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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 Three pillars for building effective runtime-powered cloud defense, the right way 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 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 Bringing OSS runtime security to AWS: Falco integration with AWS Security Hub CSPM Our customers have spoken: Sysdig rated a Strong Performer in Gartner® Voice of the Customer for Cloud-Native Application Protection Platforms Protecting sensitive business data in preparation for the organization's Gen AI VoidLink threat analysis: Sysdig discovers C2-compiled kernel rootkits AI is still a workload: A practical guide to securing AI workloads How threat actors are using self-hosted GitHub Actions runners as backdoors How Sysdig Sage delivers AI-powered, real-world vulnerability management Security briefing: December 2025 Top 10 ways to get breached in 2026 EtherRAT dissected: How a React2Shell implant delivers 5 payloads through blockchain C2 Introducing runtime file integrity monitoring and response with Sysdig FIM How to detect multi-stage attacks with runtime behavioral analytics EtherRAT: DPRK uses novel Ethereum implant in React2Shell attacks Detecting React2Shell: The maximum-severity RCE vulnerability affecting React Server Components and Next.js The rise of AI agents: How autonomous AI Is transforming cloud security Kubernetes 1.35 - New security features The Urgency of Securing AI Workloads for CISOs Security briefing: November 2025 Quantum and the cloud: Science fiction turned security strategy Cloud security, the right way: What the industry should demand (and why "good enough" isn't) Return of the Shai-Hulud worm affects over 25,000 GitHub repositories Detecting CVE-2024-1086: The decade-old Linux kernel vulnerability that’s being actively exploited in ransomware campaigns What’s old is new again: How to demystify AI security with AIBOMs Securing Kubernetes with agentic cloud security How agentic cloud security reduces real risks Hunting reverse shells: How the Sysdig Threat Research Team builds smarter detection rules Shifting left with AI and MCP: Sysdig + Amazon Q Developer How Falco and Stratoshark close the gap between open source runtime detection and deep forensic analysis Investigating security issues with ChatGPT and the GitHub MCP server New runc vulnerabilities allow container escape: CVE-2025-31133, CVE-2025-52565, CVE-2025-52881 Harden your LLM security with OWASP Security briefing: October 2025 How agentic AI is changing cloud security Kubernetes Incident Response: Detect, investigate, and contain in under 10 minutes Sysdig recognized as a Cloud Security Leader in Latio Tech Cloud Security Market Report AI echolocation of cloud risks using Sysdig & Snyk MCP servers Sysdig MCP Server: Bridging AI and cloud security insights Understanding CVE-2025-49844: “RediShell” Critical Remote Code Execution in Redis How Sysdig secures your containers and Kubernetes Sysdig Security Briefing: September 2025 Cloud security, the right way: The 3 pillars of real-time defense Open source spotlight: Bringing web application security to Falco with Falcoya's Nginx plugin Malicious NPM packages: Are you exposed? 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Malware detection with Sysdig
Blair Howard · 2026-03-09 · via Sysdig Blog

Malware didn’t disappear in the cloud. It evolved.

When we talk about cloud security, we spend a lot of time discussing things like configuration and identity risk. But we shouldn't lose sight of other types of risk, simply because they don't lead to the lion's share of incidents. One of those risks is malware. And as attackers increasingly automate exploitation of exposed services and vulnerable workloads, it’s no longer safe to assume you can ignore malware risk in cloud environments.

It’s important to recognize that malware in the cloud is different from what security teams might have grown used to in the endpoint space.

In the cloud, malware is much faster, more automated, and typically short-lived. Threat actors looking for a rapid ROI spin up cryptominers in exposed containers, drop backdoors into vulnerable workloads, and inject malicious processes at runtime, to name just a few techniques. And because cloud workloads are ephemeral, traditional endpoint-based detection models no longer meet the needs of a modern cloud analyst. Cloud security teams need detection that is purpose-built for containerized, serverless, and elastic infrastructure, not retrofitted endpoint controls.

Some teams also sink hours into writing and maintaining detection rules for malware, a task that ideally should not consume valuable analyst time. Teams shouldn't be inundated with busy work like reverse engineering vague alerts, or pivoting across multiple tools to see if something is actually nefarious in nature. These inefficiencies can rapidly compound into slower response times, eroded trust, and in the worst- case scenario… a breach.

Teams simply need accurate, high-context malware detections, well-managed rules, and fewer false positives. They also need detections to work everywhere they are building out their ecosystem, from cloud to hybrid to on-prem environments. And they need detection that connects directly to investigation and response, not just alert generation.

Sysdig tackles cloud malware

Sysdig’s industry-leading cloud detection and response delivers comprehensive malware detection, blocking, and response across cloud, hybrid, and on-premises environments. This matters because modern cloud attacks move fast, and malware doesn’t always announce itself through known indicators of compromise or obvious behavioral indicators. Sometimes it quietly lands in a workload, waits for execution, or attempts to blend into legitimate processes.

That’s why Sysdig’s cloud detection and response adds multiple powerful layers of malware detection directly into runtime protection, leveraging YARA rules, signatures, and curated feeds from third-party providers. These layers complement behavioral runtime detection, ensuring both known and previously unseen threats can be identified.

Detect malware at the moment it matters

Sysdig detects malware when it is persisted to disk or executed in a workload. This creates an additional layer of detection that complements our behavioral monitoring and runtime threat detection. It also bridges the gap between static analysis and live runtime defense, giving analysts earlier and more actionable signals.

