Shadow AI refers to employees using artificial intelligence tools without the knowledge, approval, or oversight of IT departments. Much like Shadow IT, these unsanctioned tools can create serious security and compliance risks if they are not properly managed.

What Is Shadow AI?

Shadow AI occurs when employees use public or unapproved AI tools to complete work tasks. This may include AI writing tools, meeting transcription tools, coding assistants, or data analysis platforms that are not vetted by the organization’s IT or security teams.

Often, employees adopt these tools with good intentions. They want to work faster, automate tasks, and increase productivity. However, without proper oversight, these tools can introduce significant security risks.

The Risk of Data Leaks and Sensitive Information Exposure

One of the biggest concerns with Shadow AI is data exposure. Many AI tools require users to input information to generate results. If employees enter confidential company data, customer information, financial records, or proprietary content into public AI platforms, that information could potentially be stored, processed, or used to train external models.

For small and medium-sized businesses, this creates the potential for:

• Data leaks 
• Privacy violations 
• Compliance issues 
• Exposure of intellectual property 

In many cases, employees may not even realize the risks associated with the data they are sharing, externally or internally to other employees.

Why Businesses Need an AI Acceptable Use Policy

To safely adopt AI tools, businesses should consider establishing a formal AI Acceptable Use Policy. This policy helps define how employees can use artificial intelligence responsibly while protecting sensitive company and customer information.

An effective AI acceptable use policy typically includes:

Approved AI Tools

A list of AI platforms that have been reviewed and approved for business use.

Data Protection Guidelines

Clear rules around what types of information can and cannot be entered into or accessed by AI systems.

Security and Compliance Standards

Guidelines that help businesses remain compliant with privacy regulations and cybersecurity best practices.

Employee Awareness and Training

Education to help employees understand responsible AI usage and potential data risks.

How Your Technology Advisors Can Help Businesses Manage AI Risk

Ask your Technology Advisor for assistance with this emerging challenge. In addition to traditional cybersecurity protections, we can assist your business by developing AI governance policies, implementing secure technology solutions, and providing employee training on safe technology practices.

AI will continue to evolve and become a valuable tool in the modern workplace. The key for businesses is to adopt these technologies thoughtfully and securely. With the right policies and oversight in place, companies can take advantage of AI’s productivity benefits while protecting the data that matters most.

Protect Your Business While Embracing AI

Artificial intelligence offers incredible opportunities for productivity and innovation, but it must be used responsibly. Establishing clear policies and security guidelines today can help prevent costly data exposure tomorrow.

If your organization is beginning to explore AI tools or wants to ensure your data remains protected, we can help. Contact us today for a meaningful conversation about secure AI use, cybersecurity best practices, and technology solutions that keep your business protected while moving forward.

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For Managed Service Providers (MSPs) and small business owners, understanding the shift from “conversational” to “agentic” AI is the key to unlocking true operational efficiency.

What are Chatbots? (The Reactive Phase)

Chatbots are automated programs designed to interact with users via text or voice. Traditionally, they function as digital assistants that follow specific scripts or keywords to answer FAQs and handle routine tasks.

While sophisticated chatbots use data to personalize interactions, they remain reactive. They wait for a human to ask a question before providing a pre-programmed response. They are excellent for productivity—handling multiple queries at once—but they generally cannot “think” outside their defined parameters.

How Agentic AI Differs (The Proactive Phase)

The jump from a chatbot to an Agentic AI is a leap in autonomy. While a chatbot talks, an agent acts.

• Autonomy: Agents don’t just respond to prompts; they execute goals. If you tell an AI Agent to “optimize my schedule for next week,” it doesn’t just suggest times—it checks your calendar, emails your clients, and confirms the appointments.
• Reasoning: Powered by advanced models like Gemini and Claude, agents use machine learning to perceive context and take multi-step actions without human intervention.
• Tool Access: Unlike chatbots, agents can be equipped with “sensory inputs” and API access to your CRM, accounting software, and internal databases to complete end-to-end workflows.

