Agent-Field / sec-af
AI-native code security auditor on AgentField that proves exploitability with verdicts, traces, and actionable evidence.
Why this job: topics: security, ai-security
What it does
Other tools flag patterns. SEC-AF proves exploitability: every finding ships with a verdict, a data flow trace, and evidence you can act on. Free, open source, one API call. A full audit with 30 verified findings costs about $1.40 in LLM calls.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 7 days ago
- Stars
- 200
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Go
- 76% of the code
Is it looked after?
- Contributors
- 2
- Last 90 days
- Issues
- 98% closed
- 1 still open
- Pull requests
- 71 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Go 76%
- Python 23%
- Dockerfile <1%
- Makefile <1%
Topics
- agentfield
- agentic-ai
- ai-agents
- ai-security
- application-security
- autonomous-agents
- cwe
- developer-tools
- devsecops
- graphql-security
- llm
- open-source
Project record
- JobAI security
- StatusListed
- Commits167
- Forks48
- Watching0
- Stars in 28 days+2
- CreatedMar 4, 2026
- First seen by usNov 7, 2026
- CheckedNov 7, 2026