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CIS 18 Cybersecurity Framework

CIS-Aligned Cybersecurity Assessment Framework

Explore all 18 CIS-aligned cybersecurity control areas designed to help organizations identify security gaps, improve compliance readiness, strengthen governance, and build executive-ready remediation roadmaps.

18 CIS Control Areas
5 Assessment Deliverables
1 Executive Roadmap

What This Framework Helps You Identify

Governance Gaps

Unclear ownership, weak policies, missing review processes, and poor executive visibility.

Compliance Exposure

Scattered evidence, audit readiness problems, weak documentation, and cyber insurance risk.

Operational Risk

Unmanaged assets, weak access controls, limited monitoring, and slow incident response.

Control Library

Explore the 18 CIS Control Assessment Pages

Each page focuses on a specific CIS-aligned control area with risk context, business consequences, assessment outcomes, common gaps, FAQs, and a readiness review CTA.

Control 01

Governance and Operating Model

Define ownership, policies, oversight, and governance maturity.

Control 02

Risk, Compliance, and Legal Obligations

Connect legal obligations, compliance evidence, and executive risk visibility.

Control 03

Usage Policy, Intake, and Human Oversight

Control AI usage, request intake, human review, and acceptable use policies.

Control 04

Workforce Enablement and AI Literacy

Improve employee readiness, AI literacy, role-based security awareness, and safe adoption.

Control 05

Identity, Access, and Secrets

Review IAM, privileged access, secrets, authentication, and access governance.

Control 06

Data Governance and Privacy

Assess sensitive data handling, privacy exposure, retention, and classification gaps.

Control 07

Model Lifecycle and LLMOps

Review lifecycle controls, AI model governance, deployment discipline, and LLM operations.

Control 08

Prompt and System Instruction Management

Control prompts, system instructions, guardrails, and AI behavior governance.

Control 09

Knowledge Bases, Retrieval, and Vector Stores

Secure retrieval systems, vector stores, knowledge bases, and AI data access.

Control 10

AI Security Engineering and Prompt Injection Defense

Defend AI systems from prompt injection, misuse, unsafe outputs, and abuse paths.

Control 11

Agentic Orchestration and Tool Control

Govern AI agents, tools, permissions, workflows, and autonomous execution risks.

Control 12

Automation and Enterprise Integrations

Review integrations, workflow automation, API access, and enterprise system exposure.

Control 13

Vendor, Open-Source, and Supply Chain Risk

Assess third-party tools, open-source dependencies, vendors, and supply chain exposure.

Control 14

Infrastructure and Compute Readiness

Evaluate infrastructure readiness, compute environments, hosting, and operational controls.

Control 15

Observability, Logging, and Continuous Monitoring

Improve monitoring, logging, visibility, SIEM readiness, and continuous detection.

Control 16

Change Management, Evaluation, and Release

Review change approvals, release governance, evaluation evidence, and deployment risk.

Control 17

ROI, FinOps, and Performance Management

Align AI and security investments with cost control, value tracking, and performance outcomes.

Control 18

Incident Response, Recovery, and Resilience

Strengthen incident readiness, recovery planning, resilience, and executive response workflows.

What You Receive From a CIS Readiness Review

Control Maturity Review

Assess the current state of each control area and identify practical gaps across people, process, technology, and evidence.

Executive Risk Summary

Translate technical control gaps into business impact, compliance exposure, cyber insurance risk, and leadership priorities.

Remediation Roadmap

Prioritize improvements based on risk, urgency, operational impact, and implementation feasibility.

AI Governance Recommendations

Identify where AI usage, automation, data exposure, and agentic workflows require stronger oversight and policy controls.

Executive Assessment

Build a CIS-Aligned Cybersecurity Roadmap

Identify governance gaps, reduce compliance exposure, improve security maturity, and create an executive-ready plan for strengthening cybersecurity and AI risk controls.

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10–100 Employees

AI-Ready SMB Technology Stack
AI-Ready SMB Technology Stack

100–1000 Employees

Enterprise AI-First Modernization Stack
Enterprise AI-First Modernization Stack

Foundational control

Advanced control

  • Approved Business AI Platform
  • Gives employees a secure AI option instead of forcing them toward random consumer tools.
  • AI Email and Phishing Security
  • Protects against AI-enhanced phishing, impersonation, credential theft.
  • Endpoint Security
  • Secures the devices employees use to access AI tools, business systems, and sensitive company data.
  • AI Agent Security
  • Controls AI agents, phone agents, chat agents.
  • Logging and Monitoring
  • Provides visibility into AI use, data movement, file access, AI agent activity, and unusual behavior.
  • Incident Response for AI
  • Establishes a practical response plan for AI-related incidents before they become customer, legal, or regulatory issues.
  • AI Security Training
  • Trains employees on safe AI use, prohibited data sharing, AI phishing, prompt safety, reporting, and file handling.
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Foundation Layer

Execution Layer

Control Layer

Optimization Layer