Security Operations

Secure, govern, and operationalize AI tool use.

The security risk is real and quantified. Threat vectors include: tool poisoning, tool hijacking, context leakage, indirect server hijacking, and tool shadowing. These aren't theoretical — they're the exact risks that unmanaged MCP sprawl creates.

By centralizing tool access, enforcing granular policies, and detecting unmanaged AI usage, Natoma turns security oversight into a strategic enabler — not a blocker.

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Security Value

Natoma gives security teams visibility, control, and confidence to enable AI safely across the enterprise.

Balance speed with control

Enable productive AI usage while keeping policy enforcement and tool-call-level authorization at the center.

Close gaps before incidents

Detect shadow AI, unmanaged MCPs, and risky tool usage early, then govern or block them centrally.

Integrate with existing security stack

Extend governance into CrowdStrike, EDR, SIEM, and MDM workflows with full activity telemetry.

Enforce enterprise-grade controls

Use attribute-based policies, credential governance, and audit trails to operationalize AI risk management.

Use Cases

What security teams can do with Natoma

Detect and govern Shadow AI

Find unmanaged AI tools and MCP servers quickly, then bring them under centralized policy control.

Control credentials with confidence

Support managed and BYO credential models while preserving least-privilege access by user identity.

Enforce authorization at the tool layer

Use Cedar policies to define exactly who can run which tool actions under what conditions.

Maintain forensic visibility

Track what agents did, what policy blocked, and what completed, with logs ready for investigations and audits.

Why Natoma for Security Operations?

Puts security back in the loop
Visibility into all AI tool usage
Granular access enforcement by dataset, action, and user
Centralized audit trail for compliance

Visibility across every AI tool and client.

Detect unmanaged usage and close gaps proactively. “Visibility” is the #1 priority word for security teams.

Policy enforcement without friction.

Attribute-aware access controls that scale with your organization. Define once, enforce everywhere.

Integration with existing security tooling.

Extend your policies and telemetry to the AI layer. CrowdStrike, EDR, SIEM, MDM.

Auditability from day one.

Centralized logging and forensic visibility into every tool interaction. Support audit readiness and compliance frameworks.

Ready to secure your AI deployment?

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SOC2 certified

GDPR compliant

CCPA

US Data Privacy

Also built for

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IT & Endpoint

IT organizations can integrate AI into enterprise systems safely, efficiently, and at scale — without adding operational burden.

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Business Operations

Business leaders and functional teams can unlock the value of AI without burdening IT or security.

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Developers

Stop building and maintaining custom MCP infrastructure. Connect your AI tools to enterprise systems once.

Frequently-Asked Questions

How does AI help with security incident response?

AI accelerates incident response by automatically gathering context from SIEM logs, endpoint detection tools, threat intelligence feeds, and asset databases when alerts fire, reducing investigation time from hours to minutes. Natoma enables security analysts to deploy AI agents that correlate indicators of compromise, identify affected systems, determine blast radius, suggest containment actions, and generate incident reports. This accelerates alert response by 10X while maintaining detailed audit trails.

Can AI integrate with SIEM platforms like Splunk?

Yes, Natoma provides bidirectional integration with major SIEM platforms (Splunk, Microsoft Sentinel, Chronicle, QRadar) enabling AI to query logs for investigation, while simultaneously streaming Natoma's audit events into SIEM for unified security monitoring. Security teams can ask AI to search for specific attack patterns, correlate events across data sources, and even execute approved response actions through SOAR platform integrations.

How does Natoma detect Shadow AI in organizations?

Natoma's MCP discovery feature scans your environment to identify all AI tool connections across workstations, cloud accounts, and SaaS applications. This typically finds 225+ MCP instances per enterprise that IT didn't know existed. Security teams receive a comprehensive inventory showing which employees are using what AI tools, what data they're accessing, and whether connections follow approved security policies, enabling risk assessment and governance enforcement.

What security tools does Natoma integrate with?

Natoma provides pre-built integrations with Wiz, Prisma Cloud, Snyk, CrowdStrike, SentinelOne, Okta, Azure AD, AWS GuardDuty, Tenable, Qualys, and other security platforms. These integrations enable AI to enrich alerts with asset context, query vulnerability databases, check user access patterns, analyze cloud configurations, and correlate signals across the security stack while maintaining least-privilege access and detailed audit logging.

Does Natoma provide SOC2 and ISO 27001 compliance?

Yes, Natoma maintains SOC 2 Type II and ISO 27001 certifications and provides compliance evidence including penetration test results, security policies, and audit reports to support customer compliance programs. Enterprise deployments include features required for security compliance frameworks: immutable audit logs, encryption in transit and at rest, role-based access controls, change management procedures, and incident response capabilities with defined SLAs.