About Averlon

Averlon provides cloud security through its Panoptic Cloud Visibility and Attack Chain Analysis, which identify critical vulnerabilities that could lead to real-world attacks. By reducing alert noise and offering precise remediation strategies, Averlon enhances incident response efficiency for security teams.

```xml <problem> Cloud environments generate a high volume of security alerts, overwhelming security teams and making it difficult to identify the critical vulnerabilities that attackers can exploit to cause real-world damage. Traditional security tools often lack the context to differentiate between inconsequential issues and those that form part of a viable attack chain. This leads to wasted effort on low-priority alerts and delayed responses to genuine threats. </problem> <solution> Averlon provides an AI-powered cloud security platform that analyzes cloud assets, network connections, access policies, and vulnerabilities to identify potential attack chains. By performing deep graph analysis, Averlon pinpoints the small subset of interconnected vulnerabilities that represent the most significant risk. The platform reduces alert fatigue by prioritizing issues based on their potential to be exploited in a real-world attack. Averlon also accelerates incident response by providing precise remediation strategies and a clear understanding of the blast radius of potential attacks, enabling security teams to quickly contain and eradicate threats. </solution> <features> - Panoptic Cloud Visibility: Deep graph analysis of cloud assets, network connections, access policies, and vulnerabilities. - Attack Chain Analysis: Identifies potential real-world attacks by mapping interconnected vulnerabilities. - AI-Powered Risk Prioritization: Focuses on the subset of vulnerabilities that pose the greatest risk. - Rapid Remediation: Suggests precise fixes and accelerates mean-time-to-remediate (MTTR). - Unified Risk Platform: Provides a unified view of risk across applications and infrastructure. - Automated Remediation: Automates remediation tasks to reduce manual effort. - Blast Radius Determination: Determines the true impact of potential incidents. </features> <target_audience> Averlon targets security teams within enterprises that utilize cloud infrastructure, particularly those struggling with alert fatigue and the complexity of managing cloud security risks. </target_audience> ```

What does Averlon do?

Where is Averlon located?

Averlon is based in Redmond, United States.

When was Averlon founded?

Averlon was founded in 2022.

How much funding has Averlon raised?

Averlon has raised 12800000.

Location

Redmond, United States

Founded

2022

Funding

12800000

Employees

18 employees

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Averlon

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Executive Summary

averlon.ai 1K+

Founded 2022 – Redmond, United States

Funding

Estimated Funding

$10M+

Team (15+)

No team information available.

Company Description

Problem

Cloud environments generate a high volume of security alerts, overwhelming security teams and making it difficult to identify the critical vulnerabilities that attackers can exploit to cause real-world damage. Traditional security tools often lack the context to differentiate between inconsequential issues and those that form part of a viable attack chain. This leads to wasted effort on low-priority alerts and delayed responses to genuine threats.

Solution

Averlon provides an AI-powered cloud security platform that analyzes cloud assets, network connections, access policies, and vulnerabilities to identify potential attack chains. By performing deep graph analysis, Averlon pinpoints the small subset of interconnected vulnerabilities that represent the most significant risk. The platform reduces alert fatigue by prioritizing issues based on their potential to be exploited in a real-world attack. Averlon also accelerates incident response by providing precise remediation strategies and a clear understanding of the blast radius of potential attacks, enabling security teams to quickly contain and eradicate threats.

Features

Panoptic Cloud Visibility: Deep graph analysis of cloud assets, network connections, access policies, and vulnerabilities.

Attack Chain Analysis: Identifies potential real-world attacks by mapping interconnected vulnerabilities.

AI-Powered Risk Prioritization: Focuses on the subset of vulnerabilities that pose the greatest risk.

Rapid Remediation: Suggests precise fixes and accelerates mean-time-to-remediate (MTTR).

Unified Risk Platform: Provides a unified view of risk across applications and infrastructure.

Automated Remediation: Automates remediation tasks to reduce manual effort.

Blast Radius Determination: Determines the true impact of potential incidents.

Target Audience

Averlon targets security teams within enterprises that utilize cloud infrastructure, particularly those struggling with alert fatigue and the complexity of managing cloud security risks.