Blog Posts

Regulators are asking for AI audit trails enterprises can't produce. Polygraf AI explains what to log and how long to retain it.

Blog Posts

Most enterprises have deployed AI but skipped the security controls. Polygraf's 25-point AI security checklist maps the controls every enterprise needs to know.

Blog Posts

Banks that ban AI lose productivity. Banks that don't govern it face breaches. Polygraf explains how financial institutions are securing employee AI tools.

Blog Posts

AI tools that process cardholder data may fall under PCI-DSS scope. Polygraf AI explains what finance teams need to know about PCI-DSS compliance for AI.

Blog Posts

Cloud AI security isn't viable for every regulated environment. Polygraf prepared a decision framework for on-premise vs. cloud AI deployment.

Blog Posts

Legal teams are using AI with privileged, confidential, and client data. Polygraf explains how law firms and in-house counsel manage AI data risk.

News

Read the latest news piece about Polygraf AI being named Most Innovative Cybersecurity Company at the 2026 Cybersecurity Stars Awards by The Hacker News.

News

In the latest Gartner® market guide for guardian agents, Polygraf AI was named a representative vendor.

News

Read the latest breakdown on Cybersecurity Insiders by Yagub Rahimov, Founder and CEO of Polygraf AI, on how AI meeting assistants are embedding themselves into enterprise workflows, silently capturing and

News

SAN FRANCISCO–(BUSINESS WIRE)–Polygraf AI, the company redefining AI security for critical operations, today announced a major milestone in its mission to secure the enterprise AI frontier. During the RSA Conference

News

AUSTIN, Texas–(BUSINESS WIRE)–Polygraf AI today announced the launch of its Desktop Overlay, a new product designed to provide continuous, real-time guidance for compliance operations and data protection directly at the

News

With the new $9.5M Seed round led by Allegis Capital, Polygraf AI is building the next generation of enterprise AI security—powered by its proprietary Small Language Models.

Blog Posts

Regulators are asking for AI audit trails enterprises can't produce. Polygraf AI explains what to log and how long to retain it.

Blog Posts

Most enterprises have deployed AI but skipped the security controls. Polygraf's 25-point AI security checklist maps the controls every enterprise needs to know.

Blog Posts

Banks that ban AI lose productivity. Banks that don't govern it face breaches. Polygraf explains how financial institutions are securing employee AI tools.

Blog Posts

AI tools that process cardholder data may fall under PCI-DSS scope. Polygraf AI explains what finance teams need to know about PCI-DSS compliance for AI.

Blog Posts

Cloud AI security isn't viable for every regulated environment. Polygraf prepared a decision framework for on-premise vs. cloud AI deployment.

Blog Posts

Legal teams are using AI with privileged, confidential, and client data. Polygraf explains how law firms and in-house counsel manage AI data risk.

White Papers & Publications

THE CURRENT LANDSCAPE OF AI IN ENTERPRISES
In 2023, it is estimated that enterprises worldwide invested around $151 billion in Artificial Intelligence [1].

White Papers & Publications

This Whitepaper was put together by Polygraf AI in Response to FBI Alert Number I-051525-PSA (May 15, 2025)

White Papers & Publications

This Whitepaper was put together by Polygraf AI in Response to FBI Alert Number I-051525-PSA (May 15, 2025)

White Papers & Publications

Polygraf AI sets the benchmark for Sensitive Data protection, delivering maximum detection accuracy across PII, PHI and PCI data types and 70 percent fewer false positives than leading cloud tools.

White Papers & Publications

Abstract
This article explores the profound impact of artificial intelligence (AI) on data mapping workflows within the context of personally identifiable information (PII) discovery and classification.

White Papers & Publications

Abstract
This article explores the profound impact of artificial intelligence (AI) on data mapping workflows within the context of personally identifiable information (PII) discovery and classification.

Case Studies

Summary:
Polygraf AI Contextual Confidentiality Engine Organizations invest heavily in securing networks and digital assets, yet physical document leakage remains an overlooked vulnerability.

Case Studies

Summary:
Polygraf AI Contextual Confidentiality Engine Organizations invest heavily in securing networks and digital assets, yet physical document leakage remains an overlooked vulnerability.

Case Studies

Summary:
County, [State], serves as a key governmental hub, managingvital public services, official records, and local election data.

Case Studies

Abstract:
This article explores the profound impact of artificial intelligence (AI) on data mapping workflows within the context of personally identifiable information (PII) discovery and classification.

