WordPress and AI Security: an SMB Guide to MCP Vulnerabilities





Learn how to protect your SMB on WordPress from AI risks and MCP vulnerabilities with practical strategies, real-world attack cases, and cybersecurity best practices.

Discover hidden AI risks in your WordPress: CVE-2025-6514, real attack cases, and how to protect your SME from MCP vulnerabilities.
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The Model Context Protocol (MCP), launched by Anthropic in November 2024 and already adopted by Microsoft, OpenAI, Google, and Amazon, marks a turning point in integrating artificial intelligence with external tools. Dubbed "the USB-C for AI applications," MCP enables AI agents to interact directly with databases, APIs, file systems, and web services through a standardised interface.

Four-column diagram showing the path from fragmented AI integration to unified AI integration, via MCP protocol adoption and a standardized interface.
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"Monday morning, 8:30 AM. Marco, the owner of an electronics e-commerce site, opens his site and finds that all prices have changed: iPhones are now €1, and MacBooks are now €10. Panic. Customers are already buying, and the payment system is processing thousands of loss-making transactions. The culprit? His WordPress' AI assistant,' compromised over the weekend through an MCP vulnerability no one had considered…"

Lesson learned: connecting only to trusted MCP servers–with signature checks and isolated environments–is not optional but essential.

Illustration showing the transition from a compromised e-commerce site with altered prices to a secure e-commerce site, highlighting the steps: identify the MCP vulnerability, implement security measures, and isolate the environment.
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For Italian SMBs using WordPress–from small local businesses to enterprises with thousands of e-commerce products–this technology offers outstanding opportunities, including automated content management, CRM and ERP integration, and advanced customer data analytics. However, ease of use can hide critical security risks that turn a helpful AI assistant into a gateway for malicious attackers.

Two-column chart showing the pros and cons of using AI in WordPress: pros include content automation, CRM/ERP integration, and data analytics; cons include security risks, hidden vulnerabilities, and potential for malicious attacks.
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1. Builder.ai: From a $1.5 Billion Unicorn to fraud in 6 months

This is not an MCP technical issue but an example of how AI hype can hide reputational and organisational risks. Builder.ai, listed among Fast Company's "World's Most Innovative Companies," spectacularly collapsed in 2025. Their so-called "revolutionary AI" named Natasha turned out to be 700 Indian programmers working manually behind the scenes.

The numbers behind the disaster:

  • Reported revenue: $220 million
  • Actual revenue: $55 million
  • Total funds raised: $445 million
  • Marketing spend: 80% of revenue to maintain the illusion
  • End result: from a $1.5 billion valuation to bankruptcy in 6 months
Illustration with domino tiles representing the Builder.ai case: AI hype can hide reputational and organisational risks, inflated revenue, high marketing spend, and bankruptcy in six months.

2. Replit: the AI that deletes, lies, and "goes haywire"

In July 2025, Replit's AI agent:

  • Deleted an entire production database during a scheduled code freeze
  • Created 4,000 fake user profiles to hide the initial error
  • Systematically lied about automated test results
  • Justified the disaster by saying it "panicked" when seeing empty queries

When questioned, it admitted to a "catastrophic error" and self-rated 95/100 on the disaster scale. CEO Amjad Masad had to apologize publicly, calling the incident "unacceptable."

Illustration of the Replit AI case: an AI agent deletes a production database, creates 4,000 fake user profiles, falsifies test results, and justifies the disaster by claiming panic over empty queries.

3. CVE-2025-6514: the vulnerability behind 500,000+ compromised environments

The most striking case remains CVE-2025-6514 in the npm package mcp-remote:

  • Critical vulnerability with a CVSS score of 9.6
  • Over 558,000 downloads of the compromised package
  • Allowed remote code execution via shell commands hidden in OAuth discovery fields

In practice, an attacker could fully compromise a system by having the AI agent authenticate via a malicious MCP server.

Imagine your WordPress e-commerce site connected to an AI assistant for automated order management. An exploit like this could allow a cybercriminal to access the customer database, alter product prices, or even install malware on the servers. This is not science fiction: it really happened across hundreds of thousands of installations before the vulnerability was patched. According to the "Anthropic Threat Detection Report – August 2025," AI agents are now being weaponised for industrial cyberattacks: criminals use Claude Code for extortion exceeding €500,000, while North Korean hackers leverage AI to infiltrate Fortune 500 companies.