Business Benefits & ROI in 2026

For SMBs, the benefits of AI Agents are measured in hours saved and revenue gained. Recent data suggests that properly implemented agents can save a small business up to 12 hours of manual labor per month.

Key ROI Metrics to Track:

1. Conversion Rates: Are agents qualifying leads and closing sales while you sleep?
2. Accuracy: Agents reduce human error in data entry and billing by up to 30%.
3. Revenue Growth: Experts suggest that AI integration should aim for at least a 3–5% increase in the bottom line to justify the investment.

The Future: A Collaborative Tech Stack

The future isn’t about replacing chatbots; it’s about orchestration. A chatbot might take the initial customer inquiry, while an underlying AI Agent handles the complex backend resolution—like processing a refund or troubleshooting a network lag.

As your trusted technology advisor, we can help you navigate these shifts, ensuring your AI experience is worthwhile.

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For years, Cybersecurity Awareness Month focused on basics like changing passwords and avoiding suspicious links. But in today’s world of hybrid work, cloud platforms, and weaponized Artificial Intelligence (AI), that advice is no longer enough. The threat landscape has evolved, and attackers now use AI to exploit human error at scale.

Small businesses are the primary target: 43% of cyberattacks hit SMBs, and 60% of those affected go out of business within six months. The average breach costs $120,000, and ransomware can cost $35,000 or more.

Layer 1: AI-Enhanced Phishing and Deepfakes

Email remains the top threat vector—but now powered by AI. Phishing attacks have surged over 1,200%, and deepfake scams are alarmingly convincing. One finance worker was tricked into wiring $25 million after a fake video call with a “CFO”.

Human error still accounts for 60% of breaches, underscoring the need for continuous, adaptive training. Employees should verify any financial request via a known phone number—never trust voice or email alone.

Layer 2: Zero Trust—Because the Perimeter Is Gone

The traditional “castle-and-moat” model is obsolete. With remote work and cloud access, the perimeter has dissolved. Enter Zero Trust Architecture (ZTA): Never Trust, Always Verify.

• Identity is the new perimeter: Over 80% of breaches involve compromised credentials.
• Multi-Factor Authentication (MFA) must be used everywhere.
• Least privilege access limits lateral movement if one account is breached (source).

Layer 3: Active Defense with Your Technology Advisor

Awareness is just the start. Your Technology Advisor delivers layered protection:

• Managed Detection & Response (MDR): 24/7 monitoring to close the skills gap.
• Phishing Simulation & Training: Realistic, AI-adaptive employee education.
• Zero Trust Implementation: Enforce MFA and least privilege across all environments.

Cybersecurity is not a destination—it’s a layered journey. Strengthen every layer with modern tools, expert guidance, and a Zero Trust mindset. Prevention is always cheaper than recovery.

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Use Cases for Artificial Intelligence

Automation of tasks, analysis of data and documents and system optimization for telecommunications are just a few of the ways AI has the potential to save time and money. Examples include: 

• Automation: AI can automate repetitive tasks including data entry and compliance checks. It can also extract data from documents and provide actionable insights. Document-heavy workflows can be automated, freeing up human capital. AI can also analyze traffic patterns to identify possible anomalies that could indicate a possible security incident. Such intelligence can help prevent an incident before one begins. 

• Analysis: With its ability to analyze vast amounts of data and gather insights, AI can help anticipate demand and help companies reduce the time it takes to create proposals, thereby saving time and shortening sales cycles. For purposes of compliance to data-protection regulations, artificial intelligence can analyze legal documents for changes in regulations. 

• Optimization: Artificial intelligence can be a great help with systems performance. From analyzing traffic patterns for ideal capacity planning to automatically adjusting bandwidth, artificial intelligence can help keep customer service operations going without interruption. Automation using artificial intelligence can detect possible equipment failure and help maintain call quality, along with automating call routing based on analytics about customer and issue type. This can help speed up call routing and keep customer service seamless.

