惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

L
LangChain Blog
Martin Fowler
Martin Fowler
P
Palo Alto Networks Blog
MongoDB | Blog
MongoDB | Blog
A
About on SuperTechFans
Google DeepMind News
Google DeepMind News
博客园_首页
量子位
小众软件
小众软件
F
Full Disclosure
Vercel News
Vercel News
爱范儿
爱范儿
Engineering at Meta
Engineering at Meta
F
Fortinet All Blogs
博客园 - 聂微东
V
V2EX
Blog — PlanetScale
Blog — PlanetScale
罗磊的独立博客
WordPress大学
WordPress大学
D
Darknet – Hacking Tools, Hacker News & Cyber Security
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
T
Tor Project blog
Google DeepMind News
Google DeepMind News
M
MIT News - Artificial intelligence
L
Lohrmann on Cybersecurity
H
Hacker News: Front Page
Spread Privacy
Spread Privacy
AI
AI
C
Cyber Attacks, Cyber Crime and Cyber Security
C
CERT Recently Published Vulnerability Notes
D
Docker
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
Recorded Future
Recorded Future
L
LINUX DO - 热门话题
Microsoft Azure Blog
Microsoft Azure Blog
Recent Commits to openclaw:main
Recent Commits to openclaw:main
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
Latest news
Latest news
W
WeLiveSecurity
Application and Cybersecurity Blog
Application and Cybersecurity Blog
博客园 - 司徒正美
博客园 - 叶小钗
T
Threat Research - Cisco Blogs
P
Privacy International News Feed
O
OpenAI News
Help Net Security
Help Net Security
aimingoo的专栏
aimingoo的专栏
宝玉的分享
宝玉的分享
博客园 - Franky

Security & Identity

Verifiable trust in the AI era: What’s new in Confidential Computing | Google Cloud Blog Choice, compliance, and collaboration: Europe’s path to open digital sovereignty | Google Cloud Blog Driving the UK’s next chapter: From AI potential to agentic reality | Google Cloud Blog Google named a Leader in IDC MarketScape SIEM 2026 Vendor Assessment | Google Cloud Blog Cloud CISO Perspectives: The 4 lessons that guided AI Threat Defense | Google Cloud Blog Powering the next era of Confidential AI Detecting and containing AI-powered threats with Google Security Operations agents Cloud CISO Perspectives: How to build an AI-ready security program for the public sector Introducing Google AI Threat Defense to help you outpace the adversary Cloud CISO Perspectives: How Google + Wiz changes multicloud strategy for CISOs Why cloud infrastructure is the foundation for digital health in 2026 Beyond source code: The files AI coding agents trust — and attackers exploit What's new in IAM: Security, governance, and runtime defense Google named a Leader in the 2026 Gartner Magic Quadrant for Cyberthreat Intelligence Technologies Introducing Agent Gateway ISV ecosystem for security and governance Cloud CISO Perspectives: At Next ‘26, why we’re multicloud and multi-AI Next ‘26: Redefining security for the AI era with Google Cloud and Wiz | Google Cloud Blog Introducing Google Cloud Fraud Defense, the next evolution of reCAPTCHA | Google Cloud Blog Next ‘26: Announcing new partner-supported workflows for Google Security Operations | Google Cloud Blog Cloud CISO Perspectives: How CISOs can pursue technical and cultural resilience (Q&A) | Google Cloud Blog Essential AI and cloud security now on by default Securing AI inference on GKE with Model Armor A Leader in Forrester Wave Sovereign Cloud Platform 2026 See beyond the IP and secure URLs with Google Cloud NGFW Cloud CISO Perspectives: RSAC: AI, security, and the workforce of the future How to build AI agents with Google-managed MCP servers Bringing dark web intelligence into the AI era RSAC ’26: Supercharging agentic AI defense with frontline threat intelligence IAP integration with Cloud Run Why context is the missing link in AI data security Welcoming Wiz to Google Cloud: Redefining security for the AI era Cloud CISO Perspectives: New Threat Horizons report highlights current cloud threats Google named a Leader in IDC MarketScape: U.S. SLG Professional Security Services Introducing the Google Cloud recommended security checklist Cloud CISO Perspectives: How Google approaches critical security topics, from fundamentals to AI Sovereignty and European competitiveness: A partnership-led approach to AI growth Cloud CISO Perspectives: New AI threats report: Distillation, experimentation, and integration Delivering a secure, open, and sovereign digital world Introducing Single-tenant Cloud HSM for more data encryption control Cloud CISO Perspectives: 5 top CISO priorities in 2026
Securing agentic AI: What's new in VPC Service Controls | Google Cloud Blog
Pratik Bhangale · 2026-06-27 · via Security & Identity

As enterprises scale autonomous AI agents into production, enabling safe innovation requires robust architectural guardrails. AI agents connect across tools and datasets, so it’s essential to establish clear network-level boundaries for comprehensive data protection. 

To help organizations confidently deploy these workflows, we recommend VPC Service Controls (VPC-SC) to establish an essential network-level, destination-based perimeter. Today we’re announcing several new capabilities specifically designed for agentic workloads.

