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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 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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The vision comes to life: Agentic cloud security with Sysdig Sage™
2025-08-05 · via Sysdig Blog

The cloud security landscape is under extreme pressure. Security teams are drowning in data, bogged down by noisy alerts, and trapped in repetitive tasks that don’t scale. Every day, they’re forced to choose between speed and certainty, signal and noise, risk and guesswork.

At Sysdig, we believe that they don’t have to make tradeoffs.

Cloud security — the right way — means doing things differently. Not just to accelerate tasks, but to replicate the way security experts actually think and work. This is where agentic AI comes in. Agentic AI is a new generation of artificial intelligence that isn’t about prompts that surface issues — it’s AI that thinks, reasons, and acts to help you prioritize and fix them with insights tailored to your business. With Sysdig Sage, we’ve brought this vision to life.

The real problem in cloud security

At the heart of cloud security lies a paradox: the volume of data and complexity of signals are exploding, yet most organizations still rely on manual triage and scattered tools. Every day, security practitioners must answer questions like:

  • Is this vulnerability important or not?
  • Is this anomalous activity a real threat?
  • Does this misconfiguration expose sensitive data?
  • Should we act now — or not at all?

Each of these demands human judgment. Making an accurate decision requires context that exists all across the organization. It requires someone with cross-business knowledge who can piece it all together. In practice, the process is tedious, repetitive, and distracts from the true risks. Worse still, the siloed nature of traditional security tools means detection, posture, and vulnerability signals rarely work in concert. The result? Inconsistent prioritization, delayed responses, and missed threats.

Why agentic AI is the game-changer

Generic AI tools have long promised to ease this burden. However, attempts to apply AI in security have been shallow — think chat interfaces, auto-tagging, or scripted workflows. They offer convenience, not transformation.

Sysdig is pioneering a radically different approach with Sysdig Sage. Sysdig Sage is the first fully integrated AI analyst–built for cloud security and powered by specialized AI agents. It’s not just about having AI that reacts. It’s about having AI that acts — a system that plans, reasons, and executes workflows like a real security team.

Imagine an assistant who works around the clock and:

  • Scans your environment for new security issues
  • Determines what’s relevant, risky, and exploitable
  • Controls the UI to present relevant visuals and insights 
  • Explains what matters and why — before you even ask.
  • Opens a ticket or pull request with remediation steps.
  • Checks if the issue is being addressed — and follows up if not.

Now imagine not one, but a team of AI agents — each specialized in one part of the workflow, coordinating seamlessly like a real-world team of analysts, engineers, and incident responders. 

From vision to reality: Sysdig’s agentic architecture

Sysdig’s agentic cloud security model is built around a few core ideas:

  • Decompose the workflow: Instead of a single monolithic AI, Sysdig breaks down the problem into subtasks and deploys multiple agents, each owning a domain—vulnerability correlation, environment inference, remediation tracking, detection triage, and so on.
  • Context is king: Agents understand your environment—prod vs. dev, GDPR zones, critical apps like credit card validation—and automatically infer sensitivity and risk. This semantic enrichment replaces inconsistent and error-prone manual tagging, providing an automated, accurate, and reliable approach.
  • Smart prioritization: Vulnerabilities aren’t all equal. An agent determines whether a CVE is running, exposed, loaded in memory, and relevant to your environment. Another agent pulls from web advisories to understand exploitability and fixability.
  • Unified, actionable data: All of this runs atop Sysdig’s CNAPP platform with real-time runtime visibility and a graph-based data model. It’s searchable with SysQL, designed not just for humans, but for AI to use autonomously.
  • Collaboration and autonomy: These agents operate like a team, communicating, collaborating, and coordinating. Some make recommendations. Others can take action. And increasingly, we’ll trust them to make the right calls, just like we do with humans.

Beyond vulnerabilities: A full-spectrum AI vision

While Sysdig Sage is already delivering value in vulnerability management, its architecture is purpose-built to span the entire cloud security lifecycle:

  • Posture Management: AI that continuously assesses cloud posture changes, understands which risks truly matter (and which don’t), and proactively addresses them.
  • Detection & Response: AI that sifts through endless signals, finds patterns, correlates across assets and time, and determines whether you’re seeing noise—or a real attack.
  • Compliance and CIEM: AI that tracks identity and access, detects drift, and ensures policies are enforced intelligently and automatically.

Each domain brings unique challenges, but the common thread is clear: complexity, noise, and the need for judgment. That’s the sweet spot for agentic AI.

The Future: Autonomous, trustworthy security

The vision is bold: security that doesn’t just inform but acts. From remediation to response, Sysdig Sage is evolving toward a future where agents autonomously cover critical workflows, taking trusted action at machine speed. Yes, there are challenges. Hallucinations and trust thresholds are real. But so are the gains:

  • Drastically reduced toil and cognitive load
  • Faster time to triage, response, and remediation
  • Sharper focus on what truly matters in your cloud
  • A smarter, more resilient security team — augmented by AI

In the end, the attackers are automating. Defenders need to do the same. Sysdig Sage brings a security “brain” to your cloud — always on, always learning, always working.

Welcome to the age of agentic AI for cloud security. Welcome to security done right. We’re just getting started.

To dive deeper, read the blog, How Sysdig’s Agentic Cloud Security Platform Slashes Noise and Accelerates Remediation. Ready to get up close and personal with Sysdig Sage? Watch our webinar: See the Future of Cloud Defense: Agentic Cloud Security in Action.