Agentic AI

Secure AI agents with scoped, compliance-ready controls.

Scoped data flows help protect CUI, PHI, and client records.

Role-based access and login auditing support accountable use.

Policy templates and documentation keep adoption controlled.

DLP, encryption, and SOC response strengthen protection.

Dashboards, SSP support, and POA&M tracking improve readiness.

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Trusted Guidance for Complex Compliance Decisions

Practical support for organizations that need AI innovation and accountable protection.

Agentic AI Secured Before Sensitive Data Is Exposed

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What Agentic AI Security and Governance Includes

Scoped controls for safe AI adoption

AI Scope Review
Control AI data exposure

Agentic AI readiness starts by defining what the AI agent is allowed to do and what data it can access. That includes mapping CUI, PHI, financial records, legal files, or other sensitive data paths before controls are implemented.

This scoping-first approach helps reduce unnecessary cost, limit exposure, and create a defensible compliance boundary for AI-enabled workflows.

Identity Controls
Keep access accountable

AI agents often need access to email, documents, cloud apps, or business systems. Without identity controls, that access can expand beyond the original business need.

Controls such as MFA, role-based access control, privileged user management, and login auditing help keep AI activity accountable, reviewable, and aligned with your operational risk tolerance.

Data Protection
Protect regulated records

Agentic AI can create, move, summarize, or act on sensitive information. Data protection must be built into the workflow before automation is trusted with regulated records.

Cyber Security Solutions supports encryption, DLP, cloud security, email protection, endpoint security, and secure remote access controls that help reduce the chance of accidental disclosure or uncontrolled sharing.

AI Policy Support
Document approved AI use

Regulated organizations need written policies that explain how AI can be used, what data is restricted, who approves access, and how exceptions are handled.

Documentation support can include policy and procedure templates, risk assessment outputs, acceptable use guidance, SSP updates, POA&M items, and evidence needed to show AI governance is not being handled informally.

SOC Monitoring
Monitor AI-driven activity

AI-enabled workflows should be monitored like other business-critical systems. Suspicious activity, unusual access, endpoint behavior, and identity events need a response path that does not rely on someone noticing manually.

Managed EDR/XDR with 24/7 SOC response, DNS filtering, threat prevention, patch management, and device hardening help support ongoing protection as AI use expands.

Compliance Evidence
Support audit readiness

Agentic AI adoption should support compliance readiness, not create gaps that appear during an audit or assessment. Controls and evidence need to connect back to the frameworks that apply to your business.

Support can include compliance dashboards, mock assessment preparation, documentation review, security awareness training, and concierge guidance for organizations working toward CMMC, NIST, HIPAA, GLBA, or related obligations.

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Proven Security Coverage for AI-Ready Organizations

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Illustration showing the balance of deploying Agentic AI while maintaining compliance control in business operations.

Deploy AI Agents Without Losing Compliance Control

Turn AI Automation Into a Governed Security Program

Agentic AI security should be managed as an operating model, not a one-time configuration. Buyers need to know which AI workflows are approved, which data is restricted, and how activity will be monitored over time.

  • Define the AI use case, compliance boundary, and sensitive data paths before implementation.
  • Map access to CUI, PHI, financial records, legal files, or regulated client information.
  • Apply role-based access control, MFA, login auditing, and privileged user management.
  • Use DLP, email encryption, cloud security, and endpoint protection to reduce exposure.
  • Document AI policies, procedures, risks, and remediation items for compliance evidence.
Diagram illustrating how Agentic AI integrates into a governed security program for AI automation.
Illustration depicting AI readiness strategies aligned with real compliance requirements in the context of Agentic AI.

AI Readiness Built Around Real Compliance Requirements

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