You deployed a model in production.
Do you know if it can be manipulated?
Stryda runs adversarial prompt datasets against your LLM in minutes — directly in the browser, with zero CLI setup. Get your security score before attackers find it for you.
Datasets mapped to
Foundry Hub
Backed by the industry’s leading startup programs.
Microsoftfor Startups
AWSfor Startups
Cloudflarefor StartupsWhat We Do
Security assessments built around your specific AI system.
LLM Security Review
In-depth analysis by our researchers to identify vulnerabilities, data exposure risks, and potential attack surfaces in your language models.
Adversarial Robustness Testing
We systematically evaluate your model's resistance to adversarial inputs using both established and novel techniques developed by our research team.
Prompt Injection Assessment
Hands-on penetration testing to evaluate how your AI responds to adversarial inputs and manipulation attempts.
Conversational AI Hardening
Comprehensive review of your chatbot or assistant, covering input validation, output filtering, and edge cases.
Why Stryda
The difference between finding real vulnerabilities and generating noise.
Zero Setup, Zero Exposure
Prompts execute in your browser. Your API keys never touch our servers. No CLI to install, no YAML to configure, no infrastructure to maintain.
Curated, Not Generated
Every prompt is hand-reviewed by security researchers and maps to a real attack surface observed in production. 500 curated prompts surface more actionable vulnerabilities than 50,000 auto-generated variations.
Compliance-Ready Output
Every run produces a structured report mapped to OWASP LLM Top 10, MITRE ATLAS, and NIST AI RMF — ready to share with your security team, auditors, or regulators.
How We Work
A clear process, with direct communication at every step.
Intake
Initial consultation to understand your system, goals, and concerns. We define scope together.
Testing
Our team conducts hands-on security testing based on the agreed scope.
Findings
We document all discoveries and assess their severity and impact.
Reporting
You receive a detailed report with findings, risk analysis, and remediation guidance.
Wrap-up
Final call to discuss findings, answer questions, and plan next steps.
You'll receive status updates throughout the engagement. Our team is available for questions during business hours.
Stryda vs the free alternatives
Garak, Promptfoo, and HuggingFace datasets are valuable tools—but they require hours of setup, DevOps expertise, and uncurated data. Stryda works in your browser in 60 seconds.
| Feature | StrydaRecommended | Garak | Promptfoo | Manual |
|---|---|---|---|---|
| Time to first test | 60s | 2–4h | 1–3h | 1–5 days |
| No DevOps / CLI required | ||||
| Runs in the browser | ||||
| Multi-provider support | ||||
| Expert-curated datasets | ||||
| OWASP / MITRE / NIST mapped | ||||
| Public benchmark leaderboard | ||||
| Zero setup cost |
Expert curation, not random internet data
Every Stryda dataset is built and mapped to the most recognized AI security frameworks in the industry.
Research
Prompts are sourced from adversarial input research, red team exercises, and peer-reviewed academic literature.
Curation
Each prompt is reviewed for attack vector coverage, novelty, and effectiveness — generic or duplicate prompts are discarded.
Framework Mapping
Each prompt is tagged with OWASP LLM Top 10, MITRE ATLAS, and NIST AI RMF categories for compliance reporting.
Validation
Prompts are tested against a reference model pool before release to verify they produce meaningful security signals.
Mapped to recognized frameworks
OWASP LLM Top 10
Every prompt maps to one or more OWASP LLM Top 10 vulnerabilities — prompt injection, data leakage, insecure output handling, and more.
MITRE ATLAS
Attack vectors are classified using MITRE ATLAS tactics — the industry-standard framework for adversarial threats against AI/ML systems.
NIST AI RMF
Dataset results map to the NIST AI Risk Management Framework core functions: Govern, Map, Measure, and Manage.
EU AI Act
For high-risk AI systems, Stryda audit reports provide evidence of robustness testing required under the EU AI Act.
AI Security Benchmark
See how major LLMs perform against 10 adversarial attack vectors. Public, transparent, updated continuously from real user runs.
10
Attack Vectors
500+
Adversarial Prompts
24h
Refresh Cycle
Clear Pricing, No Surprises
Pick the level of support that fits you. Every plan includes direct access to our security research team.
Initial Consultation
Perfect to get started
- Reserved consultation slot
- Scope definition call
- Initial security assessment
- Custom proposal for your system
- Full refund if we can't help
Standard Engagement
For serious security audits
- Consultation included
- Up to 3 AI systems tested
- Detailed vulnerability report
- Remediation guidance & priorities
- Follow-up review call
Enterprise
For large-scale operations
- Dedicated security team
- Unlimited system scope
- Ongoing advisory retainer
- Priority 24h response
- Custom SLA & compliance
Why Work With Us?
We're security researchers with deep experience in AI systems. We handle every project personally—no automated tools, no generic reports. We work with you to understand your specific challenges and give you results you can actually act on.
// Newsletter
Security Insights
Occasionally we share what we learn. No spam, unsubscribe anytime.
No spam. Unsubscribe anytime.