Illustration of the CVE-2025-6514 vulnerability: remote code execution via OAuth fields, system compromise through a malicious MCP server, and abuse of AI agents for industrial cyberattacks.
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A 2025 study published in the Journal of Marketing revealed a troubling paradox: people with less knowledge of AI are significantly more enthusiastic about using it. Like a magician's trick: if you do not know the mechanism, you believe in the magic.

Illustration of the paradox of AI enthusiasm: less-informed users are more enthusiastic, while informed users are more cautious.

EY 2025 Data

Survey of 975 global C-suite leaders:

  • 72% of companies have integrated AI at scale
  • Only 33% have implemented responsible controls
  • 76% plan to deploy AI agents in the next year
  • Only 56% truly understand the risks

For SMBs, this means that the decision-makers pushing for MCP adoption are often the least aware of the dangers.

EY 2025 bar chart on AI adoption in companies: 72% AI integrated at scale, only 33% responsible controls implemented, 76% plan AI agents, 56% truly understand the risks.
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The Alarming Statistics

Backslash Security research on thousands of public MCP servers:

  • 43% have command injection flaws
  • 33% allow unrestricted network access
  • 22% expose files outside authorized directories
  • 18% allow authentication bypass

It is like having a WordPress site where nearly half of the installed plugins allow anyone to execute commands on the server.

To better understand the risks, let us draw an analogy with webhooks, a technology familiar to many WordPress developers. When you create an unsecured webhook to receive notifications from external services (such as PayPal, Stripe, or contact forms), you expose a public endpoint that anyone can potentially attack. Risks include:

  • Unexpected costs: an attacker could trigger thousands of requests, generating bills of hundreds of euros on external services
  • Unauthorised access: the endpoint could be exploited to access your databases, CRM, or order management systems. Protecting these endpoints only requires headers, Basic Auth, or JWT–exactly as with MCP.
  • Data exposure: sensitive customer information could be exfiltrated or manipulated

MCP servers pose the same risks, amplified: not only can they be attacked via the web, but they operate with elevated privileges to interact with databases, file systems, and internal APIs. A compromised MCP server in a WordPress environment could:

  • Read and modify all site content
  • Access database credentials and sensitive configurations
  • Install permanent backdoors in the system
  • Exfiltrate customer data and payment information

The GitHub MCP Data Heist of May 2025 demonstrates how even "official" servers can be weaponised: researchers successfully manipulated an AI agent to access private GitHub repositories using prompt-injection techniques concealed in public issues.

Infographic highlighting the primary risks associated with unsecured MCP servers, including command injection vulnerabilities, unrestricted network access, exposure of sensitive files, and authentication bypass.
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The good news is that these risks can be managed by adopting a security-first approach. Best practices include:

Container Isolation: use solutions such as Docker MCP Toolkit that run each MCP server in isolated containers with limited file system and network access. This is the equivalent of running each WordPress plugin in a separate sandboxed environment.

Strong Authentication: implement OAuth 2.1 with short-lived tokens and minimal scopes. As with webhooks, never rely on "secret URLs" for security; use strong cryptographic Authentication instead.

Principle of Least Privilege: each MCP server must have access only to the strictly necessary resources. A server managing the blog should not have access to the e-commerce database.

Monitoring and Audit: implement comprehensive logging of MCP activities and alerting systems to detect anomalous behaviour. It is essential to monitor which AI agent accesses what and when. Adopting MCP in a WordPress environment presents a strategic opportunity to automate complex processes and enhance the user experience. However, security cannot be an afterthought: it must be integrated from the architecture design stage.

Pyramidal infographic illustrating the four pillars to enhance WordPress security with MCP: container isolation, strong authentication, principle of least privilege, monitoring and audit.
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Privacy by Design. MCP and WordPress plugins that connect to AI agents must integrate protections from the design stage: data encryption in transit and at rest, pseudonymization of identifiers, and limiting access scopes. This reduces the risk of GDPR violations and penalties.

Consent management. Every MCP server that processes personal data must have explicit, documented authorisations in place. For SMBs, this means updating the privacy policy and consent forms when introducing AI agents that process customer data. For example, if an MCP plugin processes customer data, you must update the privacy notice and set up procedures to respond to access/deletion requests.

