Are you seeking to significantly boost the profitability of your AI security solutions venture? Navigating the dynamic landscape of artificial intelligence and cybersecurity demands a strategic approach to maximize revenue and operational efficiency. Discover nine powerful strategies that can transform your business's financial outlook, ensuring sustainable growth and a competitive edge, and explore robust financial planning tools like the AI Security Solutions Financial Model to guide your journey.
Increasing Profit Strategies
To significantly boost the profitability of an AI Security Solutions business, a multi-faceted approach focusing on customer value, operational efficiency, and new revenue streams is essential. The following table outlines key strategies and their potential financial impacts, derived from industry insights and best practices.
| Strategy | Impact |
|---|---|
| Attract and Retain High-Value Customers | Demonstrating a clear ROI can protect against costly breaches, with the average cost of a data breach for small businesses in North America being approximately USD 33 million. |
| AI-Powered Automation for Security Operations | AI-enabled systems have the potential to reduce incident response costs by up to 25%, and accelerate incident response times by 22%. MSPs earning 15% or higher margins are more likely to have advanced security services. |
| Role of Managed Security Services | Successful MSSPs can achieve gross margins of 45-55% from managed services. A 2023 survey revealed that 87% of MSSPs expected to be profitable, with top performers anticipating average revenues of $563 million. |
| Build a Strong Value Proposition | AI-driven personalization can boost revenue by 5-15% in some sectors by optimizing emotional appeal and effectiveness. |
| Cybersecurity Awareness as a Profit Center | The human element is involved in 74% of all data breaches, highlighting the critical need for employee education. Offering this service can lead to reduced cyber insurance premiums for clients. |
What is the Profit Potential of AI Security Solutions?
The profit potential for AI security solutions is substantial and rapidly expanding. The global AI in cybersecurity market was valued at USD 25.40 billion in 2024 and is projected to reach an impressive USD 219.53 billion by 2034, demonstrating a compound annual growth rate (CAGR) of 24.1%. This robust cybersecurity revenue growth is driven by the increasing frequency and sophistication of cyber threats, which are expected to cost the global economy $10.5 trillion annually by 2025. This urgent need for advanced protection underscores the immense profitability for businesses like Sentinel AI.
North America currently holds the largest market share for AI in cybersecurity, benefiting from its advanced technological infrastructure and the presence of major cybersecurity firms. In 2024, the overall cybersecurity market in North America accounted for over 35.0% of the global market, which reached USD 299.6 billion. This regional dominance highlights a mature yet still growing market for AI security profitability, offering significant opportunities for firms to increase business profits.
The demand for AI-powered security solutions is surging as businesses grapple with an overwhelming volume of security alerts and a persistent shortage of skilled cybersecurity professionals. There is an estimated 3.5 million unfilled cybersecurity jobs by the end of 2025. AI-driven solutions significantly enhance threat detection efficiency, with a meta-analysis showing an average accuracy of over 92% in detecting spam, malware, and network intrusions. This efficiency translates directly into tangible value for clients, making AI security solutions highly desirable.
Managed Security Service Providers (MSSPs) that leverage AI are experiencing significant revenue growth. Top MSSPs expected to generate an average of $563 million in revenue for 2023, a substantial increase from the $47 million reported in 2022. Furthermore, a remarkable 87% of MSSPs surveyed expected to be profitable in 2023. This data, as further explored in articles like How Much Do AI Security Solutions Business Owners Make?, confirms the strong financial performance and high profitability potential within the Managed Security Service Provider (MSSP) sector when adopting AI. This trend positions AI-centric security companies for strong, sustained profitability.
How Can An Ai Security Business Increase Its Profits?
An AI security business, like Sentinel AI, can significantly increase its profits by strategically focusing on key areas: enhancing operational efficiency, adopting smart pricing models, and expanding its service offerings. Implementing AI-driven analytics, for instance, can lead to substantial improvements. These tools are proven to improve incident response times by up to 25% and reduce overall operational costs by as much as 15%. This dual benefit of faster service delivery and lower expenses directly boosts the bottom line, making the business more competitive and profitable.
Expanding service offerings through tiered and bundled packages creates significant opportunities for upselling and cross-selling. For example, bundling essential services like disaster recovery as a service (DRaaS) with cloud backup solutions can increase client retention and average revenue per client. Managed security services (MSS) are particularly profitable, yielding gross margins of 45-55%, a stark contrast to the 10-20% margins typically seen from simple product resale. This shift towards comprehensive, ongoing service provision ensures a stable, recurring revenue stream.
