PromptGuard

PromptGuard positions itself as the #1 firewall for AI prompts, offering enterprise-grade security for large language model applications. It acts as a protective gateway between an application and various LLM providers, scanning and validating all requests in real-time.

The tool is designed for developers and companies building AI-powered applications who need to secure their interactions with models from OpenAI, Anthropic, Google, and other providers. Its main use cases include protecting AI agents, customer support bots, RAG pipelines, code assistants, and applications in regulated industries like fintech and healthcare. Target audiences range from startups to large enterprises requiring compliance with standards like PCI-DSS and HIPAA.

• Prompt Injection Protection: Detects and blocks attempts to manipulate AI models through malicious prompts, preventing unauthorized access to system instructions or training data.
• PII Detection & Redaction: Identifies and masks 39+ types of personally identifiable information including financial, healthcare, and government identifiers to prevent data leaks.
• AI Agent Security: Validates tool calls before execution, blocks dangerous commands, and monitors agent behavior for anomalies in real-time to secure autonomous systems.
• Red Team Testing: Provides a built-in adversarial testing suite with 20+ attack vectors to evaluate security policies and generate detailed vulnerability reports.
• Smart Caching & Routing: Implements response caching to reduce redundant LLM calls and includes multi-provider routing with automatic failover to maintain application availability.
• Data Leak Prevention: Detects API keys, secrets, and sensitive data in both inputs and outputs, with optional synthetic data replacement for redacted information.
• GitHub Code Scanner: Connects to repositories via GitHub App to perform AST-based scanning that identifies unprotected LLM calls and creates automatic fix pull requests.
• Policy-as-Code: Allows security guardrails to be defined in YAML, versioned in git, and applied via CLI for full configuration lifecycle management.
• Zero Retention Mode: Enables per-project processing of requests without storing prompt content, ensuring data privacy for sensitive applications.
• Confidence Scores & Alerts: Provides confidence scores for every security decision via headers and sends webhook and email alerts for detected threats.

• Step 1: Sign up for an account: Register for a free account on the PromptGuard website to receive an API key and access the dashboard.
• Step 2: Update your API configuration: Change your LLM client's base URL to point to PromptGuard's gateway and add your PromptGuard API key to the request headers.
• Step 3: Configure security policies: Use the default security rules or customize detection thresholds, PII redaction settings, and rate limits according to your application's needs.
• Step 4: Test your integration: Use the live demo or red team testing features to verify that threats are being detected and legitimate requests are passing through correctly.
• Step 5: Monitor the dashboard: Review the real-time dashboard to see threats blocked, requests analyzed, cache savings, and audit logs of all security decisions.
• Step 6: Set up alerts: Configure email or webhook alerts to be notified immediately when high-confidence threats are detected in your application.
• Step 7: Integrate into CI/CD: Add the GitHub Action to your pipeline to run red team tests on every pull request and ensure security standards are maintained.
• Step 8: Scale as needed: Upgrade your plan based on request volume and enable advanced features like zero retention mode or SSO for enterprise requirements.

• Minimal Integration Effort: Requires only changing the base URL and adding an API key header, with no SDK changes needed for most popular LLM providers.
• Comprehensive Threat Coverage: Protects against 20+ threat vectors including prompt injection, jailbreaks, data exfiltration, PII leaks, toxicity, and fraud with both ML and LLM-powered detection.
• Cost Reduction: Smart caching and bot traffic blocking can reduce LLM costs by 40-60% according to the ROI calculator, providing immediate financial benefits alongside security.
• Real-Time Visibility: Offers a live dashboard showing every security decision as it happens, including threats blocked, PII redacted, and cache savings with dollar amounts.
• Industry-Specific Compliance: Provides specialized protection for regulated industries with features supporting PCI-DSS, HIPAA, and other compliance requirements out of the box.
• High Performance: Maintains typical latency of ~0.15 seconds for most requests, with complex analysis taking only 1-3 seconds, ensuring minimal impact on application performance.
• Vendor Agnostic: Works as a drop-in replacement for any OpenAI-compatible API and supports all major LLM providers including Anthropic, Google, Azure, and Mistral without vendor lock-in.
• Automatic Improvement: Uses feedback-driven recalibration to automatically adjust model confidence thresholds based on false positives and negatives, making detection more accurate over time.

• Community Support: Available for Free tier users through community forums and documentation with best-effort response times.
• Email Support: Provided for Pro tier customers with a 48-hour response time for technical issues and configuration questions.
• Priority Support: Offered to Scale tier users with a 24-hour response time for urgent issues affecting production applications.
• Dedicated Support: Enterprise customers receive dedicated support with a 4-hour SLA for critical issues and direct access to technical account managers.
• Documentation: Comprehensive guides, API references, and integration examples available at the PromptGuard documentation site.
• Demo Sessions: Schedule a live demo with the sales team to see the platform in action and get personalized implementation guidance.

• Web Application: Accessible directly in browser at [https://app.promptguard.co/](https://app.promptguard.co/, no download required for the main dashboard and management interface.
• CLI Tool: Available for download from the documentation site for managing policies-as-code, running red team tests, and integrating with CI/CD pipelines.
• VS Code Extension: Can be installed from the VS Code marketplace to scan code for unprotected LLM calls and receive security recommendations directly in the editor.
• GitHub Action: Available on the GitHub Marketplace for integrating red team testing and security gates into your continuous integration workflows.