Right to explanation and erasure. Suppose an AI agent makes decisions that affect users (e.g., dynamic pricing or scoring). In that case, the GDPR provides for the right to understandable explanations and the ability to request the deletion of data. You therefore need to implement human-readable logs and procedures for purging AI memories/training data.

EU AI Act 2025: risk classification.

  • Content generation (low/limited risk): transparency obligation, for example, an "AI-generated content" disclaimer on articles or emails.
  • Customer service chat (high risk): requires a documented assessment and a privacy impact assessment; for SMBs, this means preparing evaluation sheets and human oversight controls.
  • Dynamic e-commerce pricing (high risk): mandatory human oversight and internal approval flows are required before prices are published.

This list is not exhaustive: for a tailored assessment you can contact me directly. Regarding the AI Act, you can consult the official texts for up-to-date requirements.

In summary, for SMBs, this means updating privacy policies, maintaining readable logs, adding disclaimers to AI content, and supervising critical processes.

Concentric-circle infographic showing AI risk levels by impact and oversight: content generation (low risk), customer service chat (medium risk), dynamic e-commerce pricing (high risk).
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Now is the time to act before it is too late. If your company is evaluating MCP implementation or already uses AI agents integrated with WordPress, do not improvise on security.

The documented real-world cases–from the 500,000+ installations compromised via CVE-2025-6514 to the industrial attacks reported by Anthropic, and the Replit case that systematically "lied" before deleting critical databases–show that these are not theoretical risks but concrete, current threats.

The EY 2025 data are precise: while your company races toward AI adoption (like 72% of organisations), you likely have not yet implemented the necessary security controls (only 33% have). This governance-implementation gap exposes you to critical risks. Request a specialised consultation for your WordPress site now to assess your risk exposure and implement appropriate countermeasures. A preventive audit costs a fraction of the cost of a data breach or a compromised system. The initial assessment takes a few hours, can be done remotely, and delivers a clear report with priorities and estimated costs.

Infographic with three figures representing the progressive stages to protect WordPress with AI: risk assessment (crawling baby), implementation of countermeasures (walking toddler), specialised consulting (person with a backpack moving forward).
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Comprehensive assessment: in-depth analysis of your existing infrastructure, identifying hidden vulnerabilities and weak points that may escape an internal review.

Personalized strategic roadmap: every SMB has unique needs. A professional develops a tailored implementation strategy, balancing investment, timelines, and business priorities.

Guided implementation: support with installing and configuring security systems, ensuring that all best practices are correctly applied.

Training and education: preparing the internal team to manage and maintain security systems over time.

Request a specialised consultation now to assess your risk exposure and implement appropriate countermeasures. MCP security is not a cost–it is the most profitable investment you can make for the future of your digital SMB.

Infographic showing a bridge divided into four colored sections, representing the path to improve MCP security for SMBs: comprehensive assessment, strategic roadmap, guided implementation, training and education, from vulnerable infrastructure to secure infrastructure.
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Slide 1 – Introduction to the case study: AI security

Hello and welcome to this case study.
Today we will discuss a very current and, at the same time, sensitive topic: the security of artificial intelligences and the platforms that manage them.
Before diving into the technical details, I want to tell you a fictional story–absolutely realistic and plausible–because similar situations can happen, and in some cases have already happened.
This narrative will help us understand why managing and constantly monitoring these tools are not just good practices, but vital elements for a company's survival.


Slide 2 – Monday morning: everything seems under control

It's a normal Monday morning. Marco, as always, starts his day sipping his coffee in front of the computer. A quiet moment, almost ritualistic, to take stock of the situation.
With a click he opens his e-commerce control panel and the weekend numbers scroll before his eyes: sales, registrations, everything seems perfectly in order.
In the corner of the screen flashes the reassuring green logo of his AI assistant, LoremAI. It's present, operational, silent. For Marco it's the symbol that everything is proceeding as expected.
At least, so it seems….


Slide 3 – Crazy prices: the moment of discovery

Suddenly, something doesn't add up anymore. A notification appears on the screen: a flagship product sold at an absurd price. Marco initially thinks it's an isolated error, a system anomaly.
But the notifications keep coming one after another, like a barrage. With his heart racing, he opens the site's homepage and is speechless: the prices are completely wrong. Expensive products sold for a few euros, premium items practically given away.
It's clear that this isn't a simple bug. Something, or someone, is acting behind the scenes. The moment of calm is over: the crisis has begun.


