agentic-radar
A security scanner for your LLM agentic workflows
No outside reports on file
Agentic-Radar is a tool that helps reduce risk, but it is not a complete security solution—misconfigurations or blind spots in its detection rules could leave vulnerabilities open, and you must still review what data it accesses and logs.
Based on public adoption and transparency signals as of Oct 23, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachConnects to outside service APINOTED
- CredentialsNo API token requiredLOW
- Package sourceGitHub (splx-ai/agentic-radar)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/splx-ai/agentic-radar ↗
Everything known
We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.
0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30
Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-23.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About Agentic Radar
Agentic-Radar scans and analyzes security risks in AI agent workflows—the automated tasks that language models perform. It appears to check for vulnerabilities, unsafe actions, or suspicious patterns that could harm your system or data when an AI agent runs without direct human oversight.
Who it’s for
Teams building AI agents or automation systems who want to catch security problems before deployment. Security engineers and developers integrating language models into production workflows.
Alternatives
- Semgrep: Static code analysis tool that can scan agent code for known vulnerabilities before deployment.
- OpenAI Evals: Framework for testing and benchmarking AI model behavior, including safety checks.
- Guardrails AI: Runtime guardrails for LLM outputs to catch unsafe responses before they reach users.
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README at https://github.com/splx-ai/agentic-radar (opens external site) for installation and configuration instructions. The exact setup depends on your environment and how you plan to integrate it.
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 1.1k
- Listing last refreshed
- 2026-10-30
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Risks to watch for
- Access to agent internals: The scanner reads your agent's actions and decisions, so it could expose sensitive business logic or decision trees you want hidden.
- False negatives: Like all security scanners, it might miss real threats if attackers craft requests in unusual ways or the scanner's rules are outdated.
- Configuration errors: If misconfigured, it could block legitimate agent actions or allow dangerous ones through, giving false confidence.
- Data in scanning logs: The tool may log agent behaviors and user inputs to find problems, potentially storing private or sensitive data in those logs.
- Supply chain risk: Updates or compromised dependencies could introduce malicious code into your security scanning process itself.
How to lower the risk
Least-privilege permissions
- Run the scanner with only the permissions needed to inspect agent actions, not full system access.
- Restrict which agent tools or APIs the scanner can observe; don't expose credentials or keys to it.
Network isolation
- Keep scanning traffic on a private network if possible; do not expose the scanner to the public internet.
- If it stores logs, keep logs on encrypted, access-controlled storage away from production databases.
Monitoring
- Regularly review what the scanner flags as suspicious; don't ignore or auto-allow all warnings.
- Check logs for signs someone bypassed or disabled the scanner.
Red flags to watch for
- Large or sudden updates to the tool without clear release notes.
- Scanning rules that are too loose and allow most actions through.
- Logs or reports disappearing or being quietly deleted.
Questions
How do I install Agentic Radar?
Agentic Radar does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/splx-ai/agentic-radar.
Are there security reports about Agentic Radar?
No reports found for this package in our research (last checked 2026-10-30). Agentic Radar currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include access to agent internals, false negatives, configuration errors.
Is Agentic Radar actively maintained?
Agentic Radar has 1.1k GitHub stars. Our directory data was last refreshed on 2026-10-30. Check recent commit activity, release tags, and open issues at github.com/splx-ai/agentic-radar before pinning it in production.
What are alternatives to Agentic Radar?
Notable alternatives to Agentic Radar include Semgrep (Static code analysis tool that can review agent code for known vulnerabilities before deployment), OpenAI Evals (Framework for testing and benchmarking AI model behavior, including review checks), Guardrails AI (Runtime guardrails for LLM outputs to catch unsafe responses before they reach users). You can also compare Agentic Radar side by side with other MCP servers in the Related tools section on this page.
README badge and team notes
Maintain or use Agentic Radar? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.
GitHub README Markdown:
[](https://agentarmorhq.com/skills/splx-ai-agentic-radar)HTML embed:
<a href="https://agentarmorhq.com/skills/splx-ai-agentic-radar"><img src="https://agentarmorhq.com/api/badge/splx-ai-agentic-radar" alt="AgentArmorHQ Risk Grade for Agentic Radar" height="20" /></a>Terminal check:
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "splx-ai-agentic-radar"Share with your security lead
Need sign-off to use agentic-radar? Copy this note for Slack, a ticket or a pull request.
### AgentArmorHQ Security Review Memo: agentic-radar
- **Listing URL:** https://agentarmorhq.com/skills/splx-ai-agentic-radar
- **Type:** App connector
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 1.1k GitHub stars
#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** GitHub (splx-ai/agentic-radar)
#### Recommended Hardened Setup
- **Source Repo:** https://github.com/splx-ai/agentic-radar
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.
_Based on public adoption and transparency signals as of Oct 23, 2026. Our opinion, not a code audit or security guarantee._Key facts
- Type
- App connector
- Publisher
- splx-ai
- Source code
- github.com/splx-ai/agentic-radar
- Est. context load
- ~850 tokens / turn (~5 tool schemas, 0.43% of 200k context)
- Popularity
- 1.1k GitHub stars
- Last updated
- 2026-10-30
- Last graded
- 2026-10-23
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