What's new in VPC Service Controls

Designed to enhance AI security, the new capabilities we’re announcing today strengthen boundaries enforced by VPC-SC.

The capability updates include:

  • Agent identity in directional rules: Enforcing least-privilege access requires treating agents as first-class identities. You can now add agentic identities directly to service perimeter ingress and egress rules using standard Identity and Access Management (IAM) principals. A single principal maps to an individual agent, while a principalSet maps to a broader collection of agents. PrincipalSets lets administrators apply consistent, auditable access policies across agent fleets. If an agent is compromised, you can immediately revoke its access at the network perimeter.

  • Granular control with model context protocol (MCP) attributes: As MCP becomes the standard integration layer for agentic systems, the ability to enforce policy at the tool level is critical. VPC Service Controls now support conditional access rules based on specific MCP attributes, including mcp.toolName, mcp.method, and mcp.tool.isReadOnly. For example, you can grant an agent read access to a Workspace MCP server while explicitly denying its ability to send emails.

  • Securing the Gemini Enterprise Agent Platform: The Gemini Enterprise Agent Platform provides a comprehensive foundation for production-grade agent deployments. VPC Service Controls is now natively integrated with Agent Platform. When you include Agent Platform as a protected service within a VPC-SC perimeter, the system automatically blocks all public internet access to the Agent Platform instance — enforcing a secure boundary without additional configuration overhead.

"At Mercado Libre, VPC Service Controls serve as an essential, foundational layer of our security architecture. By building a strong perimeter enforcement across hundreds of Google Cloud projects in our organization, we established robust network-level security controls with VPC-SC, ensuring all our data remains protected in our cloud environment," said Juan Pablo Boschi, project lead at Mercado Libre.

Defining a layered approach to enterprise AI security with VPC-SC

Securing an autonomous agent requires a layered approach. Identity, network, and resource controls each target a distinct threat vector.

  • Identity controls: IAM and Principal Access Boundaries (PAB) focus on "who" can access specific resources. By enforcing strict least-privilege principles for agent identities, you help ensure that autonomous workloads only have the permissions necessary for their specific objectives.

  • Network controls: Next-generation network firewalls and VPC Service Controls define a robust data perimeter on top of your infrastructure, governing the flow of information across boundaries and preventing data exfiltration.

  • Resource controls: Organization Policy and other resource-level guardrails set broad, immutable constraints on how resources can be configured and used, preventing risky configurations by default.

While identity and network controls effectively secure the front door, VPC Service Controls provide a critical destination-based defense. In the probabilistic world of autonomous agents, VPC-SC is the control that focuses on the "how” and "where" of the agent’s network and operations, in addition to the “who”.

Defending against the unique attack vectors

Unlike traditional applications, an AI agent's input can inadvertently prompt it to execute an unintended command or action. If an agent is successfully compromised — whether driven by malicious prompts, tool manipulation, or malicious insider commands — VPC Service Controls serves as a critical network safety net.

To illustrate how this network boundary defends against industry-standard risks as mapped by  the OWASP Top 10 for LLM Applications, here are three real-world threat vectors where VPC Service Controls can help supplement identity-based controls to prevent data exfiltration. 

  • Exfiltration prevention via indirect prompt injection (OWASP ASI01): A malicious actor could attempt to embed a hidden prompt asking an agent to summarize internal data and transmit it to an unauthorized user. If the hijacked agent has IAM permissions, IAM detects no anomaly.However, when the agent tries to send that data to an external webhook, VPC-SC blocks the API-layer transfer because the destination is outside the defined perimeter.

  • Guardrail for tool misuse (OWASP ASI02, ASI08): Prompt hijacks can lead agents to chain tools maliciously, such as sending internal directory data to an external service. By enforcing a VPC-SC perimeter around sensitive assets, you prevent misbehaving agents from bridging data across isolated trust zones.

  • Neutralizing insider threats (OWASP AS103): Attackers can command a data-processing agent to perform a direct cloud-to-cloud copy from a BigQuery dataset to an unauthorized project. While network firewalls see legitimate HTTPS traffic to BigQuery, and IAM sees an authorized service account, VPC-SC evaluates the destination resource. Since the destination project is outside the enterprise perimeter, the system immediately denies the API request.

https://storage.googleapis.com/gweb-cloudblog-publish/images/Pratiks_blog_image_1.max-1100x1100.jpg

VPC Service Controls acts as a perimeter to block data exfiltration attempts from a compromised agent, even if the agent has valid IAM credentials.

Data protection for the autonomous agent world

Perimeter security has evolved from a recommended best practice in the deterministic application and workload centric age to an absolute requirement for the era of autonomous AI agents. VPC-SC provides the necessary control over data movement that IAM cannot address alone. 

In an era where agents interpret prompts as code, VPC-SC becomes the mandatory safety net for enterprise data. Pairing the mapping capability of IAM with the rigid data perimeters of VPC-SC lets organizations securely build agentic innovation while maintaining an absolute guardrail against exfiltration.

To learn more, you can explore VPC-SC resources here.

Posted in