2026 WINNER · CYBERSECURITY STARS AWARDS
Polygraf AI · Behavioral Control Plane for Enterprise AI
Most Innovative Cybersecurity Company
Overview
Polygraf AI is an AI security and governance company focused on helping enterprises safely adopt and manage artificial intelligence in highly regulated, security-sensitive environments. The company provides locally deployed, explainable, and auditable Small Language Model (SLM) technology designed to detect and mitigate AI risks, including sensitive data leakage, compliance violations, deepfakes, synthetic content, and unauthorized AI usage.
Headquartered in Austin, Polygraf AI's AI Behavioral Control plane allows organizations to enforce AI policies without sending data to third-party cloud environments. Its platform operates inline and in real time,via air-gapped and on-premises deployments across enterprise workflows, protecting interactions in tools like ChatGPT, Claude, Microsoft Copilot, email, Slack, browsers, and internal AI systems while maintaining full auditability and compliance visibility. Polygraf AI gives organizations the control layer they need to use AI securely, privately, and responsibly.
The company's technology is built around privacy-first and zero-trust principles, enabling enterprises, government agencies, healthcare organizations, defense environments, and other regulated sectors to deploy AI securely without sacrificing operational control. Polygraf AI has received industry recognition, including "Best in Show" at SXSW 2025 and "Most Innovative AI Usage Control" at the 2026 Global InfoSec Awards during RSAC 2026.
Key Capabilities
Polygraf AI's Behavioral Control Plane is an inline AI security layer (like an IDS/IPS) that sits between users, agents, and AI systems to inspect content, enforce policy, and stop sensitive data from leaking to LLMs or external APIs. Polygraf deploys on-prem or in air-gapped environments, ensuring sensitive data never leaves the environment.
Polygraf AI eliminates sensitive data risk through "Privacy by Design." Sensitive data is masked before AI interaction, not audited after exposure. The platform prevents regulated data from ever leaving the trust boundary and protects against both inbound and outbound AI threats. Acting as a single enforcement layer across all AI interactions, it enables compliant AI use under NIST-RMF, GDPR, HIPAA, CCPA, FERPA, the EU AI Act, and other applicable requirements. Every decision in its 17-purpose-built Small Language Model stack is traceable and auditable, providing full auditability across prompts, uploads, and outputs.
Polygraf AI uses 17 purpose-built Small Language Models instead of inefficient LLMs for governance. The containerized, premise-agnostic deployment works on-prem, air-gapped, edge, or cloud environments, including classified setups where cloud-reliant competitors cannot operate. This AI-on-AI approach governs general AI with specialized AI, delivering superior accuracy while reducing AI security compute and energy costs by 95% compared with LLM-based governance tools. It operates on standard compute (40-110MB, 8GB RAM, 1.3GHz CPU), making enterprise-grade AI data protection accessible without specialized infrastructure. Benchmarks show approximately 24% improvement in detection accuracy over leading LLM-only and rules-based alternatives, and customers saw up to a 72% decline in data leak triggers within just 4 weeks of deployment.
Polygraf AI's Desktop Overlay provides continuous, real-time guidance for compliance operations and data protection directly at the user interface level. Operating directly at the desktop interface across all applications, the Overlay identifies and flags sensitive information within 100 milliseconds as users type. Unlike legacy DLP systems, the Overlay proactively highlights sensitive content in real time using Polygraf's task-specific Small Language Models running entirely within customer infrastructure, providing complete control, visibility, and auditability over AI interactions.
How we are different
Polygraf AI addresses the most significant blocker to enterprise and government AI initiatives: sensitive data risk. Organizations in finance, healthcare, defense, and government face mounting concerns around data leakage, synthetic manipulation, and opaque AI decisions. These risks prevent deployment in regulated and classified environments and create friction at the intersection of risk, compliance, and AI usage. Polygraf focuses on this unsolved layer and enables AI adoption where it was previously prohibited.
Polygraf redefines AI security by embedding data governance directly into enterprise AI workflows. Its privacy-by-design architecture keeps regulated data within the trust boundary, preventing exposure rather than reacting to it. Using proprietary, task-specific, and energy/infrastructure-efficient Small Language Models, the platform delivers full AI traceability and auditability, while remaining lightweight enough for on-premise, air-gapped and client-controlled environments.
Deployable from edge to air-gapped and cloud environments, Polygraf's AI Behavioral Control Plane (ABC) enables compliance with standards such as NIST-RMF, IL2–IL6, HIPAA, and GDPR, while improving cost efficiency and reducing real-world risk. The platform enables safe use of third-party LLMs, secure internal model deployment, and protection against synthetic manipulation and data leakage.
Polygraf AI recently announced it has been granted a core patent by the USPTO for its proprietary Content Source Detection AI model. The patent covers technology that identifies the specific origin of digital content, providing a vital layer of transparency given the proliferation of AI. Using a sophisticated "shifting window analysis," the technology distinguishes between human and AI-generated text with forensic precision, even within mixed documents or those containing intentional manipulation.
With more than 27,000 users across finance, insurance, healthcare, the public sector, and defense, Polygraf demonstrates sustained value and product-market fit at the point of highest enterprise friction. It reduces regulatory exposure, infrastructure cost, and operational risk while enabling AI efficiency. It delivers a production-ready governance layer while others are still whiteboarding or prototyping.
Polygraf swept SXSW 2025 with "Best in Show" and category awards, including Enterprise, Smart Data, FinTech, and Future of Work. The company was also named one of the Top 10 Cybersecurity Startups to Watch in 2025 by TechCrunch as part of Startup Battlefield 200 and was recognized as the "Most Innovative AI Usage Control for Security and Compliance" at the 14th Annual Global InfoSec Awards from Cyber Defense Magazine.
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