Averlon offers an Agentic Remediation Operations platform that uses AI agents to assess which vulnerability and configuration findings are truly exploitable in a cloud environment and automatically generates safe, context‑aware fixes. By integrating directly with IDEs, source‑control systems, and CLI tools, it enables one‑click remediation and pre‑merge validation, dramatically shortening the exposure window and reducing overall risk for enterprise security and DevSecOps teams.
Funding
$8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises generate millions of vulnerability and configuration findings, but most of these alerts are not truly exploitable, leading to long exposure windows where attackers can compromise systems before fixes are applied.
Solution
Averlon provides an Agentic Remediation Operations platform that uses AI agents to assess which findings are materially exploitable in a given cloud environment. The system unifies data from posture, identity, runtime, and code to create a comprehensive view of assets and issues. It then performs applicability and reachability analysis, maps MITRE‑aligned attack chains, and prioritizes risks that break those chains. Safe, context‑aware remediation actions are generated automatically and can be applied with a single click directly within IDEs, source‑control platforms, or CLI tools, including pre‑merge checks to prevent new exposure. By automating triage, prioritization, and remediation, Averlon reduces the time from detection to fix, shrinking the exposure window and lowering overall risk.
Target Audience
Primary customers are security and DevSecOps teams in large enterprises that manage complex cloud infrastructures and need to accelerate vulnerability remediation while maintaining developer velocity.
Features
- Unified aggregation of posture, identity, vulnerability, container, and code signals into a single actionable dashboard
- AI‑driven applicability and reachability assessment to determine which vulnerabilities can be exploited in the specific environment
- MITRE‑mapped attack‑chain analysis that visualizes potential threat pathways and identifies high‑impact break points
- One‑click mitigation and remediation agents that generate safe, environment‑specific patches or configuration changes
- Pre‑merge validation agents that assess code changes for new exposure before they reach production
- Seamless integration with existing security tools (e.g., Wiz, Tenable, Qualys, Snyk) and developer workflows (IDE, Git, CLI)
- Agentic AI automation that reduces false positives and prioritizes critical risks, improving analyst efficiency