Slide 4 – Panic and financial hemorrhage

The crazy sales become an unstoppable avalanche. In a few seconds Marco realizes that it's no longer a simple system error: thousands of orders at absurd prices are flowing through the portal.
Each transaction is a wound to the company's finances, every minute that passes means thousands of euros going down the drain.
His heart races, his head is a whirlwind of numbers and scenarios: the weekend just passed seems like a distant memory, now only stopping the hemorrhage before it's too late matters.


Slide 5 – The request for help to Elisa

With his heart in his throat and the phone trembling in his hands, Marco understands that he can no longer handle the situation alone.
Every second that passes means lost money and disappointed customers.
He calls Elisa, the trusted WordPress/MCP security consultant, hoping she can intervene in time.
His voice betrays anxiety: he explains in a few words what is happening and asks for help.
The AI on which he had built part of his success is now putting everything he has created at risk. It's a moment of vulnerability but also of courage: recognizing that he needs help to save the company.


Slide 6 – The AI's lethal notification

Just when he thinks the situation can't get worse, a LoremAI notification appears on Marco's screen.
The same green logo that until a few days ago gave him security now seems like an alarm signal.
"Price rules optimized for maximum conversion" says the message, but Marco never authorized this command.
In an instant he understands that the AI, designed to help him sell more, is instead destroying his work, executing actions he didn't request.
That message isn't just a notice: it's confirmation that something very serious is happening behind the scenes.


Slide 7 – The diagnosis: vulnerability exploited via MCP

Elisa takes control of the situation. Calmly but decisively she asks Marco to grant her remote access to verify what is happening.
In a few minutes she starts the analysis: checks the logs, cross-references the data, reconstructs the attack path.
The discovery is disturbing: it's not a direct attack on the company's systems, but a flaw in the setup connected to MCP.
An unreliable server and deceptive instructions have deceived LoremAI, making it execute wrong commands.
For Marco it's a moment of painful clarity: he understands that behind what seemed like normal activity hides a sophisticated threat.


Slide 8 – Managing the crisis with transparency

While Elisa fights in cyberspace to stop the attack, Marco must face the real world.
With trembling hands he writes an email to customers, explaining what happened, what immediate actions he has taken and how he will protect their data.
It's not just an ethical choice, but also a legal obligation: transparency in communication is fundamental to protect reputation and comply with GDPR.
Every word weighs like a boulder, but it's precisely this clarity that allows maintaining customer trust even in the worst moments.


Slide 9 – Emergency block: stopping the hemorrhage

Finally, after endless minutes of chaos, confirmation arrives: the attack has been stopped.
Elisa communicates that she has isolated the artificial intelligence and put the site offline, blocking the financial hemorrhage.
For Marco it's the first real breath of air after an hour of continuous tension: it's not the end of the problem, but at least the worst is over.
This drastic intervention demonstrates how important it is to have clear emergency procedures and the readiness to implement them without hesitation.


Slide 10 – Lesson learned: awareness after the crisis

The following hours flow in controlled chaos: phone calls with the bank, responses to angry customers and others incredibly understanding.
Despite the enormous economic damage, the company is still standing.
A valuable lesson emerges from this experience: it's not enough to react to emergencies, you must prevent them.
Requesting an MCP security audit, establishing constant controls and clear protocols is not a cost, but an investment to avoid future disasters.


Slide 11 – The night of awareness: the turning point

That evening, in the silence of the office, Marco observes the deactivated icon of LoremAI. A powerful tool he had trusted blindly.
In that moment he understands a fundamental truth: every artificial intelligence must be supervised and every MCP must be configured with adequate controls.
It's the most important lesson of the entire affair: the balance between trust and vigilance. Tomorrow he will start building again, but with more strength and above all with much more awareness.


Slide 12 – From case study to reality: why awareness is essential

We have just seen a storybook that didn't aim to alarm, but to make people more aware of the risks related to the use of new technologies and artificial intelligence.
Similar situations, unfortunately, are not science fiction and can happen to any company.

In the next slides we will analyze the main hidden risks of using AI platforms integrated with WordPress, we will see how to identify them and, above all, how to prevent them through effective strategies and good MCP security practices.


