Data Security. Responsible AI. Compliance. Training.

Introduction

We help organizations protect sensitive data and adopt AI with confidence.

Karatin brings data security, compliance, AI governance, and practical training together in one focused engagement.

• Data Security & Compliance: Discover, classify, label, protect, and govern sensitive information.
• Responsible AI Adoption: Establish readiness, guardrails, accountability, and safe-use practices.
• Training & Enablement: Build role-based knowledge that makes secure behavior repeatable.

Data Before AI

Secure the data foundation before expanding AI.

• Sensitive information may be broadly accessible.
• Sharing practices may exceed business need.
• Unstructured data may lack classification or ownership.
• Retention and compliance rules may be inconsistently applied.
• Employees need clear guidance for responsible AI use.

Goal: Know what data exists, who can access it, and how it should be protected.

Data Security & Compliance

Protect sensitive information throughout its lifecycle.

• Sensitive-data discovery and classification
• Information protection, labeling, and handling rules
• Data Loss Prevention policy design and improvement
• Retention, records, and data-lifecycle management
• Privacy, audit, eDiscovery, and compliance readiness
• Risk assessments, control-gap analysis, and remediation guidance

Outcome: clearer data ownership, stronger controls, and practical evidence of readiness.

Responsible AI Adoption

Adopt AI with governance, guardrails, and confidence.

• AI readiness and use-case assessments
• Data exposure, oversharing, and permission-risk reviews
• AI governance frameworks and acceptable-use policies
• Responsible AI controls, roles, and decision accountability
• Pilot planning, risk tracking, and adoption guidance
• Ongoing monitoring and governance improvement

Outcome: productivity gains with protected data, clear accountability, and lower risk.

Training & Enablement

Training makes secure behavior repeatable.

• Leaders: AI governance, risk ownership, oversight, and decision responsibilities.
• Administrators: Data-security controls, policy operations, investigation, and reporting.
• Employees: Sensitive-data handling, responsible AI use, privacy, and safe collaboration.
• Teams: Role-based workshops, tabletop scenarios, readiness sessions, and job aids.

Data & AI Readiness Assessment

Turn assessment findings into sustainable action.

• Discover: Confirm priorities, use cases, and data concerns.
• Assess: Review exposure, sharing, controls, and governance.
• Prioritize: Rank risks by mission impact, urgency, and effort.
• Deliver: Provide findings, roadmap, and stakeholder briefing.
• Design: Define controls, governance, learning objectives, and success measures.
• Enable: Implement prioritized improvements and deliver role-based training.
• Sustain: Measure adoption, review risk, and strengthen governance over time.

Deliverables: risk summary • prioritized recommendations • implementation roadmap • leadership briefing

Why Karatin

Specialist focus enables sustainable adoption.

• Data-Before-AI: Examine data exposure and governance before AI expands access.
• Control-to-Outcome: Connect recommendations directly to business and mission risk.
• People-in-the-Loop: Build training into delivery—not as an afterthought.
• Clear Communication: Give leaders direct findings, priorities, and next steps.
• Sustainable Governance: Design controls and policies for ongoing ownership.

Contracting Information

Begin with a focused data and AI discussion.

• Legal Name: Karatin LLC
• UEI: EJGLFLLKUKK8
• CAGE: 23FF5
• Business Status: Small Business
• Location: Frisco, TX
• Email: info@KaratinLLC.com
• Phone: (469) 269-0784
• Website: www.KaratinLLC.com