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

The Last Watchdog
The Last Watchdog
Microsoft Security Blog
Microsoft Security Blog
宝玉的分享
宝玉的分享
小众软件
小众软件
雷峰网
雷峰网
F
Full Disclosure
B
Blog
Hugging Face - Blog
Hugging Face - Blog
GbyAI
GbyAI
月光博客
月光博客
Recent Commits to openclaw:main
Recent Commits to openclaw:main
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
TaoSecurity Blog
TaoSecurity Blog
博客园 - 聂微东
P
Palo Alto Networks Blog
N
Netflix TechBlog - Medium
S
Secure Thoughts
Google Online Security Blog
Google Online Security Blog
P
Privacy & Cybersecurity Law Blog
U
Unit 42
Cloudbric
Cloudbric
Know Your Adversary
Know Your Adversary
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
Vercel News
Vercel News
博客园 - Franky
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
N
News and Events Feed by Topic
T
Tailwind CSS Blog
S
Schneier on Security
IT之家
IT之家
P
Proofpoint News Feed
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
T
Tenable Blog
Google DeepMind News
Google DeepMind News
The GitHub Blog
The GitHub Blog
T
Troy Hunt's Blog
V2EX - 技术
V2EX - 技术
Cyberwarzone
Cyberwarzone
P
Privacy International News Feed
I
InfoQ
MongoDB | Blog
MongoDB | Blog
Project Zero
Project Zero
B
Blog RSS Feed
Help Net Security
Help Net Security
H
Heimdal Security Blog
有赞技术团队
有赞技术团队
The Register - Security
The Register - Security
V
V2EX
C
CXSECURITY Database RSS Feed - CXSecurity.com
J
Java Code Geeks