While many business use cases exist for artificial intelligence, you will need to determine which will work best for your business. For further information and assistance, contact your trusted technology advisor today. 

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Assessing Your Company’s Attitude Toward Artificial Intelligence

It’s been found that the attitude most likely to enable transformation using AI is an “AI-first” view–making AI fundamental to your organizational culture. Openness toward artificial intelligence includes recognizing how AI will align with business mission,value and goals. But how will your company arrive at this stance? It may not happen overnight. Companies that are willing to use AI to support operations, even if it doesn’t play a central role may be able to get to “AI-first” sooner than businesses where workers are resistant to or ignorant of AI. 

A good first step, in considering getting to an AI-First stance, is to “take the pulse” of your organization. Are more people in favor of than resistant to AI use? What are their fears about AI (perhaps that their jobs will be eliminated, for example)? What about AI excites them? Perhaps it’s the ability to use AI to brainstorm ideas for content, or ask AI questions, or saving time on routine tasks? Artificial intelligence can give insights that humans may not have thought of. Another issue is how much people trust the data used in the models, and results based on that data. Having a clear idea of your organization’s stance will show you the path toward effective AI implementation.

The Role of Business Leadership

The more a company – especially its leadership –  knows about artificial intelligence and how it works, the better able it is to leverage it for business goals. At the same time, each company is different, and how AI will help support goals is different. Understanding the role AI will have will help dispel doubts and fears about the technology. What’s increasingly clear is that people interacting with AI can be more productive than humans or machines alone; once users learn this, they likely will have a more positive attitude toward AI. The way company leadership plans implementation, with clear guardrails and procedures, will help an organization embrace artificial intelligence. 

No question, Artificial Intelligence is here to stay. To learn more about what it can do to transform your business, contact your trusted technology advisor today. 

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The Two “Sides” of Artificial Intelligence

Like most technology and technological tools, AI can be used for legitimate purposes by businesses, or unlawful and harmful aims like injecting malicious code or developing sophisticated social engineering attacks by cyber criminals.

On the “good” side, AI is helpful to businesses in content generation and process automation, and sentiment can be positive. According to a recent Telarus article, Gartner predicts that spending on generative AI is expected to top $600 billion in 2025, an increase of more than 75% from last year. The article also cites McKinsey, with that firm expecting more than 92% of executives increasing investment over the next three years. Not only are executives expressing confidence, but 72% of workers see AI bringing value to their work and 70% believing that gaining AI skills will improve marketability. Worries about AI replacing humans have ebbed, but other concerns remain. 

Of course, executives and other workers are not the only ones leveraging AI– so are bad actors. Increasingly, cyber attacks involving AI include sophisticated phishing schemes that can trick even vigilant email recipients. Exploiting vulnerabilities in platforms and models to introduce malicious code and attacks such as WormGPT and FraudGPT to steal money and set up fraudulent accounts, are additional dangers, according to a Telarus article about the recent RSAC conference. The same automation capability of artificial intelligence can be used to launch attacks, as well. 

Using Artificial Intelligence to Fight Cyberattacks

Interestingly, the very technology cybercriminals use in order to create more sophisticated attacks can also defend against these attacks. Businesses can use AI to help with cybersecurity in these ways:

• Threat Detection and Response: AI can analyze vast amounts of security data in logs and network traffic to identify unusual behavior that might signal an attack.

• Patching endpoints: even small to medium-size businesses have endpoints to protect, and AI can help identify which ones are vulnerable, and automate patching, even stopping incidents before they start.

• Email Security: Machine learning algorithms can find suspicious emails that signal possible phishing schemes. 

Artificial intelligence is growing more popular with businesses and bad actors alike. To learn how to develop a plan for using AI in cybersecurity efforts, contact your trusted technology advisor today. 

