TouchPoint Networks Helps Businesses Harness AI Without Exposing Sensitive Data
July 10th, 2026 by admin
Leading MTSP Explains New Secure AI Platform for SMBs
PORTLAND, OR - TouchPoint Networks, a leading managed technology services provider (MTSP), announced today, that the company has is providing small to mid-sized business and nonprofits artificial intelligence tools without exposing their organizations to the common security risks posed by the most popular platforms. As organizations have adopted AI tools like ChatGPT, Claude, Grok, Claude, and Copilot, their employees are unknowingly creating a major security risk: exposing sensitive information to public AI technologies. TouchPoint Networks now provides an all-encompassing AI solution that combines all of the popular tools with the highest level of security.
In January 2026, BlackFog found that 86% of workers use AI at least weekly for work tasks and 49% of workers admit using AI tools at work without employer approval. Whether workers are using these tools to conduct searches, create documents or enter organization information they are doing it in a risky manner because none of the tools are secure. Most organizations have invested in cybersecurity. They have implemented firewalls, endpoint protection, Multi-Factor Authentication (MFA), email security, backup systems, and network monitoring. However, most are now unknowingly bypassing all of those protections the moment workers begin interacting with an unsecured public AI tool.
In other words, organizations may spend years fortifying the front door of their IT network, only to have workers unintentionally “hand the keys” to sensitive information directly to public AI platforms, exposing the organization to liability, security issues and hackers.
“Organizations have worked incredibly hard to secure their networks and protect their data like financial, employee, and customer information,” said Gary Gonzalez, President of TouchPoint Networks. “The challenge now is that workers are using AI tools independently, often without realizing the potential consequences of where that data is going.”
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