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357M visits/mo+1%#2 Coding & Development
Polygraf AI
Enterprise AI security platform that inspects interactions, enforces compliance, redacts sensitive data, and detects threats across apps, APIs, and LLMs.
$5/mStarting price
16KMonthly visits
20Popularity
About Polygraf AI
Polygraf AI is an enterprise-grade AI security and zero-trust governance platform designed for regulated organizations that must control how employees, agents, and AI systems handle sensitive data. The tool provides real-time inspection, detection, and redaction of personally identifiable information (PII), credentials, and regulated data across AI tools, email, browsers, and collaboration platforms like Slack to prevent unauthorized data exposure. It features a desktop overlay that flags sensitive information within approximately 100 milliseconds, using color-coded severity indicators to alert users to confidential or critical data before accidental disclosure occurs during daily workflows. For third-party large language model (LLM) usage, Polygraf offers secure LLM proxy workflows that remove confidential fields from prompts before sending them to external models such as ChatGPT or Claude, then restores the data post-processing to enable safer adoption of external AI services. The platform supports API-first deployment with containerized options for air-gapped, zero-trust, or cloud environments (including Kubernetes, Docker, and major cloud providers), alongside audit logs, shadow AI visibility, and real-time threat detection capabilities targeting prompt injection, jailbreaking, and data exfiltration attempts. Polygraf AI is built for organizations requiring IL2–IL6-ready deployments, making it suitable for handling highly sensitive government or enterprise data with explainable, auditable governance powered by a proprietary Small Language Model (SLM) security layer.
Key features
- Real-time inspection and redaction of sensitive data across AI tools and enterprise channels
- Desktop overlay with color-coded severity alerts for confidential and critical data
- Secure LLM proxy workflows that sanitize prompts before sending to external models
- API-first deployment with containerized options for air-gapped or cloud environments
- Audit logs, shadow AI visibility, and real-time threat detection
- Support for IL2–IL6-ready deployments for sensitive data handling
- Explainable governance powered by a proprietary Small Language Model (SLM)
- Containerized deployment options (Kubernetes, Docker, major clouds)
- Prompt injection, jailbreaking, and data exfiltration detection
- Integration with email, browsers, Slack, and other enterprise platforms
Use cases
- Preventing accidental disclosure of PII or regulated data in AI interactions
- Enforcing compliance with data protection policies across AI tools and workflows
- Securing third-party LLM usage by sanitizing prompts and restoring data post-processing
Pros
- Real-time detection and redaction of sensitive data such as PII, credentials, and regulated information across multiple platforms
- Desktop overlay with color-coded severity indicators for immediate user alerts within approximately 100 milliseconds
- Secure LLM proxy workflows that sanitize prompts before sending to external models and restore data post-processing
- API-first deployment with containerized options for air-gapped, zero-trust, or cloud environments including Kubernetes and Docker
- Audit logs, shadow AI visibility, and real-time threat detection against prompt injection, jailbreaking, and data exfiltration
Cons
- May introduce latency in workflows due to real-time inspection and redaction processes
- Requires integration with existing systems, which could involve setup and configuration overhead
- Limited to enterprise-grade use cases, potentially excluding smaller organizations or individual users
Frequently asked questions about Polygraf AI
What does Polygraf AI do?
Polygraf AI is an enterprise-grade AI security and zero-trust governance platform that inspects, detects, and redacts sensitive data in real time across AI tools, email, browsers, and collaboration platforms like Slack.
Who is Polygraf AI designed for?
The platform is designed for regulated organizations, including enterprises and government entities, that require strict control over sensitive data handling and compliance with high security standards.
How does Polygraf AI handle third-party AI models like ChatGPT or Claude?
Polygraf offers secure LLM proxy workflows that remove confidential fields from prompts before sending them to external models, then restores the data after processing to enable safer adoption of external AI services.
What deployment options does Polygraf AI support?
The platform supports API-first deployment with containerized options for air-gapped, zero-trust, or cloud environments, including Kubernetes, Docker, and major cloud providers.
Does Polygraf AI provide real-time alerts for sensitive data exposure?
Yes, it features a desktop overlay that flags sensitive information within approximately 100 milliseconds using color-coded severity indicators to alert users before accidental disclosure.
What security threats does Polygraf AI detect?
The platform targets prompt injection, jailbreaking, and data exfiltration attempts, providing real-time threat detection and audit logs for explainable, auditable governance.
Polygraf AI traffic & engagement
polygraf.ai · third-party estimates from Similarweb
Data as of Sep 2026Full AI website ranking →
Monthly visits · Sep 202616K-26.1% MoM12-month high 22K (Aug 2026)
Rank among AI websites#3,874▼ 299 vs last monthof 8,652 tools on aitoolnavio™
Top marketUnited States31.5%Top 5 countries bring 87% of visits
Average visit8sTime on site per visit
Pages per visit1.7Average pages viewed
Bounce rate44%Leave after one page · lower is better
Similarweb global rank#1,560,698#906,011 in United States
Traffic trend
Last 4 months · grows by one month every month
- Jun 202613K
- Jul 202617K+34.7%
- Aug 202622K+28.6%
- Sep 202616K−26.1%
Top countries
Share of visits · estimated visits
Other countries: 12.7%
Compared with similar tools
Coding & Development · Sep 2026
Traffic figures are third-party estimates, good for scale and trends; they can differ from a company's own numbers. Updated monthly.