Microsoft Security Blog

Microsoft at Black Hat USA 2026: Defending trust in the age of AI and supply chain attacks | Microsoft Security Blog ACR Stealer: Two observed intrusion chains amid increased threat activity | Microsoft Security Blog Least privilege for AI agents: Identity, access, and tool binding | Microsoft Security Blog Unpacking the AsyncAPI npm supply chain compromise and import-time payload delivery | Microsoft Security Blog Turning threat intelligence into decisive action with Defender Experts | Microsoft Security Blog Defending SaaS-based applications against ShinyHunters OAuth abuse | Microsoft Security Blog Microsoft Entra ID security updates: Passkeys are the default authentication method in Entra ID | Microsoft Security Blog Securing our future: July 2026 progress report on Microsoft's Secure Future Initiative | Microsoft Security Blog GigaWiper: Anatomy of a destructive backdoor assembled from multiple malware | Microsoft Security Blog Protecting Microsoft at AI speed: How SFI proactively hardens our cloud   | Microsoft Security Blog 5 insights from Frost & Sullivan’s 2025 Frost Radar™ for Cloud Security Posture Management | Microsoft Security Blog Improving security posture across the Microsoft partner ecosystem | Microsoft Security Blog Accelerating the quantum-safe timeline | Microsoft Security Blog ​​What’s new in Microsoft Security: June 2026 | Microsoft Security Blog Securing AI agents: When AI tools move from reading to acting | Microsoft Security Blog Chromium extension uses AI‑related branding to redirect browser search | Microsoft Security Blog Photo ZIP campaign targeting hospitality industry delivers Node.js implant for persistent access | Microsoft Security Blog Microsoft a Leader in The Forrester Wave™ for Endpoint Management Platforms | Microsoft Security Blog CNAPP evolution: How Microsoft aligns with leading cloud risk management platforms | Microsoft Security Blog StealC and Amadey: Breaking down infostealers and the cybercrime services that deliver them | Microsoft Security Blog Guarding AI memory | Microsoft Security Blog One intrusion, two cyberattackers: Uncovering parallel threat activity | Microsoft Security Blog AutoJack: How a single page can RCE the host running your AI agent  | Microsoft Security Blog New Forrester study shows customers who unified with Microsoft Security benefited from 124% ROI | Microsoft Security Blog From package to postinstall payload: Inside the Mastra npm supply chain compromise | Microsoft Security Blog Crypto Clipper uses Tor and worm-like propagation for persistence and control | Microsoft Security Blog Beyond the benchmark: Advancing security at AI speed  | Microsoft Security Blog ​​Forrester names Microsoft a Leader in the 2026 Extended Detection and Response Platforms Wave™ report | Microsoft Security Blog AI is accelerating cyberattacks—here’s how to stay ahead Microsoft Defender email security benchmarking: Key insights from one year of data | Microsoft Security Blog Reconstructing AI activity in investigations AI brands as bait: How threat actors are using the AI hype in social engineering Securing CI/CD in an agentic world: Claude Code Github action case Updating the taxonomy of failure modes in agentic AI systems: What a year of red teaming taught us Preinstall to persistence: Inside the Red Hat npm Miasma credential-stealing campaign Turn specs into evals for any agent with ASSERT Microsoft Build 2026: Securing code, agents, and models across the development lifecycle Malicious npm packages abuse dependency confusion to profile developer environments Microsoft is named a Leader in the 2026 Gartner® Magic Quadrant™ for Endpoint Protection Typosquatted npm packages used to steal cloud and CI/CD secrets The Gentlemen ransomware: Dissecting a self-propagating Go encryptor From poisoned search results to GPU mining: A cryptojacking campaign abusing ScreenConnect and Microsoft .NET utilities Microsoft recognized as a Leader in The Forrester Wave™ for Workforce Identity Security Platforms From edge appliance to enterprise compromise: Multi-stage Linux intrusion via F5 and Confluence Microsoft Security success stories: How St. Luke’s and ManpowerGroup are securing AI foundations What’s new in Microsoft Security: May 2026 Mini Shai Hulud: Compromised @antv npm packages enable CI/CD credential theft Securing the gaming culture of cultures Introducing RAMPART and Clarity: Open source tools to bring safety into Agent development workflow Exposing Fox Tempest: A malware-signing service operation How Storm-2949 turned a compromised identity into a cloud-wide breach How to better protect your growing business in an AI-powered world Defense in depth for autonomous AI agents When configuration becomes a vulnerability: Exploitable misconfigurations in AI apps Accelerating detection engineering using AI-assisted synthetic attack logs generation Defending consumer web properties against modern DDoS attacks Undermining the trust boundary: Investigating a stealthy intrusion through third-party compromise Active attack: Dirty Frag Linux vulnerability expands post-compromise risk When prompts become shells: RCE vulnerabilities in AI agent frameworks World Passkey Day: Advancing passwordless authentication ​​Microsoft named an overall leader in KuppingerCole Analyst’s 2026 Emerging AI Security Operations Center (SOC) report ​​ ClickFix campaign uses fake macOS utilities lures to deliver infostealers Breaking the code: Multi-stage ‘code of conduct’ phishing campaign leads to AiTM token compromise CVE-2026-31431: Copy Fail vulnerability enables Linux root privilege escalation across cloud environments Microsoft Agent 365, now generally available, expands capabilities and integrations What’s new, updated, or recently released in Microsoft Security Email threat landscape: Q1 2026 trends and insights 8 best practices for CISOs conducting risk reviews Simplifying AWS defense with Microsoft Sentinel UEBA AI-powered defense for an AI-accelerated threat landscape Detection strategies across cloud and identities against infiltrating IT workers Making opportunistic cyberattacks harder by design Cross‑tenant helpdesk impersonation to data exfiltration: A human-operated intrusion playbook Containing a domain compromise: How predictive shielding shut down lateral movement Building your cryptographic inventory: A customer strategy for cryptographic posture management Dissecting Sapphire Sleet’s macOS intrusion from lure to compromise Incident response for AI: Same fire, different fuel The agentic SOC—Rethinking SecOps for the next decade Investigating Storm-2755: “Payroll pirate” attacks targeting Canadian employees Intent redirection vulnerability in third-party SDK exposed millions of Android wallets to potential risk Inside an AI‑enabled device code phishing campaign Storm-1175 focuses gaze on vulnerable web-facing assets in high-tempo Medusa ransomware operations Threat actor abuse of AI accelerates from tool to cyberattack surface Cookie-controlled PHP webshells: A stealthy tradecraft in Linux hosting environments Mitigating the Axios npm supply chain compromise Critical Infrastructure at Risk | Security Insider
Microsoft named a leader in the Frost Radar for cloud and application runtime security | Microsoft Security Blog
Microsoft Security Team · 2026-07-02 · via Microsoft Security Blog

Cloud security is shifting from visibility to contextual risk reduction, extending into the applications, APIs, and workloads where attacks actually occur. Because modern workloads are built and run in the cloud, security teams must understand which exposures matter most, prioritize what can truly be exploited, and reduce risk across the full stack from infrastructure to application runtime.

As organizations expand across multicloud and hybrid environments, they adopt modern architectures built on containers, Kubernetes, microservices, APIs, and AI-powered workloads. This increases both the volume and interconnectedness of security signals. The challenge is no longer identifying individual risks, but determining how vulnerabilities, identities, and data exposures combine across infrastructure and the applications running on it to create real attack paths, and which of these are most critical to fix at the source. Effective risk reduction depends on understanding which of these paths are actually reachable and exploitable in a live environment.

Frost & Sullivan’s 2026 Frost Radar™ for Cloud/Application Runtime Security (CARS) reflects this shift. The report highlights how cloud security is evolving from a collection of posture and workload capabilities into a unified runtime risk operations model, correlating signals across code, cloud, runtime, applications, and security operations center (SOC) workflows to prioritize and reduce risk continuously.

Within this evolving market, Microsoft is positioned as a visionary leader because of the scale of its hyperscale ecosystem, operational breadth of Microsoft Defender for Cloud when integrated with Microsoft Defender XDR, and large customer base. That recognition reflects where the category is heading: toward platforms that connect cloud and application security into one operational view of risk.

