It’s important to point out that most successful AI video projects are not purely created with one video generation model. Rather, a growing number of content creators are using multiple video-generation models to generate AI video content for different purposes (i.e. one model for generating creative ideas/creating storyboards, another model for optimising images or providing consistency of character performance, etc.) and integrating those outputs using post-production tools. This method of creating projects via the use of multiple models is growing in popularity in the industry today.

As a resource for creators trying to navigate the world of AI generated video content, we have compiled a list of some of the most important features from current leading AI video generators as well as the types of applications for each. This guide will provide you with the information necessary to quickly assess which AI video generator will work best for your project by considering the type of image style, the type of creative project you have in mind, and what your budget is for this project as well as to develop a more efficient method to create AI video.

Viddo AI Video Generation Model Overview

Different AI video models can provide different advantages. You can quickly reference the correlating table below in order to help you better understand their characteristics and their most appropriate applications. These models all support text to video and image to video generation. The following shows only a portion of the models; more models can be viewed on viddo.ai.

You no longer have to switch through different platforms or apps because you can use only one platform, Viddo AI. All you need to do is enter the same prompt and use the same resources to compare how different models affect the output you receive. You can also quickly select the best output based on the options available for your project/creative needs with just one click rather than several clicks on multiple platforms.

AI Video Model Explained

At this point in time, after understanding some basic AI Video Models, Let’s take a closer look at the underlying capabilities that all Video models share in common, how they perform in different applications, as well as other aspect related to them.

Hailuo 2.3

Overview

According to the company, Hailuo 2.3 has exceptional motion capabilities which makes it perfect for creating scenes with complex and fast motion. It will create more dynamic effects and keep the character and image stable when they are moving quickly and strongly.

Best For

Hailuo 2.3 is a good choice if you’re looking to create content which focuses on action/motion.  Hailuo 2.3 performs reliably well with regards to speed of movement and movement of a character’s body through complex body motions and interactions, assisting creators in achieving a greater sense of natural dynamic effects.

In addition to being a good model for action, Hailuo 2.3 has a good amount of features for creating animated and game-style content.  The visual quality of Hailuo 2.3 tends to exhibit a strong sense of power and visual tension through visual elements in the video, creating a dynamic look while also maintaining an overall style consistency across all video formats.

Tips

Hailuo 2.3 is highly effective when it comes to handling images that are in motion. It produces the best results when provided with high-quality reference images because they contain realistic visual detail so that the movements can be seen clearly and in a smooth, natural manner.

Veo 3.1

Overview

Veo 3.1 has received attention thanks to its high-quality images, timely response rate, and ability to create audio natively. It allows for quick testing of new ideas while producing high-quality output that could be used in a commercial setting.

Veo 3.1 Fast will be the best version for several rapid iterations or proof of concept work, while the standard Veo 3.1 will produce more polished/professional quality video content. Both versions also allow for start/end frame settings, allowing users to have greater control over shot transitions and the overall pace of the narrative.

Best For

Veo 3.1 is ideal for making advertisements, promotional videos of products, or branded content. Veo will give you a cohesive look while also being true to the look of your products including details.

Veo 3.1 shows strong adherence to the prompts, which makes it a very strong choice for shooting commercials, product launch videos and storyboards where you want precise control over the content of each shot and direction of the narrative.

Tips

Veo 3.1 is great for generating things out of curiosity. In most cases, having a beginning frame only gives you many more natural and movie-like results since it allows the model more leeway to create where the cameras go and how you can move from one scene to another than if the starting point was very constrained.

When combined with strong prompts, you can typically improve both the quality of the image created and keep the same quality throughout the entire project.

Omni

Overview

Designed specifically for video editing and consistency control, Omni allows you to make precise adjustments to characters, scenes, and objects while preserving the structure of original content. As such, it is ideal for creative projects that rely on visual continuity.

Best For

Omni may be a great fit if you currently hold existing assets and would like to modify and optimize those assets instead of regenerating an entire video. It’s a perfect solution for post-production, content iteration, and creative workflows where visually consistent output is important.

Tips

Omni specializes in localized editing & consistency management. By targeting isolated components of an image instead of changing an entire image drastically & attempting to achieve consistency through large changes, you can often achieve results that are far more “natural”. For example, you can frequently achieve “natural” looking results by swapping a background, changing the object, or unifying character appearances.

