Agentic Security
github.com/ruvnet/agentic-security- Category
- Cybersecurity
- Rank
- No. 1512Tools index
Previous survey · No. 1517 ·
- Pricing
- Open Source
- Type
- AGENT
- Builder
- ruvnet
- GitHub
- 50 stars
- Date
About
rUv's framework for AI agents focused on security — automated reconnaissance, vulnerability triage, and exploit explanation.
What it does
Agentic Security is a Python command-line pipeline for examining code, producing Markdown findings, and applying AI-generated repairs. It combines configurable analysis with OpenAI or Anthropic models, local result caching, severity-based report handling, and Aider-driven editing. Its fix workflow can target selected files, use issue-specific templates, retry changes, and summarize diffs for human inspection.
Why it's ranked here
The core is more credible than the sweeping product language. Supplied code shows a usable CLI, configuration loading, report generation, caching, model selection, and iterative fixes. However, the documentation claims a much broader security platform than the visible implementation proves. Command references also disagree with the supplied CLI. Treat it as an ambitious code-remediation pipeline, not a demonstrated enterprise security suite.
What's good
The workflow keeps findings actionable. Reports carry file, vulnerability type, severity, and details into a bounded repair cycle. Users can filter report-driven fixes by severity and cap retry attempts. File existence and access checks run before editing. Architecture analysis excludes common dependency and cache directories, supports timeouts, and disables review work in CI mode. Cached scan results use a simple inspectable JSON format.
Tradeoffs
Installation and operation have rough edges. The two packaging manifests specify conflicting dependency versions, while the broader requirements list includes tools absent from package metadata. The top-level CLI demands both provider keys even though the pipeline selects one provider. Documentation advertises commands and integrations not established by the supplied CLI code. Fixes edit working files through an external Aider process, so human review and version-control safeguards remain essential.
How to use it well
Use it for authorized Python repositories where engineers already review diffs, run tests, and control changes through version control. Start with scoped analysis, inspect the Markdown report, then apply high-severity repairs to a small file set with limited retries. Keep generated fixes behind manual review. Do not choose it as your sole container, infrastructure, cloud, or full SAST solution because those areas appear in future plans rather than demonstrated implementation.
Technical notes+
pyproject.toml and setup.py package a Python 3.10+ project and register agentic-security = agentic_security.security_cli:cli; their dependency constraints conflict for pytest, requests, python-dotenv, PyYAML, OpenAI, and Anthropic. requirements.txt additionally includes aider-chat, defusedxml, cryptography, bcrypt, Slack, and sanitization libraries. src/agentic_security/security_cli.py exposes analyze, fix, and fix-from-report commands in the supplied excerpt, validates both API keys at the CLI boundary, and writes timestamped Markdown reports. src/agentic_security/security_pipeline.py loads YAML configuration, selects from fixed model identifiers, walks Python sources, invokes Aider through subprocesses, caches results, and skips architecture review when CI is true. src/agentic_security/fix_cycle.py parses a constrained report format, validates target paths, retries Aider edits, and computes unified-diff summaries. src/agentic_security/cache.py stores each scan's latest result as JSON and removes old entries by modification time. docs/user-guide/README.md and docs/architecture/README.md describe commands and integrations beyond what the supplied CLI excerpt establishes, while docs/future/README.md places SAST, container, infrastructure, fuzzing, and several scanner integrations in planned work.
Observed
- Primary language
- Python
- License declaration
- Packaging classifiers declare the MIT License
- Python support
- Python 3.10 or newer
- Install surface
- Setuptools package with project metadata in both setup.py and pyproject.toml
- Interface
- Command-line interface registered as agentic-security
- External model services
- OpenAI and Anthropic client dependencies are declared
- Optional integration
- Slack SDK is offered as an optional dependency in pyproject.toml
- Platform declaration
- Packaging classifiers declare operating-system independence
Read from README.md, setup.py, pyproject.toml, requirements.txt, src/agentic_security/cache.py, src/agentic_security/prompts.py, src/agentic_security/__init__.py, src/agentic_security/progress.py, src/agentic_security/fix_cycle.py, src/agentic_security/security_cli.py, src/agentic_security/security_pipeline.py, docs/README.md, docs/future/README.md, docs/user-guide/README.md, docs/architecture/README.md.
What it can do
Perform automated reconnaissance
Target systems or network infrastructure → Reconnaissance data and system information
Triage security vulnerabilities
Raw vulnerability scan results or security alerts → Prioritized vulnerability assessment with severity ratings
Explain security exploits
Vulnerability data or exploit code → Detailed explanation of exploit mechanisms and impact
Automate security assessments
Target systems and security parameters → Comprehensive security assessment report
Analyze security threats
Threat intelligence data or suspicious activities → Threat analysis and risk evaluation
Intel on Agentic Security
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