--- title: "FuzzyAI vs gateway" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cyberark-fuzzyai-vs-trylonai-gateway" tools: ["cyberark-fuzzyai", "trylonai-gateway"] --- # FuzzyAI vs gateway *GraphCanon updated Aug 10, 2026* ## Verdict Pick FuzzyAI if fuzzyAI is an automated tool from cyberark for detecting and mitigating jailbreaks in LLM APIs using fuzzing techniques; pick gateway if self-hosted firewall for securing AI applications with guardrails and content moderation. [FuzzyAI](https://github.com/cyberark/FuzzyAI) reports 1.5k GitHub stars, 214 forks, and 6 open issues, last pushed Feb 6, 2026. [gateway](https://www.trylon.ai) has 127 stars, 12 forks, and 0 open issues, last pushed Jun 25, 2025. Figures are from public GitHub metadata via [FuzzyAI's repository](https://github.com/cyberark/FuzzyAI) and [gateway's repository](https://github.com/trylonai/gateway). | | [FuzzyAI](/tools/cyberark-fuzzyai.md) | [gateway](/tools/trylonai-gateway.md) | | --- | --- | --- | | Tagline | A tool for automated LLM fuzzing to detect and mitigate jailbreaks | Self-hosted firewall for securing AI applications with guardrails and content moderation. | | Stars | 1,543 | 127 | | Forks | 214 | 12 | | Open issues | 6 | 0 | | Language | Jupyter Notebook | Python | | Adopt for | FuzzyAI is an automated tool from cyberark for detecting and mitigating jailbreaks in LLM APIs using fuzzing techniques. | Self-hosted firewall for securing AI applications with guardrails and content moderation. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Evaluation & Observability | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [FuzzyAI](/tools/cyberark-fuzzyai.md) | [gateway](/tools/trylonai-gateway.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 171d | 410d | | Open issues (now) | 6 | 0 | | Full report | [trust report](/tools/cyberark-fuzzyai/trust.md) | [trust report](/tools/trylonai-gateway/trust.md) | ## Decision facts: FuzzyAI - **Adopt for:** FuzzyAI is an automated tool from cyberark for detecting and mitigating jailbreaks in LLM APIs using fuzzing techniques. ## Decision facts: gateway - **Pricing:** freemium - Open-source with no explicit monetary cost, but requires users to handle infrastructure costs associated with local Docker deployment - **Requirements:** Min 4 GB RAM; Requires Docker; Docker and Docker Compose are required for deployment; Initial launch takes several minutes due to downloading machine learning models (~1.5GB+) for the first time - **Adopt for:** Self-hosted firewall for securing AI applications with guardrails and content moderation. ## Choose when ### Choose FuzzyAI if… - FuzzyAI is primarily Jupyter Notebook; gateway is Python. - License: FuzzyAI is Apache-2.0, gateway is Other. - Tags unique to FuzzyAI: ai, ai-red-team, fuzzing, jailbreak. - When you need to identify vulnerabilities specifically within the API layer of your large language models (LLMs). ### Choose gateway if… - gateway is primarily Python; FuzzyAI is Jupyter Notebook. - License: gateway is Other, FuzzyAI is Apache-2.0. - Pricing: Open-source with no explicit monetary cost, but requires users to handle infrastructure costs associated with local Docker deployment. - Requirements: Min 4 GB RAM; Requires Docker; Docker and Docker Compose are required for deployment; Initial launch takes several minutes due to downloading machine learning models (~1.5GB+) for the first time. - Tags unique to gateway: content-moderation, docker-compose, guardrails, pii-redaction. - Also covers LLM Frameworks. - gateway ships Docker support for self-hosted deployment. - When you need to self-host a secure gateway for LLM-based AI applications that requires local deployment via Docker ## 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. ## When NOT to use gateway - Avoid if you are looking for cloud-managed services, as this tool is designed solely for local or self-hosted environments - Not suitable if you require extensive customization beyond the provided policies.yaml file and predefined guardrails for content moderation and security ## Common questions ### What is the difference between FuzzyAI and gateway? FuzzyAI: A tool for automated LLM fuzzing to detect and mitigate jailbreaks. gateway: Self-hosted firewall for securing AI applications with guardrails and content moderation.. See the comparison table for live GitHub stats and shared categories. ### When should I choose FuzzyAI over gateway? Choose FuzzyAI over gateway when FuzzyAI is primarily Jupyter Notebook; gateway is Python; License: FuzzyAI is Apache-2.0, gateway is Other; Tags unique to FuzzyAI: ai, ai-red-team, fuzzing, jailbreak; When you need to identify vulnerabilities specifically within the API layer of your large language models (LLMs). ### When should I choose gateway over FuzzyAI? Choose gateway over FuzzyAI when gateway is primarily Python; FuzzyAI is Jupyter Notebook; License: gateway is Other, FuzzyAI is Apache-2.0; Pricing: Open-source with no explicit monetary cost, but requires users to handle infrastructure costs associated with local Docker deployment; Requirements: Min 4 GB RAM; Requires Docker; Docker and Docker Compose are required for deployment; Initial launch takes several minutes due to downloading machine learning models (~1.5GB+) for the first time; Tags unique to gateway: content-moderation, docker-compose, guardrails, pii-redaction; Also covers LLM Frameworks; gateway ships Docker support for self-hosted deployment; When you need to self-host a secure gateway for LLM-based AI applications that requires local deployment via Docker. ### 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. ### When should I avoid gateway? Avoid if you are looking for cloud-managed services, as this tool is designed solely for local or self-hosted environments Not suitable if you require extensive customization beyond the provided policies.yaml file and predefined guardrails for content moderation and security ### Is FuzzyAI or gateway more popular on GitHub? FuzzyAI has more GitHub stars (1,543 vs 127). Stars measure visibility, not whether either tool fits your constraints. ### Are FuzzyAI and gateway open source? Yes - both are open-source projects on GitHub (FuzzyAI: Apache-2.0, gateway: Other). ### Where can I find alternatives to FuzzyAI or gateway? GraphCanon lists graph-backed alternatives at [FuzzyAI alternatives](/tools/cyberark-fuzzyai/alternatives) and [gateway alternatives](/tools/trylonai-gateway/alternatives) ([FuzzyAI markdown twin](/tools/cyberark-fuzzyai/alternatives.md), [gateway markdown twin](/tools/trylonai-gateway/alternatives.md)), 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](/compare/cyberark-fuzzyai-vs-trylonai-gateway.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, FuzzyAI or gateway? FuzzyAI: Slowing. gateway: 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 FuzzyAI and gateway? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [FuzzyAI trust report](/tools/cyberark-fuzzyai/trust); [gateway trust report](/tools/trylonai-gateway/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=cyberark-fuzzyai`](/api/graphcanon/graph?tool=cyberark-fuzzyai) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_