Key Profit-Boosting Strategies for AI Security Businesses
- Invest in Automation Technology: Automating routine security tasks enhances productivity and enables the delivery of premium services. Solutions like managed detection and response (MDR), which demand higher fees, become feasible. High-margin Managed Service Providers (MSPs) often differentiate themselves by focusing on these advanced services.
- Develop New Revenue Streams: Businesses can transform traditional cost centers into profit generators. Offering cybersecurity awareness as a service is a prime example. Developing and selling cybersecurity training programs to other organizations capitalizes on the widespread need to upskill employees, turning internal expertise into a marketable product. This can be a key strategy for increasing cybersecurity revenue growth.
- Optimize Pricing Models: Employing tiered pricing and bundling complementary services maximizes profit for AI security products. This allows customers to choose packages fitting their needs while creating clear upsell paths. Value-based pricing, focusing on security outcomes rather than just technology, justifies higher prices by demonstrating clear ROI to clients.
Investing in technology that automates tasks is crucial for enhancing productivity and enabling the provision of premium services. This focus on advanced offerings, such as managed detection and response (MDR), allows businesses to justify higher fees. Such strategies are key differentiators for high-margin MSPs. For more insights on how these businesses operate, you might find articles like this one on owner earnings in AI security solutions insightful.
What Are The Most Profitable AI Security Services?
Identifying the most profitable services is crucial for any AI security solutions business aiming to maximize its cybersecurity revenue growth. Certain offerings consistently demonstrate higher profit margins due to their recurring nature, specialized expertise requirements, and critical value to clients. These services often leverage advanced AI capabilities to provide superior protection and efficiency, making them highly sought after in the market.
Managed Security Services (MSS) stand out as a top contender for profitability. Successful Managed Service Providers (MSPs) offering MSS can generate gross margins ranging from 45% to 55%. This high profitability stems from the recurring revenue model and the ability to scale these services effectively across multiple clients. MSS typically includes continuous monitoring, threat detection, and incident response, which are essential for businesses lacking in-house cybersecurity expertise.
Key Profitable AI Security Services:
- Managed Security Services (MSS): These services provide ongoing monitoring, threat detection, and incident response, yielding gross margins of 45-55% for MSPs. They offer a stable, recurring revenue stream.
- AI-Based Threat Detection and Response: Solutions leveraging AI for advanced threat detection are highly valuable. For example, AI-based threat detection services from companies like Palo Alto Networks saw a 30% increase in demand in 2023, highlighting a strong market for proactive security.
- Cybersecurity-as-a-Service (CaaS): This model allows businesses to offer their specialized in-house expertise to external clients. CaaS offerings can encompass threat monitoring, incident response, and security consulting, creating significant profit opportunities by transforming internal capabilities into external revenue streams.
- Cloud Security Solutions: With the widespread shift to cloud computing, demand for sophisticated cloud security solutions is growing rapidly. This includes services like multi-factor authentication (MFA) and Secure Access Service Edge (SASE) frameworks, which are critical for protecting distributed data and systems in cloud environments.
Focusing on these high-margin services allows an AI security business like Sentinel AI to build a strong, sustainable profit foundation. By delivering advanced, AI-driven solutions that address critical client needs, companies can ensure consistent profitability and market leadership in the evolving cybersecurity landscape.
How To Effectively Market Ai Security Solutions To Increase Sales?
To effectively market AI Security Solutions, such as those offered by Sentinel AI, businesses must clearly communicate tangible benefits and build strong customer trust. Focusing on a value proposition that highlights concrete, measurable results is essential. For instance, demonstrating how AI-driven solutions increase efficiency and reduce operational costs resonates strongly with potential clients. Building trust is paramount in cybersecurity, achieved by showcasing customer success stories and testimonials, which provide social proof and credibility.
A key marketing strategy involves defining a clear value proposition. This summarizes what the AI security solution does, the specific problem it solves for the customer, and its unique advantages over competitors. For Sentinel AI, this means emphasizing its predictive AI capabilities and automated protection, ensuring continuous operational integrity and data security for organizations. A well-defined value proposition helps target the right audience with a tailored, impactful message, ensuring marketing efforts are efficient and effective in driving cybersecurity revenue growth.
