Compartir
The AI Trojan Horse: AI Convergence, the Defense Industrial Base, and the Last Redundancy It Can't Afford to Lose (The AI Convergence Series) (en Inglés)
Johnson, Peter (Autor)
·
Peter Johnson
· Tapa Blanda
The AI Trojan Horse: AI Convergence, the Defense Industrial Base, and the Last Redundancy It Can't Afford to Lose (The AI Convergence Series) (en Inglés) - Johnson, Peter
Libro Nuevo
Importado
Envío: 16 a 26 días háb.
$ 112.596$ 50.668
Costos de importación incluídos en el precio ✅
Reseña del libro "The AI Trojan Horse: AI Convergence, the Defense Industrial Base, and the Last Redundancy It Can't Afford to Lose (The AI Convergence Series) (en Inglés)"
The AI most of the defense industrial base is buying right now is nitrous on a 1986 Honda Civic. What's actually arriving is the Tesla, and every control you trust was built for the Civic. The Defense Industrial Base is unlike any other sector. When a retailer is breached, criminals want money. When a hospital is breached, they want leverage. But in defense contracting, the information is the target. The weapons specifications, the technical data packages, the supply chain maps, the records of the cleared workforce. These are the exact intelligence products foreign adversaries have pursued for decades through patient, sophisticated espionage. Now the industry is racing to deploy AI systems designed to do one thing above all others: synthesize, connect, and surface information across programs, suppliers, and classification levels. In The AI Trojan Horse, Peter Johnson delivers the uncomfortable conclusion that follows. AI convergence doesn't just create new attack surfaces in the defense industrial base. It assembles the collection targets, including yours. Building on the framework established across the AI convergence series, this book applies it to the highest-stakes environment on earth. Organized around People, Process, and Technology, it confronts the risks head-on: Why the 2015 OPM breach left the cleared workforce doubly exposed, and why the adversary may no longer need your SF-86 at all How CMMC compliance frameworks were never built for systems that rewrite themselves overnight Why the experienced engineer who notices when something "doesn't look right" may be the last redundancy your organization can't afford to lose What the Boeing 737 MAX and SolarWinds teach us about automation dependency and cascading failure How to govern AI before it becomes too embedded to control This is not a prediction of catastrophe. It is a guide to asking better questions, bridging policy and practice, executive leadership and technical reality, before the vulnerabilities created by convergence become the crises that define the next decade. "Your scientists were so preoccupied with whether or not they could, they didn't stop to think if they should." If your organization is adopting AI in the defense sector, read this before you sign the letter of intent.
