Copyright and AI-Generated Images and Videos: What Businesses Need to

Copyright and AI-Generated Images and VideosKnow to Stay Legal

Artificial intelligence (AI) tools are reshaping content creation. It is now easier for businesses to produce images and videos for use on websites, social media, and other digital outlets. All this is possible without the traditional hurdles of expensive photoshoots, special design skills, or complex video production. However, as exciting as it is, business owners must pose and confront the question of whether these AI-generated images and videos are legally safe for commercial use from a copyright perspective.

Understanding AI-Generated Content and Copyright

AI-generated content is created by training algorithms with massive datasets of existing images, videos, and text. The AI models then analyze patterns from the training data to generate new content. However, issues arise concerning the ownership of the generated content. Without clear legal guidelines, the ownership of AI-generated images and videos remains a gray area that leaves businesses and individuals vulnerable to potential disputes.

Most jurisdictions, including the United States and the EU, deny copyright protection to work purely generated by AI as it lacks human authorship. The U.S. Copyright Office stated that only content with human creative input can be eligible for protection. In its January 2025 report, the U.S. Copyright Office also states that copyrightability must be assessed on a case-by-case basis.

Laws differ globally. For instance, while the U.S. copyright office has rejected applications for AI-generated content, the U.K. allows copyright when a significant human intellectual effort guides the output.

Copyright laws do agree that a business risks infringement claims if AI-generated content resembles existing copyrighted material. So far, there has been a surge in the number of copyright lawsuits because of generative AI. A good example is Getty Images sued Stability AI, alleging its Stable Diffusion model copied millions of Getty’s photos without permission.

Generally, despite the efforts made to develop copyright laws for AI output, unlike content created by humans, there still lacks a clear legal framework for ownership and usage rights. For one, laws and legal frameworks struggle to keep up with the speed at which AI technology advances. This means that currently, no definitive, globally recognized legal standards firmly establish the copyright status of AI creations. For a business, although using AI visuals is not inherently legal or forbidden, it is best to be cautious and take due diligence.

Best Practices Every Business Owner Must Keep in Mind

  1. Read the terms of service (TOS)
    Every AI image and video generator has its own unique terms of service. Therefore, it is crucial to examine these terms carefully. Specifically, look for clauses that address issues such as commercial usage, ownership, indemnification, and TOS change policies.
  2. Understand model releases
    This especially applies where the AI-generated images may include recognizable human faces. In the same way that there are rights of publicity and privacy in traditional photography of human models, consider if this also applies to AI-generated faces.
  3. Documentation
    It is crucial to keep a record of each generated AI visual asset. Keep information such as AI platform used, prompts used, date of creation, TOS at the time of creation, and modifications made to the generated visual.
  4. Consider using well-established platforms.
    Although there is no AI platform that offers a 100 percent guarantee of copyright safety, it is safer to lean toward well-established and respected AI generators. Also, platforms trained using licensed or public domain data should be considered.
  5. Adopt the “human-in-the-loop” approach.
    This involves edits such as text overlays, color adjustments, or storyboarding. AI-generated content can be used as a starting point or for inspiration, but it is modified and refined by human designers. This results in a blend of AI assistant and human creative input to potentially mitigate copyright concerns.
  6. Seek expert legal counsel.
    When dealing with content that is central to a business identity, such as branding or major marketing campaigns, it is critical to seek guidance from an attorney specializing in intellectual property law.
  7. Stay informed
    Copyright law in the age of AI is not static; it is actively evolving. It is important, therefore, to commit to staying informed about legal developments, court rulings, and evolving practices. Business content strategies and practices also should be adjusted as the legal landscape changes.

Embrace the Future of Visuals Responsibly and Legally

The transformative power of AI to generate stunning visuals is promising to revolutionize business marketing and communication. However, business owners must approach this technology with a balanced perspective. That is, embracing its potential while avoiding copyright infringement, ensuring ethical content creation, and effectively safeguarding intellectual property assets.

