Mythos and the New Mainframe Security Conversation: AI & IBM Z® Risk Management

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AI-driven threat detection has changed the mainframe security conversation

When Anthropic announced restrictions on access to its most capable model, Mythos, one thing became clear: AI has dramatically accelerated how vulnerabilities can be discovered and analyzed.

Mythos was designed to identify security weaknesses in open-source software, but its impact reached far beyond open-source environments. It sparked a broader conversation about cybersecurity risk across the enterprise, including the systems organizations depend on most: the mainframe.

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Tim Hill, VP of Software Engineering at Rocket Software, joins CIO.com's Tom Schmidt to explore how Mythos has changed the security conversation and what a complete security strategy requires. 


As Tim Hill, VP of Software Engineering at Rocket Software, puts it, the Mythos event was a wake-up call that reached even the closed, proprietary world of the mainframe:

Everyone is acutely aware now that AI can really exploit vulnerabilities faster than skills and legacy tools can keep up.

Tim Hill VP Software Engineering at Rocket Software

The security landscape has changed. For IBM Z® organizations, the challenge is no longer simply finding vulnerabilities. It is understanding which risks matter most, how they affect the business, and how to continuously manage and demonstrate security across critical environments.

The conversation has moved from discovery to risk management

Mythos demonstrated the power of AI-driven vulnerability discovery. But identifying a vulnerability is only the beginning of the security journey.

Organizations must still answer critical questions:

  • What is the operational impact?
  • Which systems are affected?
  • How should remediation be prioritized?
  • Are existing controls effective?
  • Can risk be demonstrated to auditors, regulators, and executives?

These questions are driving a new focus on IBM Z risk management and continuous assurance.

This is where the mainframe security conversation is headed.

 

The numbers that raise the stakes

90%

of the top 100 banks run on mainframes

$3trillion

in activity flows through mainframes every day

That scale is why regulators have stopped granting mainframe exceptions, and why the era when mainframe teams could simply tell auditors to trust them is over.

 

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Mythos is a real step forward, but it is only one part of a broader security strategy. AI-driven vulnerability discovery has helped shine a light on mainframe risk, prompting organizations to look beyond detection and focus on understanding, prioritizing, and managing risk. A complete, modern IBM Z security strategy spans vulnerability discovery, remediation, governance, compliance, and continuous assurance.

Watch the full webinar, where Tim Hill and Tom Schmidt discuss how Mythos has changed the security conversation and what it takes to build a more comprehensive approach to mainframe risk management.

 

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