Comparison
secure-ai-agent-boundary vs llm-guard
Verdict
Pick secure-ai-agent-boundary if secure-ai-agent-boundary provides decoupled configuration management for data security and model access control, overlaying existing Git workflows with minimal overhead; pick llm-guard if lLM Guard is a toolkit tailored for securing interactions with large language models, focusing on safeguarding against prompt injection and adversarial attacks.
Markdown twin · secure-ai-agent-boundary alternatives · llm-guard alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | secure-ai-agent-boundary | llm-guard |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1w · github_public_v1 | Archived (27d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- secure-ai-agent-boundary
- Secure AI Engineering Framework 2026: Data-Boundary Security for Frontier Models
- llm-guard
- The Security Toolkit for LLM Interactions
Stars
- secure-ai-agent-boundary
- 151
- llm-guard
- 3.2k
Forks
- secure-ai-agent-boundary
- 0
- llm-guard
- 435
Open issues
- secure-ai-agent-boundary
- 0
- llm-guard
- 40
Language
- secure-ai-agent-boundary
- HTML
- llm-guard
- Python
Adopt for
- secure-ai-agent-boundary
- secure-ai-agent-boundary provides decoupled configuration management for data security and model access control, overlaying existing Git workflows with minimal overhead.
- llm-guard
- LLM Guard is a toolkit tailored for securing interactions with large language models, focusing on safeguarding against prompt injection and adversarial attacks.
Persona
- secure-ai-agent-boundary
- -
- llm-guard
- -
Runtime
- secure-ai-agent-boundary
- -
- llm-guard
- -
License
- secure-ai-agent-boundary
- MIT License allows free usage and distribution as long as the original copyright notice and license terms are preserved in copies or substantial portions of the software.
- llm-guard
- MIT
Last pushed
- secure-ai-agent-boundary
- Aug 13, 2026
- llm-guard
- Jul 8, 2026
Categories
- secure-ai-agent-boundary
- AI Agents, Developer Tools, Evaluation & Observability
- llm-guard
- Developer Tools, Evaluation & Observability
Trust and health
Maintenance
- secure-ai-agent-boundary
- Very active (96%)
- llm-guard
- Archived (8%)
Days since push
- secure-ai-agent-boundary
- 0d
- llm-guard
- 27d
Archived on GitHub
- secure-ai-agent-boundary
- No
- llm-guard
- Yes
Open issues (now)
- secure-ai-agent-boundary
- 0
- llm-guard
- 40
Owner type
- secure-ai-agent-boundary
- User
- llm-guard
- Organization
Full report
- secure-ai-agent-boundary
- Trust report
- llm-guard
- Trust report
Choose secure-ai-agent-boundary if…
- secure-ai-agent-boundary is primarily HTML; llm-guard is Python.
- Requirements: Secure AI Agent Boundary does not require a daemon, kernel patching, or heavyweight control plane operation..
- Tags unique to secure-ai-agent-boundary: ai-security, claude-opus, coding-agents, data-boundary.
- Also covers AI Agents.
- Use secure-ai-agent-boundary when you need to enforce strict model access controls within a git-based workflow without overhauling your infrastructure.
When NOT to use secure-ai-agent-boundary
- Avoid secure-ai-agent-boundary if you have limited bandwidth for integrating new tools and cannot allocate resources to learn a new configuration layer.
- Do not use it when your project strictly needs real-time model access controls enforced via a heavyweight control-plane method, as this tool relies on decoupled configurations.
Choose llm-guard if…
- llm-guard is primarily Python; secure-ai-agent-boundary is HTML.
- Requirements: Min 2 GB RAM; Ensure you have Python version 3.9 or higher.; Some advanced features require additional libraries which are automatically installed as needed..
- Tags unique to llm-guard: adversarial-machine-learning, chatgpt, large language models, llm security.
- - You need to secure your application from sophisticated prompt injection techniques.
When NOT to use llm-guard
- - If you are working in a low-security environment or with small-scale projects where advanced security mechanisms are not necessary.
- - In cases where integrating external libraries and ensuring Python version compatibility may introduce complexities that outweigh the benefits.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Atrayee-dev/secure-ai-agent-boundary) · observed Aug 13, 2026
- GitHub forks (Atrayee-dev/secure-ai-agent-boundary) · observed Aug 13, 2026
- Last push (Atrayee-dev/secure-ai-agent-boundary) · observed Aug 13, 2026
- License file (unknown) · observed Aug 13, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (protectai/llm-guard) · observed Aug 5, 2026
- GitHub forks (protectai/llm-guard) · observed Aug 5, 2026
- Last push (protectai/llm-guard) · observed Jul 8, 2026
- License file (MIT) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: secure-ai-agent-boundary 151 · llm-guard 3.2k (synced Aug 13, 2026).
Common questions
- What is the difference between secure-ai-agent-boundary and llm-guard?
- secure-ai-agent-boundary: Secure AI Engineering Framework 2026: Data-Boundary Security for Frontier Models. llm-guard: The Security Toolkit for LLM Interactions. See the comparison table for live GitHub stats and shared categories.
- When should I choose secure-ai-agent-boundary over llm-guard?
- Choose secure-ai-agent-boundary over llm-guard when secure-ai-agent-boundary is primarily HTML; llm-guard is Python; Requirements: Secure AI Agent Boundary does not require a daemon, kernel patching, or heavyweight control plane operation.; Tags unique to secure-ai-agent-boundary: ai-security, claude-opus, coding-agents, data-boundary; Also covers AI Agents; Use secure-ai-agent-boundary when you need to enforce strict model access controls within a git-based workflow without overhauling your infrastructure.
- When should I choose llm-guard over secure-ai-agent-boundary?
- Choose llm-guard over secure-ai-agent-boundary when llm-guard is primarily Python; secure-ai-agent-boundary is HTML; Requirements: Min 2 GB RAM; Ensure you have Python version 3.9 or higher.; Some advanced features require additional libraries which are automatically installed as needed.; Tags unique to llm-guard: adversarial-machine-learning, chatgpt, large language models, llm security; - You need to secure your application from sophisticated prompt injection techniques.
- When should I avoid secure-ai-agent-boundary?
- Avoid secure-ai-agent-boundary if you have limited bandwidth for integrating new tools and cannot allocate resources to learn a new configuration layer. Do not use it when your project strictly needs real-time model access controls enforced via a heavyweight control-plane method, as this tool relies on decoupled configurations.
- When should I avoid llm-guard?
- - If you are working in a low-security environment or with small-scale projects where advanced security mechanisms are not necessary. - In cases where integrating external libraries and ensuring Python version compatibility may introduce complexities that outweigh the benefits.
- Is secure-ai-agent-boundary or llm-guard more popular on GitHub?
- llm-guard has more GitHub stars (3,202 vs 151). Stars measure visibility, not whether either tool fits your constraints.
- Are secure-ai-agent-boundary and llm-guard open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to secure-ai-agent-boundary or llm-guard?
- GraphCanon lists graph-backed alternatives at secure-ai-agent-boundary alternatives and llm-guard alternatives (secure-ai-agent-boundary markdown twin, llm-guard 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, secure-ai-agent-boundary or llm-guard?
- secure-ai-agent-boundary: Very active. llm-guard: Archived. 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 secure-ai-agent-boundary and llm-guard?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: secure-ai-agent-boundary trust report; llm-guard trust report.