Why Your Business Needs a Vertical AI Agent: Top Benefits for Niche Markets

Why Your Business Needs a Vertical AI AgentThe rise of artificial intelligence (AI) is continuously transforming how businesses operate, offering opportunities for efficiency, innovation, and growth. However, in an increasingly competitive landscape, businesses seek solutions tailored to their specific industries. To meet this demand for more tailored tools, vertical AI agents are emerging as key to staying ahead in the age of specialization.

What are Vertical AI Agents?

Vertical AI agents are designed to solve specific problems within industries in areas such as finance, retail, and healthcare. This differs from horizontal AI, which provides general capabilities across various sectors. Horizontal AI cross-functional applications such as marketing automation are applicable across different sectors. These horizontal AI solutions were witnessed in the early days of AI, when companies like Google, Microsoft, and Amazon created broad AI solutions. These solutions handle multiple tasks but are not optimized for any specific ones.

Vertical AI has been enabled by advancements in Large Language Models (LLMs), which now possess the capability to process complex, industry-specific data and automate complex tasks. These breakthroughs and the inefficiencies of outdated technologies in many industries have created a demand for specialized solutions. Additionally, some platforms simplify the creation and deployment of vertical AI by providing data management and customization tools. At the same time, businesses increasingly recognize AI’s potential to drive efficiency and competitive advantage.

Vertical AI agents are emerging as the next disruption in tech and are anticipated to dominate in 2025. With its market valued at $5.1 billion in 2024, the figures are projected to rise to $47.1 billion by 2030.

Some areas where vertical AI agents are used include finance to enhance risk assessment models and provide insights into market trends and investment opportunities.

Banking institutions are also deploying vertical AI agents to detect fraud in real-time and reduce manual intervention.

In retail verticals, AI agents help personalize product suggestions for customers.

It is important to note that the success of vertical AI precision depends on its ability to solve clear and specific problems. It leverages industry-specific data and domain expertise to deliver solutions that have better precision than general AI systems.

As such, some companies have begun building their own AI tools by using their datasets to create tailored solutions for their specific industry challenges.

Key Benefits of Vertical AI Agents for Niche Markets

  1. Increased operational efficiency – Frees human resources by automating complex and repetitive tasks to increase productivity. Employees have more time to focus on tasks that require creativity, strategy, or problem-solving.
  2. Enhanced accuracy and decision-making – Vertical AI agents are trained on vast amounts of industry-specific data. As a result, they deliver more accurate and consistent results. This reduces human error, which may have dire consequences in critical high-stakes fields such as healthcare and finance.
  3. Cost saving – automating tasks traditionally performed by large teams helps reduce costs. It lowers payroll expenses and minimizes operational costs. This enables companies to reallocate resources to innovation and growth rather than to routine tasks.
  4. Unlock new markets – traditional software solutions may struggle to penetrate niche markets. This is because of their complexity or unstructured data requirements. However, vertical AI agents handle these challenges effectively, opening up new revenue opportunities in previously underserved segments.
  5. Improved customer experience – vertical AI agents enhance customer interaction since they can provide personalized service and faster response time.
  6. Competitive advantage – businesses leveraging vertical AI agents have a significant competitive edge over competitors relying on generalized solutions.
  7. Driving innovation – vertical AI agents streamline operations and offer data-driven recommendations. This enables businesses to experiment and develop cutting-edge products and services. Ultimately, a business can maintain a competitive edge in niche markets.

Challenges and Considerations

Vertical AI agents have compelling benefits but also come with some challenges. A business must navigate the potential challenges during implementation. This includes integration with existing systems, data privacy concerns, employee resistance, and the need for ongoing human oversight. The good news is that with careful planning and a strategic approach, it is easy to overcome these challenges and fully realize the benefits of vertical AI.

Closing Thoughts

Automation has become a critical tool for businesses that want to remain competitive. As the demand for smarter and more efficient operations rises, vertical AI agents are emerging as a solution. These advanced AI solutions deliver targeted results by focusing on niche applications. As AI continues to advance, vertical AI agents will become more efficient and accessible, integrating with broader systems.

