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What is Onit?

Onit is an artificial intelligence-powered security operations platform designed to optimize the identification, prioritization, and remediation of cybersecurity vulnerabilities through autonomous AI agents. This cutting-edge solution tackles a longstanding flaw in security processes by going beyond simple detection to enable continuous, automated management of vulnerabilities in complex environments. The platform integrates data from a variety of security tools, asset inventories, and scanners, allowing its agents to connect vulnerabilities to the systems they affect, identify ownership, and understand the real business impacts rather than just relying on conventional severity scores. By linking vulnerabilities to their potential business consequences, Onit improves risk prioritization and executes remediation actions automatically, significantly reducing the delays often caused by manual coordination among teams. A crucial aspect of Onit is its “decision-based” framework, which transforms established resolution strategies into enforceable rules for all similar future incidents. This methodology not only strengthens the overall security posture but also cultivates a proactive approach to tackling emerging threats in real-time, ensuring that organizations are better prepared for potential cyber risks. Ultimately, Onit represents a significant advancement in the field of cybersecurity management.

What is AppSOC?

Achieve thorough coverage across various security scanners, which should include infrastructure, platforms, and applications. Formulate a cohesive policy that can be uniformly implemented across all scanners present in the pipeline, incorporating any microservice or application. Improve your software bill of materials by assimilating insights garnered from your SCA platform along with a diverse array of scanners. By generating consolidated reports that link applications to vulnerabilities, business leaders and product owners are better equipped to accelerate their time to market. The implementation of automated triaging, deduplication, and an impressive 95% reduction in noise enables a concentrated focus on high-priority vulnerabilities. With the advent of workflow automation designed for risk-based triaging and prioritization, organizations can effectively scale their operations instead of manually managing each individual issue. In addition, applying machine learning for correlation and risk assessment at the application level grants a precise understanding of how each vulnerability affects compliance, allowing for more strategic decision-making regarding security policies. This methodology not only refines security practices but also significantly boosts the organization’s agility in managing potential threats while fostering a culture of proactive risk management. By adopting these strategies, companies can ensure they are better prepared to handle the evolving landscape of cybersecurity challenges.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Jira
Qualys Container Security
Rapid7 Command Platform
Splunk Cloud Platform
Wiz

Integrations Supported

Amazon Web Services (AWS)
Jira
Azure Boards
Checkmarx
GitLab
Jenkins
Microsoft Teams
Slack
Tenable One
Veracode

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Online Training

Company Facts

Organization Name

Onit Security

Company Location

United States

Company Website

onit.security/

Company Facts

Organization Name

AppSOC

Date Founded

2021

Company Location

United States

Company Website

www.appsoc.com

Categories and Features

Exposure Management

Not specified

Categories and Features

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