Seedance 2.0

Overview

Seedance 2.0 is an AI video generation model that emphasizes the narrative and continuous shooting of a video. It will keep character, scene, and visual style consistency through an entire video by providing smoother transitions between shots to create a more natural storytelling flow. For any type of video project that requires a complete storyline or transitions between multiple scenes, Seedance 2.0 is usually reliable for delivering consistent results.

Best For

If your video contains lots of footage that has a continuous storyline (e.g., characters speaking to one another, scenes transitioning, or a full story being told), then you should usually use Seedance 2.0, which will help keep the video consistent through each character and scene, thus allowing for a more complete and natural look.

Tips

It’s best to plan the order of shots and the logic for scenes before you begin filming in order to get the best narrative results. Also, using consistent character descriptions, costume specifications and scene details will help ensure Seedance 2.0 will have more visual continuity from one shot to the next. If your project has multiple scenes, shooting each segment as its own project then editing them together usually creates better results.

Kling 3.0

Overview

The key features of Kling 3.0 are its ability to tell compelling stories and provide more control over the camera. The program allows for more extended videos and multiple camera angles, giving creators the tools they need to create a better story that holds.

Best For

Kling 3.0 is an excellent tool for creating cinematic stories and developing creative works with specific shot designs.  In addition to being ideal for short films, Kling 3.0 supports multi-shot generation across multiple clips; therefore, with Kling 3.0 you can easily transition between multiple frame types, multiple perspectives within the same shot, and keep all other elements in the shot looking the same as they do in the clip.

Thus, Kling 3.0 is ideally suited for generating automated storyboards for advertising/brand video projects needing a strong/director’s vision to create a clear narrative and telling a story that is about a product or multiple locations for the same marketing campaign.

Tips

Structured shot tags help the model generate multiple shots stable across all views while maintaining a consistent overall narrative.

Control over shot will be based on positive/explicit constraints instead of negative constraints; this will increase the controllability and stability of the model when generating shots.

If an artistically specific style as a reference is wanted, then working with an artist’s reference images should take precedence over the default photo-realistic style preferred by the model.

Conclusion

Which Is the Best Model? No. Each type has its strengths with regard to visual style and motion dynamics, consistency in character and narrative capabilities. There is no one optimal model solution for all situations. The best way to create is therefore to use a flexible selection of models based on the specific project or combine different types of models to create a completed creative work.

This collaborative approach using multiple models has already become the norm.

To help you easily use and move between these models, you can also use Viddo AI, which has different AI video generation models integrated into one application. By using Viddo AI, you will be able to quickly compare the output of different video generation models from within a single workflow without switching back and forth between multiple tools to locate the video generation solution that is going to provide the best output for your project.

Mastering the White Balance Challenge

One common mistake is assuming that “white” light on an RGB strip matches the “white” paint of a chassis. Most LEDs lean toward a cool blue or a warm yellow tint. Adjusting the color channels manually helps achieve a perfect match that makes the hardware look like a single, cohesive unit.

Consider these adjustments when fine-tuning your primary light source:

• Lower the blue channel intensity to avoid a harsh, sterile clinical look.
• Increase the red and green slightly to create a warmer, gallery-style glow.
• Set a very slight pink or purple tint to give the white panels a pearlescent finish.
• Use a low-intensity white (effectively grey) to highlight shadows and give the build more physical depth.

Achieving a neutral white allows the physical textures of the GPU shroud and motherboard heat sinks to stand out. This prevents the interior from looking like a flat, overexposed blob of light in photos or during late-night gaming sessions.

Strategic Component Placement for Depth

A white case can look two-dimensional if the light is too uniform. Creating “zones” of light helps define the edges of your expensive hardware. Positioning fans and strips in specific locations creates shadows that emphasize the architectural design of the case.

Focus on these placement strategies to improve the visual hierarchy:

1. Mount LED strips behind the motherboard tray to create a “halo” effect against the back panel.
2. Place a single light source at the top-front to cast long shadows toward the rear.
3. Install vertical GPU mounts to catch light on the fans rather than the thin side edge.
4. Use frosted cable combs that catch ambient light from nearby components, creating a subtle glow that carries the color theme across the motherboard.

These techniques turn the PC into a 3D landscape rather than a simple box. The interplay between bright surfaces and dark recesses makes the internal space feel larger and more complex.

