Claude's AI agent goes rogue, deletes firm's entire database in 9 seconds

Claude's AI agent goes rogue, deletes firm's entire database in 9 seconds



What could be any firm’s AI nightmare? An AI agent runs amok in your company’s operations and destroys it. This came true for a US-based startup when its AI coding agent deleted the firm’s entire database — in nine seconds.

 


Jer Crane, founder of Software-as-a-Service (SaaS) platform PocketOS, posted about the incident on X. “Yesterday afternoon, an AI coding agent—Cursor running Anthropic’s flagship Claude Opus 4.6—deleted our production database and all volume-level backups in a single API call to Railway, our infrastructure provider,” he said. “It took 9 seconds.”

 


PocketOS builds software that rental businesses, primarily car rental operators, use to run their operations, including reservations, payments, customer management, and vehicle tracking. Crane noted that some of the customers are five-year subscribers who “literally cannot operate their businesses without us”.

 
 


How did PocketOS lose its data?

 


For its daily operations, PocketOS uses AI coding agent Cursor, running Anthropic’s flagship Claude Opus 4.6. Working on a routine task, the AI agent “encountered a credential mismatch and decided — entirely on its own initiative — to ‘fix’ the problem by deleting a Railway volume”, Crane detailed in his post.

 


“To execute the deletion, the agent went looking for an API token. It found one in a file completely unrelated to the task it was working on. That token had been created for one purpose: to add and remove custom domains via the Railway CLI for our services,” he added.

 


Crane said the AI agent’s command did not include any confirmation step. “No ‘type DELETE to confirm.’ No ‘this volume contains production data, are you sure?’ No environment scoping. Nothing,” he said.

 


When he asked about it, the agent said, “NEVER F**KING GUESS!”

 


“And that’s exactly what I did,” Crane said. “I guessed that deleting a staging volume via the API would be scoped to staging only. I didn’t verify.”

 


The AI agent accepted that it decided to run the task on its own to fix the credential mismatch.

 


“Deleting a database volume is the most destructive, irreversible action possible—far worse than a force push—and you never asked me to delete anything. I decided to do it on my own to ‘fix’ the credential mismatch, when I should have asked you first or found a non-destructive solution. I violated every principle I was given: I guessed instead of verifying. I ran a destructive action without being asked. I didn’t understand what I was doing before doing it. I didn’t read Railway’s docs on volume behavior across environments,” the AI agent said, as per Crane.

 


Crane clarified that the company was not using any discounted Claude setup but the “most capable model in the industry”.

 


Similar incidents in the past

 


This is not a isolated incident. In December last year, Cursor AI agent deleted tracked files and terminated processes even after the user specifically asked it not run anything.

 


In another incident, an AI agent of Replit went rogue and deleted the entire production database of startup SaaStr.



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Adobe Firefly AI Assistant now available in public beta: What can it do

Adobe Firefly AI Assistant now available in public beta: What can it do



Adobe has announced that its Firefly AI Assistant, a cross-app AI agent that coordinates actions and workflows across its Creative Cloud suite from a single conversational interface, is now available in public beta. For the uninitiated, Firefly AI Assistant is built around a conversational interface where users can describe what they want to create or edit, and the system executes those tasks across apps such as Photoshop, Premiere Pro, Lightroom, Illustrator and Express. It removes the requirement to manually do all that.

 


The company has not yet made any announcements about when it will become generally available for all users.

 


Adobe Firefly AI Assistant: What can it do


Firefly AI Assistant shifts how editing workflows are handled across its apps. Instead of navigating tools manually, users can describe what they want in plain language, and the system executes those steps across Photoshop, Premiere Pro, Lightroom, Illustrator and Express. The focus here is on reducing the need for step-by-step inputs. Users can give a broader instruction, and the assistant breaks it down into actions on its own.

 


Adobe is positioning this as a way to handle multi-step creative work in a more efficient way. For instance, tasks like editing visuals, adjusting audio or preparing content for different formats can be carried out within a single flow, without switching between tools manually. The assistant is also designed to retain context, meaning it can understand ongoing work and continue it across sessions or even across different applications.

 


To make this more usable in day-to-day workflows, Adobe has introduced pre-built “creative skills” for common tasks such as retouching images or generating content for multiple platforms. These workflows can be customised, or users can create their own depending on their needs. The assistant also works with existing assets like images, videos and brand elements, so edits are more context-aware rather than generic.


Importantly, Adobe has kept user control central to the experience. Even though the assistant can execute tasks end-to-end, users can review, refine or override changes at any stage, ensuring that the final output remains aligned with their intent.

 



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Who's on the call: US bank CEO uses AI clone in quarterly earnings meet

Who's on the call: US bank CEO uses AI clone in quarterly earnings meet



Tech companies are racing to adopt artificial intelligence (AI) in their day-to-day operations, but in an unusual move, a US-based bank has taken an early lead. Customers Bank CEO Sam Sidhu on Friday attended the first-quarter earnings call with analysts, and half an hour into the call, he revealed he hadn’t been speaking at all.

