Comparison
stepshield vs fast-llm-security-guardrails
Verdict
Pick stepshield if stepShield aids in evaluating temporal guardrail effectiveness on AI agents through step-level annotations, ideal for ensuring security over time; pick fast-llm-security-guardrails if 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.
Markdown twin · stepshield alternatives · fast-llm-security-guardrails alternatives
GraphCanon updated Sep 20, 2026
10views this month
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Trust & integrity
| Signal | stepshield | fast-llm-security-guardrails |
|---|---|---|
| Maintenance | Active (7d since push) As of Sep 13, 2026 · github_public_v1 | Slowing (222d since push) As of Sep 14, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 13, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 14, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 15, 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
- stepshield
- Temporal evaluation benchmark for AI agent guardrails
- fast-llm-security-guardrails
- The fastest Trust Layer for AI Agents
Stars
- stepshield
- 76
- fast-llm-security-guardrails
- 155
Forks
- stepshield
- 17
- fast-llm-security-guardrails
- 21
Open issues
- stepshield
- 18
- fast-llm-security-guardrails
- 0
Language
- stepshield
- Python
- fast-llm-security-guardrails
- Python
Adopt for
- stepshield
- StepShield aids in evaluating temporal guardrail effectiveness on AI agents through step-level annotations, ideal for ensuring security over time.
- 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
- stepshield
- -
- fast-llm-security-guardrails
- -
Runtime
- stepshield
- -
- fast-llm-security-guardrails
- -
License
- stepshield
- Other
- fast-llm-security-guardrails
- MIT
Last pushed
- stepshield
- Sep 5, 2026
- fast-llm-security-guardrails
- Feb 3, 2026
Categories
- stepshield
- AI Agents, Evaluation & Observability
- fast-llm-security-guardrails
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- stepshield
- Active (82%)
- fast-llm-security-guardrails
- Slowing (36%)
Days since push
- stepshield
- 7d
- fast-llm-security-guardrails
- 222d
Open issues (now)
- stepshield
- 18
- fast-llm-security-guardrails
- 0
Stars delta
- stepshield
- -1 (30d)
- fast-llm-security-guardrails
- +1 (30d)
Open issues delta
- stepshield
- +2 (30d)
- fast-llm-security-guardrails
- 0 (30d)
Owner type
- stepshield
- User
- fast-llm-security-guardrails
- Organization
Full report
- stepshield
- Trust report
- fast-llm-security-guardrails
- Trust report
Shared compatibility
- Python · stepshield: Python runtime · fast-llm-security-guardrails: Python runtime
Choose stepshield if…
- License: stepshield is Other, fast-llm-security-guardrails is MIT.
- Tags unique to stepshield: agent-security, ai-safety, benchmark, dataset.
- When you need to measure the timing of interventions rather than just if they occur
When NOT to use stepshield
- If your project does not require temporal analysis of guardrail performance
- When you seek real-time intervention and do not need pre-defined trajectory datasets
Choose fast-llm-security-guardrails if…
- License: fast-llm-security-guardrails is MIT, stepshield is Other.
- Tags unique to fast-llm-security-guardrails: agentic-ai, ai-agent, ai-agents, ai-runtime.
- 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 (glo26/stepshield) · observed Sep 20, 2026
- GitHub forks (glo26/stepshield) · observed Sep 20, 2026
- Last push (glo26/stepshield) · observed Sep 5, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 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: stepshield 76 · fast-llm-security-guardrails 155 (synced Sep 20, 2026).
Common questions
- What is the difference between stepshield and fast-llm-security-guardrails?
- stepshield: Temporal evaluation benchmark for AI agent guardrails. 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 stepshield over fast-llm-security-guardrails?
- Choose stepshield over fast-llm-security-guardrails when License: stepshield is Other, fast-llm-security-guardrails is MIT; Tags unique to stepshield: agent-security, ai-safety, benchmark, dataset; When you need to measure the timing of interventions rather than just if they occur.
- When should I choose fast-llm-security-guardrails over stepshield?
- Choose fast-llm-security-guardrails over stepshield when License: fast-llm-security-guardrails is MIT, stepshield is Other; Tags unique to fast-llm-security-guardrails: agentic-ai, ai-agent, ai-agents, ai-runtime; Fast integration of privacy and security guardrails in environments where real-time evaluation and observability are critical.
- When should I avoid stepshield?
- If your project does not require temporal analysis of guardrail performance When you seek real-time intervention and do not need pre-defined trajectory datasets
- 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 stepshield or fast-llm-security-guardrails more popular on GitHub?
- fast-llm-security-guardrails has more GitHub stars (155 vs 76). Stars measure visibility, not whether either tool fits your constraints.
- Are stepshield and fast-llm-security-guardrails open source?
- Yes - both are open-source projects on GitHub (stepshield: Other, fast-llm-security-guardrails: MIT).
- Where can I find alternatives to stepshield or fast-llm-security-guardrails?
- GraphCanon lists graph-backed alternatives at stepshield alternatives and fast-llm-security-guardrails alternatives (stepshield 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, stepshield or fast-llm-security-guardrails?
- stepshield: Active. 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 stepshield and fast-llm-security-guardrails?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: stepshield trust report; fast-llm-security-guardrails trust report.