Controlling Reflections and Light Bleed

Internal reflections behave differently in white cases, as light bounces off the pale panels and hits the glass, creating more noticeable glare than in dark builds. Managing how this light escapes the chassis is the key to a comfortable viewing experience.

Use these methods to manage internal reflections:

• Angle LED strips toward the back of the case rather than directly at the glass.
• Use matte vinyl skins on the power supply shroud to kill harsh hotspots.
• Place the PC at a slight angle on the desk to minimize screen glare from the internal lights.
• Install dark-tinted glass if you prefer a “hidden” look that only reveals components when the lights are on.

Controlling the direction of the light keeps the focus on the hardware. This prevents the PC from becoming a giant lamp that washes out the colors on your monitor.

Peripheral and Environment Synergy

The PC is only one part of the visual equation. A white build usually sits on a desk that has its own lighting needs. Coordinating the internal PC glow with the surrounding environment creates a seamless transition from the hardware to the workspace.

Keep these external factors in mind for a complete setup:

1. Match the under-glow of your keyboard to the primary accent color inside the case.
2. Use a neutral white desk lamp to prevent the PC from being the only light source in the room.
3. Sync the RGB on the back of your monitor to project the same colors onto the wall behind the PC.

This creates a “bubble” of light that expands the aesthetic of the PC across the entire desk. It makes the white gaming PC the central anchor of a much larger, coordinated design.

The challenge for many organisations in Africa — and indeed worldwide — is that professional video production remains expensive, slow, and logistically complicated.

AI-driven video tools are changing that reality, and understanding how to integrate them into everyday workflows is now a genuine competitive advantage.

Bringing a Human Face to Digital Content

One of the biggest barriers to video adoption in business and education settings is the discomfort many professionals feel on camera. Not everyone is a natural presenter, and not every organisation has the budget to hire one. This is where AI-powered personalisation enters the picture. Tools that allow you to place a familiar face — your own, a brand spokesperson’s, or a licensed avatar’s — on a fully generated video body have moved from novelty to practical utility.

Pollo AI, for instance, offers a face swap video feature that lets creators produce polished, presenter-led content without a camera, a studio, or even a confident subject willing to stand in front of one.

The result is video that feels personal and direct, without the production overhead that has historically made that kind of content inaccessible to smaller teams and independent professionals.

This capability matters most when consistency is critical. A training department rolling out new compliance modules, a school distributing lesson content to students across remote areas, or a media outlet producing localised explainers in multiple languages — all of these use cases benefit from the ability to produce presenter-style video rapidly and at scale.

Why Personalisation Drives Engagement

Research in instructional design has consistently found that learners and viewers engage more deeply with content delivered by a visible human presence. A talking head — even a synthetic one — signals intent and creates a sense of accountability that a slideshow or written document cannot replicate.

For business communicators, this translates into higher completion rates for training modules, better recall of key messages, and stronger audience trust in the material being presented.

The implication for African entrepreneurs and educators is significant. If you are competing for attention in a marketplace where polished video content was previously the preserve of well-resourced organisations, AI personalisation tools meaningfully level the playing field.

Building a Video Workflow Without a Studio

Adopting AI video tools is not simply a matter of selecting a platform and pressing a button. The organisations that get the most value from these technologies are those that think through their workflow before committing to a tool.

That means asking a few foundational questions: Who is the intended audience? What format will they access the content on — mobile, desktop, or a projected classroom screen? How frequently will the content need to be updated?

Once those questions have clear answers, the next step is matching your content type to the right kind of AI video generation. Presenter-led explainers, where a virtual spokesperson walks through information against a branded background, suit different workflows than short-form social clips or immersive training simulations. Getting this distinction right saves significant time and avoids the frustration of producing content that feels mismatched to its context.

Choosing the Right Format for Your Audience

For African business and education contexts specifically, mobile-first delivery is almost always a priority. This means shorter run times, clear audio, and simple visuals that render well on smaller screens and lower-bandwidth connections. AI video platforms that allow you to customise output resolution, aspect ratio, and compression are therefore more useful in practice than those offering only desktop-optimised exports.

