and APAC's exposed attack surface at internet scale
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| IN
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| Pricing model | Open source
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| Pricing | Not given
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| Key features | - Scan recorded AI agent sessions for known credentials
- Guard against prompt injection attacks
- Local console with audit trails at 127.0.0.1
- Support for multiple AI coding agents including Claude Code, Cursor, and Codex CLI
- Default policy with 21 rules across 19 action classes
- Test policy against replayed attack scenarios
- No model or network in the guard's hot path
| - Internet-scale sweeps of India and APAC address space for exposed infrastructure
- Manual verification of all findings before publication
- Mapping of findings to DPDP Act and ISO 27001 compliance frameworks
- Detection of exposed Swagger and OpenAPI specifications with 38% of specs exposing unauthenticated routes
- GraphQL introspection scanning finding 2,159 services exposing full schema without authentication
- proxy2model tool to map web applications from captured traffic
- cvecheck series assessing CVEs with affected scope and exploitation evidence
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| What makes it different | - Deterministic policy-based enforcement rather than model-based decisions
- Runs locally with no telemetry and no account required
- Open source and free forever under Apache-2.0
- Replayed 36 real attack scenarios with zero bypasses
| - Focus on India and APAC region often overlooked by mainstream security research
- Country-scale studies verified by manual re-check rather than relying on scanner output alone
- Open-source tools built from patterns discovered during research
- Research published with governance context and remediation playbooks
- Detailed findings on infrastructure exposures with specific counts and evidence
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 4 ▲ +2 (up) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 1 | 0 |
| Citation Flow (Majestic) | 15 | 0 |
| Referring domains (Majestic) | 43 | 0 |
3 details filled in for both companies.
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