Multi-Channel Educational Approach for AI Security Marketing
- Informative Content: Employ a multi-channel educational approach to prime potential customers. This includes creating valuable content like blog posts, white papers, and webinars. These resources should explain the 'who, what, why, and how' of AI security, similar to a detailed infomercial, breaking down complex topics into understandable insights.
- Problem Solving Focus: Content should focus on addressing common pain points businesses face, such as the increasing sophistication of cyber threats and the shortage of skilled cybersecurity professionals. Highlighting how AI security solutions provide automated threat detection and incident response can attract businesses seeking streamlined planning solutions.
- Case Studies and Demos: Utilize case studies to illustrate how AI security solutions have successfully prevented breaches or significantly improved security postures for other businesses. Live demonstrations or interactive webinars can also effectively showcase the capabilities of AI-driven cybersecurity products, leading to increased customer acquisition.
Leveraging AI-powered tools for marketing and sales can significantly enhance efficiency in promoting AI security solutions. While AI can automate tasks like lead generation, personalized outreach, and initial customer qualification, the human element of building trust and relationships remains critical. A strong go-to-market strategy for AI security balances automation with personalized engagement, especially for closing complex cybersecurity sales. This dual approach helps companies like Sentinel AI maximize their surface area for customer engagement and ultimately increase sales, contributing to overall AI security profitability. For more insights into the costs and potential profits of AI security solutions, exploring resources like financialmodel.net/blogs/cost-open/ai-security-solutions can be beneficial.
What Pricing Strategies Maximize Profit For AI Security Products?
Maximizing profit for AI security solutions, like those offered by Sentinel AI, involves strategic pricing models that align with customer value and market demand. A tiered pricing model is highly effective, allowing customers to choose service levels that fit their specific needs and budget. This approach also creates clear opportunities for upselling and cross-selling, driving higher average revenue per user. For example, a basic tier might include AI-powered threat detection, while advanced tiers add features like automated incident response or predictive analytics.
Bundling complementary services is another powerful strategy to increase perceived value and secure higher recurring revenue. Combining endpoint protection with threat intelligence, or offering a package that includes both cloud security and network monitoring, can enhance customer stickiness. Businesses can also implement premium pricing for advanced, AI-driven security services that provide superior protection and efficiency. Solutions with built-in advanced security features, such as those leveraging machine learning for anomaly detection, justify higher fees due to their enhanced capabilities and proactive defense. This aligns with the need to secure digital futures with unmatched foresight.
Key Pricing Strategies for AI Security
- Tiered Pricing: Offer different service levels (e.g., basic, premium, enterprise) to cater to varied customer budgets and needs, creating clear upsell paths.
- Bundling Services: Combine multiple complementary solutions, such as AI-driven threat detection with managed detection and response (MDR), to increase perceived value and customer retention.
- Premium Pricing: Charge higher rates for advanced, AI-driven features that offer superior protection and efficiency, reflecting their enhanced value.
- Value-Based Pricing (for MSSPs): Focus on the security outcomes delivered rather than just the technology. This approach allows Managed Security Service Providers (MSSPs) to justify higher prices by demonstrating clear return on investment (ROI) to clients, such as a reduction in breach costs or compliance adherence. This can lead to substantial profitability, with successful MSSPs achieving gross margins of 45-55% from managed services. More insights on profitability can be found at financialmodel.net.
How Can Operational Efficiency Boost Profits For A Security Business?
Operational efficiency directly boosts profits for an AI security solutions business like Sentinel AI by significantly reducing overhead and streamlining workflows. This approach cuts direct costs and enhances employee productivity. For security firms, labor costs represent a substantial portion of expenses. Therefore, optimizing personnel deployment through advanced technology can lead to considerable savings and increased profitability, allowing businesses to scale effectively without proportional increases in staffing.
Implementing technology, particularly AI-driven analytics and security workforce management platforms, is crucial for improving operational efficiency. These advanced tools are not just theoretical; they deliver measurable results. For instance, such platforms can lead to a 15% reduction in overall operational costs and a remarkable 25% improvement in incident response times. This efficiency gain means Sentinel AI can handle more security incidents with greater speed and precision, enhancing client satisfaction and service quality.