Integrating AI Presenters Into Your Communication Strategy

Presenter-style AI video — where a realistic avatar or personalised face delivers a scripted message — has become one of the fastest-growing categories in enterprise communication. Platforms in this space allow users to write a script, select or upload a presenter, and generate a fully produced video within minutes. Pollo AI competes directly in this space, and offers a useful alternative comparison with tools like Synthesia, a well-known platform that popularised the concept of AI presenter videos for corporate training.

Understanding what distinguishes these options helps communicators make better-informed choices rather than defaulting to whatever tool they encounter first. Pollo AI’s approach, in particular, is notable for the flexibility it gives users in terms of face customisation and the breadth of creative controls available without requiring a subscription to an enterprise-tier plan.

For media professionals producing news summaries, explainer content, or branded editorial video, this kind of tool unlocks a new production model: write a script, generate the video, edit the output, publish. The human effort concentrates on what humans do best — thinking, writing, and editing — while the technically demanding work of on-camera performance is handled by the AI layer.

Making the Transition Practical

Organisations new to AI video often make the mistake of trying to replace their entire production process overnight. A more effective approach is incremental adoption. Begin with one content category — internal updates, for example, or a single course module — and use that pilot to learn what works before scaling. Pay attention to how your audience responds. Are completion rates improving? Are staff or students retaining information more effectively? Use those signals to guide the next phase.

Training your team to write effective scripts for AI presenters is also worth investing in. A well-structured, conversational script makes a significant difference to how natural the final video feels, regardless of which platform you use to generate it.

The Broader Case for AI Video in African Business

The opportunity here extends well beyond convenience. For organisations operating across language regions, AI video tools make it realistic to produce content in multiple languages from a single script, dramatically reducing the cost and time traditionally associated with localisation.

For educators serving dispersed or underserved communities, they make it possible to deliver high-quality instructional video without the infrastructure of a traditional broadcast setup. For entrepreneurs building personal brands or marketing presence, they offer a route to video content that is professional, consistent, and sustainable over time.

None of this eliminates the need for human creativity, strategic thinking, or authentic communication. What it does is remove the technical and financial barriers that have historically prevented many professionals and organisations from communicating as effectively as their ideas deserve.

The goal, ultimately, is not to make AI-generated video for its own sake. It is to communicate more clearly, reach more people, and make your message as accessible and compelling as possible — and AI video tools, used thoughtfully, are now a legitimate means of achieving exactly that.

Starting with an ITIL® 4 Foundation Course can provide professionals with the right framework to manage change in a structured manner.

With businesses relying heavily on IT services, having a reliable ITIL Change Management process is no longer optional. It reduces risks, improves communication, and ensures that updates or transformations happen without disruption.

In this blog, we will explore seven steps to build an effective ITIL Change Management process.

1. Define Clear Objectives from the Start 

Every effective transformation begins with a well-defined goal. Even minor modifications can veer off course if there are no clear objectives.

Start by determining why the change is necessary and what outcome you hope to achieve. Are you looking to lower expenses, boost growth, increase efficiency, or decrease downtime? Stakeholders comprehend the what and the why when the goal is clear.

Setting clear goals helps teams work together, justify efforts right away, and provide easy-to-implement metrics that will help you maintain momentum and demonstrate success beyond launch.

2. Create a Change Request System 

A structured request system brings order and visibility. Informal chats and scattered emails miss details and slow reviews.

Capture the reason for the change, expected benefits, risks, resource needs, and timing in one place. Consistent intake makes decisions fair and fast. A central record reduces miscommunication, supports audits, and helps leaders compare options.

With everything documented, teams can prioritise effectively, sequence related work, and avoid delays that often arise from unclear ownership.

3. Classify and Prioritise Changes 

Changes vary in impact and urgency. Some are routine while others are critical.

Classify them as standard, normal, or emergency so you assign the right attention and resources. Prioritisation sets timelines and protects urgent work without blocking important planned tasks. Use simple criteria such as risk, user impact, and business value.

Treat each change by its risk and benefit to prevent bottlenecks, improve flow across teams, and maintain stable service levels during busy periods.

4. Conduct a Risk and Impact Analysis 

Every change has consequences. A careful risk and impact review shows how systems, users, security, and operations might be affected. Even a simple upgrade can cause issues if not checked. Assess risks before approval, document assumptions, and prepare backups. Plan for rollback if needed.

This turns reaction into prevention. Transparent risk notes also build trust with stakeholders by showing that the process is controlled, repeatable, and focused on protecting service quality while enabling progress.

