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What is Gradient Cybersecurity Mesh?

Gradient Cybersecurity Mesh stands out by combining hardware-rooted trust and software designed to resist threats from nation-states, which significantly reduces the dangers tied to credential-based cyber intrusions while ensuring a user experience that does not require any modifications to existing systems. By linking credentials to machines through these secure hardware foundations, it becomes exceedingly difficult for cybercriminals to capture and exploit credentials from unauthorized devices to impersonate legitimate users. With the implementation of Gradient’s secure enclave, both your credentials and access control protocols receive protection that meets the highest nation-state security standards, ensuring their integrity against any potential breaches. Furthermore, GCM allows for credential rotation in as little as ten minutes, facilitating short session lengths that can be renewed with ease, thus minimizing the risk of breaches and supporting the principles of least privilege. This forward-thinking strategy not only bolsters security but also aids organizations in meeting regulatory obligations amidst a landscape rife with evolving threats, thus fostering a more resilient cybersecurity posture overall. As a result, organizations can confidently navigate the complexities of the digital world while safeguarding their critical assets.

What is Baits?

Baits represents an innovative deception technology aimed at preventing credential theft by intercepting attackers before they can exploit stolen identities. By utilizing convincingly crafted fake authentication interfaces, such as those for VPN SSL and webmail, Baits entices malicious actors into revealing compromised credentials, thereby granting organizations immediate insight and the opportunity to respond proactively to potential breaches. In contrast to conventional monitoring tools, Baits is adept at capturing credentials that typically do not appear on the dark web, since attackers usually employ them directly. Its seamless integration into existing security frameworks empowers organizations to effectively identify, monitor, and counteract threats associated with credential misuse. For enterprises eager to bolster identity security, enhance their proactive threat intelligence capabilities, and stay one step ahead of cybercriminals, Baits offers an optimal solution that significantly enhances their defense strategies. This proactive approach not only fortifies security measures but also promotes a more resilient organizational posture against evolving cyber threats.

Media

Media

Integrations Supported

Chronicle SOAR
Cortex XSOAR
IBM QRadar SIEM
IBM QRadar SOAR
LogRhythm SIEM
Microsoft Sentinel
Splunk Cloud Platform
Splunk Enterprise
Splunk SOAR

Integrations Supported

Chronicle SOAR
Cortex XSOAR
IBM QRadar SIEM
IBM QRadar SOAR
LogRhythm SIEM
Microsoft Sentinel
Splunk Cloud Platform
Splunk Enterprise
Splunk SOAR

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Gradient

Date Founded

2018

Company Location

United States

Company Website

www.gradient.tech/

Company Facts

Organization Name

MokN

Date Founded

2024

Company Location

France

Company Website

www.mokn.io

Categories and Features

Cybersecurity

AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting

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