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Averlon

Close the Exposure Window with Agentic Remediation

AiDOOS Verified SAAS Security
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Category
Security
Deployment
Cloud (SaaS)
AiDOOS Deploy
72 hours

About Averlon

Averlon is an agentic Remediation Operations (RemOps) platform designed to close the gap between vulnerability discovery and fix. It ingests findings from across your cloud environment—including posture, identity, runtime, vulnerability scanners, and code—and applies AI to determine what is genuinely exploitable, modeling how issues chain together to reach critical assets. The platform triages noise, prioritizes vulnerabilities that matter, and delivers context-aware fixes directly into developer workflows, reducing the time from months to minutes. It also applies the same reasoning pre-merge to prevent new exposures from entering production. By focusing on action rather than findings, Averlon helps security teams shrink their exposure window, reduce false positives, and accelerate remediation velocity. With features like Applicability & Reachability Assessment, Attack Chain Analysis, Mitigation Agents, and Remediation Agents, Averlon enables organizations to move from a reactive vulnerability backlog to proactive, automated risk reduction. Its capabilities are backed by world-class investors and recognized by CISOs for providing unmatched visibility and driving measurable security outcomes.

Challenges It Solves

  • Vulnerabilities accumulate faster than teams can fix them, leading to large backlogs.
  • Security teams are overwhelmed by false positives and noise from existing tools.
  • Time between vulnerability discovery and fix is often months, leaving organizations exposed.
  • Developers lack context and safe fixes to remediate vulnerabilities quickly without breaking systems.

Screenshots

Averlon screenshot 1
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Use Cases

Exposure Management

Averlon helps security teams identify and remediate exploitable exposures in their cloud environments, reducing the window between discovery and fix.

Vulnerability Prioritization

By applying attack chain analysis and reachability assessment, Averlon cuts through noise to focus on the vulnerabilities that matter most.

Automated Remediation

Averlon delivers safe, context-aware fixes directly to developers, streamlining the remediation process and reducing manual effort.

Pricing

Custom pricing — built for your team

Averlon pricing is tailored to your organisation's size, integrations, and requirements. AiDOOS generates your proposal instantly — scoped & ready in seconds.

Starter Business Enterprise
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💡 Pricing insight from reviewers: Averlon typically requires a custom quote based on cloud footprint and number of workloads, making it more suitable for enterprise budgets.

Key Features

Agentic AI Remediation

AI agents that triage, prioritize, and remediate exposures, delivering safe fixes directly into developer workflows.

Attack Chain Analysis

Models how vulnerabilities, misconfigurations, and identities chain together to identify the most critical paths to high-value assets.

Applicability & Reachability Assessment

Determines which vulnerabilities actually affect your environment and are reachable by attackers, filtering out non-exploitable issues.

Mitigation Agents & Remediation Agents

Provide context-aware fixes that account for breaking changes and environment specifics, directly integrated via APIs.

Unified Exposure Graph

Creates a unified graph across cloud and application environments to correlate and visualize exposures.

Preventive Analysis (Precog)

Evaluates proposed code changes in CI to determine exploitability in real environment, preventing new exposures before merge.

What Reviewers Say

What works well

  • Reduces false positives by focusing on what is actually exploitable and reachable.
  • Delivers automated fixes directly into developer workflows, accelerating remediation from months to minutes.

Common concerns

  • Pricing not publicly disclosed, which may hinder comparison for potential buyers.
  • As a newer product, the ecosystem of integrations may be less extensive than established competitors.

Reviews

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No reviews yet for Averlon

AiDOOS-verified review data is collected after deployment. Deploy this product and be among the first to share your experience.

Reviewer Demographics

Top Industries

No data available

Company Size

No data available

Enterprise Readiness

SOC 2

Identity & Access

SSO Okta, Azure AD, Google Workspace
RBAC role-based
Audit Logs

Data Security

At restAES-256
In transitTLS 1.2+
Key mgmtVendor-managed

SLA & Availability

Uptime SLA99.9%
RPO
RTO
Pen test

Compliance & Portability

Data residencyUS, EU
Data export JSON, CSV
Right to erasure

Integrations

GitHub

Integrates with GitHub to deliver AI-generated fixes and security insights directly into developer workflows, enabling pull request comments and remediation automation.

Native 1-2 hours ⇄ Bi-directional ⚡ AiDOOS Pre-wired

GitLab

Provides integration with GitLab to surface vulnerabilities and remediation actions within merge requests and CI pipelines.

