WikiLeaks Prompts Stronger Safeguards for Classified Info
Inevitably and predictably, the U.S. Government has moved to systematically increase the monitoring of classified computer networks and to tighten the safeguarding of classified information in response to the indiscriminate publication of classified records by WikiLeaks.
An executive order issued on October 7 does not define the new security policies. Instead, it establishes new mechanisms for monitoring, developing and implementing information system security policies, including a newly established Insider Threat Task Force.
In a gesture directed at whistleblowers, the new executive order states (sect. 7e) that “the entities created and the activities directed by this order shall not seek to deter, detect, or mitigate disclosures of information by Government employees or contractors that are lawful under and protected by” whistleblower protection statutes.
But while the systematic tracking of online behavior may not deliberately “seek” to deter or detect whistleblowers, it’s hard to see how it could fail to produce such effects.
After months of delay, the council tasked by President Trump to review the FEMA released its final report. Our disaster policy nerds have thoughts.
FAS and FLI partnered to build a series of convenings and reports across the intersections of artificial intelligence (AI) with biosecurity, cybersecurity, nuclear command and control, military integration, and frontier AI governance. This project brought together leaders across these areas and created a space that was rigorous, transpartisan, and solutions-oriented to approach how we should think about how AI is rapidly changing global risks.
Investment should instead be directed at sectors where American technology and innovation exist but the infrastructure to commercialize them domestically does not—and where the national security case is clear.
AI is already consequential, but its future trajectory remains contested. Policymakers should make their assumptions explicit, focus on what can be shaped rather than what can be perfectly predicted, and build institutions that can learn and respond as evidence changes.