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

阮一峰的网络日志
阮一峰的网络日志
博客园 - 司徒正美
D
DataBreaches.Net
宝玉的分享
宝玉的分享
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
博客园 - 【当耐特】
人人都是产品经理
人人都是产品经理
博客园 - Franky
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
IT之家
IT之家
博客园 - 三生石上(FineUI控件)
J
Java Code Geeks
腾讯CDC
博客园_首页
The Cloudflare Blog
S
SegmentFault 最新的问题
C
Check Point Blog
美团技术团队
爱范儿
爱范儿
大猫的无限游戏
大猫的无限游戏
Hugging Face - Blog
Hugging Face - Blog
T
The Blog of Author Tim Ferriss
A
About on SuperTechFans
Blog — PlanetScale
Blog — PlanetScale

Sysdig Blog

Masterclass: AI is more than ChatGPT and LLMs CVE-2026-39987 update: How attackers weaponized marimo to deploy a blockchain botnet via HuggingFace Kubernetes 1.36 - New security features 5 steps to securing AI workloads Marimo OSS Python Notebook RCE: From Disclosure to Exploitation in Under 10 Hours Security briefing: March 2026 The Sysdig MCP server is now available in AWS Marketplace Risk isn’t reduced until you take action: How teams resolve issues in the cloud AI infrastructure security: Why it deserves its own category Closing the cloud security gap with runtime security Seeing risk isn’t stopping it: Why visibility alone isn’t enough TeamPCP expands: Supply chain compromise spreads from Trivy to Checkmarx GitHub Actions AI coding agents are running on your machines — Do you know what they're doing? Runtime security for AI coding agents: Protecting AI-assisted development How runtime insights power every cloud security use case CVE-2026-33017: How attackers compromised Langflow AI pipelines in 20 hours Inline Cloud Response: Accelerating AWS threat containment for SOC teams Runtime malware detection for AWS Fargate Detecting CVE-2026-3288 & CVE-2026-24512: Ingress-nginx configuration injection vulnerabilities for Kubernetes Malware detection with Sysdig Security briefing: February 2026 Leveling up Kubernetes Posture: From baselines to risk-aware admission Eliminating runtime blind spots: How CleanStart and Sysdig build continuous trust across the container lifecycle LLMjacking: From Emerging Threat to Black Market Reality Real risks live at runtime: Why CISOs must care about deep telemetry in 2026 Sysdig named a Leader in the Forrester Wave™: Cloud Native Application Protection Solutions, Q1 2026 How to run rootless containers AI-assisted cloud intrusion achieves admin access in 8 minutes Security briefing: January 2026 Securing GPU-accelerated AI workloads in Oracle Kubernetes Engine
Three pillars for building effective runtime-powered clou...
Marla Rosner · 2026-03-26 · via Sysdig Blog

Cloud-native workloads don’t wait around. Where traditional infrastructure was relatively static, content to stay idle for months or even years, containers and cloud workloads are constantly in flux. Sysdig research has found that 60% of containers live for one minute or less. Kubernetes clusters continuously scale up and down on demand, and serverless functions execute code in milliseconds before vanishing. And modern threats have learned to move just as fast.

What does this mean for your security? Simply put, you need a security program that works as quickly as your cloud infrastructure and workloads. Point-in-time snapshots can’t adequately protect your organization anymore, and neither can tools that only detect threats minutes or hours after the fact. 

To secure your cloud environment, you have to secure it at runtime. Runtime insights are the actionable information and signals needed to understand the real-time context around vulnerabilities, misconfigurations, and threats. Runtime insights allow security teams to understand in the moment what issues are truly urgent and how to remediate them. With runtime as the foundation, teams can prioritize what’s truly at risk for exploitation, detect active threats as they happen, and take action with precision.

In this blog, we’ll break down the three key pillars to building an effective runtime-powered cloud defense, so you can secure your infrastructure in real time the right way. Read on to learn more, or download our full Blueprint to Runtime-Powered Cloud Defense, the Right Way to get the full story.

1. Visibility across your full technology stack

First, you need a security solution that provides full-stack visibility, from the kernel to the cloud. That means collecting runtime telemetry from every layer of your stack, including containers, virtual machines, serverless workloads, Kubernetes, and cloud accounts.

This full-stack view empowers security teams to understand what happened and also how different elements relate. If a container launches a reverse shell, you can capture the syscall and tie it to the container image, the namespace, the user identity, and any lateral connections that follow. That correlation happens immediately, meaning there’s no need to reconstruct the picture later.

2. Resilience and scalability

To capture runtime data in cloud environments, you need instrumentation that can ingest data across many different types of infrastructure, services, and third-party applications. You also need pipelines that can process high-volume signals and correlate system behavior with cloud-native architecture in real time. Effective runtime instrumentation must scale seamlessly as these environments grow, continuing to provide full visibility without degrading performance.

By approaching runtime data this way, you can ensure that every event arrives with full execution context, ready to support rapid investigation and response. Detections fire with the context and relevance security teams need to make fast decisions, showing the real attack path as it unfolds and cutting down on both latency and noise.

3. Actionable context for a fast response

All that visibility and data is incredibly useful, but only if it leads to a response. And responding effectively requires context to enrich your data.

To make that happen, you need a security solution that deeply integrates runtime insights into every part of the platform. Runtime insights need to inform detection rules, enrich investigations, drive agentic AI recommendations, and power real-time response actions.

Only with this rich runtime-based foundation do teams have the context they need to take swift and effective action when threats are detected, including tracing lateral movement and mapping the blast radius, correlating isolated events to piece together the attack chain, prioritizing response based on live events, and terminating malicious processes.

Closing thoughts

In environments where workloads spin up and disappear in seconds, the only source of truth is what happens at runtime. That’s where signals live. That’s where attacks unfold. And that’s where defenders need insight. 

As both infrastructure and threats continue to evolve in sophistication and speed, security teams must be ready to meet them where and when they occur. By building a cloud defense program powered by runtime insights, you can equip your defenders with the real-time visibility, context, and control they need to to secure what’s happening now.