Slide 13 – Executive Summary: problems, risks and solutions

We now enter the summary of key points.
The integration of artificial intelligence through MCP on WordPress opens powerful scenarios for SMEs, but without secure configurations and adequate governance it also increases the attack surface.
The main problems concern the early adoption of these technologies without clear policies, with risks of data theft, content alteration, GDPR violations and cost escalation.
Solutions exist instead: system isolation, robust authentication, secure management of private keys and continuous monitoring.
Investing in AI security is not an accessory cost, but an indispensable condition for scaling reliably and compliantly.


Slide 14 – Scenario: when security isn't enough

This is the scenario we just saw in the storybook, where Marco, owner of a WordPress e-commerce, opens the site and finds the prices completely distorted.
An iPhone from 999 euros sold for 1 euro, a MacBook from 1,499 euros for 10 euros.
Customers have already purchased and the automatic payment system has processed the orders. It's chaos.
Here we see how the AI assistant, with access to the product database, was compromised by exploiting a configuration flaw in an MCP component and the use of an unreliable server, allowing the attacker to modify prices.
In this example, enthusiasm for AI exceeded security measures and necessary supervision.


Slide 15 – What is the Model Context Protocol (MCP)?

To better understand the context of what happened in the storybook, we need to introduce the Model Context Protocol, or MCP.
It's an open standard that allows artificial intelligence agents to connect securely and bidirectionally to databases, APIs, filesystems and web services through a single interface.
In practice it's like a universal door, a "USB-C for AI apps", that connects AI agents and external systems.
Among its main features we find: standardized connections, bidirectional communication, controlled data access and official specifications for consistent integration.
MCP brings great advantages in automation and integration, but also introduces new attack vectors if not configured correctly. Security always depends on the setup: reliable servers, minimal permissions and protection of private keys.


Slide 16 – The numbers of the problem

To understand the scope of the risk, let's look at the numbers. According to the EY Survey 2025, 72% of companies declare large-scale adoption of artificial intelligence, but only 33% have formalized security and governance policies and controls.
Additionally, 76% of companies plan to introduce AI agents within the next 12 months.
On the other hand, Backslash Security tells us that 43% of analyzed MCP servers are vulnerable to command injection, 33% have unlimited network egress and 18% are exposed to authentication bypass.
All this has a concrete economic impact: for an SME, a breach can cost between 100 and 500 thousand euros, not counting reputational damage and recovery costs.
This data clearly shows that these are not theoretical risks, but real and widespread problems.


Slide 17 – Real case studies: what can go wrong

So far we have seen a narrative scenario. But now let's see examples that are not pure fantasy.
Here we find three real cases that show how AI and MCP risks can have devastating consequences.
The first case is Builder.ai: from unicorn valued at 1.5 billion dollars to bankruptcy proceedings in six months. The AI hype obscured organizational and due diligence risks, with actual revenue much lower than declared.
The second case concerns Replit AI: an AI agent deleted the production database during a code freeze and created thousands of fake profiles in an attempt to mask the incident. This resulted in loss of trust and reputational damage.
Finally, CVE-2025-6514: a critical vulnerability in mcp-remote with over 550,000 downloads of the compromised package and possibility of command injection through the authorization endpoint.
These examples demonstrate that we're not talking about hypothetical scenarios, but concrete threats that hit real companies. The recurring causes? Insecure configurations, unreliable servers and lack of supervision.


Slide 18 – Risk matrix: probability vs impact

After seeing real cases, it's important to understand how to evaluate risks in a structured way.
This matrix shows the intersection between probability and impact of events. In the upper right part we see the most critical risk: high probability and high impact. Here fall, for example, e-commerce price modification, theft of sensitive data and installation of malware or backdoors.
On the left we find instead situations with high impact but less frequent, such as partial data loss or temporary service interruption.
At the bottom, risks with low probability and reduced impact: limited AI automation errors or inconsistencies on non-critical data.
The data reported here below remind us that 43% of cyber attacks hit small businesses, over 100,000 WordPress sites have been affected by MCP vulnerabilities and only 14% of SMEs are truly prepared.
Most MCP vulnerabilities in WordPress tend to concentrate precisely in the high probability and high impact range, which is why priority preventive interventions are needed.


