Multi-Factor Authentication

Multi-Factor Authentication

80% of businesses that experienced a cyber-attack, could have avoided it had they used Multi-Factor Authentication

Source: Cyber Security Breaches Survey

Strengthen security

Ensure compliance

Implement access control

Reduce risks

Multi-Factor Authentication (MFA) helps safeguard access to data and applications while maintaining simplicity for users. MFA reduces the risk of brute force attacks, an attack whereby attackers attempt to guess passwords, and dictionary attacks. This is an attack whereby attackers attempt many passwords stored in a dictionary.

Key features

  • Provides additional security by requiring a second form of authentication.
  • Delivers strong authentication via a range of easy to use authentication methods.

The deployment of the second factor authentication will reduce the risk of cyber-criminals accessing company IT resources like emails or virtual desktops. And protects from accounts being compromised should a user inadvertently fall victim to a phishing email and provide their network credentials to a criminal.

The security of two-step verification lies in its layered approach. Compromising multiple authentication factors presents a significant challenge for attackers. Even if an attacker manages to learn the user's password, it is useless without also having possession of the additional authentication method (often a mobile phone). It works by requiring two or more of the following authentication methods:

  • Something you know (typically a password)
  • Something you have (a trusted device that is not easily duplicated, like a phone)
  • Something you are (biometrics)

Our industry leading IT services offers a range of user-friendly MFA solutions to secure Office 365, Azure, Citrix and RDS solutions.

Due to the rapid rise of cyber-crime, cyber security is of paramount importance to every business in order to minimize the risks of extortion or unplanned downtime. With staff struggling to change their complex passwords regularly or falling victor to phishing attacks where they disclose their passwords to realistic looking spoof sites, it is vital to implement an additional layer of security to compliment passwords.

Jonathan Gill, Technical Presales Engineer: Wavex Technology

Did you know that Wavex clients can review all their IT vulnerabilities across every device within APEX®?

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How we deliver this

Take your first step towards rock-solid security

  • Discuss requirements

  • Demonstration of Capabilities

  • Initial Technical Survey

  • High-Level Proposal

  • Financial Business Case / Sign-Off

  • Implementation / Deployment

  • Training

  • User-Acceptance Training & Go-Live

FAQs about Join the AI Revolution

Businesses today have access to a wide variety of AI technologies, each designed to solve specific challenges and drive efficiency, insight, and innovation. The key is selecting the right combination of AI tools that aligns with operational goals, available data, and the workflows that need enhancement. Not every AI solution fits every business, success depends on understanding the use case, potential impact, and how the AI integrates with existing systems.

Common types of AI suitable for businesses include:

  • Generative AI: Produces content, summarises documents, drafts emails, and generates reports, helping teams save time on routine writing or creative tasks.
  • Predictive analytics: Uses historical data to forecast trends, optimise inventory, predict customer behaviour, and guide strategic decision-making.
  • Natural Language Processing (NLP): Enables machines to understand and respond to human language, powering chatbots, summarisation tools, sentiment analysis, and advanced search.
  • Machine Learning: Detects patterns in large datasets to optimise processes, improve product recommendations, identify risks, or uncover hidden opportunities.
  • Robotic Process Automation (RPA): Automates repetitive, rule-based tasks across multiple systems, such as data entry, transaction processing, and workflow management.
  • Computer Vision: Analyses images and videos for applications such as quality control, security monitoring, or visual inspection in manufacturing or retail.

By working with a trusted partner like Wavex, organisations can identify the AI technologies that provide the most value, integrate them seamlessly into workflows, and scale solutions as business needs grow. With structured selection, pilot deployment, and ongoing optimisation, AI becomes a strategic enabler, delivering measurable results while maintaining security, compliance, and operational stability.

AI, today, has become a practical tool that can transform how businesses operate. By combining data analysis, automation, and machine learning, AI allows organisations to work smarter, make faster decisions, and respond to challenges more effectively. Its impact is felt across every department, from finance and HR to customer service and operations, helping teams focus on strategic priorities rather than repetitive tasks.

Beyond internal efficiency, AI helps companies enhance their competitiveness in the market. It enables better customer experiences, uncovers insights that drive innovation, and supports the adoption of data-driven strategies that can lead to measurable growth. The key to success is identifying where AI can add the most value and implementing it in a structured, well-governed way.

Practical ways AI can help businesses include:

  • Automating routine work: AI can process invoices, organise files, draft summaries, and handle repetitive administrative tasks, freeing staff to focus on higher-value projects.
  • Data-driven decision-making: By analysing large volumes of data, AI identifies patterns, predicts trends, and provides actionable insights to improve strategic planning.
  • Enhanced team collaboration: Tools like AI-driven summarisation or virtual assistants help teams access critical information faster and stay aligned across projects.
  • Smarter customer interactions: AI-powered chatbots, recommendation engines, and sentiment analysis deliver faster, personalised, and more accurate customer support.
  • Innovation and opportunity identification: AI can detect inefficiencies, predict market changes, and reveal new opportunities for products, services, or process improvements.
  • Scalability and flexibility: AI solutions can grow alongside the organisation, handling increased data volumes, expanding users, and adapting to new business needs without major infrastructure changes.

Wavex supports organisations in leveraging AI strategically, helping identify the right applications, integrate solutions with existing workflows, and monitor adoption. This ensures AI delivers measurable business outcomes while maintaining security, compliance, and operational stability.

  • Understand business objectives and challenges: Before exploring AI tools, it’s crucial to define what your organisation is trying to achieve. AI works best when it aligns with strategic priorities, whether that’s improving customer service, streamlining operations, accelerating decision-making, or uncovering new business opportunities. Taking the time to clearly map goals ensures any AI solution addresses a real business need rather than being a technology experiment.
  • Assess existing workflows and processes: Evaluate current operations to identify repetitive, manual, or error-prone tasks that can benefit from automation or AI-driven insights. Understanding the full workflow, including dependencies between teams and systems, helps highlight where AI can add the most value, and ensures that implementation won’t disrupt critical processes.
  • Evaluate data quality and readiness: AI relies heavily on data, so it’s essential to assess whether your organisation’s data is accurate, structured, and accessible. Poor-quality data can lead to inaccurate results or unreliable recommendations, so preparing and cleaning data is a foundational step before deploying any AI solution.
  • Define specific AI objectives and use cases: Narrowing down what you want AI to achieve is key to a successful deployment. Examples include summarising emails to save time, automating reporting, predicting sales trends, or assisting customer support teams. Clear objectives allow you to measure impact, prioritise resources, and ensure that AI adoption translates directly into tangible benefits.
  • Address risks and governance considerations: AI adoption comes with challenges, including data privacy, security, regulatory compliance, and change management. Planning for these early ensures the organisation can maintain control, prevent misuse, and build trust among employees while safeguarding sensitive information.
  • Develop a phased adoption roadmap: Implement AI incrementally, starting with high-priority use cases. By deploying AI in stages, your organisation can learn from each phase, adapt processes, and expand the solution progressively. This approach reduces disruption, manages investment risk, and allows teams to gain confidence in the technology.
  • Continuous monitoring and optimisation: AI adoption is an ongoing process. Regularly measuring performance, tracking ROI, and refining algorithms or workflows ensures that the solutions remain effective, relevant, and aligned with evolving business objectives. Over time, this allows AI to deliver increasing value and supports long-term digital transformation.

Wavex works closely with organisations to guide every stage of this process, from readiness assessments and pilot deployments to phased adoption and ongoing optimisation. This structured approach ensures AI is integrated securely, adopted effectively, and aligned with business priorities, ultimately delivering measurable results and sustainable value.