Traditional security models struggle to keep pace with adversaries exploiting vulnerabilities at the speed of automated systems. Chris Webber, CISO at Darkforce and former White House official, notes that existing frameworks were designed for human-speed interaction. The Darkforce platform shifts this dynamic by implementing cryptographic control at the point of execution, forcing systems to verify authorization before an action occurs—even when credentials appear valid or perimeters are already compromised.
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Darkforce Moves to Secure FedRAMP High Status for AI Defense
Moving to counter threats that operate at machine speed, Darkforce has submitted its cybersecurity and AI safety platform for FedRAMP High designation. By partnering with Knox Systems, the firm aims to deploy quantum-ready protection across federal, defense, and national security environments where traditional detect-and-respond models have faltered.
Founder and CEO David Granzotti argues that in an era of compressed decision-making, intent and cryptography must replace identity as the primary security boundary. The current push for FedRAMP High status through the Knox Systems platform marks a strategic pivot to bring these physics-based protections into government infrastructure. By neutralizing unauthorized AI operations and ransomware before execution, the company seeks to address the gap between legacy security and modern autonomous risks.
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