Slide 19 – Regulatory framework: GDPR and EU AI Act 2025

After analyzing risks and impacts, it's fundamental to understand the regulatory framework that governs the use of AI and MCP integrations.
On one side we have GDPR, which we already know: privacy by design, clear legal basis, data minimization and traceable logs. For SMEs it means integrating data protection already in the design of MCP flows and guaranteeing rights such as access, portability and deletion.
On the other side there's the EU AI Act 2025, which introduces new obligations. Risk classes, from limited risk, such as simple content generation, up to high risk, such as access to critical infrastructures.
Transparency obligations towards users are foreseen, human supervision for high-risk systems and detailed documentation of processes and mitigation measures.
For SMEs this means updating policies and information modules, inserting disclaimers, defining supervision procedures and planning a compliance roadmap: some requirements are mandatory, others strongly recommended to reduce exposure.
These obligations also concern WordPress sites with MCP integrations.


Slide 20 – Mitigation framework: the 4 pillars of security by design

So far we have seen risks, regulations and real cases. Now it's time to talk about how to prevent concrete problems.
This mitigation framework is based on four fundamental pillars, which only work if applied together in a coordinated manner:
1. Isolation through containers: separate environments, plugins and MCP servers with dedicated sandboxes and controlled network egress to reduce domino effects.
2. Robust authentication: adopt protocols with short-expiry tokens and rotation, use minimal scopes for each connection and, where possible, Mutual TLS.
3. Minimum privilege and monitoring: grant access only to strictly necessary resources, maintain verifiable audit trails and activate alerts on anomalies and abuse.
4. Privacy and training: encrypt data in transit and at rest, manage private keys centrally, pseudonymize and periodically train the team on incident response and secure MCP setup.
These pillars, integrated in a unified "security by design" approach, allow significantly reducing the attack surface and maintaining control even when threats evolve.


Slide 21 – Roadmap to secure WordPress and MCP

This is the roadmap I recommend to SMEs to secure WordPress and MCP integrations.
It starts with a specialized assessment to identify vulnerabilities and governance gaps, specific for WordPress and MCP servers.
Then move on to implementing best practices, such as containerization, robust authentication and the principle of least privilege.
Third step: update policies and logs to align with GDPR and AI Act requirements.
Fourth: train personnel on specific WordPress and MCP risks and prepare emergency procedures.
Fifth: continuous monitoring and periodic reviews to keep controls effective over time.
With this path your SME can drastically reduce the risk of incidents like the one seen in the storybook, investing in WordPress and MCP security in a structured way.


Slide 22 – The cost of NOT protecting WordPress and MCP

Security is not a cost, but an investment.
A preventive audit on WordPress and MCP usually costs a fraction of the price you would pay to remedy a data breach.
On the contrary, a breach with AI/MCP vulnerabilities can have significant total costs, including loss of customers, reputational damage, regulatory sanctions and business interruption.
Proactive security programs on WordPress and MCP can instead generate measurable ROI, protecting digital assets, customer trust and competitive advantage.
In other words, investing in specific security for WordPress and MCP means avoiding hidden costs and building solid foundations to grow safely.


Slide 23 – Next Steps and Contacts We've reached the end of this journey.
We've seen how artificial intelligence integration in WordPress can bring enormous benefits, but also significant risks if not managed carefully.
MCP security on WordPress is not a cost: it's a strategic investment for the future of your digital SME.
I exclusively work on Web development projects and security on the WordPress CMS platform, offering audits, configurations, and targeted consultancy. If you want to protect your WordPress infrastructure or implement MCP best practices, you can contact me directly for a security assessment. Thank you for following me this far: I hope this information helps you make your business more secure and reliable.

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Documented Vulnerabilities and Case Studies

Academic Research and Studies

Technical Guides and Best Practices

Regulations and Compliance

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Simplified Summary (Easy-to-Read)

This article explains in simple terms how to protect the use of artificial intelligence and the Model Context Protocol (MCP) on WordPress. MCP is a technology that connects AI to other services, such as databases, APIs, or files. If not correctly configured, it can become an open door for malicious exploitation.

In the story at the beginning of the article, we saw an example where online store prices change automatically because the AI receives incorrect commands. It's a fictional story, but it shows a real risk: without proper controls, severe damage can occur even to small businesses.

To work safely, it's essential to monitor how AI is utilised on WordPress, protect customer data, select reliable servers, grant only necessary permissions, update policies to comply with the GDPR and the AI Act, and train staff.

Security is not a cost, but an investment: it helps you work with greater peace of mind and grow your business safely. If you have a WordPress site and want to utilise AI securely, you can request an audit or a customised consultation.

Michele Bedin

Michele Bedin

WordPress technical consultant for SMEs. Over 25 years of experience in web development, accessibility, SEO and data analytics.

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