Polygraf

What is Polygraf?

Polygraf is an on-premise Small Language Model (SLM) security platform that detects AI threats like fraud and deepfakes while protecting sensitive data. It runs securely within your infrastructure, avoiding cloud risks and ensuring data sovereignty.

Top Features:

• Data Privacy: discovers and shields sensitive information across your entire organization without data leaving your premises.
• Content Detection: identifies AI-generated, synthetic, or manipulated content with over 90% accuracy across multiple formats.
• Secure LLM: wraps tools like ChatGPT with redaction, anonymization, and comprehensive audit trails for safer AI use.
• Cross-Format Protection: works across files, chats, documents, calls, and cloud storage with no format left unprotected.

Use Cases:

• Insurance Fraud Detection: cuts fraud review time from days to hours by exposing fake insurance claims quickly.
• Government Document Processing: reduces bill evaluation time from 64 hours to just 7 minutes.
• Defense & Intelligence: analyzes communications to detect suspicious behavior and potential security threats.
• Data Compliance: enables AI use in restricted environments through privacy-compliant implementations.

Who Can Use Polygraf?

• Government Agencies: teams needing secure AI solutions that comply with strict data sovereignty requirements.
• Financial Institutions: organizations requiring fraud detection and protection for sensitive financial information.
• Insurance Companies: claims departments looking to streamline fraud detection and review processes.
• Security-Focused Enterprises: businesses handling sensitive data that need on-premise AI security solutions.

Pricing

• Free: 6-month trial, 2.5K tokens (~2K words/month). Or 30-day trial.
• Basic ($10/month): Popular. Basic features, reporting, analytics, up to 10 users.
• Lifetime ($59): One-time via AppSumo, 150K tokens/month (~135K words).
• Basic ($19.99/month): Starting tier for basic detection capabilities.
• Custom: Enterprise plans, usage-based, contact sales.

Pros and Cons

Pros:

• On-Premise Security: keeps all data within your infrastructure, eliminating cloud transmission risks.
• Superior Detection: outperforms major cloud providers with 71% better F1 scores across PII categories.
• Fast Deployment: launches in days rather than months with minimal hardware requirements.
• Comprehensive Compliance: meets GDPR, HIPAA, PCI-DSS, and government security standards.

Cons:

• Hardware Requirements: needs at least 8GB RAM and 1.3 GHz CPU for optimal performance.
• Learning Curve: may require time for teams to fully understand all available capabilities.
• Integration Complexity: might need customization for specific enterprise systems and workflows.

FAQs:

1) How does Polygraf differ from cloud-based AI security tools?

Polygraf runs entirely on your hardware, eliminating data transmission to external servers and reducing both latency and privacy concerns.

2) Does Polygraf use my data to train its models?

No, Polygraf never stores or reuses your data for training purposes, using only pre-trained SLMs with explainable predictions.

3) What hardware do I need to run Polygraf?

Minimal requirements include 8GB RAM and a 1.3 GHz CPU, with no specialized GPU needed for standard operations.

4) Can Polygraf work in classified or air-gapped environments?

Yes, Polygraf is designed for zero-trust architectures with portable deployment options specifically for classified operations.

5) How quickly can we implement Polygraf in our organization?

Most organizations can deploy Polygraf within days, not months, with real-time detection and redaction capabilities available immediately.