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What is Trustwise?

Trustwise is an all-encompassing API tailored to maximize the advantages of generative AI securely. Although modern AI technologies boast significant capabilities, they often encounter hurdles related to compliance, bias, data protection, and cost management. Trustwise presents a specialized API that fosters trust in AI, aligning organizational objectives with ethical practices and economic efficiency across diverse AI applications. By leveraging Trustwise, businesses can boldly explore the frontiers of innovation powered by AI technology. Built over two years in partnership with leading industry specialists, our platform ensures the safety, strategic coherence, and financial viability of your AI initiatives. It actively mitigates the risk of harmful inaccuracies and protects sensitive information from unauthorized breaches. Furthermore, Trustwise keeps comprehensive audit trails to promote learning and enhancement, guaranteeing traceability and accountability throughout all interactions. It encourages human oversight in AI decision-making processes and supports the ongoing evolution of systems to improve their effectiveness. With integrated benchmarking and certification that comply with NIST AI RMF and ISO 42001 standards, Trustwise leads the way in responsible AI practices. This enables organizations to navigate the intricate landscape of AI deployment with both assurance and ethical integrity, ultimately fostering a more trustworthy AI ecosystem.

What is Armet AI?

Armet AI presents a powerful GenAI platform focused on security through Confidential Computing, which encompasses every aspect from data ingestion and vectorization to LLM inference and response management within secure enclaves enforced by hardware. By leveraging advanced technologies such as Intel SGX, TDX, TiberTrust Services, and NVIDIA GPUs, the platform guarantees that data remains encrypted in all states—whether at rest, in transit, or during processing. This encryption is fortified with AI Guardrails that automatically sanitize sensitive inputs, implement security protocols, spot inaccuracies, and comply with established organizational standards. Moreover, the platform enhances Data & AI Governance by offering consistent role-based access controls, promoting collaborative project frameworks, and enabling centralized management of access rights. Its End-to-End Data Security ensures a zero-trust encryption model across all layers, including storage, transit, and processing. Additionally, its commitment to Holistic Compliance secures adherence to regulations such as GDPR, the EU AI Act, and SOC 2, effectively protecting sensitive data like PII, PCI, and PHI, which in turn bolsters the integrity and confidentiality of data management processes. By focusing on these critical security and compliance elements, Armet AI enables organizations to harness AI capabilities without compromising on safety measures. Ultimately, this empowers businesses to innovate confidently while ensuring that their data handling practices are both secure and compliant.

Media

Media

Integrations Supported

Integrations Supported

Amazon Web Services (AWS)
Google Drive
Microsoft Excel
Microsoft PowerPoint
Microsoft SharePoint
NVIDIA virtual GPU
Slack

API Availability

Has API

API Availability

Has API

Pricing Information

$799 per month
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Trustwise

Company Location

United States

Company Website

trustwise.ai/

Company Facts

Organization Name

Fortanix

Date Founded

2016

Company Location

United States

Company Website

www.fortanix.com/platform/armet-ai

Categories and Features

Categories and Features

Generative AI

Not specified

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