Google has announced that with the help of AI, it blocked 1.75 million apps that violated its policies in 2025, significantly down from 2.36 million in 2024. The lower numbers this year, it said, are because its "AI-powered, multi-layer protections" are deterring bad actors from even trying to publish bad apps.
Google said it now runs more than 10,000 safety checks on every app and continues to recheck them after they're published. Its use of the latest generative AI models helps human reviewers discover malicious patterns more quickly, it added. The company also blocked 160 million spam ratings, preventing an average 0.5-star rating drop for apps targeted by review bombing. Finally, Google stopped 255,000 apps from gaining excessive access to sensitive user data in 2025, down from 1.3 million the year before.
Meanwhile, Google Play Protect, the company's Android defense system, sniffed out over 27 million new malicious apps, either warning users or preventing them from running. The company added that Play Protect's enhanced fraud protection now covers 2.8 billion Android devices in 185 markets and blocked 266 million risky "side-loading" installation attempts.
"Initiatives like developer verification, mandatory pre-review checks, and testing requirements have raised the bar for the Google Play ecosystem, significantly reducing the paths for bad actors to enter," the company said its blog. "This year, we'll continue to invest in AI-driven defenses to stay ahead of emerging threats and equip Android developers with the tools they need to build apps safely."
Google has steadfastly justified its relatively high fees on app purchases and subscriptions by touting its investments in app safety. However, its Play store has been under pressure from regulators in Europe a
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A recent Amazon Web Services (AWS) outage that lasted 13 hours was reportedly caused by one of its own AI tools, according to reporting by Financial Times. This happened in December after engineers deployed the Kiro AI coding tool to make certain changes, say four people familiar with the matter.
Kiro is an agentic tool, meaning it can take autonomous actions on behalf of users. In this case, the bot reportedly determined that it needed to "delete and recreate the environment." This is what allegedly led to the lengthy outage that primarily impacted China.
Amazon says it was merely a "coincidence that AI tools were involved" and that "the same issue could occur with any developer tool or manual action." The company blamed the outage on "user error, not AI error." It said that by default the Kiro tool "requests authorization before taking any action" but that the staffer involved in the December incident had "broader permissions than expected — a user access control issue, not an AI autonomy issue."
Multiple Amazon employees spoke to Financial Times and noted that this was "at least" the second occasion in recent months in which the company's AI tools were at the center of a service disruption. "The outages were small but entirely foreseeable," said one senior AWS employee.
Instead of jumping straight to code, the IDE pushed them to start with specs. ?? Clear requirements. ?? Acceptance criteria. ?? Traceable tasks.
Their takeaway: Think first. Code later.
Get the full breakdown here ??… pic.twitter.com/eD7ZrEdEn5
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