Training
Practical, role-based training for leaders, administrators, employees, and project teams so secure behavior and responsible AI practices become repeatable.
Explore training programs →Solutions & Resources
Practical solutions.
Measurable progress.
Staffing, training, data protection, compliance readiness, and responsible AI support for government, education, and commercial teams.
Explore our capabilities
Our Capabilities
Solutions that adapt to your organization.
Staffing
Specialized professionals for short-term assignments, workload surges, defined projects, and ongoing support within customer or prime-contractor teams.
Explore staffing services →Secure AI Adoption
Prepare data, permissions, governance, and users for responsible AI adoption while reducing oversharing, exposure, and operational risk.
Explore secure AI services →Data Protection
Discover, classify, label, protect, and govern sensitive information across enterprise collaboration systems with practical controls and remediation guidance.
Explore data protection →Data Privacy & Compliance Readiness
Strengthen privacy, retention, records, eDiscovery, policy, audit evidence, and operational readiness with requirements-mapped guidance.
Explore compliance services →Resources & Guidance · Data Before AI
Protect sensitive information before AI expands access.
Karatin helps organizations identify sensitive data, reduce oversharing, strengthen information protection, and establish practical governance before scaling AI.
Explore secure AI adoption →Understand what sensitive information exists and where it lives.
Apply practical data protection, privacy, retention, and access controls.
Reduce exposure and create guardrails before AI expands access.
Build sustainable practices through role-based training and knowledge transfer.
Common Questions
How Karatin helps organizations protect data and adopt AI responsibly.
Who does Karatin LLC serve?
Karatin supports federal agencies, state and local governments, educational institutions, prime contractors, and commercial organizations.
What does Karatin help organizations protect?
Karatin helps identify, classify, protect, and govern sensitive information while reducing inappropriate access, oversharing, data leakage, and compliance risk.
How does Karatin support secure AI adoption?
Karatin reviews data exposure, permissions, classification, governance, and responsible-use controls before AI expands access to organizational information.
Does Karatin provide staffing and training?
Yes. Karatin provides specialized professionals and practical role-based training alongside consulting, remediation, governance, and AI-readiness services.
Resources & Insights
Explore the Knowledge Center
Browse practical articles on data security, data classification, DLP, data governance, responsible AI, and related business topics.
Data Security6 curated articles and guidesData Classification4 curated articles and guidesDLP & Labeling5 curated articles and guidesAI & Data Governance6 curated articles and guidesResponsible AI6 curated articles and guides
26 resources available
Data Security Posture Management: Six Problems Hidden in Plain Sight
Six practical use cases for discovering sensitive information, excessive access, risky sharing, and unmanaged data across technology environments.
Read article →Data Governance for AI: Ownership, Quality and Access in Practice
How data owners, quality checks, access rules, lineage, and retention make AI-enabled processes more reliable and accountable.
Read article →Data Classification & Labeling: A Practical Foundation for Protection
Learn how clear data categories and trustworthy labels help teams apply consistent protections. Includes government, HR, and commercial use cases.
Read article →How Classification & Labels Make DLP More Effective
Six realistic DLP scenarios show how labels, sensitive-information detection, user guidance, and enforcement work together.
Read article →Preparing Enterprise Data for AI Adoption
Assess access, sensitive content, classification, retention, and data governance before enabling AI assistants across the enterprise.
Read article →Enterprise Data Security Readiness Checklist
A vendor-neutral checklist for identity, email, file sharing, devices, sensitive information, and administrative controls.
Read article →Data Protection Architecture for AI Assistants
Understand how identity, permissions, classification, DLP, retention, and monitoring protect information used by enterprise AI assistants.
Read article →Enterprise Email Security Health Check
Review business email systems for secure mail flow, authentication, anti-phishing defenses, and operational readiness.
Read article →Document Repository Governance Basics
Establish accountability, access, lifecycle rules, and information protection across enterprise document repositories.
Read article →Collaboration Platform Security & Governance
Control workspace creation, guest access, integrations, meetings, messaging, and lifecycle across collaboration platforms.
Read article →Risk-Based Data Loss Prevention Policy Design
Build risk-based DLP policies around sensitive information, data labels, user context, business workflows, and measurable results.
Read article →Retention and Records Readiness
Align retention controls with legal, operational, and records obligations.
Read article →eDiscovery Investigation Preparation
Prepare roles, preservation, search, review, audit access, and investigation ownership.
Read article →Information Protection Label Strategy
Build a sensitivity-label structure users can understand and consistently apply.
Read article →Insider Risk Program Foundations
Establish governance, privacy, indicators, investigation, and remediation processes.
Read article →AI Governance Operating Model
Define decision rights, controls, risk review, ownership, and operational accountability.
Read article →AI Risk Assessment Checklist
Evaluate data, security, privacy, legal, operational, and human-impact risks.
Read article →Reduce Oversharing Before AI Adoption
Reduce broad access, stale permissions, and unnecessary exposure before deploying AI assistants and connected search tools.
Read article →Identity and Zero Trust Basics
Strengthen identity assurance, least privilege, device trust, and continuous verification.
Read article →Email Security Baseline
Create a practical baseline for anti-phishing, authentication, links, attachments, and response.
Read article →Secure Collaboration Checklist
Review guest access, external sharing, meetings, files, apps, and lifecycle controls.
Read article →Evaluating a Small-Business IT Partner
Assess expertise, delivery approach, communication, risk controls, and scalability.
Read article →How to Prepare for a Capability Briefing
Structure a focused discussion around mission needs, capability, proof, and next steps.
Read article →Prime Contractor Teaming Checklist
Assess technical fit, responsiveness, documentation, risk, and opportunity alignment.
Read article →How to Build a Strong Capability Statement
Create a concise document that communicates relevance, proof, and contracting data.
Read article →Sources Sought Response Basics
Respond with evidence, acquisition insight, capacity, and relevant technical feedback.
Read article →No matching resources found
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