Automating routine tasks is another powerful lever for boosting profits. Activities such as patching, vulnerability scanning, and continuous monitoring can be largely automated by AI-driven systems. This automation frees up skilled security professionals to focus on higher-value activities, such as complex threat analysis, strategic planning, and client-specific consultations. This not only improves the overall quality of security services but also reduces the need for additional hiring, directly impacting the bottom line. For more on managing these costs, refer to articles like the cost of opening an AI security solutions business.
Key Areas Where Efficiency Drives Profit:
- Cost Reduction: Streamlining processes lowers expenses associated with manual labor and resource allocation.
- Productivity Gains: Automation allows existing teams to accomplish more, handling a larger client base or more complex threats.
- Improved Service Quality: Faster response times and fewer human errors lead to higher client satisfaction and retention.
- Strategic Focus: Security professionals can dedicate time to innovation and proactive defense strategies, developing new profitable services.
Efficient back-office operations are equally vital for boosting profits. This includes accurate financial data management and comprehensive analytics. By maintaining tight control over administrative costs and preventing issues like payroll errors or scheduling conflicts, businesses ensure smooth operations. These efficiencies contribute to both client satisfaction and employee retention, solidifying the foundation for sustained profitability in the competitive AI security market.
What Are The Key Drivers Of Revenue Growth In The Cybersecurity Market?
Revenue growth in the cybersecurity market is primarily driven by the escalating number and increasing sophistication of cyber threats. Businesses worldwide are facing an unprecedented level of risk. For example, the global cost of cybercrime is projected to reach an astounding $10.5 trillion annually by 2025. This dire forecast compels organizations, regardless of size, to significantly increase their investments in robust security measures. Solutions like Sentinel AI, which offers intelligent, predictive AI defenses, become essential for proactive protection against these evolving threats.
Digital transformation also acts as a major catalyst for revenue growth. The rapid adoption of technologies such as cloud computing, the Internet of Things (IoT), and artificial intelligence (AI) is constantly expanding the digital attack surface for businesses. As more operations move online and more devices connect to networks, the need for advanced security solutions intensifies. This broadens the market for specialized AI security solutions that can protect these new, complex environments.
Regulatory Compliance and Remote Work Trends Fuel Demand
- Increasingly stringent government regulations and data privacy laws, such as GDPR (General Data Protection Regulation) and CCPA (California Consumer Privacy Act), are forcing organizations to invest heavily in robust cybersecurity measures to ensure compliance. Non-compliance can lead to severe penalties and reputational damage, making security an unavoidable cost for businesses.
- The growing global trend towards remote work has created new and significant security challenges for corporations. Distributed workforces access sensitive data from various locations and devices, leading to a surge in demand for solutions that can effectively protect these distributed data and systems. This shift has made securing endpoints and cloud access a top priority, boosting the market for AI Security Solutions. For more insights on the market, you can refer to articles like AI Security Solutions: Opening Costs and Profit Potential.
How to Attract and Retain High-Value Customers for AI Security Solutions?
Attracting and retaining high-value customers for AI security solutions like Sentinel AI requires a focused approach on demonstrating unique value and building trust. High-value clients seek robust protection and clear returns on their cybersecurity investments. The core strategy involves showcasing how proactive AI defenses prevent costly breaches and ensure operational continuity, which directly addresses their critical business needs.
Building a Strong Value Proposition for AI Security
A strong value proposition is fundamental for attracting and retaining high-value clients. For AI security solutions, this means clearly articulating the unique benefits and the transformative impact your services provide. Sentinel AI, for instance, offers enhanced protection and operational peace of mind through intelligent, predictive AI solutions. This moves beyond merely listing features to emphasizing the tangible outcomes, such as proactive defense against next-generation cyber threats and ensuring continuous operational integrity and data security for businesses.
Offering Personalized Security Consultations
Personalized security consultations are crucial for building trust and tailoring AI security solutions to specific client needs. This approach helps attract and keep high-value clients by demonstrating a deep understanding of their unique challenges. For example, using data-backed recommendations derived from comprehensive IT assessments can instill significant confidence in your expertise. These consultations allow Sentinel AI to showcase how its predictive AI solutions can be customized to fit an organization's specific digital infrastructure and risk profile, making the value immediately apparent.
