Virtual Event
Frontiers in Security Automation with Frontier AI Models
Aug 18, 2026
2:00 PM - 3:00 PM ET
Webinar
- Use a practical decision-making framework to AI-enable SecOps work without eroding the judgment, skills and career paths your team depends on
- Avoid “AI strategy” traps, including repackaged machine learning wins, vendor hype and the security equivalent of early cloud-washing
- Ground AI adoption in concrete SecOps examples, including threat intelligence, hunting, exercises, response, patching, and remediation, built upon frontier models such as Mythos/Fable
Wolfgang Goerlich
- Use a practical decision-making framework to AI-enable SecOps work without eroding the judgment, skills and career paths your team depends on
- Avoid “AI strategy” traps, including repackaged machine learning wins, vendor hype and the security equivalent of early cloud-washing
- Ground AI adoption in concrete SecOps examples, including threat intelligence, hunting, exercises, response, patching, and remediation, built upon frontier models such as Mythos/Fable
Wolfgang Goerlich
Frontiers in Security Automation with Frontier AI Models
CISOs and SecOps leaders are constantly assessing the balance as they experiment with and deploy AI across their teams and processes. Too little AI? From a staffing and organizational perspective, you risk your reputation by appearing stagnant or failing to capitalize on the touted promises of speed and scale. Too much AI? You risk being asked to downsize your team or lose the foundational skills typically built in lower-level analyst roles. In this webinar, IANS Faculty Wolfgang Goerlich helps security leaders determine where to lean in on AI capabilities, shows how to use tools like MCP connectors to integrate intel into your processes, and provides examples using Mythos/Fable as a backdrop to help you modernize your SecOps capabilities.
- Use a practical decision-making framework to AI-enable SecOps work without eroding the judgment, skills and career paths your team depends on
- Avoid “AI strategy” traps, including repackaged machine learning wins, vendor hype and the security equivalent of early cloud-washing
- Ground AI adoption in concrete SecOps examples, including threat intelligence, hunting, exercises, response, patching, and remediation, built upon frontier models such as Mythos/Fable
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