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Iran’s Internet Blackout Deepens As Cyber Conflict Escalates

Nationwide Internet Shutdown

Iran has experienced a nationwide internet shutdown lasting more than 48 hours. Internet monitoring group NetBlocks reported that national connectivity dropped to about 1% of normal levels at 2:35 a.m. ET on Monday.

Iranian authorities have previously imposed large-scale internet restrictions, including during periods of domestic unrest. Similar shutdowns have been used to limit communications and reduce the flow of information during politically sensitive moments.

Escalation In Cyber Operations

Reports indicate that the current disruption coincides with intensified cyber activity. A Reuters investigation said alleged U.S. and Israeli cyber operations targeted Iranian government-linked media websites and applications with large public reach, including the BadeSaba Calendar app, which has more than 5 million downloads. According to the report, the app was altered to display messages critical of Iran’s military posture. U.S. Cyber Command did not comment on the allegations.

The incident follows previous cyber intrusions, including a January breach of Iranian state television that briefly broadcast anti-government messages.

Implications For Regional Cyber Conflict

Security analysts say the shutdown may reflect both internal controls and external cyber pressure. Internet researcher Doug Madory suggested that remaining traffic could indicate a selective whitelisting system that preserves connectivity for approved entities.

Adam Meyers, Head of Counter Adversary Operations at CrowdStrike, said early-stage reconnaissance and denial-of-service activity linked to Iranian-aligned groups has already been observed. Such activity can precede broader campaigns targeting sectors including energy, finance, telecommunications, and healthcare.

The situation highlights how cyber operations are increasingly overlapping with geopolitical conflict, creating additional risks for governments and businesses operating in the region.

Copyright Law Struggles To Keep Up With AI Training

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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