Demonstrating Clear ROI and Risk Avoidance
Highlighting a clear return on investment (ROI) and emphasizing risk avoidance are powerful tactics for attracting high-value customers. Frame conversations around how AI security solutions protect against costly breaches. For example, the average cost of a data breach for small businesses in North America is approximately USD 3.3 million, according to recent industry reports. By preventing such incidents, AI security provides substantial financial benefits. Sentinel AI's proactive defense capabilities directly reduce the likelihood of these expensive disruptions, making it an essential investment rather than just an expense.
Ensuring Excellent Customer Support and Referral Programs
Providing excellent, responsive 24/7 customer support is crucial for retaining high-value clients in the AI security sector. Consistent availability and quick resolution of issues build strong relationships and foster loyalty. Additionally, implementing a robust referral program can leverage existing satisfied customers to bring in new high-value clients. This fosters a sense of community and trust, as new clients are onboarded through credible recommendations. Sentinel AI can benefit significantly from word-of-mouth referrals from clients who have experienced its unmatched foresight and automated protection firsthand.
How Can AI-Powered Automation Increase the Profitability of Security Operations?
AI-powered automation directly boosts the profitability of AI security solutions businesses like Sentinel AI by significantly improving operational efficiency and reducing costs. By automating routine and time-consuming tasks, security teams can handle a greater volume of work with fewer resources. This includes activities such as log analysis, which can involve sifting through millions of events, automated patch management to ensure systems are up-to-date, and continuous malware scanning. This reduction in manual effort translates into lower labor costs and increased capacity for high-value tasks, contributing to overall cybersecurity revenue growth.
Profitability Drivers through AI Automation
- Cost Reduction: Automating tasks like threat detection and vulnerability assessments means fewer human hours are needed. This directly lowers operational expenses, increasing net profit margins.
- Enhanced Service Offerings: Automation enables businesses to offer advanced, higher-margin services. Managed Detection and Response (MDR) and AI-driven threat protection are examples that command premium prices. Many Managed Security Service Providers (MSSPs) earning 15% or higher margins typically feature such advanced security services in their portfolio.
- Reduced Human Error: AI-driven automation minimizes the likelihood of human error in critical security configurations and incident responses. This prevents costly security incidents and protects a company's reputation, leading to more reliable service delivery and higher client retention.
- Faster Incident Response: AI-powered systems accelerate incident response times. Some reports indicate a 22% improvement in speed. This minimizes the potential impact and cost of a breach, with AI-enabled systems having the potential to reduce incident response costs by up to 25%. Quick resolution preserves client trust and reduces financial liabilities.
For an AI security solutions business, integrating AI-driven automation into every facet of security operations is a core strategy to increase business profits. This approach allows for a scalable and profitable security business model, transforming how services are delivered and priced. It directly impacts the return on investment (ROI) of AI security investments by making operations leaner and more effective, enhancing the value proposition for clients seeking advanced protection against evolving cyber threats.
What Is The Role Of Managed Security Services In Business Profitability?
Managed Security Service Providers (MSSPs) are pivotal in enhancing the profitability of businesses, particularly those offering AI security solutions like Sentinel AI. They deliver specialized, cost-effective security services that generate high-margin, recurring revenue streams. Successful MSSPs can achieve significant financial returns, with gross margins often ranging from 45% to 55% specifically from their managed services offerings. This robust margin reflects the value and efficiency MSSPs bring to the cybersecurity landscape.
MSSPs enable businesses to scale their security operations without the heavy upfront investment and continuous costs associated with building and maintaining an in-house security team. This model is especially valuable given the persistent global shortage of cybersecurity talent, which makes recruiting and retaining skilled professionals challenging and expensive. By outsourcing to an MSSP, companies can access expert threat detection and response capabilities immediately.
Bundling various AI security solutions and services is a core strategy for MSSPs to increase client value. This approach leads to higher customer retention rates and opens up opportunities for upselling and cross-selling additional profitable services, such as advanced threat intelligence or cloud security solutions. A 2023 survey highlighted the strong financial performance in this sector, revealing that 87% of MSSPs expected to be profitable. Top performers in the managed security services sector anticipated average revenues of $563 million, underscoring the strong profitability potential within this model.
Key Profit Drivers for AI Security MSSPs
- Recurring Revenue Model: Managed services provide predictable, consistent income streams, crucial for long-term AI security profitability.
- Operational Efficiency: Leveraging shared resources and automated processes reduces operational costs per client, boosting overall profit margins.
