OpenAI hires former White House cyber official Thomas Lind to lead cyber and strategic risk

OpenAI has hired Thomas Lind, a former White House cyber official, to lead cyber and strategic risk on its national security policy team.

Lind joined the company the week of October 2, 2026. Until this summer, he was helping shape how the federal government thinks about powerful AI systems like the ones OpenAI builds.

From the West Wing to the model lab

Lind’s most recent government post was at the White House Office of the National Cyber Director, known as ONCD. He served there as head of policy and senior advisor from April 2025 to June 2026.

His focus during that stint was the overlap between AI policy and cybersecurity.

The research behind this report describes Lind as instrumental in crafting a June 2, 2026 executive order on AI safety frameworks. That order set up a voluntary review process for high-capability models.

The practical effect is that the most advanced AI systems now have a formal government review channel. Developers can use it, but they are not required to.

Lind left ONCD in June 2026. His stated reason was a desire to spend more time with family. His departure came alongside other exits from tech policy roles in the wake of the executive order.

During a panel discussion in August 2026, he said AI-driven cyber tools have significantly cut response times for policymakers.

Why OpenAI wants a cyber policy veteran

Lind’s new role puts him inside OpenAI’s national security policy team. His remit covers cyber and strategic risk, two areas where advanced AI raises fresh problems.

Lind brings a specific kind of expertise to that problem. He has worked on cybersecurity frameworks and strategy from the government side, during the period when federal AI safety protocols were taking form.

The timing also matters. OpenAI’s hire lands just a few months after the June executive order created a review path for high-capability models.

What this means for OpenAI and the AI policy landscape

The most direct implication is that OpenAI is investing in its national security credibility. Lind’s experience positions him to connect private sector work on model safety with federal efforts in the same area.

The research behind this report suggests OpenAI may end up influencing broader standards as federal safety protocols mature.

There are a few things worth watching from here. The first is how OpenAI engages with the voluntary review process for high-capability models established in June.

The third is how Lind’s view on shrinking response times shapes OpenAI’s public positions. If AI is compressing the window for cyber decision-making, the company building some of the most capable tools now has an in-house voice who has said so publicly.

Disclosure: This article was edited by Diego Almada Lopez. For more information on how we create and review content, see our Editorial Policy.