Insights

In today’s cybersecurity landscape, organizations invest heavily in advanced security tools and architectures such as firewalls, encryption, detection systems, and more. While these defenses stop many threats, there’s one attack vector that routinely bypasses technical defenses: social engineering.    

For executive and security leadership, this issue goes beyond IT.  It affects revenue continuity, brand trust, shareholder value, regulatory exposure, and leadership credibility.       

At the end of the day, your employees are the last line of defense when technology cannot recognize deception. If your people are not trained, vigilant, and aligned with security protocols, a single manipulated click or crafted email can lead to devastating operational and financial consequences.

On September 17th, PulseOne hosted our live Copilot event—The AI Advantage: Unleashing Copilot Agents Across Microsoft 365 and Dynamics 365—at Microsoft’s Tech Center in Irvine. With clear skies and a full room of attendees, the day was a great opportunity to learn, connect, and explore how AI is transforming the way we work. We’d like to extend our thanks to everyone who joined us in person and to those who supported behind the scenes. For those who couldn’t attend, here’s a detailed look back at the highlights.

At PulseOne, relationships are just as important as technology. And for over five years, Eric Anzalone has been at the heart of those relationships as the company’s Client Success Manager.

In this episode, Chad speaks with Andrew Evers, CTO of Infrascale, to discuss cloud-based data protection and disaster recovery for SMBs. Andrew has over two decades of experience in automation and product development, and has led teams in information technology, security, and regulated operations for several industries.

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.

As generative AI tools like Microsoft Copilot, ChatGPT, and Google Gemini become increasingly integrated into our daily workflows, they’re transforming how employees write, code, research, and collaborate. Their efficiency and accessibility make them indispensable in many industries, but their rapid adoption also brings a new layer of risk. Every time a user interacts with one of these platforms by asking a question, pasting in a document, or sharing snippets of proprietary code, there’s potential for sensitive data to slip into environments outside the organization’s control.

As artificial intelligence continues to transform the business landscape, today’s CEOs face critical decisions surrounding AI's role in the workplace. To navigate this rapidly evolving environment, it’s essential for leaders to have a clear grasp of the most important AI terminology and foundational concepts. Understanding what AI models are, what they can actually deliver for your business, the considerations for their secure implementation, and how to strategically leverage these technologies are now critical skills for executive leadership.

Join PulseOne on September 17th for a live event at the Microsoft Tech Center in Irvine, "The AI Advantage: Unleashing Copilot Agents Across Microsoft 365 and Dynamics 365". The event will feature speakers from Microsoft, Queue Associates, AvePoint, TouchBrick, and PulseOne to deliver insights and real-world strategies for integrating Copilot capabilities into your Microsoft 365 and Dynamics 365 workflows.

In this episode, Chad talks with Jason Melo, CTO and Co-Founder of TouchBrick, to explore its solution that strengthens organizational data security when working with generative AI chatbots. Jason holds over 15 years of expertise in developing secure, scalable systems across web, mobile, AI, blockchain, and cloud platforms.

Part 4 of 4:

As small and mid-sized businesses (SMBs) increasingly leverage data for AI initiatives, they face a critical challenge: how to utilize sensitive information while maintaining privacy, security, and compliance. Traditional approaches like redaction—simply removing or masking sensitive elements—often strip data of its utility for AI training and analysis.