Comparison
awesome-llm-security vs BIPIA
Verdict
Pick awesome-llm-security if awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and; pick BIPIA if bIPIA, developed by Microsoft, is a benchmarking tool designed to assess the robustness and security of Large Language Models (LLMs) against indirect.
Markdown twin · awesome-llm-security alternatives · BIPIA alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | awesome-llm-security | BIPIA |
|---|---|---|
| Maintenance | Slowing (351d since push) As of 2w · github_public_v1 | Dormant (842d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 3w · 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 | No lockfile (source not queried) As of 2w · deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | No public record from this source As of 3w · openssf-scorecard@v1 |
Tagline
- awesome-llm-security
- A curation of tools, documents and projects about LLM Security
- BIPIA
- Benchmark for evaluating LLM robustness to indirect prompt injection attacks.
Stars
- awesome-llm-security
- 1.7k
- BIPIA
- 149
Forks
- awesome-llm-security
- 312
- BIPIA
- 19
Open issues
- awesome-llm-security
- 173
- BIPIA
- 4
Language
- awesome-llm-security
- -
- BIPIA
- Python
Adopt for
- awesome-llm-security
- Awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and
- BIPIA
- BIPIA, developed by Microsoft, is a benchmarking tool designed to assess the robustness and security of Large Language Models (LLMs) against indirect prompt injection attacks.
Persona
- awesome-llm-security
- -
- BIPIA
- -
Runtime
- awesome-llm-security
- -
- BIPIA
- -
License
- awesome-llm-security
- -
- BIPIA
- Other
Last pushed
- awesome-llm-security
- Aug 20, 2025
- BIPIA
- Apr 15, 2024
Categories
- awesome-llm-security
- Evaluation & Observability
- BIPIA
- Evaluation & Observability
Trust and health
Maintenance
- awesome-llm-security
- Slowing (36%)
- BIPIA
- Dormant (18%)
Days since push
- awesome-llm-security
- 351d
- BIPIA
- 842d
Open issues (now)
- awesome-llm-security
- 173
- BIPIA
- 4
deps.dev advisories
- awesome-llm-security
- Not queried
- BIPIA
- No lockfile (source not queried)
OpenSSF Scorecard
- awesome-llm-security
- Not queried
- BIPIA
- No public record from this source
Full report
- awesome-llm-security
- Trust report
- BIPIA
- Trust report
Choose awesome-llm-security if…
- Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided)..
- Tags unique to awesome-llm-security: awesome-list, llm, security.
- When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs.
When NOT to use awesome-llm-security
- When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs.
- If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications.
Choose BIPIA if…
- Requirements: For API-based model experiments (like GPT), no GPU is needed but an account's API key must be set up.; For open-source models of 13B or below, test on a machine with at least 2 V100 GPUs. For larger models over 13B, 4-8 V100 GPUs are required..
- Tags unique to BIPIA: indirect-prompt-injection-attacks, llm security, microsoft-research, python library.
- Use BIPIA when you need to evaluate your LLM's resilience specifically to indirect prompt injection attacks, a niche but critical type of adversarial attack.
When NOT to use BIPIA
- Avoid BIPIA if your primary focus is on general security enhancements without a particular emphasis on indirect prompt injection attacks.
- Not recommended for users who primarily operate outside a Linux environment, specifically Ubuntu 20.04.6, as it can significantly affect compatibility and performance.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (corca-ai/awesome-llm-security) · observed Aug 6, 2026
- GitHub forks (corca-ai/awesome-llm-security) · observed Aug 6, 2026
- Last push (corca-ai/awesome-llm-security) · observed Aug 20, 2025
- License file (unknown) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (microsoft/BIPIA) · observed Aug 5, 2026
- GitHub forks (microsoft/BIPIA) · observed Aug 5, 2026
- Last push (microsoft/BIPIA) · observed Apr 15, 2024
- License file (Other) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-llm-security 1.7k · BIPIA 149 (synced Aug 6, 2026).
Common questions
- What is the difference between awesome-llm-security and BIPIA?
- awesome-llm-security: A curation of tools, documents and projects about LLM Security. BIPIA: Benchmark for evaluating LLM robustness to indirect prompt injection attacks.. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-llm-security over BIPIA?
- Choose awesome-llm-security over BIPIA when Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided).; Tags unique to awesome-llm-security: awesome-list, llm, security; When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs.
- When should I choose BIPIA over awesome-llm-security?
- Choose BIPIA over awesome-llm-security when Requirements: For API-based model experiments (like GPT), no GPU is needed but an account's API key must be set up.; For open-source models of 13B or below, test on a machine with at least 2 V100 GPUs. For larger models over 13B, 4-8 V100 GPUs are required.; Tags unique to BIPIA: indirect-prompt-injection-attacks, llm security, microsoft-research, python library; Use BIPIA when you need to evaluate your LLM's resilience specifically to indirect prompt injection attacks, a niche but critical type of adversarial attack.
- When should I avoid awesome-llm-security?
- When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs. If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications.
- When should I avoid BIPIA?
- Avoid BIPIA if your primary focus is on general security enhancements without a particular emphasis on indirect prompt injection attacks. Not recommended for users who primarily operate outside a Linux environment, specifically Ubuntu 20.04.6, as it can significantly affect compatibility and performance.
- Is awesome-llm-security or BIPIA more popular on GitHub?
- awesome-llm-security has more GitHub stars (1,672 vs 149). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-llm-security and BIPIA open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-llm-security or BIPIA?
- GraphCanon lists graph-backed alternatives at awesome-llm-security alternatives and BIPIA alternatives (awesome-llm-security markdown twin, BIPIA 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, awesome-llm-security or BIPIA?
- awesome-llm-security: Slowing. BIPIA: Dormant. 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 awesome-llm-security and BIPIA?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-llm-security trust report; BIPIA trust report.