Polygraf AI

Name: Polygraf AI
Brand: Polygraf AI
Rating: 5 (1 reviews)

AI Native

Redefining AI security with locally deployed, explainable and auditable Small Language Models.

Est 2021|Valuation $40M|Raised $11.8M|12 Ref Customers

LinkedIn 4K|Web traffic 6K|FTEs 28|HQ Austin, Texas, US

MarketsAI Security Platforms Data Security Platforms

01Competitive Landscape

Narrative analysis

- Polygraf and Nightfall differentiate on deployment model and focus: Nightfall is oriented toward SaaS DLP across cloud applications, while Polygraf places emphasis on local deployment and SLM-based controls, which may be relevant for data sovereignty or air-gapped requirements. - Compared with Microsoft Purview, Polygraf's differentiation centers on local/on-prem AI governance and specific AI threat detection capabilities. Organizations standardized on Microsoft infrastructure may find Purview simpler to integrate. - Specialist AI-guardrail vendors focus on model lifecycle and runtime enforcement; Polygraf overlaps on prompt threat detection and governance but also includes data privacy and provenance capabilities.

Adoption trends / market signals

Vendor press and award visibility are documented in public announcements. Funding activity reported by the vendor indicates investor interest, but publicly available evidence of broad enterprise adoption and scale is limited.

	Polygraf AI	Nightfall AI	Microsoft Purview DLP
Starting Price	Consumer detector displays low-cost monthly tiers for individual users; enterprise pricing is custom/unclear.	Publishes enterprise packages; public pricing details may be gated.	Microsoft Purview pricing for certain DLP capabilities is published; confirm current rates and licensing requirements.
Primary Fit	Organizations requiring local/on-prem AI governance and controls for prompts/files, plus auditability; also consumer-facing content detection offerings.	Security teams seeking SaaS DLP and shadow AI discovery with integrations.	Enterprises standardized on Microsoft 365 seeking integrated compliance and DLP across M365 and connected services.
Key Strength	Local deployment options and SLM-based governance narrative; broad coverage of AI risk areas (DLP, prompt threats, content provenance).	Established SaaS DLP focus with integrations and operational workflows.	Ecosystem integration and procurement simplicity for Microsoft customers; comprehensive compliance tooling.
Key Weakness	Limited public third-party reviews for enterprise deployments; mixed signals on consumer detection accuracy; enterprise packaging not clearly presented on public pages.	Less emphasis on on-prem/air-gapped deployments; pricing transparency can be limited.	Complexity in deployment and policy tuning; best-suited for Microsoft-centric environments.

01Competitive Landscape

Narrative analysis

Polygraf and Nightfall differentiate on deployment model and focus: Nightfall is oriented toward SaaS DLP across cloud applications, while Polygraf places emphasis on local deployment and SLM-based controls, which may be relevant for data sovereignty or air-gapped requirements.
Compared with Microsoft Purview, Polygraf's differentiation centers on local/on-prem AI governance and specific AI threat detection capabilities. Organizations standardized on Microsoft infrastructure may find Purview simpler to integrate.
Specialist AI-guardrail vendors focus on model lifecycle and runtime enforcement; Polygraf overlaps on prompt threat detection and governance but also includes data privacy and provenance capabilities.

Adoption trends / market signals

	Polygraf AI	Nightfall AI	Microsoft Purview DLP
Starting Price	Consumer detector displays low-cost monthly tiers for individual users; enterprise pricing is custom/unclear.	Publishes enterprise packages; public pricing details may be gated.	Microsoft Purview pricing for certain DLP capabilities is published; confirm current rates and licensing requirements.
Primary Fit	Organizations requiring local/on-prem AI governance and controls for prompts/files, plus auditability; also consumer-facing content detection offerings.	Security teams seeking SaaS DLP and shadow AI discovery with integrations.	Enterprises standardized on Microsoft 365 seeking integrated compliance and DLP across M365 and connected services.
Key Strength	Local deployment options and SLM-based governance narrative; broad coverage of AI risk areas (DLP, prompt threats, content provenance).	Established SaaS DLP focus with integrations and operational workflows.	Ecosystem integration and procurement simplicity for Microsoft customers; comprehensive compliance tooling.
Key Weakness	Limited public third-party reviews for enterprise deployments; mixed signals on consumer detection accuracy; enterprise packaging not clearly presented on public pages.	Less emphasis on on-prem/air-gapped deployments; pricing transparency can be limited.	Complexity in deployment and policy tuning; best-suited for Microsoft-centric environments.