Securing Client Data: The Importance of Encrypted Apps

Securing Client DataThe Salt Typhoon cyberattack is among recent cyberattacks that reaffirm the urgent need for robust data security measures. This attack targeted major telecommunications providers, compromising critical infrastructure and potentially exposing vast amounts of sensitive data. With cyberthreats becoming more sophisticated, businesses and individuals must prioritize data security to maintain trust and compliance.

The Role of Apps in Managing and Protecting Client Data

Businesses need apps because they make the work easier and more organized. Apps help teams communicate better, manage tasks, and share information quickly, no matter where people are. The apps also simplify handling customer needs, improving service, and tracking business performance. Generally, apps save time while helping businesses work smarter and stay competitive.

One of the most critical uses of apps is managing client data. This data includes personal details like names and addresses. It also includes financial information such as bank details, as well as business-specific data like contracts and project plans. Losing or exposing this sensitive information can lead to severe consequences, including financial losses, legal penalties, and damaged reputations. Clients may lose trust in your business, leading to lost opportunities and reduced customer loyalty. By using apps effectively, businesses can better organize, safeguard, and utilize client data to build stronger relationships and maintain long-term success.

Encryption: A Critical Security Measure

Encryption has become crucial in modern data security. It transforms readable data into an unreadable format, ensuring only authorized parties can access the information. There are various types of encryptions, including end-to-end encryption (E2EE), which protects data during transmission, and at-rest encryption, which secures stored data.

Following the Salt Typhoon cyberattacks, the FBI and Cybersecurity and Infrastructure Security Agency (CISA) issued a joint advisory urging individuals and organizations to prioritize using encrypted communication channels. Given the vulnerability of traditional communication methods, the agencies strongly recommended adopting end-to-end encrypted messaging apps like Signal for secure communication. This recommendation aims to mitigate the risks associated with compromised telecommunication networks. It also helps protect sensitive information from unauthorized access. Even if cybercriminals intercept the data, they cannot decipher it without the encryption key. This layer of protection mitigates the risks of unauthorized access and data breaches, making encryption an essential tool for businesses.

The Role of Encrypted Apps

  1. Enhanced security: Encrypted apps provide a critical layer of defense against sophisticated cyberattacks. By encrypting data both in transit and at rest, these apps ensure that even if communication networks are compromised, sensitive information remains inaccessible to attackers.
  2. Compliance with regulations: With so many ongoing cyberattacks, regulatory scrutiny of data security practices has intensified. Encrypted apps can help businesses comply with relevant regulations, such as the GDPR and CCPA, by demonstrating a commitment to data protection.
  3. Building trust and customer loyalty: Customers are increasingly wary of data breaches in an era of heightened cybersecurity concerns. Utilizing encrypted apps demonstrates a commitment to data security and privacy, fostering trust and loyalty among clients.
  4. Protecting business operations: Encrypted apps are crucial for protecting client data and safeguarding critical business information, such as intellectual property, financial records, and internal communications. This ensures the continuity and integrity of business operations, even in the face of advanced cyber threats.

Choosing and Implementing Encrypted Apps

When selecting and implementing the right encrypted apps, it is important to consider them carefully. First, it is good to consider industry-specific needs as different industries have different data security needs. For example, while a healthcare provider must comply with Health Insurance Portability and Accountability Act (HIPAA) regulations, a business in the financial industry must adhere to banking regulations. This calls for selecting industry-specific apps.

Businesses also must prioritize apps with robust security features, such as strong encryption algorithms, multifactor authentication, and regular security updates. It is also important to carefully review the data privacy policies of app providers and ensure compliance with relevant regulations.

Effective employee training is also essential for successfully implementing encrypted apps. Employees must be educated on the importance of data security, the proper use of encrypted apps, and best practices for handling sensitive information.

Conclusion

Client data is one of a business’s most valuable assets, and protecting it is paramount. The growing threat of cyberattacks and the increasing complexity of data protection regulations make encryption an essential tool. By embracing encrypted communication channels, businesses can significantly enhance their resilience against sophisticated cyberattacks, protect sensitive client data, and maintain a competitive edge in today’s digital economy.