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The Importance of Data Quality for AI Initiatives

Since data is the “lifeblood” of artificial intelligence, it’s vital to have the best-quality data for your company’s AI initiatives. First, data needs to be reviewed to make sure it’s consistent, free of duplicates, and as bias-free as possible. Consistency of the data, beyond its training of the models to produce accurate results, also supports team collaboration; the ability to adapt and expand AI as your company’s needs grow (scalability); making auditing and reporting easier for the purpose of regulatory compliance; and overall trust in AI’s role in business decision-making. Duplicate data can cause certain data to be given too much importance, resulting in bias. This duplication could even undermine the ability of the models to learn patterns. And errors in data could produce incorrect results, or hallucinations. 

Other Components of Data Readiness

Security of your data is a starting point. Has your company performed a data audit, searching for confidential, personal or private information, so it is safe and secure? In terms of governance, what are your underlying policies for determining how secure your data is for use by employees with AI models? Part of governance is data confidentiality and the access to data, ensuring the data doesn’t fall into the wrong hands. Managing the data is yet another component, and involves having the tools and architecture to handle the volume of data and how fast it is generated.

Consulting with a Technology Advisor

The next step could be a consultation with your technology advisor. One question to consider is your business goals and how the benefits of artificial intelligence can support these goals. You’ll also need to consider your infrastructure and if it has enough bandwidth for the demands of AI. Along with increased bandwidth, latency needs to be decreased. Also, will you keep your data on-premises, go with colocation, or with managed hosting? These options have pros and cons to consider.

Using artificial intelligence, while helping reach business goals, also requires much thought and planning. For help, contact your trusted technology advisor today.

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Artificial Intelligence Changes Threat Landscape

With all of AI’s potential, it can be used for good or for ill. Threats can become more sophisticated, including:

• Phishing: AI can be used to design highly sophisticated phishing schemes, causing an email to appear to be from a CEO authorizing actions that can result in fraud. Moreover, the usual tell-tale signs of a phishing email (like grammar and typographical errors) are eliminated, making the email seem legitimate.

• Deep Fakes: Artificial intelligence can be used to construct fake videos from audio and video clips, making a person appear to say something they never said. Your company could experience reputational damage as a result.

• Employees may unintentionally leak private or confidential information through rogue AI.

How Artificial Intelligence Can Enhance Your  Cybersecurity Posture

Even with this daunting picture, artificial intelligence also has potential for good, by bolstering cybersecurity. Since its models are trained on vast amounts of data, it automatically scans for threats with an efficiency that surpasses mere human effort. By analyzing data quickly, It can detect threats early, and keep a small abnormality from becoming a security incident. Should an attack occur, IT staff can mitigate the damage quickly.

Employee Education and Training Still Needed

According to an article by CompTIA, data collection and AI algorithms are becoming a cornerstone of cybersecurity. Even with AI’s immense power, human intervention and education are still necessary. For instance, workers will still need to know how to recognize a phishing email and follow procedures to prevent its consequences. Human oversight is still needed on the part of IT professionals who can evaluate AI’s results. Every employee still needs training in cybersecurity, since many security incidents result from human error. 

With artificial intelligence becoming central in cybersecurity, its potential is exciting. Yet, companies need to consider how big a role it will have in their business. For further guidance, contact your trusted technology advisor today.

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What is Generative AI?

Simply put, Generative AI uses machine learning models to create new content, be it text, images, code, or even audio. As CompTIA explains in their article, “What is AI?” (https://www.comptia.org/content/research/what-is-ai), AI encompasses a broad range of technologies, with Generative AI being a powerful subset focused on content creation. It’s not just about chatbots; it’s about automating tasks, boosting creativity, and unlocking new levels of efficiency.

Practical Use Cases for Your Business

Imagine automating customer service responses, generating marketing content tailored to your audience, or even creating personalized product descriptions. Generative AI can streamline workflows in numerous areas, including:

Marketing: Generating social media posts, email campaigns, and blog content.

Customer Service: Providing instant support through AI-powered chatbots.

