Continuously map your cloud, connect vulnerabilities and misconfigurations to real reachability and attack paths, and give your team a clear answer to what should be fixed first across AWS, Azure and GCP.
Scanners surface vulnerabilities and misconfigurations by the thousands. But a severity score alone does not tell you whether a weakness is reachable, chained to other exposures, or sitting on a critical asset. Your team is left stitching that context together by hand.
Scanners surface vulnerabilities and misconfigurations by the thousands. A severity score alone does not tell you whether a weakness is reachable, chained to other exposures, or sitting on a critical asset.
Cloud teams bounce between asset inventories, scanner consoles, configuration findings, tickets and spreadsheets just to answer one question: what can actually hurt us?
The result is a queue where high-severity noise competes with the few weaknesses that can form a real path to impact.
The Cloud Security Teammate connects cloud assets, exploit intelligence, reachability, configuration risk and attack paths, so your team can focus on the exposures that matter first — instead of treating every high-severity finding as equally urgent.
The Cloud Security Teammate shows your team what you own, what is truly exposed, how an attack could progress, and what to fix first—while continuously improving posture between audits.
Build one continuously updated picture of your cloud estate, so every downstream risk starts with the right asset, the right criticality and a named accountable person.
Stop treating “public” as “reachable.” The Teammate evaluates the network facts that make a path real, then keeps uncertainty visible instead of silently suppressing it.
Understand how vulnerabilities, misconfigurations and exposure combine into an infrastructure attack path — and identify the pivotal weakness that makes the path dangerous.
Move beyond severity-only queues by combining real-world exploitation intelligence with the criticality and ownership of the affected asset.
Continuously assess configuration, map findings to the frameworks you select, and track how posture changes over time — so drift is visible before it becomes an audit-time scramble.
The Cloud Security Teammate sits above the tools you already use. It adds the context and correlation needed to turn posture data into a working security queue.
Connect AWS, Azure and GCP account hierarchies agentlessly. Bring in the scanners and security data you already use.
Create a canonical asset picture with ownership, CIA criticality, vulnerabilities, configuration state and exposure context.
Evaluate reachability, enrich exploitability, and connect findings into infrastructure attack paths and blast-radius context.
Prioritize the work, attach remediation guidance, route it into the tools your teams already use, and track posture over time.
You do not need a rip-and-replace project. Start with a defined cloud scope, connect the data, and use the first prioritized findings to prove value before expanding.
AWS accounts and organizations, Azure subscriptions and management groups, or GCP projects and folders.
Bring the vulnerability data you already own into one normalized view.
Confirm who owns the assets and which systems matter most to the business.
Start with reachable, exploitable, business-relevant findings and route remediation into existing workflows.
See how Secure.com's Cloud Security Teammate turns cloud posture data into owned, explainable, prioritized action across the cloud stack you already run.
Agentless OnboardingWorks With Existing ScannersOwner on Every Finding