- Scalability: Easily expand services to more clients without proportional increases in overhead, improving enterprise AI security profit maximization.
- Customer Lifetime Value (CLTV): High retention rates and opportunities for upselling cybersecurity services to existing clients significantly increase CLTV.
- Specialized Expertise: Offering niche AI-powered threat intelligence or cybersecurity-as-a-service allows for premium pricing and strong value propositions.
How to Build a Strong Value Proposition for an AI Security Solutions Company?
A strong value proposition for an AI Security Solutions company like Sentinel AI clearly articulates the unique benefits and value delivered to a specific target audience. It moves beyond listing features, instead focusing on the transformation customers will experience. For instance, Sentinel AI empowers organizations to achieve confident protection against cyber threats, ensuring continuous operational integrity and data security.
To build this, a company must first gather and analyze crucial data. This includes customer feedback, sales reports, and competitor insights. This information helps understand the market landscape and customer needs, allowing the message to be tailored to specific segments seeking AI security solutions. Understanding pain points, such as the increasing sophistication of cyber threats, is vital for crafting a compelling proposition.
Key Steps to Refine Your Value Proposition
- Emphasize Uniqueness: Highlight what makes your AI security profitability approach different. For Sentinel AI, this is its intelligent, predictive AI proactively defending against next-generation threats.
- Ensure Clarity: The message must be easy to understand and resonate immediately. Avoid jargon where possible.
- Utilize AI-Driven Tools: AI tools can help generate and test multiple variations of the value proposition. Studies show that AI-driven personalization can boost revenue by 5-15% in some sectors by optimizing emotional appeal and effectiveness. This aids in cybersecurity revenue growth.
- Address Common Concerns: Include elements like transparent pricing, user-friendly systems, and responsive 24/7 support. These factors directly address common customer concerns and differentiate the company from competitors, contributing to customer acquisition and retention.
Focusing on the transformation, not just the technology, helps businesses understand the financial benefits of AI in cybersecurity. For Sentinel AI, this means securing their digital future with unmatched foresight and automated protection. This approach helps attract and retain high-value customers for an AI security business, driving overall increase business profits.
How Can Cybersecurity Awareness As A Service Become A Profit Center?
Cybersecurity awareness as a service represents a significant opportunity for AI security solutions providers like Sentinel AI to establish a new, recurring revenue stream. Many organizations lack the internal expertise and resources to develop effective, up-to-date security training programs for their employees. By offering specialized training, businesses can tap into this critical market need, moving beyond traditional product sales to provide an ongoing, high-value service.
This service directly addresses a major vulnerability in organizational security. Statistics show that the human element is involved in 74% of all data breaches. This highlights employee education as a critical, often overlooked, component of any robust security strategy. Providing this training helps clients strengthen their weakest link, making their overall security posture more resilient against sophisticated threats detected by AI security solutions.
Key Profit Drivers for Cybersecurity Awareness as a Service
- Regulatory Compliance: Offering security awareness training helps clients meet stringent regulatory compliance requirements, such as SOC 2. These mandates often require regular information security training for all employees. Non-compliance can lead to slower sales cycles or even penalties for clients, making this service highly valuable and a strong selling point for Sentinel AI.
- Reduced Cyber Insurance Premiums: A tangible financial benefit for clients is the potential for reduced cyber insurance premiums. Insurers increasingly recognize the importance of employee training in mitigating risk. By demonstrating a proactive approach to human-centric security, clients can often negotiate lower rates, providing a clear return on investment for the awareness service.
- Recurring Revenue Model: Unlike one-time software sales, cybersecurity awareness as a service creates a predictable, recurring revenue stream. This model supports steady cybersecurity revenue growth and improves AI security profitability, allowing for better long-term financial planning and investment in new threat detection technologies.
- Market Demand: The continuous evolution of cyber threats means employee education is not a one-off task but an ongoing necessity. This creates sustained demand for updated training modules and regular refreshers, ensuring continuous customer acquisition and retention for Sentinel AI's profitable AI security product offerings.
By positioning cybersecurity awareness as a service, AI security solutions companies can diversify their offerings and enhance their value proposition. This strategy helps increase business profits by providing a necessary service that complements core AI-driven cybersecurity defenses, ensuring clients are protected from both technological vulnerabilities and human error.