Role Overview
Allianz is seeking a hands-on and detail-oriented Attack Surface Management (ASM) Expert to support the continuous discovery, monitoring, and reduction of Allianz’s risk exposure. In this role, you will be responsible for identifying assets, detecting vulnerabilities and misconfigurations, and ensuring risks are addressed before they can be exploited. You will work closely with IT, security operations, and architecture teams to maintain visibility across the integral environment and proactively reduce Allianz’s attack surface. This role is essential in strengthening our preventive cyber defense and enabling secure business innovation.

What You Do

You support and follow on the following prioritization, reporting, risk registration and consequence management on managing attack surface. This includes engaging the following activities:

Asset Discovery & Exposure Mapping: Continuously identify and map Allianz’s external-facing digital assets (domains, IPs, cloud services, applications), ensuring complete visibility into the attack surface.





Analyse findings from ASM tools, correlate with threat intelligence and business context, and prioritize exposures based on exploitability and potential impact.

Issue Validation & Remediation Support: Validate identified risks and exposures, work with IT, DevOps, and application owners to ensure timely mitigation and track remediation progress.

Misconfiguration & Shadow IT Detection: Detect unapproved or misconfigured systems and services (e.g., open ports, weak encryption, unmanaged cloud services), and initiate appropriate follow-up actions.

Documentation & Reporting: Maintain detailed documentation of findings, support reporting to management, and contribute to dashboards and KPIs that reflect ASM maturity and progress.

Security Best Practices Advocacy: Promote awareness of ASM risks and secure deployment practices across IT and development teams, helping reduce exposure from the ground up.

What You Bring

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📌 Digital Risk (Madrid)
🏢 Allianz Services
📍 Madrid