Cybersecurity Best Practices for the Holiday Season

Cybersecurity The holiday season is when most people go on shopping sprees and travel. This season also witnesses a surge in online activities in today’s digital world. Unfortunately, cybercriminals take advantage of this period to launch attacks. Therefore, cybersecurity should be the top priority for a business gearing up for peak sales or a shopper looking for the best deal.

Understanding Holiday Cyber Threats

Businesses and consumers face unique challenges during the holiday season. For businesses, the increase in traffic and online transactions can overwhelm systems. This may make them vulnerable to attacks. Cybercriminals may use tactics such as ransomware, phishing scams and fraudulent transactions during the busy season. Consumers, on the other hand, get lured by malicious ads, fake websites and phishing emails that may appear as irresistible holiday deals.

Recognizing these risks is important to staying safe for both businesses and consumers. Understanding them also means taking proactive measures to reduce exposure to cyber threats.

Why Cybersecurity Matters

The lack of effective cybersecurity can lead to financial loss, reputational damage and disruption to a businesses’ operations. On the other hand, consumers face identity theft, unauthorized purchases and compromised financial accounts.

According to the Retail and Hospitality Information Sharing and Analysis Center (RH-ISAC), threats such as ransomware, phishing, and account takeover (ATO) attacks intensify as consumer activity surges. In their 2024 Holiday Season Cyber Threat Trends Report, RH-ISAC emphasizes proactive defense measures, especially during high-traffic periods like the holiday season.

Cybersecurity Best Practices for Businesses

Security measures for businesses include:

  • Set up a holiday strategy – over the long holidays, businesses tend to have a change in work schedules and fewer staff members. Having a holiday cybersecurity strategy can safeguard against potential cyber threats. This can include an emergency response plan and designating responsible individuals for cybersecurity.
  • Endpoint security – this involves protecting devices like computers and smartphones used in the business. It is important to update all software, install antivirus programs and enable firewalls to shield the business network from intrusions.
  • Employee training – human error is one of the leading causes of data breaches. Therefore, it is important to educate staff to recognize phishing attempts. They should also know the importance of strong passwords and reporting suspicious activity.
  • Monitoring systems for unusual activity – This requires a business to invest in tools that help detect suspicious behavior in its networks. This should include fraud detection systems that will help identify unusual transaction patterns. It also helps detect potential compromises from third-party vendors.
  • Backup and recovery plan – business continuity in case of an attack is crucial. Therefore, a business should ensure that data is regularly backed up and stored securely. It also helps to test the recovery process regularly.

Cybersecurity Best Practices for Shoppers

Consumers are not immune to holiday cyber-attacks. A consumer must keep the following in mind:

  • Shop from secure websites – shoppers should be cautious by checking website security. They should check that a website includes “https://” and a padlock icon in the URL. Also, confirm the correct name of the website. It is also important to avoid clicking on links from unsolicited emails or social media ads. This is a common phishing tactic.
  • Use secure payment methods – a credit card provides better fraud protection than a debit card. Consider digital wallets that have an extra layer of encryption. It is also crucial to avoid saving payment details on websites.
  • Avoid public wi-fi – shopping on the go may see some shoppers use public networks. These networks expose data to hackers.
  • Be wary of emails and messages with deals that sound too good to be true. Always verify sender authentication and, where necessary, contact the company directly.
  • Be cautious about unexpected package notifications. Unexpected package notifications can be a phishing tactic to steal personal information or install malware. Always verify the sender and avoid clicking on links in unsolicited messages.
  • Be cautious of holiday scams like fake charities, gift card scams and fake gift exchanges that prey on the season’s generosity and excitement. Scammers may trick customers into buying gift cards or sharing personal details through fraudulent schemes. Staying skeptical of unsolicited offers and never sharing sensitive information with unverified sources will help ward off cybercriminal attacks.
  • Activate multi-factor authentication (MFA) – adding MFA creates an extra layer of security for highly sensitive accounts such as email, bank, and work-related logins.

 Closing Thoughts

The holiday season is meant to be a time of celebration and connection, not worry and stress. By implementing robust cybersecurity practices, businesses can protect their operations and customers while shoppers enjoy safe, hassle-free transactions.