Instead of waiting for malicious behavior to trigger alerts, Sysdig can identify malware earlier in the attack lifecycle, before suspicious activity escalates.

This broader detection capability allows security teams to:

  • Spot malware before its behavior becomes visible
  • Detect threats that may not generate clear indicators of compromise (IoC)
  • Catch payloads that evade traditional IoC-based detection methods

In cloud environments where workloads are ephemeral and attackers automate exploitation, that earlier signal can make the difference between containment and compromise.

Blocking, not just detection

Detection is critical. Blocking is faster.

Sysdig’s cloud detection and response can block malware execution outright, preventing a malicious binary from ever loading into memory. Not a single byte reaches the CPU. This moves organizations from reactive alerting to proactive risk reduction.

This means malware can be stopped before any of its instructions are executed, eliminating downstream risk such as the possibility of polymorphic malware attempting to mutate, persist, or erase its traces.

By enforcing prevention at runtime, security teams move from reactive detection to active protection. Analysts also gain Sysdig's best-in-class visibility with comprehensive context to accelerate investigation and response workflows. This is especially impactful during the persistence phase of an attack, when defenders need to quickly identify and disrupt malicious behavior.  

Optimized for cloud environments

Traditional malware scanners often rely on heavy file system sweeps and resource-intensive scanning processes. In dynamic cloud environments, that approach does not scale efficiently, has a higher cost, and it’s also too slow to keep the pace of rapidly evolving workloads and containers in the cloud.

Sysdig’s malware detection is optimized for modern workloads. It focuses on file writes and execution events rather than continuous full-disk scans, reducing overhead while maintaining strong protection. This makes it well suited for containers, Kubernetes environments, and cloud workloads where performance and scalability are critical and costs can spike in the blink of an eye.

The result is effective malware detection and prevention without the operational burden of legacy scanning models.

Coverage across complex environments

Modern organizations no longer operate in a single environment, and malware detection must extend wherever workloads run. Sysdig’s cloud detection and response is cloud agnostic, delivering consistent malware detection and prevention across multi-cloud, hybrid, and distributed environments. This unified approach reduces blind spots, simplifies operations, and ensures security teams do not need separate tools or policies for each infrastructure model.

Cloud-native environments such as containers and Kubernetes are prime targets for automated exploitation and cryptomining campaigns. Sysdig protects containerized workloads by detecting and blocking malicious binaries at the moment they are written or executed, including workloads running in managed services like AWS Fargate where traditional host-based visibility is limited. The same execution-based detection capabilities extend to virtual machines and traditional hosts, whether they’re running in the cloud or in hybrid deployments, ensuring consistent runtime protection regardless of architecture.

For organizations operating across on-premises infrastructure, SaaS platforms, managed cloud services, or serverless environments, Sysdig maintains unified visibility and policy enforcement across all architectures. Even in ephemeral serverless architectures, detection strategies are tailored to monitor malicious execution attempts effectively. The result is standardized malware protection across cloud-native, hybrid, and traditional infrastructure without stitching together multiple point solutions.

The role of the Sysdig Threat Research Team for malware detection

Behind the scenes, the Sysdig Threat Research Team (TRT) drives continuous advancement in malware detection for Sysdig Secure customers. Through ongoing YARA rule development and refinement, the Sysdig TRT directly benefits customers with expertly curated detections, tuned policies, optimized rules, and high-quality intelligence feeds, all without customers having to carry the operational burden themselves. In fact, Sysdig maintains over 250,000 curated malware detection artifacts, including YARA rules and continuously updated intelligence feeds, enabling durable detection of known, polymorphic, and emerging threats across cloud-native environments

Sysdig’s threat researchers leverage YARA to design, test, and harden detections using real-world honeypot telemetry, multiple intelligence sources, and emerging threat data. This enables precise identification of malicious code patterns embedded within files and executables, including polymorphic and obfuscated variants designed to evade traditional detection methods.

The result is a continuously evolving detection engine that keeps pace with attackers’ changing tactics and techniques, ensuring customers remain protected against both known and emerging threats.

Operational impact you can measure

With Sysdig Secure’s cloud detection and response, security teams gain higher-fidelity alerts with clear malware classification and rich context at the first signal. For SOC teams, this means faster triage and greater confidence in investigation decisions. For CISOs, it means reduced operational risk and stronger runtime governance.

Backed by continuous updates from the Sysdig Threat Research Team, including over 1,400 maintained rules and thousands of enhancements, detections stay current without adding rule-writing burden to your analysts.

The result is a higher signal-to-noise ratio, fewer false positives, and faster incident triage. Instead of pivoting across tools or reverse engineering vague alerts, teams can quickly validate threats and move to containment.

Because Sysdig detects and blocks malware at write or execution time, organizations reduce blast radius and stop threats before they escalate. And with consistent protection across cloud, hybrid, on-prem, Kubernetes, virtual machines, and serverless environments, teams gain unified coverage without stitching together point solutions.

Conclusion: Built for cloud-scale threats

Malware evolved in the cloud. It is now fast, automated, and short-lived. Legacy endpoint approaches and manual rule maintenance are not enough.

Sysdig’s cloud detection and response combines execution-level detection, runtime blocking, YARA-based pattern matching, and continuous threat research to deliver cloud-native malware protection across every environment. It transforms malware detection from a reactive checklist item into an integrated, cloud-native defense capability.

The outcome is simple: faster decisions, less operational friction, and stronger runtime protection for modern cloud infrastructure.

Malware adapted to the cloud. Your defenses should too.

Learn how Sysdig can modernize malware detection across your cloud environments.