5. Set Up a Change Advisory Board 

Complex or high-risk changes need multiple viewpoints. A Change Advisory Board brings experts from IT, operations, security, finance, and user groups together.

Their review checks technical soundness, compliance, and business fit. Shared approval adds credibility and reduces blind spots. It also keeps decisions aligned with strategy and real constraints.

Schedule regular sessions, track actions, and publish clear outcomes so requesters know what to refine and how to move forward responsibly.

6. Implement with Proper Planning 

Approval is only the start. Plan execution in detail to avoid surprises. Set timelines, assign owners, and define fallback options.

Communicate early so users know what will happen and when. Provide clear contact points for support.

Pilot where possible, then stage the rollout to limit risk. Good planning reduces resistance, shortens outages, and enables teams to respond quickly if something goes wrong, thereby maintaining high confidence across the organisation.

7. Review and Learn from the Process 

Do not forget the last step. Examine what worked and what did not after implementation. To identify gaps, get input from stakeholders and users. Lessons learnt should be noted and criteria should be improved for the future.

To ensure improvements last, disseminate insights widely. This fosters a culture of continuous improvement over time, whereby every modification strengthens the process, reduces preventable risk, and enables the company to deliver dependable results with less effort.

Conclusion 

Building an effective ITIL Change Management process takes structure, clarity, and commitment.

By following these seven steps, organisations can manage change with confidence while minimising risks and disruptions.

To gain the knowledge and skills needed to put these practices into action, The Knowledge Academy provides guidance through expert-led training and free resources.

Even if you have a small business, you’re not entirely safe, as data shows that businesses of all sizes are at risk, more so if they’re smaller, due to security problems. Luckily, you don’t have to shut your website down. There are some tips you can use to stay cyber safe, even among these growing scams.

Trust No One

It sounds paranoid but when you’re setting up a website that manages client data, trust no one. You should aim to set up a zero-trust policy for all staff who have access to sensitive data, which looks like a range of passkeys, encrypted sign-ins, and identity threat detection software on all workplace devices. It’s not necessarily about trust; it’s more about having constant authentication to keep files safe.

Fight Fire with Fire (Sorta)

As before, the biggest threat to online data is AI. So, to help protect your online safety, it makes sense to use AI.

There are numerous AI-operated cybersecurity systems that can keep pace with AI that’s used for hacking and scams, which use behavioral analytics of customers and website code to spot issues or irregularities. These systems often act automatically but will send alerts to you and your staff so any potential problems can be reported before they escalate into hacks or data breaches.

Secure the Cloud

Many businesses upload to the cloud and so, many attackers will get access to your data via this method. So, you need to implement Cloud Security Posture Management (CSPM), which will continually monitor misconfigurations and fix them when they occur. You should also make sure that any keys or passwords to the cloud are rotated regularly and monitor API activity to spot potential breaches.

Identity Verification

In many cases, passwords aren’t enough to keep your business information safe, especially if they’re not regularly updated.

This is why in 2026, it’s advised that you upgrade to passkeys, biometrics, hardware tokens, and even phishing-resistant multi-factor authentication, on top of rotated passwords and zero-trust policies. Email codes and SMS codes, or one-time passcodes, are, unfortunately, easy to hack and shouldn’t be trusted alone when it comes to online security.

Automate Patching

Last but not least, it’s also worth investing in some software tools for online businesses that engage in automatic patching. These programs are often autonomous, will automatically find, download, and install appropriate security systems or applications, without you or any staff member needing to upgrade them manually.

Of course, to stay on the safe side, be sure to choose these systems from a reputable company and make sure to check any systems or programs that are downloaded.

Information that falls under this category can be segregated into three categories: Personally Identifiable Information (social security number, date of birth, IP address), Law Enforcement Sensitive Information (investigation details, criminal intelligence reports), and Unclassified Controlled Technical Information (weapon manuals, test data for defense equipment).

Since CUI isn’t classified information (and therefore “easier” to access comparatively), strategic competitors and bad actors view it as low-hanging fruit. Failure to safeguard such information not only risks legal and contractual consequences but can also have real-world national security implications.

That said, have you ever wondered who is responsible for protecting CUI? This article answers this question as well as how CUI is protected and the difference between logical boundaries vs. physical boundaries.

Who Is Responsible for Protecting CUI? 