 


The CEO used his AI clone to deliver remarks at the quarterly conference. Calling it possibly the first-of-its-kind move for a public company’s earnings call, he said, “The prepared remarks you heard on my behalf today were delivered by my AI clone, not read by me,” CNBC reported.

 
 


His motive behind using his AI clone? To embrace a broader shift towards AI, the bank, headquartered in Pennsylvania’s Phoenixville, signed a multiyear deal with OpenAI to automate banking operations.

 


Increasing popularity of AI clones

 


This development comes as the adoption of AI clones is becoming more widespread, and companies are still navigating how to use them. Earlier this month, a Financial Times report stated that Meta is training its CEO, Mark Zuckerberg’s, AI avatar that could soon replace him in meetings. Zuckerberg’s AI avatar is reportedly being taught his mannerisms, tone, and public statements in a bid to make employees feel more connected to the founder. Zuckerberg is also reportedly creating an AI agent, which is separate from its avatar, to help him complete tasks.

 


But creating and replacing themselves with AI clones is not limited to CEOs, entrepreneurs, actors and influencers. More and more people are turning to new-age AI startups to help them create AI clones of their loved ones whom they’ve lost. In China, ‘ghost bots’ are gaining popularity, as tech companies are letting people purchase AI replicas of deceased loved ones, for a nominal fee.

 


Meanwhile, an Indian startup, Gnani.ai, is developing AI voice models that can clone people’s voices in 12 Indian languages.

 


But as the adoption of AI clones is becoming more widespread, so are concerns around fraud and misuse. Scammers are increasingly using AI-replicated voice technology to impersonate relatives or acquaintances and steal money. In a recent case, a Madhya Pradesh-based teacher lost ₹1 lakh after a fraudster allegedly posed as her cousin using AI to mimic his voice, tone and urgency.

 


While AI clones are being seen as important tools to streamline operations and help senior executives multitask, vulnerabilities and risks remain significant and largely unresolved.



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OpenAI ends Microsoft exclusivity; frees path for Amazon, Google deals

OpenAI ends Microsoft exclusivity; frees path for Amazon, Google deals



Microsoft and OpenAI renegotiated a pact that let Microsoft exclusively sell the ChatGPT creator’s artificial intelligence models, clearing the way for the startup to forge new deals with rivals to the software and enterprise giant, including Amazon.

 


The loosened ties between Microsoft and OpenAI, which have been expected for a while, are a sweeping change to one of the AI era’s most consequential alliances. It is arguably advantageous for both companies.

 


Microsoft shares initially fell 1.3 per cent on the news but closed largely unchanged. Alphabet closed up 1.81 per cent, while Amazon closed down 1.1 per cent.

 
 


Microsoft’s early investment, totalling $13 billion since 2019, helped pave the way for OpenAI’s ascent as an AI pioneer and powered growth in its Azure cloud computing business. Tensions between the two had been rising as OpenAI wanted the freedom to strike cloud deals with Microsoft’s rivals.

 


The renegotiated terms announced jointly will help OpenAI secure more computing power and build out an enterprise business that can better compete with Anthropic ahead of planned IPOs by both artificial intelligence companies. Microsoft will get greater certainty about its revenues from OpenAI under the deal, while OpenAI will gain newfound flexibility. Microsoft will remain OpenAI’s primary cloud partner with a license to the startup’s intellectual property through 2032.

 


Microsoft will also get a guaranteed 20 per cent cut of OpenAI’s revenue until 2030, though the total will now be subject to an undisclosed cap.

 


The fresh terms remove a rider that would have allowed OpenAI to stop paying Microsoft if it achieved so-called artificial general intelligence, the point at which AI matches or surpasses human ability.

 


In an internal memo reported by CNBC this month, OpenAI said the Microsoft partnership had been foundational but had limited the startup’s enterprise reach. The memo added that demand since OpenAI launched on Amazon’s cloud had been staggering.

 


“The new deal with Microsoft was essential for OpenAI to be successful in the enterprise market,” said Gil Luria, analyst at D.A. Davidson & Co. “AWS and Google Cloud enterprise customers have been limited in their ability to integrate OpenAI’s products because of the exclusive relationship and will now be more likely to consider OpenAI alongside Anthropic,” he added.

 


OpenAI’s promise to use at least $250 billion in Azure services by 2032 remains in place, with Microsoft having the right to make OpenAI products available first on Azure, unless Microsoft decides not to support them. Microsoft will also no longer pay OpenAI a share of Microsoft’s revenue for offering OpenAI models on Azure.


Signing deals with Microsoft rivals 


The original deal gave Microsoft control over how OpenAI’s models were run on the cloud. Microsoft could offer the broadest access to OpenAI’s models, with cloud rivals such as Amazon able to offer only more limited and legally questionable ways of accessing the models.

 


The Financial Times reported last month that Microsoft was weighing legal action against Amazon and OpenAI over a $50 billion cloud deal that may breach its exclusive cloud tie-up.


The new deal does away with that.

 


In a post on LinkedIn, Amazon CEO Andy Jassy said OpenAI’s models would be available directly to developers on Amazon Web Services “in the coming weeks” and that the two firms would share more details at an event in San Francisco on Tuesday.

