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SUMMARY: As tools like Mythos create new AI-cybersecurity concerns, CIOs and CISOs need to be prepared for two challenges: Security Remediation and Patch to Production acceleration.
SHOW: 1037
SHOW TRANSCRIPT: The Enterprise AI Show #1037 Transcript (docs.google.com/document/d/1bsTqLNHYuQKqBj9nvA…)
SHOW VIDEO: youtu.be/H5KxoiEIfUo
SHOW SPONSORS:
• Nasuni - Activate your data for AI and request a demo (nasuni.com/AI)
• OutShift by Cisco - “Scaling Out Superintelligence” (outshift.cisco.com/internet-of-cognition/white…) The Internet of Cognition architecture
• ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this! (sharegate.com/protect)
SHOW NOTES:
• Project Lightwell (redhat.com/en/lightwell)(Red Hat and IBM)
• Athena (chainguard.dev/athena) (Chainguard)
• Anthropic Project Glasswing (anthropic.com/glasswing)
• OpenAI GPT 5.5-Cyber (openai.com/index/gpt-5-5-with-trusted-access-f…)
THESIS: Major initiatives are forming to help enterprise organizations combat security vulnerability threats found or created using new AI-cyber tools such as Anthropic Mythos. What are the key considerations, and what additional steps do organizations need to take to be advantaged by these capabilities?
Part 1
• The Breaking Point and the Mythos Moment
• The scope of open source security and support
• Patches, disclosures and upstream open source
• Clearinghouses, EOs, Laws and Communities
• Remediation - Build vs. Buy
Part 2
• How fast can you get from Patch to Production?
• Mitigation before patching
• Fast path and stable patch pipelines?
• Automation in patching vs. automation in deployment
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