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Defending Government Systems at Machine Speed Under CISA BOD 26-04 

Date & Time: Wednesday, November 4 | 8:30 AM - 11:30 AM

Location: Convene Hamilton Square, 600 14th St NW, Washington, DC 20005

Federal cyber defense no longer operates on a human timescale. AI has compressed exploitation timelines from weeks to hours, and CISA BOD 26-04's 3-day remediation clock reflects that shift directly — it was built for an adversary that moves at machine speed, not for the manual triage and patch cycles most agencies still rely on.

This workshop examines what it actually takes to detect, prioritize, and remediate vulnerabilities fast enough to close the gap between disclosure and exploitation, including live demonstration and hands-on training inside a Risk Operations Center showing machine-speed detection and remediation in action.


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The Risk Operations Center Quantified: Mythos Measured & Managed 

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#1: Rethinking Risk Measurement

Most security programs measure activity and call it risk. This session challenges that assumption, laying the conceptual foundation for a Risk Operations Center built on measurement that is precise, quantified, and defensible.

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#2: Arrival, Burndown, and Survival

How fast is exposure arriving? How quickly are you closing it? How long does it survive? These three questions, precisely measured, unlock your Average Window of Exposure and transform how you understand the scale and cost of risk in your environment.

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#3: The Exposure Economics of Mythos

AI is quietly rewriting the math of cyber risk. This session puts hard numbers on what that means, using Average Window of Exposure to reveal the economic cost of your current burndown rate and making the case for hyper-prioritization and autonomous remediation as the only response that matches the pace of a modern threat.

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#4: Presenting to the Board

Getting boards to act on cyber risk is one of the hardest things a security leader does. This session teaches you to translate your ROC's quantified exposure into narratives that frame investment decisions and build lasting executive confidence.

Key Takeaways:

  • How AI is compressing exploit timelines, and what that means for remediation SLAs under BOD 26-04
  • How AI-speed detection closes the gap between disclosure and exploitation, before remediation even begins
  • Why manual triage and human-paced patch cycles are now a structural risk, not just an inefficiency
  • A live look at machine-speed detection, prioritization, and remediation in action