Stay ahead of AI-enabled threats to your Insurance Mainframe

As AI accelerates cyberattacks, the traditional security advantage of mainframe environments is disappearing. This white paper explores how AI is helping adversaries analyze privilege relationships, uncover attack paths, automate reconnaissance and identify vulnerabilities at unprecedented speed. It also outlines the assessment discipline insurers need to respond, shifting from periodic reviews and isolated findings to continuous, attack-path-based analysis that spans mainframe, cloud and distributed environments.

What you’ll learn:

• Why AI is removing the expertise barrier that once protected mainframe environments and changing the economics of cyberattacks
• The eight AI-enabled attack vectors targeting insurance mainframe estates, from privilege escalation analysis to data exfiltration planning
• How attackers use graph analytics to uncover complete attack paths instead of isolated vulnerabilities
• Why insurers need continuous, path-based assessment across mainframe, cloud, identity, and distributed environments
• The eight security commitments that help organizations move from periodic compliance reviews to evidence-based cyber resilience

Download the White Paper

Get a practical executive guide to understanding how AI is reshaping cyber risk for insurance mainframe environments. Learn how leading organizations are using continuous attack-path analysis, risk-tiered remediation and independent validation to identify exploitable weaknesses before adversaries do.

Frequently Asked Questions:

Why are insurance mainframes becoming more attractive targets for AI-enabled attackers?

Insurance mainframes contain highly concentrated stores of policy, claims, billing, payment, reinsurance, and customer data. AI enables attackers to analyze relationships, permissions, and operational patterns more quickly, making it easier to identify exploitable paths to these critical assets.

What makes AI different from previous cybersecurity threats?

AI does not need to discover new vulnerabilities to be effective. Instead, it can rapidly analyze permissions, identities, trust relationships, and system configurations to uncover attack paths that would take humans significantly longer to find.

What is attack-path analysis, and why does it matter?

Attack-path analysis focuses on identifying the shortest route from an entry point to a critical business asset. Rather than evaluating vulnerabilities individually, it reveals how seemingly low-risk findings can combine into a high-impact compromise scenario.

How should insurers adapt their security programs?

The paper recommends moving from periodic audits to continuous assessment, correlating mainframe and distributed environments, implementing path-based remediation, enforcing phishing-resistant MFA, monitoring configuration drift and independently validating controls.

Who should read this white paper?

This guide is designed for insurance security leaders, CISOs, risk executives, infrastructure teams and compliance stakeholders who need to understand how AI is changing cyber risk and what assessment practices can help them stay ahead of emerging threats.