The hidden security risks of AI-powered marketing tools

Since the emergence of AI tools, many brands and companies have been choosing the fast and uncomplicated route with artificial intelligence. However, what many users do not realize is that they are gradually handing over more and more data to AI systems.

While the average AI user may not have much to risk, the situation is very different when a business has access to a range of third-party customer data. The risk becomes even clearer for marketing teams that have switched to AI for virtually everything — from campaigns and brand voice to content creation.

There was neither a general agreement to switch completely to AI nor a conscious decision to share all data. The shift simply happened. As soon as you formulate a prompt, enter useful data or describe your target audience in detail, the AI tool may already be processing sensitive information and partially storing it.

When AI-supported messages, waitlists and payment interfaces are added, you transfer even more customer data to AI systems.

AI marketing platforms promise faster texts, more precise targeting and predictive insights that earlier marketing technologies could not deliver. The same system that creates content with the right brand voice from a mailing list can also expose sensitive data.

Five Key Security Risks of AI-Powered Marketing Tools

The use of artificial intelligence can significantly optimize business processes. Nevertheless, you should know the full risk picture before joining this trend. You should pay particular attention to the following five security risks when using AI-supported marketing tools.

Data leaks through shadow AI

This risk often arises when AI tools are not thoroughly tested before being implemented. For example, it is risky to upload a customer list to an external AI tool without first conducting a security review.

With unverified third-party providers, you can’t be sure how they process, store, or share the data you enter. This increases the risk that sensitive information will leave your company’s secure network. In the worst-case scenario, a malicious provider could pose as a powerful AI marketing tool and steal the data you enter.

Prompt-injection attacks

AI marketing tools often rely on external sources. They analyze websites, customer reviews, competitor data and content from social networks to quickly gain comprehensive insights for a specific task.

However, it is precisely this mechanism that can be exploited. Cybercriminals hide malicious code or instructions in seemingly innocuous content—much like phishing links.

If an AI tool accesses data from a manipulated platform, an attacker can influence the ongoing process. For example, they place hidden instructions that lead the AI to perform an unwanted action during an ordinary task. Prompt injection remains one of the most difficult security risks to control when using artificial intelligence.

AI-powered phishing

AI tools are available to everyone — both responsible users and criminals. The same applications that marketing professionals use to create convincing advertising copy can also be used for fraud attempts.

Instead of the typical spelling and grammar mistakes found in classic phishing emails, attackers now use AI to write professional-looking messages. This makes it easier for them to trick recipients into disclosing confidential information.

Imagine a team member sharing sensitive marketing or company data because an email appears to come from management. Phishing now even extends to the use of live deepfakes, as shown by the fraud case at engineering company Arup.

Cumulative data risks

In practice, an AI marketing platform often consists of a chain of different AI service providers. Individual steps in the process are handled by different applications. At the same time, each provider has its own rules for the storage, processing and security of data.

This means that the more AI tools are integrated into a process, the greater the potential attack surface becomes. With every additional service provider, the risk of unauthorised data disclosure may increase.

Data protection and compliance risks

Whilst businesses and cybersecurity experts are trying to manage AI risks, regulatory authorities are not standing idly by either. Data protection laws are being further developed worldwide and place greater responsibility on companies to proactively protect personal data.

Even a single complaint from a dissatisfied customer can trigger a comprehensive and costly data protection investigation. Before you use a particular AI tool, you should therefore check both the general security measures and compliance with relevant data protection regulations.

Five recommended AI marketing tools

If you want to use artificial intelligence seriously for your marketing, you should consider the following five providers.

A recurring pattern emerges across all the tools presented: the greatest security risk often stems not from the platform itself, but from the careless handling of login details.

According to an analysis by Cybernews, both 1Password and Bitwarden offer suitable features for protecting passwords. Professional password management can therefore help reduce the risk of compromised login credentials when using AI marketing tools.

Jasper

Jasper is a well-known platform for AI-supported content creation. The tool can turn short and simple prompts into structured blog posts, advertising copy and email content.

This enables marketing teams to implement their editorial plans more efficiently and maintain a consistent brand voice across various channels. From a security perspective, role-based access control is particularly important.

Whilst all authorised team members can use Jasper, not everyone is granted the same level of access to sensitive data or administrative functions. This helps to reduce the risk of unauthorised data export.

HubSpot

Many marketing and sales teams use HubSpot because of its centralized data management and comprehensive CRM features. The platform is suitable for managing numerous marketing processes — from emails and campaigns to analyzing customer interactions.

With the built-in AI features, teams can automate many of these tasks. This reduces processing times and speeds up implementation.

HubSpot also uses a role-based access system. This means team members only receive the permissions they need for their respective tasks. In addition, the platform provides features and information that help companies comply with data protection requirements.

Semrush

Semrush has long been one of the established platforms for SEO research. Through the integration of AI, companies can automate parts of their keyword and competitor analyses. In addition, the platform supports the creation of advertising copy and search engine optimized content.

Compared to classic SEO research, Semrush enables faster analysis and implementation. However, since the platform may contain sensitive SEO, competitor and company data, you should consistently protect your account against takeovers and password theft.

Professional password management combined with multi-factor authentication helps better protect your marketing data in Semrush.

Hootsuite

Hootsuite is a well-known platform for planning content and managing social networks. Instead of opening multiple browser tabs and manually adapting each post to the respective platform, teams can centrally create, coordinate and publish their content.

Hootsuite also offers role-based access control. Only authorised administrators have full access to sensitive data and to functions for editing or exporting. Other team members can collaborate on content with restricted permissions.

Canva

Canva Magic Studio expands the well-known design platform with a host of AI-powered features. Canva is already established as a user-friendly tool for various types of content creation. The AI features make this process even easier.

Users no longer have to create designs entirely themselves or painstakingly adapt templates. With the help of simple prompts, they receive design suggestions that they can then edit extensively.

Canva also uses role-based access control. This allows several people to work on projects together, whilst key administrative privileges remain with the relevant administrators.

Conclusion

AI marketing tools are not going to disappear – nor should they. Despite the existing security risks, they offer businesses considerable added value.

Instead of completely avoiding artificial intelligence, companies should introduce suitable security measures. Login credentials must not be managed carelessly. In addition, no AI tool should be used before its security features and data protection terms have been carefully reviewed.

Even without AI, companies remain confronted with many of these risks, as cybercriminals constantly continue to develop their methods. That is why brands and companies must also continue to evolve — both when using artificial intelligence and when securing their systems.