Blog Posts

You can't manage AI risk you haven't measured. Polygraf's AI risk assessment framework helps security teams identify exposure, quantify likelihood, and manage all AI risks.

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.

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

You can't manage AI risk you haven't measured. Polygraf's AI risk assessment framework helps security teams identify exposure, quantify likelihood, and manage all AI risks.

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.

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

Standard GDPR checklists don't address AI complications: model training consent, API cross-border transfers, right to erasure from model weights, and Article 22 automated decision-making.

AI Compliance Library

The most commonly missing clause in AI vendor contracts: explicit prohibition on using your data for model training. This policy defines the default rule, vendor contract requirements, and the approval

AI Compliance Library

If you use AI meeting transcription, writing assistants, or security monitoring, GDPR requires you to tell employees. This template covers all AI tools and includes the 'what we do and

AI Compliance Library

GDPR requires a DPIA before high-risk processing - and AI systems almost always qualify. This template covers the AI-specific questions standard DPIA templates miss: training data consent, model weight erasure,

AI Compliance Library

Before you can improve your AI security posture, you need an honest baseline. 25 questions across 5 domains - with a scoring guide that tells you where to focus first.

AI Compliance Library

32 controls across inventory management, data protection, prompt injection defenses, API security, logging, and incident readiness - each with the specific evidence an auditor or examiner will request.

AI Compliance Library

AI tools are being used across every function - but most organizations have zero visibility. This policy defines what must be logged, retention periods by data tier, who can access

AI Compliance Library

Traditional IR playbooks don't cover prompt injection, AI data exfiltration, or hallucination-caused compliance failures. Step-by-step procedures, timelines, and regulatory notification triggers for each AI-specific incident type.

AI Compliance Library

55% of employees use AI tools their organization hasn't approved. This policy defines what shadow AI is, how to detect it, how to respond by severity, and how to fix

AI Compliance Library

The most common AI data exposure is an employee pasting the wrong content into ChatGPT. This policy gives every employee a clear, tier-based answer: can I put this in an

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

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