On April 2, it was reported on the Blind forum (a forum for technology professionals) that a software engineer user claiming to be a former Google employee revealed that an employee at Google's Sunnyvale office committed suicide by jumping off the MP6 building.

He claimed that the Google employee jumped off the MP6 building, which was a tragic suicide that took place in Sunnyvale. "Friends, stay away from the MP6 team. I am one of them. They are under extreme pressure, and there is office politics and intrigue. After recent recruitment, Google's cloud security culture has become terrible."

It is reported that the Google MP6 team is responsible for security cloud work.

Google has always been renowned globally for its secure and reliable cloud data storage and management solutions.

Since 2011, Google Cloud has been committed to integrating AI into Google Cloud's cybersecurity products and innovations to help protect both Google Cloud itself and its users.

In April last year alone, Google launched a generative AI-based cybersecurity suite called Cloud Security AI Workbench. This suite is the industry's first scalable platform, powered by a dedicated security large language model (LLM) called Sec-PaLM 2.

Notably, management consulting firm Accenture has become the first partner to use Security AI Workbench.

In addition, Broadcom, Crowdstrike, Egnyte, Exabeam, F5, Fortinet, Netskope, Securiti, SentinelOne, Sysdig, Tenable, and Thales have all pledged to collaborate with Google Cloud to enhance their AI security capabilities.

Apart from partners, Google Cloud has also announced several updates, such as Chronicle TDIR, Security Command Center attack path simulation, cryptomining protection program, secure web proxy, and more.

As early as 2020, Google introduced a new cloud technology aimed at customers with particularly high security requirements. According to the company, the confidential computing environment encrypts data anywhere outside of RAM or the CPU.

In the same year, Google Cloud announced 11 new G Suite security features.

So, is it really true, as the former Google software engineer claimed, that there is a lot of pressure on Google Cloud?

If you combine the two keywords "#Google" and "#employee suicide," it's not difficult to find many social events.

For example, shortly after the beginning of the year, there was the "Tsinghua couple committed suicide due to Google layoffs" incident.

A few days later, there were rumors that another Google employee may have committed suicide. The tech giant, once seen as a place for a comfortable retirement, has now truly become a "sweatshop"?

In just a few months last year, two suicides occurred at Google. One was a 31-year-old senior software engineer who jumped from the 14th floor of the New York headquarters; the other was a Google partner executive.

Unsuspecting onlookers will instinctively associate it with layoffs.

According to disclosures from Google's parent company, Alphabet, for the full year 2023, Alphabet's consolidated revenue was $307.39 billion, representing a year-on-year increase of 9%; net income was $73.8 billion.

Among them, Google Cloud's revenue was $9.19 billion, with a net profit of $864 million, finally turning a profit.

What about the number of employees? As of December 31, 2023, the company had a total of 182,502 employees, 7,732 fewer than at the end of 2022, with severance pay and related expenses for the year totaling nearly $2.1 billion (currently equivalent to approximately 15.08 billion yuan).

As everyone knows, Google has officially announced its plan to lay off 12,000 employees.

In 2024, Google layoffs continue...

Currently, due to the employee jumping incident, Google has once again been caught up in a public opinion storm. Has Google really become a "bloodsucker"?

As everyone knows, in the global cloud vendor rankings, Google has always been behind Microsoft and Amazon Web Services.

But even if Google wants to achieve success by riding the wave of AI, it still needs to "look down" and pay more attention to its employees, after all, AI cannot replace "everything".