Enable AI-driven SecOps.

Automate the work that slows SecOps down.

Nagomi applies AI to investigation, prioritization, and remediation so your team can focus on reducing exposure, not chasing alerts across tools.

According to SANS, Security analysts spend up to 80% of their time on manual investigation and triage.

%

Wasted time

Automate investigation across tools

Correlate vulnerabilities, assets, controls, and threats in a single workflow

Eliminate pivoting across scanners, EDR, cloud, and identity tools

Deliver a validated exposure verdict with clear reasoning

Prioritize what actually requires action

Evaluate exposure based on asset criticality, control coverage, and threat relevance

Suppress findings already mitigated by compensating controls

Focus teams on the work that reduces real risk

Drive remediation with clear ownership

Route remediation to the right team with clear guidance

Provide multiple resolution paths, patch, harden, segment, or mitigate

Continuously reassess exposure as conditions change

%

Faster time to remediate by prioritizing the top assets that drive the greatest security improvement.

FTE

Doing manual validation and cross-checking.

Use cases

  • Continuous security assurance
  • Risk based prioritization
  • Dynamic reporting

%

Reduced dashboards from 15 tools down to a single view

%

Improved control performance from immediate configuration changes

Use cases

  • Multi-entity visibility
  • Tool consolidation
  • Proactive risk mitigation

%

Improvement in EDR coverage

%

Improvement in tool utilization

Use cases

  • Exposure management
  • Control optimization
  • Executive reporting

%

Improvement in threat protection

Hours

Saved annually by automating reporting

Use cases

  • Automate asset inventory
  • Centralized intelligence
  • Dynamic reporting

Nagomi security: your questions, answered

Discover how Nagomi unifies exposures, strengthens controls, and helps teams reduce risk with context, automation, and scale.

How is AI actually used in Nagomi?

Nagomi uses AI to automate investigation, correlate signals across tools, and determine real exposure based on assets, controls, and threats. It replaces manual analysis, not decision-making, so teams get faster, evidence-backed answers.

Does Nagomi replace existing SecOps tools?

What makes Nagomi’s prioritization different from other tools?

Can Nagomi identify “toxic combinations” that increase risk?

How does Nagomi ensure actions actually reduce risk?