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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Fido is a versatile, open-source C++ library designed for machine learning applications, particularly in the fields of embedded electronics and robotics. This library features various implementations, including trainable neural networks, reinforcement learning techniques, and genetic algorithms, alongside a comprehensive robotic simulation environment. Additionally, Fido offers a human-trainable robot control system, as outlined by Truell and Gruenstein. Although the simulator is not included in the latest version, it remains accessible for users who wish to experiment with it on the simulator branch. With its modular design, Fido can be easily adapted for diverse projects in the robotics domain.

Description

SurePassID is a sophisticated multi-factor authentication solution that can be deployed in various environments to protect both information technology and operational technology sectors, encompassing essential infrastructure, older systems, on-site operations, air-gapped setups, hybrid clouds, and fully cloud-based systems. The platform accommodates numerous authentication strategies, including passwordless and phishing-resistant methods like FIDO2/WebAuthn (utilizing FIDO2 PINs, biometrics, or push notifications), alongside one-time passwords (OTP through OATH HOTP/TOTP), mobile push notifications, SMS, voice calls, and conventional techniques. SurePassID seamlessly integrates with popular operating systems, facilitating domain and local logins, RDP/SSH remote access, and even older or embedded Windows systems typically found in OT/ICS/SCADA settings, thus allowing for offline two-factor authentication when necessary. Additionally, it offers protection for VPNs, network devices, appliances, legacy applications, and web applications through SAML 2.0 or OIDC identity provider capabilities, as well as access protocols for network devices. This flexibility makes SurePassID an essential tool for organizations aiming to enhance their security posture in diverse operational landscapes.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

ABB Analyze No 
AWS GovCloud No 
Active Directory No 
Double No 
ForgeRock No 
Fortinet No 
Google Cloud Platform No 
JumpCloud No 
LastPass No 
LogRhythm SIEM No 
ManageEngine AD360 No 
ManageEngine ADManager Plus No 
Okta No 
OneLogin No 
OpenOTP Security Suite Yes 
Oracle Cloud Infrastructure No 
Palo Alto Networks AutoFocus No 
Ping Identity No 
Siemens APM No 
Splunk Cloud Platform No 

Integrations

ABB Analyze Yes 
AWS GovCloud Yes 
Active Directory Yes 
Double Yes 
ForgeRock Yes 
Fortinet Yes 
Google Cloud Platform Yes 
JumpCloud Yes 
LastPass Yes 
LogRhythm SIEM Yes 
ManageEngine AD360 Yes 
ManageEngine ADManager Plus Yes 
Okta Yes 
OneLogin Yes 
OpenOTP Security Suite No 
Oracle Cloud Infrastructure Yes 
Palo Alto Networks AutoFocus Yes 
Ping Identity Yes 
Siemens APM Yes 
Splunk Cloud Platform Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$48 per year
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Fido

Website

fidoproject.github.io

Vendor Details

Company Name

SurePassID

Founded

2010

Country

United States

Website

surepassid.com

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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