LEARNING PATH // POLICY READERS, SECURITY LEARNERS, SYSTEMS ENGINEERS, ACQUISITION PROFESSIONALS, HISTORIANS, JOURNALISTS, EDUCATORS, AND SIMULATION DESIGNERS
Move from the kill-chain process to composable mission networks, DARPA ACK, JADC2, data and trust architecture, non-kinetic vulnerabilities, bounded AI autonomy, procurement friction, compound-failure testing, and public evidence control.
Estimated total: 235 minutes
This learning path is repository-authored curation of public educational routes. It records no participant testing, accepts no files or free text, sends no choices to a remote service, and grants no source authentication, specialist approval, accessibility certification, publication authority, operational authority, activation authority, production approval, or tuning authority.
Current review status: WIP.74 neutral kill-web curriculum — independent military, technical, cyber, legal, historical, accessibility, and affected-community review pending
A neutral map of AI-system attacks, AI-enabled military decision systems, kill chains, kill webs, JADC2, lifecycle human control, cybersecurity, procurement, evidence, and safe simulation.
/psyops/ai-kill-chainsA chain remains the ordered mission process; a web supplies multiple technically compatible, operationally valid, sufficiently trusted, and authorized ways to execute it.
/psyops/ai-kill-chains/kill-chain-to-kill-webDARPA’s ACK program addressed a commander-facing composition problem: discover cross-domain capabilities, represent availability and tradeoffs, compare candidate combinations, and recommend mission options.
/psyops/ai-kill-chains/darpa-ack-capability-marketplaceA functioning kill web combines a capability graph with governed data, resilient transport, edge computing, identity, policy, open interfaces, observability, and human authority.
/psyops/ai-kill-chains/kill-web-architectureJADC2/CJADC2 is the broader enterprise approach; a kill web is a composable operational mission thread that runs through its data, networks, analytics, authorities, people, and procedures.
/psyops/ai-kill-chains/jadc2-and-kill-websThe same interoperability that creates alternate paths also expands the number of interfaces, credentials, transformations, software dependencies, trust relationships, and failure modes that can be attacked or misconfigured.
/psyops/ai-kill-chains/kill-web-vulnerabilities-and-defenseAI is most defensibly used as layered perception, fusion, prediction, uncertainty estimation, and constrained recommendation—not as an unbounded replacement for legal, command, or contextual judgment.
/psyops/ai-kill-chains/ai-autonomy-in-kill-websKill-web value emerges across independently managed programs, but legacy acquisition accountability, budgets, contracts, test boundaries, data rights, and sustainment remain organized around bounded platforms.
/psyops/ai-kill-chains/procurement-and-open-architectureKill webs should be tested as evolving mission threads under compound degradation, not only as individually compliant components connected in a demonstration.
/psyops/ai-kill-chains/kill-web-testing-and-resilienceA public-safe explorer connecting source-bounded propositions, unsupported inferences, currentness, uncertainty, authority conditions, supersession, correction triggers, and lifecycle reopening.
/psyops/ai-kill-chains/evidence-and-decision-control-explorer