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OpenAI Says Technical Error Revoked Cybersecurity Researchers’ Access

Several cybersecurity researchers say OpenAI unexpectedly removed their access to a limited program that provides vetted users with fewer restrictions on its AI tools. OpenAI has confirmed that the disruption was caused by a technical error.

On Wednesday, researchers reported on OpenAI’s support forum and X that they had lost access to Trusted Access for Cyber (TAC). Some users saw messages saying their identity could not be verified or that their accounts were currently ineligible.

What Is Trusted Access For Cyber?

TAC is a program through which OpenAI gives vetted cybersecurity researchers access to advanced models with fewer safeguards than those available to regular users. Researchers must submit identification and complete OpenAI’s verification process.

The program is designed to help security professionals identify vulnerabilities, test defenses and report flaws while limiting access for malicious actors. Anthropic operates a similar initiative called the Cyber Verification Program.

OpenAI Says Access Will Be Restored

TechCrunch spoke with five researchers who said they experienced the issue. One researcher received an email saying access to Daybreak Blue, the latest TAC tier, had been revoked because of a technical problem affecting a limited number of users.

OpenAI said affected researchers would need to reapply and complete the verification process. The company also confirmed the issue in a post on X, saying a limited group of users had lost access and would need to re-verify.

All five researchers who spoke with TechCrunch were based outside the U.S. and Europe, although it remains unclear whether geography played a role or how many users were affected.

OpenAI Expands Its Cybersecurity Tiers

Daybreak Blue, introduced on August 10, provides vetted researchers with access to advanced general-purpose models for defensive security work, including vulnerability discovery, code review, malware analysis and incident response.

OpenAI also introduced Daybreak Red, a higher-access tier designed for authorized vulnerability research, exploit validation and security testing.

The access issue comes amid growing debate among cybersecurity researchers over AI safety restrictions. Some defensive and offensive security professionals argue that increasingly strict guardrails can interfere with legitimate security research.

AI Is Everywhere, But Consumers Are Growing More Skeptical

AI is advancing rapidly, but public enthusiasm is moving in the opposite direction. Recent surveys show that more Americans are becoming concerned about the technology, while growing opposition to data centers is turning AI’s social acceptance into a business and political challenge.

A Pew Research study found that 52% of Americans are now “more concerned than excited” about the growing use of AI in daily life, up from 37% in 2021. A May Economist/YouGov poll also found that more than 70% believe AI is developing too quickly.

The political backlash is becoming harder to ignore. Axios reported that the National Republican Senatorial Committee warned major AI companies that data center projects could hurt Republican candidates in a key Ohio election.

AI’s Growing Reputation Problem

Public concern is also showing up among younger Americans. A CNBC poll found that most respondents aged 18 to 34 did not trust nine leading AI executives to act responsibly on AI.

For many consumers, AI is increasingly associated with chatbots, AI-powered search and features appearing inside everyday products, rather than with major improvements to their lives. Google has transformed Search with AI, while companies are adding AI to products ranging from email to televisions.

At the same time, people are hearing about AI being used by students to cheat, while companies face disputes over copyrighted material used to train models and generate art, music, video and writing.

That combination is creating a difficult perception: consumers are being asked to accept the disruption caused by AI without necessarily seeing enough personal benefit in return.

Data Centers Add To The Backlash

The problem extends beyond software. Tech companies are spending enormous sums building AI data centers, but communities are increasingly pushing back over issues including electricity demand, water use and infrastructure.

According to The Wall Street Journal, companies are responding with additional incentives such as employment commitments and investments in local infrastructure. One Louisiana project even included $50,000 bonuses for teachers.

Meanwhile, some consumers are gravitating toward technology that feels deliberately less connected. Young people are showing renewed interest in dumbphones, point-and-shoot cameras, cassette players and CD players. AI-free classic iPods are also attracting attention, while offline hobbies and in-person activities are gaining popularity.

The Industry Is Starting To Take Notice

Some technology executives believe the backlash is partly a communication problem. Others are increasingly acknowledging that consumers may understand AI perfectly well but simply don’t consider its current benefits worth the trade-offs.

Airbnb CEO Brian Chesky recently said on a podcast that the industry needs to build products that ordinary people genuinely value, rather than focusing primarily on AI itself.

Anthropic CEO Dario Amodei similarly described negative perceptions of AI as a “big problem” and a “crisis of trust” in a post on X. In his view, the strongest response would be for AI companies to actually deliver on their biggest promises, including breakthroughs that could significantly improve people’s lives.

For an industry that has attracted hundreds of billions of dollars on the expectation that AI will transform everyday life, technological progress alone may no longer be enough. The bigger challenge could be convincing people that they are actually better off because of it.

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