Comparison
last_layer vs FuzzyAI
Verdict
Pick last_layer if an ultra-fast Python tool for detecting prompt injections and jailbreak attempts in large language models suitable for projects requiring rapid security evaluations, with low-latency performance; pick FuzzyAI if fuzzyAI is an automated tool from cyberark for detecting and mitigating jailbreaks in LLM APIs using fuzzing techniques.
Markdown twin · last_layer alternatives · FuzzyAI alternatives
GraphCanon updated Sep 20, 2026
11views this month
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Trust & integrity
| Signal | last_layer | FuzzyAI |
|---|---|---|
| Maintenance | Dormant (780d since push) As of Sep 14, 2026 · github_public_v1 | Slowing (225d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 14, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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
- last_layer
- Ultra-fast low latency LLM prompt injection jailbreak detection
- FuzzyAI
- A tool for automated LLM fuzzing to detect and mitigate jailbreaks
Stars
- last_layer
- 133
- FuzzyAI
- 1.6k
Forks
- last_layer
- 6
- FuzzyAI
- 217
Open issues
- last_layer
- 13
- FuzzyAI
- 7
Language
- last_layer
- Python
- FuzzyAI
- Jupyter Notebook
Adopt for
- last_layer
- An ultra-fast Python tool for detecting prompt injections and jailbreak attempts in large language models suitable for projects requiring rapid security evaluations, with low-latency performance.
- FuzzyAI
- FuzzyAI is an automated tool from cyberark for detecting and mitigating jailbreaks in LLM APIs using fuzzing techniques.
Persona
- last_layer
- -
- FuzzyAI
- -
Runtime
- last_layer
- -
- FuzzyAI
- -
License
- last_layer
- MIT
- FuzzyAI
- Apache-2.0
Last pushed
- last_layer
- Jul 26, 2024
- FuzzyAI
- Feb 6, 2026
Categories
- last_layer
- Evaluation & Observability
- FuzzyAI
- Evaluation & Observability
Trust and health
Maintenance
- last_layer
- Dormant (18%)
- FuzzyAI
- Slowing (36%)
Days since push
- last_layer
- 780d
- FuzzyAI
- 225d
Open issues (now)
- last_layer
- 13
- FuzzyAI
- 7
Stars delta
- last_layer
- +2 (30d)
- FuzzyAI
- +33 (30d)
Open issues delta
- last_layer
- 0 (30d)
- FuzzyAI
- +1 (30d)
Owner type
- last_layer
- User
- FuzzyAI
- Organization
OSV dependency advisories
- last_layer
- Published findings
- FuzzyAI
- No lockfile (source not queried)
Full report
- last_layer
- Trust report
- FuzzyAI
- Trust report
Shared compatibility
- Python · last_layer: Python runtime · FuzzyAI: Python runtime
Choose last_layer if…
- last_layer is primarily Python; FuzzyAI is Jupyter Notebook.
- License: last_layer is MIT, FuzzyAI is Apache-2.0.
- Tags unique to last_layer: chatgpt-prompts, large-language-models, llm-guard, llm-guardrails.
- When you need fast detection of potential security vulnerabilities due to unauthorized prompt manipulations in real-time scenarios involving LLMs
When NOT to use last_layer
- If your application does not require ultra-low latency detection and can afford slower, potentially more comprehensive security evaluations
- For environments that prefer a broader range of security features beyond prompt injection detection, as last_layer focuses specifically on this aspect with speed in mind
Choose FuzzyAI if…
- FuzzyAI is primarily Jupyter Notebook; last_layer is Python.
- License: FuzzyAI is Apache-2.0, last_layer is MIT.
- Tags unique to FuzzyAI: ai, ai-red-team, fuzzing, llm-evaluation.
- When you need to identify vulnerabilities specifically within the API layer of your large language models (LLMs).
When NOT to use FuzzyAI
- For general application or code-level vulnerability scanning, as it is specialized for LLM APIs.
- In scenarios where manual penetration testing of applications outside the scope of LLMs is required.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (arekusandr/last_layer) · observed Sep 20, 2026
- GitHub forks (arekusandr/last_layer) · observed Sep 20, 2026
- Last push (arekusandr/last_layer) · observed Jul 26, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (cyberark/FuzzyAI) · observed Sep 20, 2026
- GitHub forks (cyberark/FuzzyAI) · observed Sep 20, 2026
- Last push (cyberark/FuzzyAI) · observed Feb 6, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: last_layer 133 · FuzzyAI 1.6k (synced Sep 20, 2026).
Common questions
- What is the difference between last_layer and FuzzyAI?
- last_layer: Ultra-fast low latency LLM prompt injection jailbreak detection. FuzzyAI: A tool for automated LLM fuzzing to detect and mitigate jailbreaks. See the comparison table for live GitHub stats and shared categories.
- When should I choose last_layer over FuzzyAI?
- Choose last_layer over FuzzyAI when last_layer is primarily Python; FuzzyAI is Jupyter Notebook; License: last_layer is MIT, FuzzyAI is Apache-2.0; Tags unique to last_layer: chatgpt-prompts, large-language-models, llm-guard, llm-guardrails; When you need fast detection of potential security vulnerabilities due to unauthorized prompt manipulations in real-time scenarios involving LLMs.
- When should I choose FuzzyAI over last_layer?
- Choose FuzzyAI over last_layer when FuzzyAI is primarily Jupyter Notebook; last_layer is Python; License: FuzzyAI is Apache-2.0, last_layer is MIT; Tags unique to FuzzyAI: ai, ai-red-team, fuzzing, llm-evaluation; When you need to identify vulnerabilities specifically within the API layer of your large language models (LLMs).
- When should I avoid last_layer?
- If your application does not require ultra-low latency detection and can afford slower, potentially more comprehensive security evaluations For environments that prefer a broader range of security features beyond prompt injection detection, as last_layer focuses specifically on this aspect with speed in mind
- When should I avoid FuzzyAI?
- For general application or code-level vulnerability scanning, as it is specialized for LLM APIs. In scenarios where manual penetration testing of applications outside the scope of LLMs is required.
- Is last_layer or FuzzyAI more popular on GitHub?
- FuzzyAI has more GitHub stars (1,576 vs 133). Stars measure visibility, not whether either tool fits your constraints.
- Are last_layer and FuzzyAI open source?
- Yes - both are open-source projects on GitHub (last_layer: MIT, FuzzyAI: Apache-2.0).
- Where can I find alternatives to last_layer or FuzzyAI?
- GraphCanon lists graph-backed alternatives at last_layer alternatives and FuzzyAI alternatives (last_layer markdown twin, FuzzyAI 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, last_layer or FuzzyAI?
- last_layer: Dormant. FuzzyAI: 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 last_layer and FuzzyAI?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: last_layer trust report; FuzzyAI trust report.