In the new frontier AI era, models can autonomously discover vulnerabilities and generate working exploits, shrinking the window from discovery to exploitation to only hours. This creates a gap in how organizations need to manage patching and remediation- a process that once allowed teams time to triage, identify ownership, and then find the root cause has shifted to now requiring their remediation to be as fast as AI.
This shift demands that organizations adopt a new operating model for AI threat readiness. A model that enables security and vulnerability management teams to defend at machine-speed to keep up with AI exploitation. We introduced a framework that helps organizations achieve that in our AI Threat Readiness blog and the How Wiz Helps blog.
We are excited to make it even simpler for security and vulnerability management to keep up with AI scale and speed with the new Exposure Management Dashboard. Built to help teams operationalize this threat landscape shift, this one-stop shop is designed to turn the noise of thousands of alerts into a clear, actionable plan, ensuring your defense stays one step ahead of AI speed.
Because frontier AI models can weaponize flaws in a matter of hours, traditional Vulnerability Management (VM) is facing two primary challenges:
The velocity gap: If an adversary exploits a flaw in minutes but your patching cycles still run on weekly or monthly cadences, it creates a critical security gap.
Vulnerability volume: AI uncovers new vulnerabilities at unprecedented scale. When the volume of alerts skyrockets, teams face severe vulnerability fatigue-leaving them unsure of what a real priority is.
Exposure management addresses these challenges by shifting the focus from isolated vulnerabilities to exposure risks that represent attack paths with validated impact. Exposure Management is rooted in a Continuous Threat Exposure Management (CTEM) strategy, which moves the focus from a reactive, slow cycle of patching to a proactive, business-led strategy that continuously scopes, prioritizes, and validates the attack paths that actually matter to your organization. This ensures that even as AI breaks things faster, teams are fixing the things that actually matter, faster.
To truly stay ahead of AI threats, we need to respond at machine-speed. This is where AI-powered Exposure Management helps teams identify, assign, and remediate risks leveraging specialized agents.
By embedding intelligent platform agents across the entire CTEM lifecycle, teams can automate and scale risk identification, exploitability validation, risk assessment, and remediation processes. For example, an AI-pentester agent can help organizations stay ahead of attackers by leveraging AI to uncover complex vulnerabilities at AI speed and scale. On the other side, a remediation agent helps accelerate risk investigation, root cause analysis, ownership mapping, and the fastest path for resolution. Leveraging AI ensures your defense keeps up with the speed of an AI-driven threat.
The new Exposure Management Dashboard gives teams a single pane of glass into their risk posture structured around the core stages of the CTEM lifecycle. It transforms siloed security data into an actionable, step-by-step pipeline for exposure reduction powered by our platform agents to prioritize and respond at machine-speed:
Scoping: Complete visibility across your entire attack surface
Before you can defend your environment, you have to know what assets you have and understand your attack surface. The dashboard maps all covered assets across your footprint- spanning cloud environments, code repositories, on-premise servers, AI workloads, workstations, identities, SaaS, and more. Wiz gathers this comprehensive inventory natively through our cloud and code scanners, while seamlessly ingesting data from your existing third-party scanners via Wiz UVM.
Discovery: Identify all the security risks across your environment
Once your footprint is scoped, Wiz surfaces every underlying risk across your environment. This includes infrastructure vulnerabilities (cloud and on-prem), code vulnerabilities via Wiz Code and ASPM integrations, pen-test findings, cloud misconfigurations, exposed secrets, sensitive data findings, and more. This unified view ensures you understand the complete risk profile of your modern environment all in a single, unified place.
Prioritization: Focus on the risks that matter with context
Once your risks are discovered, Wiz helps you prioritize which risks you need to focus on versus which ones are just noise. Wiz evaluates how different risks combine across your environment to create an attack path with true business impact on the Wiz Security Graph. The prioritization stage provides you with the Wiz Issues that represent these attack paths, allowing you to cut through the noise of thousands of alerts and focus your efforts to make impactful risk reduction.
Validation: Verify exploitable attack paths from the attacker’s view
To further refine your focus, validation helps you see which attack paths are proven to be exploitable from the outside, giving you the attacker’s perspective. Validation is done with Wiz ASM and with the Red Agent- our AI-powered pentester- to test your environment for exploitable risks from the outside, leveraging AI to uncover complex, logic-driven vulnerabilities at AI scale and speed. Wiz then correlates this external scanning with your inside cloud environment context, helping you see exactly which risks are validated from the outside so you can remove them before attackers find them.
Remediation: Fixing at AI speed and driving continuous risk reduction
A machine-speed defense is only as good as its ability to fix problems. In the Remediation stage, you can track your team’s posture improvements and issue resolution over time against established SLAs. This stage is supercharged by the Wiz Green Agent, an AI-powered investigation and remediation engine. The Green Agent automatically conducts root-cause analysis and ownership mapping to give you the safest and most efficient path to resolution. You can scale this with Wiz Workflows that enable you to automate repeatable response processes-for example, automatically triggering a Green Agent investigation on critical Wiz Issues and opening a Jira ticket assigned to the right developer.
By aligning your security operations with the CTEM framework and backing it with AI agents, you can focus your efforts on the risks that matter and drastically reduce MTTR to stay ahead of AI threats. The Wiz Exposure Management dashboard, now in Public Preview, delivers a unified home to ensure modern threat readiness. It ensures that even as AI accelerates the discovery-to-exploitation window, your team is identifying, prioritizing, validating, and remediating the risks that actually matter- at machine speed. Get started now by enabling the Exposure Management dashboard in Wiz Preview Hub. Want to see this live? Set up a live demo with our team.
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