Security Has Hit an Inflection Point
Build cycles used to take months. Now they ship in minutes. Cloud environments never sit still. And AI is speeding up everything-how we build, how we're attacked, and how we defend.
Across every team, three forces are reshaping security:
- AI is changing how we build: It's embedded into products and workflows, which reshapes how code, data, and infrastructure must be secured.
- AI is changing how we're attacked: Threat actors use it to find and exploit weaknesses faster than before.
- AI must change how we defend: Security has to match that pace with intelligence, not just automation.
At Wiz, the stance is simple: security has to be as dynamic and intelligent as the environments it protects. With intent, AI amplifies human expertise. It turns noise into signal so teams stay ahead of risk instead of chasing it.
Data First: The Graph Is the Foundation for Trusted AI
Every strong AI system starts with strong data. Without it, even advanced models produce noise. The Wiz Security Graph is that foundation.
It unifies and normalizes signals across identities, workloads, configurations, and data-then layers in runtime signals and code-to-cloud lineage to show how everything connects. This isn't just collection; it's context creation.
The Graph captures how resources interact, who owns them, and what those relationships mean for engineering and security. Because AI is limited by the quality of its data and knowledge, this Graph gives teams a clear advantage: clean, connected, and explainable inputs that drive accurate reasoning. The result is faster insight, less manual stitching, and higher confidence in every decision.
If we rebuilt the platform in an AI-first world, we'd start with the Graph again. It's always been the heart of the product-and now it fuels a new tier of trusted, intelligent security.
Transparency: Act With Confidence
AI earns trust when it can be explained. In security, that's not optional. Teams need to see why a recommendation was made before they act.
Transparency sits at the core of Wiz AI. Every recommendation, correlation, and priority comes with clear reasoning: what data points were connected, why they matter, and how they shaped the outcome. Inside the platform, you can inspect context, review evidence, ask Mika AI to explain findings, and get step-by-step remediation guidance that makes the "why" and "how" obvious.
This level of visibility turns AI from a black box into a teammate. Speed only matters when you trust the direction.
Actionability: AI That Strengthens Every Stage of Security
Understanding without action doesn't help. Wiz AI links every risk to its owner, impact, and best path to resolution-so teams move fast with clarity.
Specialized AI Agents span the full lifecycle-from code and build to cloud and runtime. Each Agent draws from the Security Graph, combines deep context with explainable reasoning, and delivers outcomes that matter.
Risk Agents - Proactive Security: Anticipate and Act
Stop risk before it turns into exposure. Risk Agents continuously connect insights across code, cloud, and runtime to highlight what truly matters. They go beyond detection to drive resolution-completing investigations, comparing remediation paths, and selecting the most efficient fix for your setup.
They can initiate actions when appropriate, perform root-cause analysis, remove exposure, and identify or suggest the right owners. This enables the "Zero Critical Club," so teams focus on issues that impact the business and cut the noise.
Threat Agents - Reactive Security: Respond With Clarity
Wiz reduces analyst load and lifts the signal. Threat Agents automatically triage alerts at scale-validating severity, correlating attack paths, and producing an explainable report your SOC can trust. The outcome: faster investigations with transparency at every step.
Together, these Agents create a continuous loop-preventive, proactive, and reactive-grounded in a single, unified model of your environment. The first releases are live: the Issues Agent accelerates proactive remediation by connecting findings, ownership, and context; the SecOps Agent speeds investigation by correlating alerts, workloads, and data into reports your team can act on instantly.
Code Agents - Preventive Security: Build Securely
Security should start where the code starts. Wiz Code's AI helps teams catch and fix issues early in development. Coming soon, Code Agents will auto-triage findings, filter false positives, and provide confidence scores that AppSec teams can rely on.
They'll suggest secure fixes directly in pull requests so developers can act quickly. Backed by code-to-cloud context from the Security Graph, Code Agents keep developers in flow and turn findings into fixes.
Quality Is What Endures
AI is becoming the center of security. Everyone will use it-but not every system will be worth trusting. Speed and scale matter less than the quality of the intelligence behind them.
That's why Wiz is built on strong data from the start. Data quality, transparency, and actionability guide everything we ship. When intelligence is built on quality, it doesn't just automate-it amplifies the team. It brings accuracy, adapts to how you work, and turns complexity into progress you can measure.
What You Can Do Next
Want to see trusted, explainable AI in action? Explore the first AI Agents in your Wiz Preview Hub or try AI-powered flows like Mika AI inside the platform.
For additional context on industry standards, see the NIST AI Risk Management Framework and MITRE ATT&CK.
If you're growing AI skills across security, engineering, or IT, browse curated learning paths by role at Complete AI Training.
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