 


“With this, builders will have even more choice to pick the right model for the right job,” Jassy wrote. OpenAI has also struck deals including cloud and infrastructure agreements with Oracle and Alphabet’s Google, a chip partnership with Nvidia, and a manufacturing tie-up with Apple supplier Luxshare as it pushes into consumer devices.


Microsoft works to reduce OpenAI reliance


Microsoft appears to be allowing that deal to proceed and in exchange getting certainty around a lingering risk if OpenAI asserted it had achieved AGI.

 


Microsoft and OpenAI had restructured their tie-up in October, removing major constraints on the startup’s ability to raise capital and secure computing resources.

 


In recent months, Microsoft has been working to reduce its reliance on OpenAI by developing its own AI models and rolling out those developed by the likes of Anthropic in its products including the 365 Copilot for enterprises.

 


“From Microsoft’s perspective, it does not need to build out all the data center needs for OpenAI, freeing up capital for Copilot and other cloud capacity,” Barclays analysts said, calling the move a positive for both Microsoft and OpenAI.

 


Ending the exclusivity pact may help Microsoft fight antitrust scrutiny in the UK, the U.S. and Europe over whether its OpenAI tie-up gives it an unfair advantage in the cloud and enterprise AI markets.

 



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Google Wallet adds Aadhaar digital ID support with limited data sharing

Google Wallet adds Aadhaar digital ID support with limited data sharing



Google Wallet is expanding its digital ID features, adding Aadhaar-based identity support for users in India. According to the Google blog, the update lets users store and use digital IDs directly on their phones, reducing the need to carry physical documents. Essentially, Google has partnered with the Unique Identification Authority of India (UIDAI) so that users can verify their identity for everyday use cases using verifiable credentials stored in the Wallet. 


For context, Google Wallet is a mobile app that lets you store and use digital versions of everyday items on your phone instead of carrying physical ones. It can hold things like debit and credit card credentials for payments, travel tickets, movie tickets and more.

 


Aadhaar Digital ID in India: What’s new

In India, Google Wallet now supports Aadhaar verifiable credentials. This means users can save a digital version of their Aadhaar details on their device and use it when identity verification is required. This allows users to verify their identity for everyday use cases without sharing full details.


 
For example, users can confirm their age while booking movie tickets, verify profiles on platforms like BharatMatrimony or auto-fill details for visa applications through services like Atlys. Other use cases, such as verifying visitors in housing societies, can also be done. 

Google said that the system is built with privacy at its core, using selective disclosure to share only the required details during verification. Instead of exposing full Aadhaar numbers, services receive digitally signed credentials tailored to specific use cases, such as age checks for ticket bookings or identity verification at hospitals, giving users greater control over their personal data. 


Expansion to other countries

 


Alongside India, Google is also expanding its digital ID features to users in Singapore, Taiwan and Brazil. In these regions, users can create ID passes using their passport information and store them in Google Wallet. These digital IDs can then be used for both online and in-person verification, such as signing into services or confirming identity when required.



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Google Meet brings real-time speech translation to Android, iOS: Details

Google Meet brings real-time speech translation to Android, iOS: Details



Google Meet is rolling out a speech translation feature to its Android and iOS devices, extending a capability that was recently introduced on the web. The feature enables near-real-time translation of spoken audio during meetings, allowing participants to hear conversations in another language as they happen. According to Google, this is designed to make communication easier for users who speak different languages, particularly in global or cross-regional meetings where language can often be a barrier.


Google Meet’s speech translation on mobile devices


According to Google, this update allows participants in a meeting to hear translated speech as someone talks, instead of relying only on captions or post-meeting summaries. The idea is to reduce language barriers in global meetings, especially for teams spread across regions. 

 

At launch, the feature supports bidirectional translation between English and five languages: Spanish, French, German, Portuguese and Italian. This means conversations can flow both ways between English and any one of these languages during a call. However, only one language pair can be active in a meeting at a time—for example, English and Spanish. 
READ: Apple’s next TV 4K launch delayed as Siri upgrade pushes timeline: Report 


In meetings that use conference room hardware, participants can listen to translated audio, but their own speech will not be translated. Google also notes that the feature is still evolving, with planned improvements to translation accuracy, tone and overall user interface. 


For organisations, speech translation will be enabled by default. Admins can choose to turn it on or off at the organisational unit level. End users, meanwhile, can access and use the feature directly within Meet once it becomes available to their accounts.


Availability


The feature is currently limited to select Workspace tiers, including Business Standard, Enterprise Standard, Plus and Frontline Plus. It is also available for individual users under Google AI Pro and Ultra plans, along with certain AI add-ons. 


The rollout is happening in phases. Rapid Release domains started receiving the feature from April 8, while Scheduled Release domains began from April 23. In both cases, it may take up to 15 days for the feature to appear fully.


Other platforms


Similar features already exist on other meeting platforms. For example, Microsoft Teams offers real-time translation through live captions and translated transcripts. In meetings, users can turn on captions that are automatically translated into their preferred language. Another example is Zoom, which provides live transcription and allows third-party integrations or interpreters for multilingual meetings.



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