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What is ZEST Security?

ZEST Security introduces a cutting-edge platform designed for risk resolution that utilizes AI to revolutionize the process of cloud risk remediation for security teams. Unlike traditional security approaches that merely identify vulnerabilities, ZEST adopts a proactive strategy by connecting the right team with the necessary solutions, thereby reducing the time taken from detecting a vulnerability to implementing effective remediation. This all-encompassing platform guarantees complete remediation coverage by comparing the desired DevOps configuration against the existing cloud runtime environment, making it easier to identify and manage risks in both controlled and uncontrolled cloud environments. With its automated root cause analysis feature, the platform precisely pinpoints the origins of issues, down to individual assets and specific lines of code, allowing teams to address various challenges with minimal intervention. Additionally, the AI-enhanced risk resolution pathways significantly decrease the average time to remediation while eliminating the need for manual triage through the use of dynamic remediation methods. Consequently, security teams are empowered to respond to threats more rapidly and effectively than ever before, enhancing their overall operational efficiency. This innovative platform not only streamlines the remediation process but also fosters a culture of continuous improvement in cloud security practices.

What is Cloud IQ?

CloudIQ functions as a smart virtual security assistant, leveraging AI technology to integrate effortlessly with AWS, GCP, and Azure ecosystems for the continual oversight of cloud security posture. It streamlines the process of scanning cloud configurations, pinpointing vulnerabilities and compliance deficiencies, while offering actionable insights through contextual risk scoring. Furthermore, it provides a visual representation of potential threat pathways and flags excessive access permissions across multiple accounts and regions. The platform allows for natural language queries to facilitate prompt investigations and supports remediation efforts via an interactive user interface. As a 24/7 virtual security specialist, CloudIQ connects to cloud accounts, collects telemetry data, uncovers critical vulnerabilities, and helps teams address issues more effectively. Designed specifically for the needs of CISOs, DevOps, and cloud security professionals, it features automated prioritization, conversational access to insights, and visual dashboards, which work together to reduce alert fatigue and promote measurable improvements in cloud security posture. Moreover, by consistently learning and evolving, CloudIQ helps organizations remain proactive against emerging security threats, ensuring a robust defense against potential risks. This adaptability not only enhances security measures but also fosters a culture of continuous improvement within security teams.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Amazon S3
Clair
CloudSploit
Databricks
Docker
Kubernetes
Terraform
Trivy

Integrations Supported

Amazon Web Services (AWS)
Cloudnosys
Google Cloud Platform
Microsoft 365
Microsoft Azure

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

ZEST Security

Date Founded

2023

Company Location

United States

Company Website

zestsecurity.io

Company Facts

Organization Name

Cloudnosys

Date Founded

2016

Company Location

United States

Company Website

cloudnosys.com/cloud-iq

Categories and Features

Cloud Security

Not specified

Cyber Risk Management

Not specified

Categories and Features

AI Cybersecurity

Not specified

Cloud Security

Not specified

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