ORCH
Audits code and AI usage against regulatory requirements, blocks sensitive data transmission, and tests system security.
31 linking domains
Emerging
- For
- Organizations managing AI and software risks, particularly in regulated industries
- Price
- Price not read
- Activity
- Actively maintainednothing dated on the site
- Company
- founding year not on record
- check source code against applicable laws and regulations
- hide or block sensitive data before staff send it to AI tools
- test system security and generate evidence of vulnerabilities
- #818
Precogs AI
Detects vulnerabilities, secrets, and compliance risks in code, binaries, and data with auto-generated fixes.
17ActiveFrom $34.32/mo - #2261
SyntheholDB
Generates synthetic relational databases preserving schema and referential integrity while shielding sensitive production data.
Emergingnot read— - #153
Mindgard
Discovers, red-teams, and protects AI agents and systems against security vulnerabilities and attacks.
1.2kMaintained— - #416
Struct
Monitors production changes, triages alerts, and automatically fixes issues with pull requests.
23ActiveFrom $200/mo - #457
Cloudback MCP Server
Backs up GitHub, GitLab, Azure DevOps, and Linear repositories with customer-managed encryption and fast recovery.
114not readFrom $10/mo - #662
Scout AI
Analyzes web applications for performance, security, SEO, and accessibility issues with real-time reports.
20Maintained—
What is ORCH?
Audits code and AI usage against regulatory requirements, blocks sensitive data transmission, and tests system security.
Who is ORCH for?
Organizations managing AI and software risks, particularly in regulated industries
Do people use ORCH?
Emerging.
Is ORCH still maintained?
Actively maintained.
What are alternatives to ORCH?
In Developer tools, by use: Precogs AI, SyntheholDB, Mindgard, Struct, Cloudback MCP Server, Scout AI.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one row at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.