Evaluate Your AI Agents AgainstOWASP Top 10 Threats
Comprehensive security diagnostics for AI agents with actionable insights and privacy-focused actionable evaluation reports.
Trusted by industry leaders
Enterprise-grade security
Comprehensive AI Agent Protection
Protect your AI investments with our advanced security platform
Actionable Security Insights
Get detailed reports with clear remediation steps for every vulnerability detected in your AI agents.
Detailed Vulnerability Reports
- Clear explanations of each vulnerability with step-by-step remediation guides.
Executive Summaries
- High-level overviews for leadership with business impact analysis.
Security Dashboard
Interactive visualization of your agent's security posture
Privacy Ensured
Your data stays secure with our privacy-first approach
Privacy-First Approach
We prioritize your data security with multiple deployment options to meet your privacy requirements.
On-Premises Deployment
- Keep all data within your infrastructure with our self-hosted option.
Data Encryption
- All data is encrypted in transit and at rest for maximum security.
Enterprise Integration
Test your AI agents whether they're hosted on GitHub, in a private repo, or locally on your machine.
GitHub Integration
- Connect directly to your GitHub repos for seamless testing.
API Access
- Integrate with your CI/CD pipeline for automated security testing.
Seamless Integration
Works with your existing development workflow
Process
AI Security Evaluation in 3 Simple Steps
Get actionable security insights quickly and efficiently
Connect Your Agent
Link your AI agent via GitHub, API, or upload your code directly to our secure platform.
GitHub integration for seamless connection
API access for automated testing
Run Security Tests
Our platform automatically tests your agent against all OWASP Top 10 vulnerabilities and beyond.
Comprehensive OWASP Top 10 coverage
Additional advanced security checks
Review & Remediate
Get detailed reports with prioritized vulnerabilities and clear remediation steps.
Interactive dashboard with visualizations
Detailed JSON output for integration
Security Standard
Complete OWASP Top 10 for LLMs Coverage
Comprehensive testing for all critical security risks in Large Language Models
LLM01: Prompt Injection
Manipulating LLMs via crafted inputs to produce unintended behaviors, bypassing filters or extracting data.
LLM02: Sensitive Information Disclosure
Inadequate validation or sanitization of LLM outputs before processing by other components.
LLM03: Supply Chain
Compromising training data to manipulate model behavior or introduce vulnerabilities.
LLM04: Data and Model Poisoning
Causing resource exhaustion through specially crafted inputs that lead to service degradation.
LLM05: Improper Output Handling
Risks from compromised components, datasets, or plugins in the LLM ecosystem.
LLM06: Excessive Agency
LLMs revealing confidential data in responses, including training data memorization.
LLM07: System Prompt Leakage
LLM plugins accepting free-form text inputs that can exploit the plugin's insufficient input validation.
LLM08: Vector and Embedding Weaknesses
LLM-based systems with excessive functionality, permissions, or autonomy leading to unintended consequences.
LLM09: Misinformation
Systems or people overly trusting LLM outputs without supervision leading to potential errors.
LLM10: Unbounded Consumption
Unauthorized access, copying, or exfiltration of proprietary LLM models.
Integrations
Works With Your Existing Stack
Seamlessly integrate with your development workflow and infrastructure
GitHub Integration
Connect directly to your GitHub repositories for automated security testing in your existing workflow.
API Access
Integrate security testing into your CI/CD pipeline with our comprehensive REST API.
On-Premises Deployment
Keep all data within your infrastructure with our self-hosted deployment option.
Why It Matters
The Business Case for AI Security
Protecting your AI systems is no longer optional - it's essential
Security Breaches Are Costly
Prevent financial and reputational damage
Financial & Reputational Impact
Security breaches in AI systems can lead to significant financial losses and damage to your organization's reputation. A single vulnerability can compromise sensitive data and erode customer trust.
The average cost of a data breach is $4.45 million according to IBM's 2023 report
60% of small businesses close within 6 months of a cyber attack
Regulatory Compliance
With increasing regulations around AI systems (EU AI Act, NIST AI RMF, etc.), security testing is becoming a legal requirement, not just a best practice.
The EU AI Act imposes fines up to 7% of global turnover for non-compliance
NIST AI Risk Management Framework provides guidelines for secure AI development
Regulatory Compliance
Meet legal requirements for AI systems
Customer Trust
Build confidence in your AI solutions
Building Customer Trust
Security testing demonstrates your commitment to responsible AI development, building trust with customers and stakeholders.
83% of customers will stop using a service after a data breach
Companies with strong security practices see 23% higher customer retention
Ready to secure your AI agents?Start testing today.
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