Why cloud security is being redefined

The Frost Radar makes a clear point: cloud security is no longer about visibility or compliance alone. It is becoming an operational discipline for reducing risk across the full runtime—from cloud infrastructure to the application code executing on top of it.

Modern environments introduce complexity across:

  • Multicloud and hybrid infrastructure.
  • Rapid development and continuous deployment.
  • Containers, serverless, microservices, and APIs.
  • AI-powered workloads, agents, and machine identities.

This complexity exposes the limits of traditional, siloed tools—where cloud posture, workload protection, and application security each live in their own console. Organizations now need platforms that can:

  • Correlate posture, runtime, identity, data, and application signals.
  • Prioritize risk based on exploitability—not severity alone.
  • Integrate security across development, cloud operations, and the SOC.
  • Validate whether a vulnerability is actually reachable inside a running application.

This is the shift the report describes: from detecting issues to operationalizing risk reduction across the lifecycle—and across both cloud and application layers.

What distinguishes leading platforms

Frost & Sullivan evaluates providers on growth and innovation—but, more importantly, on how effectively they help organizations manage real risk. Five themes define the next generation of platforms:

  1. Platform unification over point solutions.
  2. Code-to-cloud-to-SOC integration.
  3. Risk prioritization based on exploitability.
  4. Correlation across identity, data, cloud, and application context.
  5. Expansion into AI-powered workloads.

Taken together, these capabilities represent a move from fragmented visibility to connected, contextual risk management that spans cloud detection and response (CDR) and application detection and response (ADR)—the two halves the market is converging into a single runtime fabric.

How Microsoft help organizations manage real risk

1. Connect signals to prioritize real attack paths

Most security tools surface large volumes of findings across cloud infrastructure and applications, but isolated findings do not reflect how cyberattacks actually happen. Threat actors exploit how misconfigurations, excessive permissions, and data exposure combine to create a path to critical assets.

Microsoft Defender for Cloud correlates posture, identity, data, and runtime signals to identify which risks are truly exploitable. A misconfigured storage resource on its own may appear low priority. However, when it is exposed to the internet, combined with excessive access permissions, and connected to sensitive data, it becomes part of a clear attack path that can be used to compromise the environment.

What this means: Security teams can prioritize real attack paths instead of individual findings, helping to reduce alert fatigue and improve remediation speed and precision.

2. Continuously validate and act on risk across the lifecycle

Security needs to operate continuously across development, runtime, and operations, spanning both the application and the cloud environment it runs in. Defender for Cloud connects insights across code and infrastructure definitions, cloud configuration and runtime context, application and API layers, and security operations workflows through Defender XDR.

A vulnerability identified before deployment can be tracked through to runtime, where it is evaluated in the context of the running environment and surfaced in security operations if it is determined to be exploitable.

What this means: Organizations can continuously validate risk and respond more effectively by connecting development, cloud environments, and security operations.

3. Reducing complexity across fragmented cloud and application security workflows

As environments scale, fragmented tools and workflows make it difficult to understand how risks connect and where to focus first. When cloud infrastructure and application security are managed separately, investigation becomes slower and more manual.

Defender for Cloud helps bring these signals together in a single investigative flow, where risks can be analyzed across configuration, runtime context, application behavior, and identity exposure.

Instead of switching between separate tools, security teams can investigate a single incident across its initial misconfiguration, runtime impact, application behavior, and identity exposure, a more connected experience.

What this means: Security teams can investigate faster, prioritize risk more efficiently, focus on what matters most, and respond more quickly across fragmented cloud and application environments.

What this signals for security leaders

The Frost Radar offers a signal for where cloud security is headed: toward platforms that connect context across cloud and application environments so teams can prioritize the risks most likely to be exploited and reduce exposure faster. Security leaders should now ask:

  • Can the platform correlate signals across identity, endpoints, data, cloud, runtime, and applications?
  • Does it span the full code-to-cloud lifecycle—and reach into the SOC?
  • Can it prioritize risk based on exploitability—not just severity?
  • Does it bring cloud detection and response together with application detection and response?
  • Can it scale across multicloud and AI environments?

These are the capabilities that define the next generation of cloud and application runtime security.

Bottom line

Frost & Sullivan’s 2026 CARS analysis reinforces a clear shift: cloud security is moving from fragmented visibility to unified, contextual risk management across the entire lifecycle—and across both the cloud and the application layer.

Microsoft’s position as a visionary leader in the Frost Radar reflects this shift—bringing together posture, runtime, identity, endpoints, data, and application signals into a connected platform that helps organizations prioritize and reduce risk continuously.

Learn more

To learn more about Microsoft Security solutions, visit our website. Bookmark the Security blog to keep up with our expert coverage on security matters. Also, follow us on LinkedIn (Microsoft Security) and X (@MSFTSecurity) for the latest news and updates on cybersecurity.