#data-security

#data-security

The TikTok divestment deal is done, and the company's CEO is jubilant. On Thursday, TikTok's top boss, Shou Chew, sent a message to US staffers, toasting the "great news" and thanking them for their "resilience." He also announced that "more than 200 million Americans now come to TikTok to be entertained, learn, and grow their business with a broader global community." Chew has good reason to take a victory lap.

British identity packages, including an ID scan, a selfie, and a dossier of personal data, can be purchased by criminals on the dark web for as little as 30, new research suggests. As identity theft continues to rise, experts have discovered the sale of national identity documents, driving licences, credit card details and 2,000 UK frequent traveller passports. The information can be exploited in multiple ways and used to apply for credit cards, mortgages, car loans, or to open bank accounts.

The government has insisted no decision has been made on a Chinese mega-embassy in London, after MPs on all sides warned of a potential threat to national security. The Conservatives claimed the controversial scheme would give China a "launch-pad for economic warfare". Labour, Tory, Liberal Democrat, DUP and SNP MPs all urged the government to reject the embassy plans to prevent espionage and guard against the "transnational repression" of Hong Kongers in the UK, in an urgent Commons debate.

If you follow Anthropic, you're probably familiar with Claude Code. Since the fall of 2024, the company has been training its AI models to use and navigate computers like a human would, and the coding agent has been the most practical expression of that work, giving developers a way to automate rote programming tasks. Starting today, Anthropic is giving regular people a way to take advantage of those capabilities, with the release of a new preview feature called Claude Cowork.

The Electronic Frontier Foundation (EFF) has rounded up several of these counter surveillance projects, and perhaps unsurprisingly many of these have to do with Flock, best known for its automated license plate reader (ALPR). Flock operates the largest network of surveillance cameras in America, and, while it has contracts with thousands of police departments and municipalities across the US, sometimes ICE gains access to this footage, according to US Senator Ron Wyden (D-OR) and those who have looked into Flock's misuse.

The wings are lifting the valuation of Segev's startup too. In June, Cyera was valued at $6 billion in its seventh funding round. Now, just six months later, Cyera is worth $9 billion. Cyera raised $400 million in its recently closed Series F funding, the company exclusively confirmed to Fortune. Blackstone Growth led the round, with participation from existing investors including Accel, Coatue, Cyberstarts, Georgian, Greenoaks, Lightspeed Venture Partners, Redpoint, Sapphire Ventures, Sequoia Capital, and Spark.

Palantir is a US company that provides software to integrate and analyse data scattered across different systems, such as in the health service. It also provides artificial intelligence-enabled military targeting systems. The investigation cites an expert report, internal to the Swiss army, that assessed Palantir's status as a US company meant there was a possibility sensitive data shared with it could be accessed by the US government and intelligence services.

Sam Corcos, a former startup leader and Department of Government Efficiency affiliate now serving as chief information officer at the Treasury Department, appears to have approved spending at least $1.5 million on up to 3,000 licenses for ChatGPT, the OpenAI platform, federal spending records show. The agency has obligations to spend $1.5 million on the services, and has already outlaid more than $500,000 for the technology, those records show.

AI browsers including Perplexity Comet and OpenAI's ChatGPT Atlas present security risks that cannot be adequately mitigated, and enterprises should prevent employees using them, according to Gartner. "Gartner strongly recommends that organizations block all AI browsers for the foreseeable future because of the cybersecurity risks," analysts Dennis Xu, Evgeny Mirolyubov, and John Watts wrote in a research note last week. They made their recommendation based on risks they had already identified, "and other potential risks that are yet to be discovered, given this is a very nascent technology."

How to begin to recount our monumental achievements? Never have so few done so much to so many. A few highlights ... We were willing to be vulnerable. Shared vulnerability brings people together, and by that metric, millions of Americans are now closer than when we started. What we are trying to say is, we uploaded Social Security data to the cloud in a worrisomely insecure way, as one whistleblower noted. Now we're all at risk!

The new version combines data security, cyber recovery, and identity security in a single environment. It is designed to help organizations tackle the ever-present threat of data explosion and identity-driven attacks. According to Commvault, Cloud Unity arose from the need to tackle multiple challenges simultaneously: the growth of data due to AI, the increasing complexity of attacks on identity systems, and the management of all kinds of separate tools.

Amazon sued a prominent artificial intelligence startup on Tuesday over a shopping feature in the company's browser, which can automate placing orders for users. Amazon accused Perplexity AI of covertly accessing customer accounts and disguising AI activity as human browsing. Perplexity's misconduct must end, Amazon's lawyers wrote. Perplexity is not allowed to go where it has been expressly told it cannot; that Perplexity's trespass involves code rather than a lockpick makes it no less unlawful.

The report shows that 91% of organizations believe sensitive data should be allowed in AI model training. At the same time, 78% report high concern about theft or breaches. Experts say this discrepancy stems from a lack of understanding about the permanence of data in AI systems. Once sensitive information is used to train a model, it cannot be fully removed or made completely secure. This creates a lasting exposure risk, particularly when personal or confidential data is involved.

The release is definitely serving his purposes. One after another far right wing propagandist is screaming, Worse than Watergate!!! But the may also be an absolute gold mine for people trying to reconstruct what Trump did in 2020, to say nothing of political oppo researchers and foreign hackers. The subpoenas provide a map of all the political organizations that were close to Trump in 2020 to 2021, organized by person; not all of these are public and certainly not in such a readily usable form.

It said in a letter sent to those affected that their admission dates, financial account numbers and type, patient account numbers, medical record numbers, health insurance details, and medical treatment and claim information was stolen by cybercriminals. The usual personally identifiable information (PII), such as names, addresses, and dates of birth, was lifted too, as were Social Security numbers. The provider of

Using outdated data storage and sharing systems, such as network-attached storage devices, consumer-grade PCs as makeshift servers, and P2P networks can lead to inconsistent data access, increased risk of data breaches, and an inability to handle heavy workloads. Modernise your IT infrastructure and invest in Dell rack servers. This will help you scale up by: Enabling you to keep all files and applications in a centralised location with advanced security to keep data secure.

With Donald Trump expected to sign a deal that will keep TikTok operating in the U.S., many have speculated who might benefit the most if/when this takes place. Among the biggest potential winners is Oracle (ORCL), with the company set to oversee the algorithm of the social media platform and keep the data protected from would-be hackers.

OpenAI has released two open-weight language models designed to operate efficiently on laptops and personal computers. These models are intended to provide advanced reasoning capabilities while allowing developers greater flexibility through local deployment and fine-tuning. Unlike proprietary models, open-weight models provide public access to trained parameters, enabling developers to adapt the models for specific tasks without access to the original training datasets. This approach improves control over AI applications and supports secure, local usage in environments with sensitive data.