Third_Party 1-2 hours

AWS

Ingests cloud resource configurations, IAM policies, and security findings from AWS to assess vulnerability exploitability and attack paths.

Native 2-4 hours ⚡ AiDOOS Pre-wired

Azure

Connects to Microsoft Azure to monitor cloud assets and security configurations, enabling remediation of exposures.

Third_Party 2-4 hours

Google Cloud

Integrates with Google Cloud Platform to analyze resources and identity permissions for vulnerability prioritization.

Third_Party 2-4 hours

Kubernetes

Assesses Kubernetes RBAC and network policies to determine reachability of vulnerabilities and possible attack chains.

Third_Party 4-8 hours

Terraform

Scans Terraform configurations to prevent misconfigurations and vulnerabilities from reaching production, integrating with CI/CD.

Third_Party 2-4 hours

Slack

Delivers security alerts and remediation updates to security teams via Slack channels, enabling faster collaboration.

Third_Party < 1 hour

Governance & Compliance

EU AI Act

No data available

Data Processing Agreement

No data available

Sub-processors

No data available

Right to Erasure

No data available

Change Notifications

No data available

NIST AI RMF

No data available

AiDOOS Managed Deployment

Deploy Averlon in 72 hours

AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.

12
Deployments
94%
Adoption rate
4.8/5
Post-deploy sat.
2-4 weeks
Time to value

Prerequisites

  • Cloud account access (AWS, Azure, or GCP)
  • API credentials for cloud provider
  • Administrative access to configure IAM roles

Configuration Options

  • Single sign-on (SSO) integration
  • Custom alerting rules
  • Integration with existing CI/CD pipeline

Often Deployed With

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Common Setup Issues (& how AiDOOS handles them)

— % of deployments
— % of deployments
— % of deployments

How Averlon Compares

Product AI & Analytics Ease of Use Enterprise Features Pricing Integrations Mobile Experience Quick Setup Customer Support Rating Price/mo
Averlon This product
Excellent Good Excellent Fair Good Poor Fair Good $Custom/user
CrowdStrike
Excellent Good Excellent Fair Good Good Fair Good $Custom/user
Palo Alto Networks
Good Fair Excellent Poor Good Fair Fair Good $Custom/user
Wiz
Excellent Excellent Good Fair Good Fair Excellent Good $Custom/user
Virtual Delivery Center · A new delivery category

A Virtual Delivery Center for Averlon

Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.

  • Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
  • Refundable on unused Delivery Units, anytime — no questions asked
  • Re-delivery guarantee on acceptance miss
  • Pre-flight delivery sizing — you see the plan before you commit

How a Virtual Delivery Center delivers Averlon

Outcome-based delivery via AiDOOS’s VDC model.  Why VDC vs traditional consulting? →

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

1
Discover
Requirements & assessment
2
Integrate
Setup & data migration
3
Validate
Testing & security audit
4
Rollout
Deployment & training
5
Optimize
Performance tuning
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Frequently Asked Questions

Does Averlon integrate with my existing security tools?
Yes, Averlon ingests findings from vulnerability scanners, posture tools, runtime security, and cloud providers. It integrates with GitHub and GitLab to deliver fixes directly into developer workflows.
How does Averlon prioritize which vulnerabilities to fix first?
Averlon uses attack chain analysis and applicability/reachability assessments to determine which vulnerabilities are actually exploitable and pose the highest risk to critical assets, eliminating false positives.
Can Averlon automatically remediate vulnerabilities?
Yes, Averlon's remediation agents can automatically generate and apply fixes, often directly as pull requests, after evaluating breakage impact and environment specifics, with human approval options.
What cloud environments does Averlon support?
Averlon supports major cloud providers including AWS, Azure, and Google Cloud, as well as Kubernetes and Terraform configurations.
How long does it take to deploy Averlon?
With AiDOOS, deployment typically takes about 72 hours. Time to value is around 2-4 weeks depending on integration complexity and data volume.
Does Averlon provide SSO and compliance certifications?
Yes, Averlon supports SSO with providers like Okta and Azure AD, and is SOC 2 compliant, ensuring enterprise-grade security and compliance.

Quick Stats

Rating
12
Deployments
72 hours
Live in
99.9%
Uptime SLA
Deployment Complexity
Moderate (3/5)
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Vendor

Averlon
Founded 2017 · N/A
Verified Vendor

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