Sales: Creating personalized sales pitches and product recommendations.

Operations: Automating data entry, report generation, and other repetitive tasks.

Software Development: Assisting with code generation and debugging.

Preparing Your Business: A Step-by-Step Approach:

Generative AI thrives on data. Before implementing any AI solutions, you need a clear understanding of your data landscape. Conduct a readiness assessment, focusing on data classification. This is critical for protecting sensitive or confidential information.

Data Classification and Security: Ensure your data is properly classified and secured. AI models can inadvertently expose sensitive data if not handled correctly. This is where your MSP’s expertise becomes invaluable.

Choose Commercial Licensed AI: While free GPT services might seem appealing, they often lack the security, control, and support needed for business applications. Commercial licensed AI solutions provide robust security features, data privacy guarantees, and dedicated support. They are designed for business use, ensuring compliance and data protection.

Implementation and Training 

Strategic Implementation: Don’t jump into AI blindly. Start with pilot projects to test and refine your approach. Focus on areas where AI can deliver the most significant impact.

Employee Training: Equip your team with the skills and knowledge to effectively use AI tools. This includes understanding the technology’s capabilities and limitations.

Partner with a Trusted Technology Advisor: Your technology service provider can guide you through the AI landscape, helping you select the right solutions and ensure seamless integration. They can also perform crucial readiness assessments and implement security measures.

Embracing Generative AI can give your business a significant competitive advantage. However, it’s essential to approach this technology strategically and with a focus on data security. Don’t hesitate to reach out to your trusted technology advisor for guidance and support. They can help you navigate the AI revolution and unlock its full potential for your business.

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Just What Are Chatbots? 

Chatbots are automated programs that use artificial intelligence to interact with humans via text, graphics, video or voice. They are programmed to help with simple, routine tasks and questions. They can vary  in sophistication to be digital assistants that can handle requests in a more personalized way as well as process information. The more sophisticated chatbots can use data to be more interactive and personalized. 

Chatbots bring value through productivity enhancements. They can augment writing, research and graphics to free up workers for more complex and strategic tasks. Where humans can only perform tasks one at a time, chatbots can handle multiple requests simultaneously, or serve multiple customers. Customer research has shown that messaging applications are becoming the preferred method for some transactions, according to an Oracle article. 

How an AI Agent Differs From a Chatbot

A higher level of sophistication is a key difference between agents and chatbots. Chatbots can certainly elevate performance by automating tasks and workflows, as long as tasks aren’t terribly complex. Agents powered by AI can be even more efficient, acting autonomously based on data, natural language programming, and machine learning.  Human workers can equip agents with algorithms, sensory inputs, data sources and even other agents to perform tasks like perceiving context, taking action (through completion), and using this experience in the future. Agents can be taught to learn, as well as tailored to set goals and act on those goals. Unlike chatbots, agents don’t depend on keywords or scripts.

Business Benefits of AI Agents

Via continuous training, along with more data, agents can even recognize when they don’t have enough information to make a solid decision, and can gather more data. They can work even outside office hours, allowing businesses to get more work done, since they aren’t prone to downtime. They can complete tasks the same way every time, increasing accuracy, like making sales calls and scheduling meetings. Agents can automate processes and save costs, and even find ways to further optimize processes to eliminate possibly costly errors for the company.

Return on Investment in AI Agents

How will you know if your use of AI agents is paying off? Are you experiencing more conversions and serving more people? How many more? How much revenue are you bringing in as a result of automation? How many minutes per customer interaction are you saving by using the agent? Spending for AI can be justified if it alters the bottom line, increasing it by at least 3% according to some experts. 

Agents and Chatbots Working Together

While perhaps it remains to be seen, agents and chatbots could work together, but for different purposes. Perhaps chatbots could take an initial question and answer it, but if the situation becomes more complex, it could be transferred to an AI agent. 

The future of artificial intelligence is exciting. Stay tuned, and keep in touch with your trusted technology advisor. 

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