Controlled Unclassified Information (CUI) must be protected by any individual or organization that creates, processes, stores, or transmits it. Any person or organization that handles such information is automatically liable for any possible data leaks. Federal agencies, government contractors, and employees and personnel with access all fall under this category.

That said, the organization primarily responsible for protecting CUI is the National Archives and Records Administration (NARA), as stated in Title 32 of the Code of Federal Regulations, Part 2002 (32 CFR Part 2002). Specifically, the Information Security Oversight Office (ISOO) serves as the Executive Agent for the CUI Program.

Image source: Google

The ISOO develops policies, issues guidance, and oversees the implementation of CUI across federal agencies. To put it simply, the ISOO sets the standard, and agencies are obligated to follow its regulations when handling CUI.

Agencies that fail to follow these regulations may face serious consequences, including financial losses, reputational harm, or felony sentences, depending on the severity of the violation.

Who Handles CUI? 

CUI often passes through multiple organizations to complete a task, meaning it may be stored, processed, or transmitted across different systems and teams. As such, tracking who’s accountable for safeguarding the information at each stage can become increasingly difficult.

To minimize the risk of breaches, any contract that handles CUI must include a Defense Federal Acquisition Regulation Supplement (DFARS) 252.204-7012 clause, which mandates compliance with the cybersecurity standards developed by the National Institute of Standards and Technology (NIST 800-171).

Under this clause, the organization is fully responsible for protecting CUI regardless of which team member performs the work.

It also falls to the organization to confirm that subcontractors hired (cybersecurity firms, lawyers, secure printing providers, research labs, etc.) meet the requirements for handling CUI.

If a subcontractor fails to follow the procedures and mishandles CUI, they and the organization that hired them can be held accountable.

How Is CUI Protected? 

NIST 800-171 has 110 baseline controls for protecting CUI in nonfederal systems. These controls are grouped into 14 families. All 110 security controls must be implemented, with some requirements more critical than others.

You can find a detailed list of these requirements in a 114-page PDF report published by the National Institute of Standards and Technology.   Some such controls include:

• Access Control (AC): Minimizes the risk of unauthorized access, data breaches, and insider threats
• Awareness and Training (AT): Helps employees and personnel identify and respond to threats
• Audit and Accountability (AA): Requires organizations to maintain audit logs to analyze, monitor, and report unauthorized activity
• Identification and Authentication (IA): Requires organizations to have strong and unique passwords and verify the identities of users before granting access
• Risk Assessment (RA): Regularly evaluates risks to assets, operations, and individuals who handle CUI

What Are Logical and Physical Boundaries, and Why Are They Important for Protecting CUI?

Boundaries refer to the barriers organizations put in place to control, isolate, and protect information systems and data. These boundaries fall into two main categories: logical boundaries and physical boundaries.

Logical Boundaries 

Logical boundaries are non-physical, software or system-based protections that define who can access data, and how. These boundaries ensure that only authorized users and devices can access CUI, even if connected to the same network. Examples of logical boundaries include:

• Authentication systems (multi-factor authentication, role-based access)
• User access controls (who can log in, and what they can access)
• Firewalls and intrusion detection systems
• Passcodes/usernames and passwords
• Virtual Private Networks (VPN) and HTTPS connections between the client and server to encrypt CIU

Physical Boundaries

As the name suggests, physical boundaries are tangible protections that prevent unauthorized people from physically accessing systems or data.

Unauthorized personnel can’t “hack” through a physical boundary by sending malware or other techniques that may be effective against logical boundaries. They would need to physically access a building or trick someone into letting them in to access the desired information.

Examples of physical boundaries include:

• Locked doors and cabinets
• Data center cages
• Metal enclosures that protect network devices
• Badge access systems
• Conduits around critical cabling on the outside of buildings

What Are CUI Markings? 

CUI markings are labels or designations applied to documents, files, and emails to let the handler know that the content contains CUI and must be protected according to specified rules.

According to the Department of Defense, any and all unclassified documents must include the acronym “CUI” at the top and bottom of each page.

