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- Source:MarkTechPost
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Oct 24
gihyo.jp
AI accelerates cyberattacks; Anthropic, OpenAI, Microsoft and others disclose defense and agent control developments
gihyo.jp reviews multiple releases and reports from late October, organizing AI-era defense challenges along two lines: vulnerability remediation implementation and permission management. Anthropic Deputy CISO Jason D. Clinton says that within about 18 months, high cyber capability will spread to small, cheap models, but fixes still need to be applied to running systems. The article cites OpenAI's discovery of Brotli's CVE-2026-111497 during testing in an isolated environment, and introduces remediation and credential control solutions such as AWS Continuum, Google Agent Compute Engine, and 1Password for Agents, as well as Microsoft's report on Storm-0940 using AI to automate attacks.
Oct 23
SiliconANGLE
AI investment is polarizing: a financing boom coexists with concerns over data center spending
AI investment is showing polarization: companies such as OpenAI, DeepSeek, Legora, and Otter.ai continued to secure large funding this week, with OpenAI nearing completion of a $30 billion bridge financing and DeepSeek reportedly raising $15 billion; however, Meta plans to issue additional shares to expand data centers, raising concerns about excessive spending, and AI stocks such as SpaceX and CoreWeave fell sharply on Thursday. Next week, earnings reports from Amazon, Alphabet, Microsoft, and Intel, as well as Anthropic's IPO, will further test market sentiment.
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Google launches ACE Agent Compute Engine, providing an independent microVM for each AI agent
Google has released the Agent Compute Engine (ACE), which provides each AI agent with a hardware-isolated microVM capable of executing code, calling tools, and controlling a browser. When an agent is idle, its compute environment is automatically suspended and resources are released; when needed, file and memory state are quickly restored. In a test with 200,000 agents, pausing and resuming took less than 500 milliseconds. The service was initially used to support Gemini, the Gemini platform, Antigravity, and Google's internal model evaluation and reinforcement learning workflows. In the future, developers will be able to control agent environment images, identities, network access, and lifecycles themselves through Google Cloud.
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MarkTechPost
Google Cloud launches Agent Compute Engine, allocating a dedicated microVM to each AI agent
At AGNTCon + MCPCon, Google Cloud launched Agent Compute Engine, which allocates a hardware-isolated microVM to each AI agent session, stores no credentials inside the sandbox, and has already been used to support internal workloads such as Gemini, with a customer preview planned for the coming months. Each microVM has its own guest kernel, root privileges, and Hyperdisk; when idle it is checkpointed to zero active resources and restored from a snapshot on the next invocation. The open-source counterpart, Agent Substrate, has been available on GKE since September 15, 2026, achieving 500 activations per second and suspend-resume in under 500 ms in a 200,000-agent benchmark; non-production use is open to all GKE customers, while production GA requires allowlist approval.
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SiliconANGLE
Google Cloud launches Agent Compute Engine to host AI agents
Google Cloud has launched Agent Compute Engine, an infrastructure service purpose-built for hosting AI agents, whose sandboxes are implemented as microVMs, combining the hardware efficiency of containers with the isolation capabilities of traditional virtualization. The service limits the attack surface with stateless devices, an immutable file system, Titan chip-verified firmware, and a multi-layer proxy network, and automatically shuts down sandboxes when idle and rapidly restores them when needed, enabling a single physical node to host far more agent microVMs than conventional VMs. Agent login credentials are stored outside the sandbox and retrieved on the agent's behalf by Agent Gateway; the service will launch in the coming months alongside a new version of Agent Gateway, which adds model routing and token consumption control capabilities.
The Decoder
Google launches Agent Compute Engine, allocating a hardware-isolated microVM to each Gemini agent
Google announced Agent Compute Engine, which provides each AI agent with an independently isolated virtual machine. The service already powers Gemini and will open in preview over the coming months. Each agent runs in a microVM protected by Google Titanium chips, automatically suspends when idle to free up machines, and shared memory between virtual machines lowers per-machine costs. Google says its open-source Kubernetes runtime Agent Substrate can host ten times as many agents on a single server, and in a test with 200,000 agents, suspend and resume took under 500 milliseconds. It also adds token tracking, model routing, and support for third-party identity providers such as Ping Identity and SailPoint; these controls will extend to Cloud Run, GKE, and managed endpoints.
Testing Catalog
Google Cloud launches Agent Compute Engine, providing dedicated VMs for AI agents
At AGNTCon + MCPCon, Google Cloud announced the launch of Agent Compute Engine (ACE), a VM type built specifically for AI agents and aimed at large-scale operation scenarios. The system comprises four components—Agent Gateway, Agent Registry, Agent Identity, and Agent Observability—and also expands Gemini's capabilities for enterprise agent governance.
Oct 22
The New Stack
Google opens the infrastructure behind Gemini agents as a cloud service, Agent Compute Engine
Google announced that it will open a preview of Agent Compute Engine to Google Cloud users later this year, providing each AI agent with a hardware-isolated microVM that balances container startup speed with sandbox security. The service was originally internal infrastructure for Gemini, Antigravity, and Google's model training pipelines; when an agent is idle, it checkpoints the microVM to free up resources. Google is also offering an open-source runtime, Agent Substrate, which can run on any Kubernetes cluster; the company says that in a benchmark of 200,000 agents it achieved 500 activations per second, with suspend and resume taking under half a second.
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