Penstrike Security: Enterprise-Grade LLM Security Platform

Penstrike Security is a powerful, automated security platform designed to protect large language model (LLM) applications from critical threats like prompt injections, jailbreaks, and data leakage. Built for production environments, it offers real-time monitoring, continuous scanning, and compliance reporting to ensure AI systems remain secure and trustworthy. Ideal for AI teams, enterprises, and developers, Penstrike integrates seamlessly with major LLM providers like OpenAI and Anthropic, providing instant threat detection and actionable insights without requiring code changes.

Key Features:

• Automated Security Scanning: Continuously detects vulnerabilities in LLM applications, including prompt injections, jailbreaks, and data leakage.
• OWASP LLM Top 10 Compliance: Built on the latest OWASP research to address the most critical LLM security risks.
• Real-time Monitoring & Alerts: Provides instant notifications for security threats and comprehensive logging.
• API-First Integration: Drop-in replacement for OpenAI, Anthropic, and other LLM APIs with zero code changes.
• Compliance Reporting: Generates automated reports for SOC 2, GDPR, HIPAA, and NIST AI RMF compliance.
• Model Health Dashboard: Tracks the security status of connected models, scan history, and overall security score.
• High Detection Accuracy: Achieves 99.9% detection accuracy with low latency (<50ms).
• Actionable Insights: Delivers detailed findings and automated fixes to improve model security.
• Security in Three Steps: Connect your LLM, run automated scans, and deploy with confidence.

Pricing: Penstrike offers a Free Trial to get started, with enterprise plans available for organizations needing advanced security features and compliance reporting.

Conclusion: Penstrike Security is a robust and essential tool for any organization deploying LLMs in production. Its automated, comprehensive approach to security ensures that AI applications are protected from evolving threats, enabling teams to build and deploy AI with confidence.