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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 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 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 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 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? AI for SOC teams: 5 cloud security prompts to start your day with Sysdig Sage™ Shai-Hulud: The novel self-replicating worm infecting hundreds of NPM packages ZynorRAT technical analysis: Reverse engineering a novel, Turkish Go-based RAT Modern vulnerability management, built for the cloud Build your AWS incident response playbook with open source tools 2025 Gartner® CNAPP Market Guide: Runtime visibility is no longer optional Threat hunting with Sysdig: Uncovering “IngressNightmare” Open source spotlight: From alerts to action with AI-powered Falco Vanguard From triage to action: How Sysdig’s agentic cloud security platform slashes noise and accelerates remediation The vision comes to life: Agentic cloud security with Sysdig Sage™ Data security findings: A technical deep dive Connecting runtime to source: Sysdig and Semgrep integration Fix what matters, faster: How Sysdig and Semgrep are unifying security without silos – from code to runtime Defending sensitive data with Sysdig Secure Redefining cloud security, the right way Join the movement: The Sysdig Open Source Community is live A smarter, safer cloud in the age of AI Unifying detection and response: Sysdig + Cortex XSOAR for security at cloud speed The future of security is open, and it needs a unified hub: The Sysdig Open Source Community is here CVE-2025-53104: Command injection via GitHub Actions workflow in gluestack-ui Why MCP server security is critical for AI-driven enterprises What’s new in Sysdig — June 2025 AI-powered CNAPP with Sysdig Sage™ Revolutionizing Cybersecurity Search with Sysdig Sage™ Sysdig Threat Bulletin: Iranian Cyber Threats The end of the prioritization-only era: Vulnerability management needs action Dangerous by default: Insecure GitHub Actions found in MITRE, Splunk, and other open source repositories
How agentic cloud security reduces real risks
Eric Carter · 2025-11-17 · via Sysdig Blog

Cloud attacks unfold in seconds. Threat actors already use automation and AI to move faster than security teams can respond. Traditional AI tools can summarize and prioritize mountains of alerts, but they don’t reason or take action. Agentic AI changes that.

AI is transforming how we work, from research to code generation. Yet, most AI tools were designed for convenience, not defense. Writing, summarizing, and automating tasks isn’t the same as protecting a dynamic cloud environment.

Real protection demands AI that understands context, reasons about business impact, and makes autonomous decisions.

Security teams face relentless pressure to find, prioritize, and fix risks quickly and accurately. They can’t afford to make a mistake. At Sysdig, we believe that agentic AI should work hand in hand with security teams to speed up discovering and mitigating risk in the cloud.

Cloud security demands more than what traditional AI offers

Traditional AI for security has fallen short. It doesn’t reduce the cognitive burden facing defenders at scale. Too often, AI security tools fall into one of these three buckets:

  • Chatbot-wrapped documentation: Provide access to manuals, but offers no risk triage assistance.
  • Static machine learning model: Trained on past data can leave AI tools blind to new and emerging risks.
  • Scripted playbooks: Only able to help in very specific scenarios, which can’t keep up in dynamic environments.

These AI tools may help in isolation, but they don’t ease the pressure that defenders face. With thousands of alerts and limited time, teams are left triaging instead of truly reducing risk.

Security teams don’t need another dashboard or chatbot; they need a teammate. Agentic AI works beside them, understanding context and automating the busywork so defenders can focus on strategy, not triage.

How agentic AI helps security align with business

Security has often been seen as a checkbox, a way to prove compliance, not accelerate innovation. But in reality, it’s a critical enabler of speed, trust, and business confidence. 

What organizations need out of their security is the reassurance and trust that business-critical assets and applications remain protected, help with decision-making, and not acting as a roadblock to forward progress and innovation.

When security aligns with business strategy, it becomes a growth enabler. Agentic AI amplifies that alignment. It helps secure the cloud and protect assets, freeing up the team to discover opportunities and assist in keeping the business forward-looking.

This is what makes agentic AI so powerful for cloud security. It can reduce the cognitive burden on security teams, while scaling up risk prioritization and problem-solving. Agentic AI understands the context behind an attack or risk, which enables it to determine whether this issue impacts the business and should be raised to humans.

For example, if a Linux vulnerability is discovered but the organization’s production environment runs on Windows, agentic AI recognizes the risk as non-critical and deprioritizes it. Rather than producing yet another alert for teams to spend time researching, the agentic AI lowers the risk prioritization as something for another day.

By approaching cloud security this way, teams can focus on what matters most: keeping critical workloads protected while empowering the business to move faster.

Sysdig Sage is the future of cloud security

Sysdig SageTM represents a new approach: agentic AI that understands your environment, reasons through complex signals, and acts alongside defenders.

Agentic AI shifts security teams from reactive to responsive. It reduces alerts on theoretical risks and instead surfaces risks that are real and exploitable. Security teams get the reasoning, evidence, and context behind each risk, so they understand the issue and fix it quickly.

Through multi-step reasoning, Sysdig Sage breaks down complicated tasks into smaller, more manageable steps to quickly assist defenders. For example, one agent could identify a suspicious log-in attempt, have another agent perform recursive investigation loops to determine if this activity is benign or truly suspicious, while another agent collects the evidence so human defenders can make the final judgment call.

Sysdig Sage provides audit-ready reports that contain vulnerability management metrics, so security teams can confidently communicate with the CISO and board that there is a reduction in business-critical risks.

Agentic cloud security reduces risks in real time

Limited security budgets and exhausted teams often result in poor risk prioritization and missed vulnerabilities. Agentic AI acts as an intelligent teammate that scales expertise, continuously prioritizing what’s critical and filtering out what’s not. This enables security teams to determine critical risks are categorized and prioritized while freeing teams up to focus on strategic security initiatives.

This is the future of cloud defense: faster, smarter, and built for the realities of the cloud. Download the Agentic Cloud Blueprint to learn more.