Comparison
agentic-radar vs fast-llm-security-guardrails
Verdict
Pick agentic-radar when license: agentic-radar is Apache-2.0, fast-llm-security-guardrails is MIT; pick fast-llm-security-guardrails when license: fast-llm-security-guardrails is MIT, agentic-radar is Apache-2.0.
Markdown twin · agentic-radar alternatives · fast-llm-security-guardrails alternatives
GraphCanon updated Sep 20, 2026
14views this month
vs
Trust & integrity
| Signal | agentic-radar | fast-llm-security-guardrails |
|---|---|---|
| Maintenance | Slowing (284d since push) As of Sep 7, 2026 · github_public_v1 | Slowing (222d since push) As of Sep 14, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 7, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 14, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Jul 15, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- agentic-radar
- A security scanner for your LLM agentic workflows
- fast-llm-security-guardrails
- The fastest Trust Layer for AI Agents
Stars
- agentic-radar
- 1.0k
- fast-llm-security-guardrails
- 155
Forks
- agentic-radar
- 145
- fast-llm-security-guardrails
- 21
Open issues
- agentic-radar
- 15
- fast-llm-security-guardrails
- 0
Language
- agentic-radar
- Python
- fast-llm-security-guardrails
- Python
Adopt for
- agentic-radar
- -
- fast-llm-security-guardrails
- fast-llm-security-guardrails, also known as ZenGuard, is designed for the rapid deployment of security measures into AI agent systems to ensure they operate within defined trust constraints.
Persona
- agentic-radar
- -
- fast-llm-security-guardrails
- -
Runtime
- agentic-radar
- -
- fast-llm-security-guardrails
- -
License
- agentic-radar
- Apache-2.0
- fast-llm-security-guardrails
- MIT
Last pushed
- agentic-radar
- Nov 27, 2025
- fast-llm-security-guardrails
- Feb 3, 2026
Categories
- agentic-radar
- AI Agents, Evaluation & Observability
- fast-llm-security-guardrails
- AI Agents, Evaluation & Observability
Trust and health
Days since push
- agentic-radar
- 284d
- fast-llm-security-guardrails
- 222d
Open issues (now)
- agentic-radar
- 15
- fast-llm-security-guardrails
- 0
Stars delta
- agentic-radar
- +21 (30d)
- fast-llm-security-guardrails
- +1 (30d)
Open issues delta
- agentic-radar
- -1 (30d)
- fast-llm-security-guardrails
- 0 (30d)
OSV dependency advisories
- agentic-radar
- No lockfile (source not queried)
- fast-llm-security-guardrails
- Published findings
Full report
- agentic-radar
- Trust report
- fast-llm-security-guardrails
- Trust report
Shared compatibility
- Python · agentic-radar: Python runtime · fast-llm-security-guardrails: Python runtime
Choose agentic-radar if…
- License: agentic-radar is Apache-2.0, fast-llm-security-guardrails is MIT.
- Tags unique to agentic-radar: devsecops, generative-ai, security-tools.
- When you need to test for vulnerabilities in generative AI workflows involving LLM frameworks
When NOT to use agentic-radar
- Avoid if the Python version is not within the supported range of >=3.10 and <3.13 especially when using CrewAI features
- Do not use if security scanning for LLM agentic workflows is unnecessary for your project needs
Choose fast-llm-security-guardrails if…
- License: fast-llm-security-guardrails is MIT, agentic-radar is Apache-2.0.
- Tags unique to fast-llm-security-guardrails: ai-agent, ai-agents, ai-runtime, cx-agent.
- Fast integration of privacy and security guardrails in environments where real-time evaluation and observability are critical.
When NOT to use fast-llm-security-guardrails
- If your project requires a more customizable solution than what fast-llm-security-guardrails offers in its out-of-the-box configurations.
- For teams that operate without established runtime environments like LangChain or LlamaIndex, as this may necessitate significant adaptation of ZenGuard.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (splx-ai/agentic-radar) · observed Sep 20, 2026
- GitHub forks (splx-ai/agentic-radar) · observed Sep 20, 2026
- Last push (splx-ai/agentic-radar) · observed Nov 27, 2025
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ZenGuard-AI/fast-llm-security-guardrails) · observed Sep 20, 2026
- GitHub forks (ZenGuard-AI/fast-llm-security-guardrails) · observed Sep 20, 2026
- Last push (ZenGuard-AI/fast-llm-security-guardrails) · observed Feb 3, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: agentic-radar 1.0k · fast-llm-security-guardrails 155 (synced Sep 20, 2026).
Common questions
- What is the difference between agentic-radar and fast-llm-security-guardrails?
- agentic-radar: A security scanner for your LLM agentic workflows. fast-llm-security-guardrails: The fastest Trust Layer for AI Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentic-radar over fast-llm-security-guardrails?
- Choose agentic-radar over fast-llm-security-guardrails when License: agentic-radar is Apache-2.0, fast-llm-security-guardrails is MIT; Tags unique to agentic-radar: devsecops, generative-ai, security-tools; When you need to test for vulnerabilities in generative AI workflows involving LLM frameworks.
- When should I choose fast-llm-security-guardrails over agentic-radar?
- Choose fast-llm-security-guardrails over agentic-radar when License: fast-llm-security-guardrails is MIT, agentic-radar is Apache-2.0; Tags unique to fast-llm-security-guardrails: ai-agent, ai-agents, ai-runtime, cx-agent; Fast integration of privacy and security guardrails in environments where real-time evaluation and observability are critical.
- When should I avoid agentic-radar?
- Avoid if the Python version is not within the supported range of >=3.10 and <3.13 especially when using CrewAI features Do not use if security scanning for LLM agentic workflows is unnecessary for your project needs
- When should I avoid fast-llm-security-guardrails?
- If your project requires a more customizable solution than what fast-llm-security-guardrails offers in its out-of-the-box configurations. For teams that operate without established runtime environments like LangChain or LlamaIndex, as this may necessitate significant adaptation of ZenGuard.
- Is agentic-radar or fast-llm-security-guardrails more popular on GitHub?
- agentic-radar has more GitHub stars (1,046 vs 155). Stars measure visibility, not whether either tool fits your constraints.
- Are agentic-radar and fast-llm-security-guardrails open source?
- Yes - both are open-source projects on GitHub (agentic-radar: Apache-2.0, fast-llm-security-guardrails: MIT).
- Where can I find alternatives to agentic-radar or fast-llm-security-guardrails?
- GraphCanon lists graph-backed alternatives at agentic-radar alternatives and fast-llm-security-guardrails alternatives (agentic-radar markdown twin, fast-llm-security-guardrails markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, agentic-radar or fast-llm-security-guardrails?
- agentic-radar: Slowing. fast-llm-security-guardrails: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for agentic-radar and fast-llm-security-guardrails?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentic-radar trust report; fast-llm-security-guardrails trust report.