Additionally, a CUI designation indicator must be included on the first page or cover of any document containing CUI. This annotation typically consists of four lines:

1. The name of the organization that controls the CUI
2. The applicable CUI category
3. Any relevant limited dissemination controls
4. The contact information for the Designating Office or Point of Contact (POC)

Image source: Google

For example:

• Controlled by: DDI(CL&S)
• CUI Category: NNPI
• Limited Dissemination Control: NOFORN
• POC: John Smith, 707-678-8236

DDI(CL&S)/IAP refers to the Deputy Director for Intelligence (Counterintelligence, Law & Security, while NNPI (Naval Nuclear Propulsion Information) refers to a specific type of CUI related to naval nuclear systems.

NOFORN means Not Releasable to Foreign Nationals, restricting access to U.S. citizens only (even if the individual has a clearance). You can find a full list of Limited Dissemination Controls and their markings on the official DoD PDF file.

Finally, “John Smith+ number” is the Point of Contact, or someone who can answer questions or clarify information about the CUI content

Who Is Responsible for CUI Markings? 

The responsibility to mark CUI falls to the originating agency or the contractor/organization that generates or receives the CUI under a government contract. This includes:

• Employees and Contractors: Ensure that the information in the document is correctly marked and corrected. They’re trained to recognize CUI, understand safeguarding requirements, and apply the correct markings.
• Program Managers and Supervisors: Ensure that their teams understand CUI requirements and adhere to proper CUI marking protocols.
• CUI Designating Officials: Government officials who identify what needs to be marked as CUI.
• CUI Program Managers and Coordinators: Oversees the implementation of CUI protocols within their respective organizations. They develop procedures, policies, and training programs to ensure the organization complies with CUI marking requirements.
• Information Owners/Data Owners: Person or entity that decides what qualifies as CUI and who is allowed to access it. They make sure the information is marked and protected properly.

It refers to information that isn’t classified, but still sensitive enough not to be shared freely. Examples are operational plans, export control data, or personally identifiable information.

In this post, we’ll answer the key question: Which DoD instruction implements the DoD CUI program?

What Implements the DoD CUI Program?

That would be DoD Instruction 5200.48, officially titled “Controlled Unclassified Information (CUI),”  which was issued on March 6, 2020.

Again, CUI is any information that’s sensitive but not classified. And just so there’s no confusion, you can’t release CUI to the public without going through a formal review, as required by other DoD policies and manuals.

In short, DoDI 5200.48 is a formal guide on how to handle CUI. It explains who’s responsible for what and sets clear rules for how CUI should be identified, marked, shared, protected, stored, decontrolled, and destroyed.

Before this, different parts of the DoD used a patchwork of labels like “For Official Use Only (FOUO)” or “Sensitive But Unclassified (SBU).”

To establish a unified, government-wide approach to managing CUI, DoDI 5200.48 was created.

Who the Instruction Applies To

This instruction applies to just about everyone in the Department of Defense, including:

• The Office of the Secretary of Defense (OSD)
• All branches of the military (Army, Navy, Air Force, Marines, Space Force)
• The Joint Chiefs of Staff and Joint Staff
• Combatant Commands
• The DoD Inspector General (OIG DoD)
• Defense Agencies and Field Activities
• Any other organizational units that are part of the DoD

In addition, it covers any contracts, agreements, or arrangements where someone needs access to CUI.

That includes grants, licenses, MOUs, and information-sharing deals, even when they’re outside traditional DoD structures. These must follow the rules laid out in federal regulations and acquisition policies.

What CUI Is Not For

You can’t use the CUI label just to:

• Hide illegal activity or mistakes
• Avoid embarrassment
• Block fair competition
• Restrict access to info that doesn’t legally need protection (unless specifically approved by the CUI Executive Agent)

What’s in DoDI 5200.48?

Here’s what you’ll find inside the instruction, boiled down to the essentials:

• Designation and Marking: Information must be correctly marked with CUI designations, per the National Archives and Records Administration (NARA) CUI Registry.
• Training: All DoD personnel with access to CUI must complete education and training.
• Safeguarding: CUI must be stored, transmitted, and destroyed using specific procedures that prevent unauthorized access or dissemination.
• Dissemination, Decontrolling, and Destruction: When data no longer needs safeguarding, the instruction explains how to remove CUI markings and handle it accordingly.

You can view the full documentation of DoDI 5200.48 here.

Final Thoughts

DoDI 5200.48 is part of a broader federal initiative to improve how unclassified but sensitive information is managed.

So, next time someone asks what DoD instruction implements the DoD CUI program, you’ll know exactly where to point them.