Amazon is closing its San Francisco AGI site as part of the layoffs it made this week in its artificial general intelligence organization, but said its frontier model research lab will continue.
A company spokesperson confirmed the news of the site closure, which was first reported by The Information. Amazon’s frontier model research work will carry on under Pieter Abbeel, a UC Berkeley professor who joined Amazon in 2024 when the company licensed the technology and hired the team from Covariant, the robotics startup he co-founded.
The AGI Lab was founded in December 2024 and initially built around several dozen employees Amazon brought in from the startup Adept, including its co-founder and CEO David Luan.
The team grew to about 80 people at its peak, according to The Information, but more than a dozen of the Adept hires have since left, Luan among them. Earlier this week, Amazon confirmed it was cutting an unspecified number of jobs across the broader AGI organization.
Impacted employees will have the chance to explore other roles at Amazon, the spokesperson said, and the company is supporting them through that process.
Nova Act, the browser-agent model and service that came out of the group, remains available on AWS and in use by customers. More broadly, AWS has continued to build out its agentic AI lineup, including Bedrock AgentCore and applications like Kiro, Quick, Continuum and Transform.
The moves come as Amazon invests heavily in helping customers deploy AI, including a $1 billion AWS effort to embed engineers with businesses building AI agents. The initiative reflects an expanded industry focus toward putting agents and models to better use for customers.
Hayete Gallot, now executive vice president of Microsoft Security, speaks at a Microsoft event in France in 2024. (Microsoft Photo)
GeekWire is profiling over the next few weeks some of the people and teams that are shaping the evolution of Microsoft in what we’re calling its “Microsoft 2.5” era.
AI has had an impact on just about every tech-product category, but especially security. Attackers are using AI; customers are looking to defend with AI. The goalposts keep shifting. “Agentic security” is now the holy grail, and Hayete Gallot, the newly minted executive vice president of Microsoft Security, is leading the charge toward it.
Gallot, a 16-plus-year Microsoft veteran who rejoined the company in February after a 1.5-year Google detour, replaced Charlie Bell, who came to Microsoft from AWS in 2021 and continues at the company as an individual contributor focused on engineering quality.
“Customers care about two things: solving for security and being able to afford it,” Gallot said when I asked during our interview this week why she came back to Microsoft.
“I am a problem solver. And an engineer at heart (and by training). Security is the most important problem right now — and Microsoft is the only place with all of the puzzle pieces to help our customers.”
Since her return, Gallot hasn’t been shy about shaking things up. As noted recently by The Information, at least nine corporate vice presidents who previously reported to Bell have left the company this year.
“We’re making changes to ensure we’re in the best formation to go after this opportunity,” she acknowledged.
“I’m motivated by doing the right thing for our customers, my teams, and tech outcomes,” she said. “I like to move quickly: days and weeks, not months and years, learning through execution, iterating rapidly, and adjusting based on real customer signals.”
The company isn’t starting from scratch. As of 2021, Microsoft claimed security was a $10 billion business for the company. By 2023, security had reached a $20 billion annual revenue rate, officials said.
Those claims haven’t been without controversy. Microsoft has built a huge business in finding and fixing security problems which some customers felt were of the company’s own making.
Microsoft has a wide-ranging and rather unwieldy security portfolio, encompassing identity management (Entra), endpoint protection (Defender), endpoint management (Intune), security information and event management (Sentinel), and compliance (Purview), among others.
In 2023, Microsoft introduced its Security Copilot set of AI analysis services that integrated with some of its existing security offerings. But a portal-based solution like Security Copilot doesn’t offer the kind of end-to-end coverage that an agentic security platform can, Gallot said.
The problem is that attackers are using agents, too. Customers need real-time insight into what’s happening in their environment, and the ability to act just as quickly, Gallot said.
Agentic security is about “taking the signals and turning them into a graph that is useful,” Gallot said. “If you’re trying to reason about 100 trillion signals, it’s not really effective.” The graph, she said, lets agents pick the right model for each threat and close the loop.
In practice, that means the system can quarantine a device or revoke access on its own, for example, rather than waiting for a human.
Microsoft’s core existing security products will continue to play a role as the landscape evolves, both spotting the problems and acting on them. Security Copilot isn’t going away in the process: “You’ll have Copilot and you’ll have agentic security,” she said.
The company’s new Agent 365 “control plane” — a central console for tracking every AI agent a company runs — fits in by letting customers see the “blast radius” of an agent, meaning everything a hijacked agent could reach, Gallot said. It’s similar in concept to Zero Trust, the “never trust, always verify” security model that limited how far an attacker could get with a stolen employee login, but applied now to agents rather than people.
Traditional AI security and agentic AI security are fundamentally different, Microsoft says. Agentic security doesn’t just protect models and training data; it also can protect tools, workflows, memory, connected systems and more. Because agents can take action, the potential positive and negative stakes are higher.
While AI has helped businesses make strides in finding and fixing vulnerabilities, it hasn’t gone much beyond that. Microsoft introduced its multi-model agentic scanning harness (MDASH) as its first step into the agentic security space, Gallot said.
The company used MDASH internally to boost finding and fixing Windows security issues, and it is now making it available to select customers in an expanded preview. MDASH will allow customers to use the best model for the right task to secure all different types of code bases, she said.
Microsoft is rumored to be readying a more comprehensive agentic security offering, of which MDASH is likely just one piece.
Microsoft is far from the only one doing this. AWS, Anthropic, and OpenAI are offering security tools on their platforms, and dedicated security vendors are building their own agentic platforms.
Microsoft has the advantage of scale in the enterprise. The question is whether Gallot and her new leadership team can turn that scale and emerging AI tools into both a bigger business for the company and better protection for its customers.
Hugging Face says an autonomous AI agent carried out a cyberattack against its production systems, highlighting the growing role of AI in offensive and defensive cybersecurity.
Scenes from this week’s founder open house on the deck at GeekWire HQ in Seattle, where we also recorded this week’s podcast. Thanks to Delta Air Lines, Prime Team Partners, WTIA and ALLtech for sponsoring the event. (Photos by Kurt Schlosser and John Cook)
On this week’s show, we’re on the GeekWire deck for our annual founder open house, where we dig into Microsoft’s latest round of layoffs — including a major Xbox shakeup — and the surprising rise of hardware companies on the GeekWire 200.
Then we sit down with four guests to talk about how AI is reshaping how they build:
Jana Schuster of StackIQ, whose AI-native platform helps companies find redundancy in their software spending — like Rocket Money, but for business — with a small team.
Boaz Ashkenazy of Shift AI, who’s setting up always-on agents and rethinking how we interact with AI tools.
Finally, this week’s GeekWire Trivia Challenge: how a longtime T-Mobile executive got his start in the wireless business, and the star-studded history of T-Mobile celebrity endorsers.
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