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Meet Wiz for M365: Bringing SaaS into the Security Graph Bringing Security Visibility to Vercel with Wiz Axios NPM Distribution Compromised in Supply Chain Attack Tracking TeamPCP: Investigating Post-Compromise Attacks Seen in the Wild The Wiz Blue Agent, now Generally Available Beyond the Badge: What Achieving Microsoft’s Certified Software Designation Means for Your Cloud Security Introducing the Green Agent: AI-Powered Remediation for the Cloud Three’s a Crowd: TeamPCP trojanizes LiteLLM in Continuation of Campaign KICS GitHub Action Compromised: TeamPCP Strikes Again in Supply Chain Attack Introducing the Wiz Red Agent- AI-Powered Attacker Introducing Wiz AI Application Protection Platform (AI-APP) Introducing Wiz Agents & Workflows: Security at the Speed of AI AI Runtime Threat Detection: From Input to Real-World Impact Trivy Compromised: Everything You Need to Know about the Latest Supply Chain Attack It’s Official: Wiz Joins Google Understanding and Reducing AI Risk in Modern Applications Introducing Wiz Tenant Manager: Multi-Tenant Management for Federated Organizations The Agile FedRAMP Playbook, Part 4: Reactive Risk Management through Enriched Incident Response Wiz Achieves CPSTIC Certification in Spain Seeing AI Clearly: Building Visibility Across Modern AI Applications The Agile FedRAMP Playbook, Part 3: Preventative Risk Management by building Secure by Design Wiz Leads the 2026 Latio Application Security Report with awards in 4 categories Building an Agentic Cloud Security Ecosystem: A Reference Architecture with Wiz MCP and Infosys Cyber Next The Agile FedRAMP Playbook, Part 2: Proactive Risk Management with Continuous Monitoring Cloud-native Security for your Windows environment: Announcing the Wiz Runtime Sensor for Windows Would You Click ‘Accept’? Automatically detecting malicious Azure OAuth applications using LLMs Wiz Named a Leader in The Forrester Wave™: Cloud Native Application Protection Solutions, Q1 2026 From Detection to Remediation: It’s Time to Rethink AppSec Around Exploitability and Root Cause Fixes The Agile FedRAMP Playbook, Part 1: Why Risk is Your Best Starting Point Introducing AI Cyber Model Arena: A Real-World Benchmark for AI Agents in Cybersecurity
Expanding coverage with Linux runtime
Greg Zemlin · 2024-04-18 · via Wiz Blog | RSS feed

Today marks an exciting milestone as we unveil the public preview launch of the Wiz Runtime Sensor for Linux, expanding coverage of threat detection and response for cloud workloads. 

The rapid pace of innovation in cloud-native applications has introduced novel attack vectors, posing challenges to conventional threat detection tools not specifically built for the cloud. As a result, cloud defenders often find themselves struggling with manual investigations to bridge these gaps. Traditional tools, while effective at monitoring workload activity, often lack the contextual insights necessary for understanding the full impact of threats — leaving defenders without answers to difficult questions like which resources were accessed and which access keys might have been compromised. 

Moreover, attackers' actions in the cloud span numerous layers, from the infrastructure control plane to Kubernetes control planes and individual workloads. This complex architecture further complicates efforts to piece together the puzzle of cloud-native attacks, hindering the ability to detect and respond quickly. 

With the expanded coverage of the Wiz Runtime Sensor, organizations can now bolster their defense mechanisms by detecting and contextualizing threats affecting their cloud workloads in real-time. This lightweight eBPF-based agent, deployable on any Linux host, offers unparalleled visibility into running processes, network connections, file activity, system calls, and more — empowering organizations to swiftly identify and neutralize malicious behavior. 

Key features of the Wiz Runtime Sensor

  1. Custom Runtime Rules and Response Policies: Users can create custom detection rules, evaluated in real-time on the sensor to inform responses ranging from informational alerts to automated blocking of known malware and malicious processes. 

  2. Real-time Monitoring and Detection: Wiz ensures comprehensive coverage against known and emerging threats, including cryptocurrency miners, ransomware, remote shells, and various techniques employed by threat actors. 

  3. End-to-End Visibility into Attacks: By correlating threats across workload runtime signals, cloud activity, and audit logs, Wiz furnishes defenders with a unified, contextual view — facilitating swift response and mitigation. 

  4. Built-in Detections for Cloud-Native Attacks: The Wiz Threat Research team continuously updates the detection engine with rule sets targeting the latest cloud and Kubernetes attacks. 

  5. Enhanced Risk Prioritization: Leveraging runtime workload signals, Wiz enriches its agentless vulnerability assessment, enabling security teams to prioritize remediation efforts effectively. 

Traditional, disjointed approaches often yield disconnected alerts, making it next to impossible to identify sophisticated cloud-native attacks. Wiz shows the blast radius of these attacks, giving organizations the insights needed to mitigate risks effectively. 

Existing Wiz customers will find familiarity in our unified approach, which extends beyond post-breach analysis to proactive risk reduction. By consolidating prevention and real-time detection capabilities, organizations greatly improve their overall security posture, while simplifying their security infrastructure. 

With Wiz, organizations can navigate the complexities of cloud security with confidence, armed with unparalleled visibility, contextual insights, and real-time threat detection and response — all within a single, cohesive platform.