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Compliance

The CIA Triad for Business Executives: Understanding Confidentiality

Part One

When most people hear “CIA,” they think of government intelligence. In cybersecurity, though, the CIA Triad stands for something every organization depends on: Confidentiality, Integrity, and Availability. These three principles form the foundation of how businesses protect and manage information and they support trust between you, your customers, and your partners.

This first part in our series dives into Confidentiality, the concept of protecting sensitive business data from falling into the wrong hands. When confidentiality breaks down, it’s not just an IT problem; it’s a business risk that can lead to financial loss, legal exposure, and reputational damage.

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Understanding VoIP (Voice over Internet Protocol) and Messaging Vulnerabilities

Part One

You may think of email, firewalls, or endpoint protection when you imagine your security perimeter. But in today’s world, voice calls, chat apps, and real-time collaboration tools are equally rich targets for attack. Every call, every message, and every digital conversation is a potential point of compromise. Secure messaging and VoIP (Voice over Internet Protocol) create a critical barrier between your systems and your people, the final line of defense. By securing how your teams communicate, you help ensure that human trust can’t be turned into an attacker’s greatest weapon.

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Understanding the CMMC: A Practical Guide for SMBs Working with the DoD

If your business works with the U.S. Department of Defense (DoD), the Cybersecurity Maturity Model Certification (CMMC) is something you can’t afford to ignore. CMMC was designed to make sure that contractors and subcontractors who handle sensitive government data, such as Federal Contract Information (FCI) or Controlled Unclassified Information (CUI), have the right protections in place.

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Understanding and Mitigating Risks in AI Training Data

Part 3 of 4:

As AI adoption accelerates among small and mid-sized businesses, the focus often centers on capabilities and benefits. However, equally important—yet frequently overlooked—are the significant risks associated with AI training data. From compliance violations to bias perpetuation, the data you use to train AI systems can introduce substantial business, legal, and reputational risks.

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