# Unizo > Unizo is an AI-native exposure management system. It builds Live Security Context, a live model of your environment assembled from the security and IT tools you already run, reasons over it to find the exposure paths that can lead to compromise, drives remediation to the accountable owner, and verifies closure by re-checking the environment. ## Product - [Unizo · AI-native exposure management](https://unizo.ai/): Unizo reasons over a live model of your environment to find exposure paths that lead to compromise, drives the fix to the owner, and verifies closure. - [Platform · The exposure management loop · Unizo](https://unizo.ai/platform/): Unizo runs exposure reduction end to end: investigate what matters, plan the fix, drive it to the owner who can close it, and verify closure. - [Exposure Analyst · AI reasoning on your environment · Unizo](https://unizo.ai/exposure-analyst/): The Exposure Analyst reasons from your environment, not just the prompt. It shows the evidence behind every conclusion and works within the controls you set. - [Live Security Context · The live model Unizo reasons over](https://unizo.ai/live-security-context/): Live Security Context is a maintained model of your environment that exists before the question, revealing which exposures can actually reach what matters. - [Verified Closure · Proof the root cause is gone · Unizo](https://unizo.ai/verified-closure/): What it takes for an exposure to count as closed: the standard Unizo verifies against, and the evidence it records. - [Integrations · Connect your security stack · Unizo](https://unizo.ai/integrations/): Unizo connects the scanners, cloud, identity, endpoint and ITSM tools you already run into one live model of your environment. - [Use Cases · Exposure management in practice · Unizo](https://unizo.ai/use-cases/): Unizo connects fragmented findings into exposure paths, drives each one to the owner who can close it, and verifies closure against your environment. ## Solutions - [AI exposures: what your AI agents can actually reach · Unizo](https://unizo.ai/solutions/ai-exposure/): Find AI agents, MCP servers and coding assistants across cloud and endpoint, see what their credentials reach, and drive those exposures to verified closure. - [Modernize Vulnerability Management · Unizo](https://unizo.ai/solutions/modernize-vulnerability-management/): Unizo qualifies findings against your environment, drives the ones that matter to the accountable owner, and verifies the root cause is gone. - [Operationalize CTEM · Run your program end to end · Unizo](https://unizo.ai/solutions/operationalize-ctem/): CTEM gives your program five stages. Unizo adds the sixth: a check against your environment that confirms the exposure is actually gone. - [Exposure Hunting · Find where a new CVE reaches · Unizo](https://unizo.ai/solutions/exposure-hunting/): When a new CVE drops, a Unizo Run hunts it across your environment, qualifies what is reachable, and opens the work that matters. ## Resources - [CTEM Program Guide: From Framework to Practice · Unizo](https://unizo.ai/ctem-guide/): Learn how CTEM's five stages work, why programs stall, and what it takes to turn the framework into continuous, verified exposure reduction. - [Field Notes · Exposure management from the Unizo team](https://unizo.ai/field-notes/): Sharp perspectives on exposure reduction, Live Security Context, and the shift from prioritization to proof. - [A Finding Is a Fact. Exposure Is a Relationship. · Unizo](https://unizo.ai/field-notes/a-finding-is-a-fact-exposure-is-a-relationship/): Every security tool tells the truth from where it stands. Exposure lives in the relationships between them, and a five-question test shows your context gap. - [AI That Understands vs. AI That Guesses · Unizo Field Notes](https://unizo.ai/field-notes/ai-that-understands-vs-ai-that-guesses/): New AWS research measured whether AI is right when it flags a vulnerability, not just whether it finds one. The gap is context, and how to build AI security that closes it. - [A closed ticket is not a reduced risk · Unizo Field Notes](https://unizo.ai/field-notes/a-closed-ticket-is-not-a-reduced-risk/): Closure theater: ticket closure is an activity signal, not proof the exposure changed. Why done needs a second step, and what verified closure actually checks. - [The four-second keyhole · Unizo Field Notes](https://unizo.ai/field-notes/the-four-second-keyhole/): AI security agents assemble context in the seconds after you ask, then reason over a keyhole view. Context has to exist before the prompt, not be improvised. - [From prioritization to proof · Unizo Field Notes](https://unizo.ai/field-notes/from-prioritization-to-proof/): Exposure management has to prove risk reduction. Why ranking is not reducing, and what it takes to move the finish line to proven reduced. ## Company - [Company · About Unizo](https://unizo.ai/company/): The tools were doing their jobs. The system still was not. Why we built Unizo, the team behind it, and the principles that govern how we build. - [Trust Center · Security and compliance · Unizo](https://unizo.ai/trust/): How Unizo approaches security and compliance: encryption, audit logging, deployment models, and documentation for your vendor review. - [Contact · Book a working session · Unizo](https://unizo.ai/contact/): Talk with the people building Unizo about your exposure-reduction workflow, and see how Live Security Context turns findings into verified risk reduction. - [Careers · Build exposure management · Unizo](https://unizo.ai/careers/): Security got very good at finding things. Almost nothing was built to finish the work those findings start. Two founding engineering roles open. ## Optional - [Founding Security Engineer · Unizo](https://unizo.ai/careers/founding-security-engineer/): Help define how Unizo investigates exposures, reasons about impact, and validates that risk went down. A founding role for a hands-on security practitioner. - [Founding Customer Security Engineer · Unizo](https://unizo.ai/careers/founding-customer-security-engineer/): Take Unizo into real customer environments and make it hold up there. A founding role for a deeply technical, customer-facing security practitioner. - [Founding Growth Marketing Lead · Unizo](https://unizo.ai/careers/growth-marketing-lead/): Build Unizo's go-to-market engine: the awareness, credibility, and qualified demand behind a founder-led enterprise security sale. - [Privacy Policy · Unizo](https://unizo.ai/privacy/): How Unizo collects, uses, and protects personal data through its website. Website-scoped privacy policy for Unizo Inc.