On June 2, a new executive order directed CISA, NSA, and Treasury to build an AI cybersecurity clearinghouse to coordinate vulnerability discovery and patching across government. Weeks earlier, 40-plus members of Congress warned that AI systems like Anthropic's Mythos now find and weaponize zero-days faster than any disclosure or patch process can keep up. The "automated, agile, and assured" future now must become the present.
Here's the uncomfortable math: when you depend on hundreds of open source projects and the time to exploit any one of them has collapsed from years to roughly 20 hours, patching your way to safety becomes functionally impossible. Securing the kill web, from business systems to the terrestrial networks behind Space Force satellite operations, now means eliminating the attack surface before code ships, not documenting it afterward.
This talk lays out what data-centric, automated security actually looks like for DAF and Space Force environments: software continuously rebuilt from verified source with zero known CVEs, FIPS 140-3 cryptography and STIG-aligned hardening that satisfy NIST 800-53 and the DoD RMF as a byproduct of the build, and remediation measured in hours instead of quarters. You'll leave with an understanding of how to move your program from "patch faster" towards a secure-by-default baseline that delivers assurance at machine speed.
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