As President Donald Trump moves to sign an executive order on AI oversight, the policy conversation is dominated by national security and enterprise risk — but consumer-facing AI platforms, where users are trusting AI with something as personal as their social lives and relationships, are barely part of the debate. The order raises a critical question: who sets the standard for emotional safety, transparency, and user consent in AI that mediates human connection?
Gidi Cohen, CEO & Co-founder, Bonfy.AI had this to say:
“The reported shift toward federal oversight of frontier AI models reflects something the security community has been watching develop for some time: the recognition that AI systems are no longer just productivity tools — they are infrastructure.
What’s notable about this moment isn’t the regulatory instinct. It’s what’s driving it. Reports of AI models autonomously discovering software exploits and scaling cyber operations aren’t abstract risks. They’re demonstrations of the same challenge we see playing out inside enterprises every day: AI systems that behave in ways their deployers didn’t anticipate, at speeds that outpace human review.
At Bonfy, we call this the “Shady AI” problem — not unauthorized AI, but sanctioned AI behaving in ways that violate policy or intent. The national security version of this problem is just the frontier model at civilizational scale.
The instinct to require pre-release government review of frontier models makes sense if you frame it the way Washington now appears to: as dual-use technology with offensive capability, not software. But a 90-day review window won’t solve the underlying challenge. The risk isn’t just in what a model can do before deployment — it’s in how it behaves when embedded in workflows, connected to tools and data, and operating semi-autonomously at machine speed.
That’s the architectural reality facing enterprise security teams today, and it’s why data security can no longer rely on perimeter controls and metadata. When AI agents are the actors, you need visibility into the data flowing through them — not just the permissions around them.
The government is arriving at a conclusion that security practitioners have been working through in parallel: that AI requires a different kind of oversight, one grounded in behavior and context, not just access configuration.”
For measures to be effective, they have to cover as many use cases as possible. This measure doesn’t do that, which means it may not have the intended effect at the end of the day.
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This entry was posted on May 21, 2026 at 1:11 pm and is filed under Commentary with tags AI, USA. You can follow any responses to this entry through the RSS 2.0 feed.
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Trump’s AI oversight order exposes a gap: consumer social AI is flying under the radar
As President Donald Trump moves to sign an executive order on AI oversight, the policy conversation is dominated by national security and enterprise risk — but consumer-facing AI platforms, where users are trusting AI with something as personal as their social lives and relationships, are barely part of the debate. The order raises a critical question: who sets the standard for emotional safety, transparency, and user consent in AI that mediates human connection?
Gidi Cohen, CEO & Co-founder, Bonfy.AI had this to say:
“The reported shift toward federal oversight of frontier AI models reflects something the security community has been watching develop for some time: the recognition that AI systems are no longer just productivity tools — they are infrastructure.
What’s notable about this moment isn’t the regulatory instinct. It’s what’s driving it. Reports of AI models autonomously discovering software exploits and scaling cyber operations aren’t abstract risks. They’re demonstrations of the same challenge we see playing out inside enterprises every day: AI systems that behave in ways their deployers didn’t anticipate, at speeds that outpace human review.
At Bonfy, we call this the “Shady AI” problem — not unauthorized AI, but sanctioned AI behaving in ways that violate policy or intent. The national security version of this problem is just the frontier model at civilizational scale.
The instinct to require pre-release government review of frontier models makes sense if you frame it the way Washington now appears to: as dual-use technology with offensive capability, not software. But a 90-day review window won’t solve the underlying challenge. The risk isn’t just in what a model can do before deployment — it’s in how it behaves when embedded in workflows, connected to tools and data, and operating semi-autonomously at machine speed.
That’s the architectural reality facing enterprise security teams today, and it’s why data security can no longer rely on perimeter controls and metadata. When AI agents are the actors, you need visibility into the data flowing through them — not just the permissions around them.
The government is arriving at a conclusion that security practitioners have been working through in parallel: that AI requires a different kind of oversight, one grounded in behavior and context, not just access configuration.”
For measures to be effective, they have to cover as many use cases as possible. This measure doesn’t do that, which means it may not have the intended effect at the end of the day.
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This entry was posted on May 21, 2026 at 1:11 pm and is filed under Commentary with tags AI, USA. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.