AI Compliance Library

A responsible AI policy is your organization's public and internal position on how you use AI and why. This template covers principles, prohibited uses, governance structure, and the CEO statement

AI Compliance Library

Boards are asking for AI risk reports. This 2-page quarterly template: RAG status, key metrics, incidents, vendor risk, regulatory changes, and what you're asking the board to decide.

AI Compliance Library

An AI governance committee without a charter is just a meeting. A charter defines who has authority over what, how fast decisions are made, and what the board sees. This

AI Compliance Library

When the board asks 'what's our AI risk posture?' - this is the answer. Governance structure, AI system categorization, key risk metrics, and the control hierarchy. Aligned to NIST AI

AI Compliance Library

35% of AI security incidents involve simple prompt manipulation. Four attack types, a 5-factor risk scoring framework, specific mitigations per risk level, and test cases to run before shipping.

AI Compliance Library

Every AI-powered feature needs a security review before it ships. 20 controls across credential security, prompt injection defenses, output validation, agent privilege boundaries, data protection, and monitoring.

USPTO

Patent: System and Method for Identifying and Determining a Content Source

2026

Cyber Defense Magazine Global InfoSec Awards

Most Innovative AI Usage Control

2026

2026 Cybersecurity Excellence Awards

AI Data Security & Governance

2026

22nd Annual Globee® Awards

22nd Annual Globee® Awards for Cybersecurity

2026

Road to Battlefield

Winner

2025

SXSW

Best in Show


2025

Product That Count

Top AI & Data Category Product

2025

Summerfest Tech

Best Fin/Insurtech 2025

2025

SXSW PITCH

Enterprise, Smart Data, FinTech & Future of Work

2025

SOC_2_Type_2_Logo-e1713271292123

SXSW

Top 10 Startup Of The Year

2024

dealroom.co

Top Analytics Startup to Watch for Globally

2024

Nvidia

NVIDIA Inception Program Member

2024

Product That Count

Top AI & Data Governance Product

2024

C2PA

Contributing Member

2024

Product That Count

Top AI Content Detection Tool

2024

Intel

Intel Alliance Program Member

2024

Austin Chamber

Top AI Startup

2023

AI Compliance Library

A responsible AI policy is your organization's public and internal position on how you use AI and why. This template covers principles, prohibited uses, governance structure, and the CEO statement

AI Compliance Library

Boards are asking for AI risk reports. This 2-page quarterly template: RAG status, key metrics, incidents, vendor risk, regulatory changes, and what you're asking the board to decide.

AI Compliance Library

An AI governance committee without a charter is just a meeting. A charter defines who has authority over what, how fast decisions are made, and what the board sees. This

AI Compliance Library

When the board asks 'what's our AI risk posture?' - this is the answer. Governance structure, AI system categorization, key risk metrics, and the control hierarchy. Aligned to NIST AI

AI Compliance Library

35% of AI security incidents involve simple prompt manipulation. Four attack types, a 5-factor risk scoring framework, specific mitigations per risk level, and test cases to run before shipping.

AI Compliance Library

Every AI-powered feature needs a security review before it ships. 20 controls across credential security, prompt injection defenses, output validation, agent privilege boundaries, data protection, and monitoring.

AI Compliance Library

What can engineers send to OpenAI, Anthropic, and Azure AI APIs? What's absolutely prohibited? What are the mandatory controls? Approved providers, data rules, and a before/during/after build checklist.

AI Compliance Library

Building with AI introduces attack surfaces traditional secure development practices don't cover. API key management, prompt injection defenses, agent privilege boundaries, and production logging requirements.

AI Compliance Library

Regulators, auditors, and enterprise customers ask to see AI incident logs. This template covers both the initial incident log and the post-incident review - with the regulatory assessment section most

AI Compliance Library

The data travels to OpenAI's servers. It may be stored and used for training. You cannot get it back. And depending on the data, you may have 72 hours to

Case Studies

Summary:
Polygraf AI Contextual Confidentiality Engine Organizations invest heavily in securing networks and digital assets, yet physical document leakage remains an overlooked vulnerability.

Case Studies

Summary:
Polygraf AI Contextual Confidentiality Engine Organizations invest heavily in securing networks and digital assets, yet physical document leakage remains an overlooked vulnerability.

Case Studies

Summary:
County, [State], serves as a key governmental hub, managingvital public services, official records, and local election data.
Products

thank you

Your download will start now.

Thank you!

Please provide information below and
we will send you a link to download the white paper.