Continuous control
over
your exposure.
Exposure forms where controls drift, coverage breaks, and disconnected tools leave gaps behind. In the age of AI, exposure compounds faster than teams can fix it.
.
Nagomi’s Agentic Exposure Ops Platform closes that gap.
Every signal across assets, controls, threats, and vulnerabilities connected.
Every exposure investigated.
Every fix completed and verified. Continuously.
“We spent years collecting exposure data that lived in dashboards and required manual stitching. Nagomi turned that into operational context across teams. The biggest shift is speed and alignment. Exposure now integrates into security operations, helping us prioritize response and verify fixes at scale. This isn’t another visibility tool, it drives remediation that actually holds.”
Iain Paterson CISO, WELL Health Technologies
“Nagomi gives us a central control point so specialists and operations teams can see risks, act quickly, and cut turnaround time.”
Lars BrunsgårdCISO, Topsoe
“Nagomi was a wake-up call. It shows us exactly where coverage is missing and gives me the confidence to explain risk to the board with real data.”
Matthew Mudry CISO, Home Serve
“Nagomi enables proactive management without waiting for alerts, ensuring we get full value from our security investments.”
Tanner Randolph CIO & CISO, Applied
“We went from four separate views of risk to one shared picture of exposure. That changed how fast we could move.”
Director of VM, large hotel chain
INTRODUCING AGENTIC EXPOSURE OPS
The operating model security can run and the business can see.
Agentless APIs connect Nagomi to the security stack you already run. Signals from controls, assets, vulnerabilities, and threat intel flow into one model. From there, the loop runs continuously across detection, investigation, remediation, and verification.
Built on coverage.
See your entire attack surface.
Every control, policy, configuration, vulnerability, and threat signal mapped to the assets they impact. Nagomi continuously correlates telemetry across your stack to create a live operational model of the environment. Coverage gaps, control drift, exploit activity, and exposure relationships surface continuously, giving teams operational context instead of disconnected findings.
Investigated continuously.
Operationalize remediation.
When a new CVE drops, a control drifts, or threat intel shifts, the agent opens a case. It validates the exploit, checks patch state, confirms coverage, scopes the blast radius, and assembles the evidence. The output is a prioritized verdict with reasoning attached, routed into the workflow the operation already runs. When the ticket closes, the agent verifies the fix on the next scan. If exposure resurfaces, a new case opens. The loop runs continuously, across every asset.
Governed by evidence.
Demonstrate security progress.
Every signal, case, ticket, patch, and verification logged as evidence. Exposure reduction tracked over time. Coverage gaps quantified by asset class, business unit, and control domain. Remediation SLAs measured against actual closure, not assumed closure. The board gets a defensible view of the program. Security gets credit for work that used to disappear into tickets.
Real outcomes from real environments.
Exposure Assessment Platforms
Awards
Nagomi security: your questions, answered
The what, the how, and the why behind Exposure Ops.
What is Exposure Ops?
How does Nagomi build a real-time inventory of all our assets, even across siloed tools?
Nagomi integrates with over 200+ leading technologies using read-only API connections to unify data from your entire security stack into a single, comprehensive view. This integration enables the creation of an accurate, real-time asset inventory, allowing agents to continuously assess and evaluate your defenses against evolving threats.
How does the platform work?
Nagomi connects via read-only APIs and unifies assets, vulnerabilities, misconfigurations, and threat intelligence into one view. AI agents continuously investigate changes, qualify real exposure, and deliver cases with root cause, business impact, and a recommended fix path.
What do the AI agents actually do?
Agents trigger automatically when conditions change. A new CVE, a drifted configuration, a control gap, a threat intel update. They run the full investigation: check exploitability, validate compensating controls, query asset context, and determine whether real exposure exists. What is not real gets filtered out with a documented reason. What is real becomes a qualified case with ownership assigned and remediation initiated. You set priorities. Agents handle the rest.
How do you determine if an exposure actually matters in my environment?
How do you account for compensating controls?
How is Nagomi different from vulnerability management tools?
VM and RBVM tools find and prioritize vulnerabilities. They stop at the list. Nagomi evaluates whether defenses actually cover each exposure, investigates the conditions around it, drives remediation, and verifies the fix holds.
How does Nagomi’s Automated Security Control Assessment work?
Does Nagomi replace my existing security tools?
Who is Nagomi built for?
Eliminate
exposure. Continuously.