Zero Trust Security Models: The New Standard Against Data Breaches?

As technology evolves, so have data breaches, which have become a significant threat to businesses of all sizes. We frequently hear reports of high-profile attacks on major organizations, global corporations, and even government agencies. Emerging technologies such as generative artificial intelligence and machine learning make cybersecurity more challenging. They enable cybercriminals to automate attacks, create sophisticated phishing schemes, and develop advanced malware to evade traditional security measures. Hence, companies have no choice but to change how they approach cybersecurity.

To deal with these modern threats, Zero Trust security models are gaining widespread adoption as the preferred standard for effectively protecting against data breaches.

What is Zero Trust?

Zero Trust is a cybersecurity framework based on the “never trust, always verify” principle. Unlike traditional models that grant access based on network location, Zero Trust requires continuous verification of each user, device, and application attempting to access resources.

Instead of assuming that someone within the network can be trusted, Zero Trust demands constant authentication and least-privilege access. This means users are granted access to only the data and resources they need to perform their tasks. Basically, every interaction is assumed to be a breach.

How Zero Trust Differs from Traditional Security Models

Historically, businesses operated on a “perimeter-based” approach – trusting everything inside their network and guarding against threats from the outside. However, the once-clear network boundary has become unclear with the rise in remote work, cloud computing, and mobile devices. Breaches today can occur internally, often by compromised accounts, rogue insiders, or lateral movement of malware.

Cyberthreats have become such a huge problem that the U.S. government issued an executive order to help improve the nation’s cyber security by mandating that federal agencies adopt the Zero Trust architecture. This further pushes businesses to rethink their cybersecurity strategies.

Key Components of a Zero Trust Model

Zero Trust models are built on several core principles:

  • Continuous verification – Authentication is ongoing, requiring verification for every request made by a user or device.
  • Least-privilege access – Users receive only the minimum level of access needed to perform their jobs.
  • Micro-segmentation – Networks are divided into smaller zones, limiting the lateral movement of potential threats.
  • Contextual monitoring – Continuous monitoring of users and devices based on context – such as location, device health, and behavior – to identify abnormal activities.
  • Multi-factor authentication (MFA) – MFA requires users to provide two or more forms of authentication, such as a password combined with a biometric factor or a security token.
  • Encryption – All data must be encrypted to protect it from unauthorized access or interception. Encryption ensures that even if attackers manage to capture data, they cannot read or exploit it without the appropriate decryption keys.
  • Access Controls – Applying strict policies to determine who can access specific data and systems based on their role and identity.

Benefits of Zero Trust

  1. Stronger protection against data breaches – Zero Trust models significantly reduce the risk of data breaches by enforcing strict identity verification and limiting access to only necessary resources. Even if an attacker gains entry, micro-segmentation ensures limited movement, containing threats, and minimizing damage.
  2. Enhanced regulatory compliance – Zero Trust helps businesses meet regulatory requirements like GDPR and HIPAA by enforcing strict access controls and continuous monitoring. This approach simplifies compliance and ensures that only authorized users can access sensitive data, reducing the risk of fines.
  3. Improved visibility and control – With continuous monitoring, Zero Trust provides better visibility into network activity, making detecting suspicious behavior in real-time easier. This added control enhances security and operational efficiency, allowing immediate responses to potential threats.
  4. Reduction of insider threats – Zero Trust minimizes insider threats by requiring strict identity verification and limiting access, even for internal users. This makes it harder for malicious insiders or compromised accounts to cause significant damage within the network.
  5. Support for remote work and cloud environments – Zero Trust offers safe access to resources from any location. This flexibility ensures that businesses maintain strong security for both in-office and remote teams.

Conclusion

Zero Trust security models represent a significant shift from traditional perimeter-based defenses to a more dynamic and resilient approach. For business owners, adopting Zero Trust principles can provide peace of mind and enhanced protection in today’s unpredictable cyber landscape. With time, emerging technologies like artificial intelligence, IoT, and cloud computing will continue to shape the evolution of Zero Trust, making it an essential part of a robust cybersecurity strategy.