Courant
We partner with businesses located in Greater New Orleans to offer comprehensive technology solutions. Our expertise includes setting up and maintaining computer networks, data backup and recovery, cybersecurity protection, and Voice over IP telecom services.
We work closely with our clients support their business needs. Our primary goal is to handle all aspects of our clients’ technology so that they can focus on running their business.
Because data security is vital, we provide various cybersecurity protection tools. These include software, Dark Web monitoring, and employee training.
As computer hackers are aggressively attacking businesses of all sizes, we arm our clients with state-of-the-art products and services. These run the gamut from protections against many forms of cyber-attacks, including phishing emails, malware, and viruses. Our focus is on preventing a data breach in the first place.
Technology Upgrade: 7 Warning Signs It’s Time to Act
This guide walks you through the genuine warning signs that indicate a technology upgrade is necessary, not optional.
This guide walks you through the genuine warning signs that indicate a technology upgrade is necessary, not optional.
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Hidden IT Costs That Blow Up Your Budget (And How to Avoid Them)
Hidden IT costs like downtime, security breaches, cloud sprawl, and unused subscriptions quietly blow up your budget. Learn the 8 most common hidden IT costs and how to avoid them.
Hidden IT costs like downtime, security breaches, cloud sprawl, and unused subscriptions quietly blow up your budget. Learn the 8 most common hidden IT costs and how to avoid them.
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IT Budgeting for Small Businesses: Connecting Technology Spending to Business Growth
This guide walks you through building an IT budget that makes sense financially and strategically, so you can move forward with confidence and the support of your co-leaders.
This guide walks you through building an IT budget that makes sense financially and strategically, so you can move forward with confidence and the support of your co-leaders.
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How Managed IT Services Help You Stay Audit Ready
Businesses that use managed IT services build compliance into their daily operations.
Businesses that use managed IT services build compliance into their daily operations.
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Compliance for Small Businesses: A Practical Starting Point
In this post, we'll walk you through what compliance for small businesses actually means, which requirements apply to you, and how to take your first practical steps without overwhelm.
In this post, we'll walk you through what compliance for small businesses actually means, which requirements apply to you, and how to take your first practical steps without overwhelm.
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Data Privacy Regulations Every Business Owner Should Understand
This guide breaks down the data privacy regulations you need to know, common mistakes that expose businesses to risk, and practical steps to build a sustainable compliance foundation.
This guide breaks down the data privacy regulations you need to know, common mistakes that expose businesses to risk, and practical steps to build a sustainable compliance foundation.
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AI Governance: Building a Framework for Secure Business AI Adoption
This guide walks business leaders through the essential elements of AI governance, from risk assessment to policy development, so you can adopt AI tools confidently and securely.
This guide walks business leaders through the essential elements of AI governance, from risk assessment to policy development, so you can adopt AI tools confidently and securely.
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AI Security and Compliance: How Businesses Can Adopt AI Without Losing Control
AI security and compliance isn't one-size-fits-all. Your obligations depend on your industry, location, and the types of data you handle. However, most businesses need to consider a few key areas. Data privacy laws vary by region and industry. The EU's GDPR sets strict rules around how personal data is collected, stored, and processed. U.S. states like California, Virginia, and others have passed their own privacy laws. If you serve clients or customers in these regions, you likely need to comply. These laws often require that data be processed securely, that individuals have rights over their
AI security and compliance isn't one-size-fits-all. Your obligations depend on your industry, location, and the types of data you handle. However, most businesses need to consider a few key areas. Data privacy laws vary by region and industry. The EU's GDPR sets strict rules around how personal data is collected, stored, and processed. U.S. states like California, Virginia, and others have passed their own privacy laws. If you serve clients or customers in these regions, you likely need to comply. These laws often require that data be processed securely, that individuals have rights over their data, and that any third parties you work with (including AI vendors) meet security standards.
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How to Create an AI Use Policy for Your Business: A 9-Step Guide
Many business owners assume their existing IT security policies cover AI. They don't. Traditional policies were written for email, file storage, and software licenses, not for tools that learn from data, generate content, and operate across public cloud platforms. An AI use policy fills that gap. It clarifies which AI tools employees can use, which data they can input, and what guardrails apply to different roles and departments. More importantly, it demonstrates due diligence if something goes wrong. If a client's confidential information ends up in a public AI model because an employee didn
Many business owners assume their existing IT security policies cover AI. They don't. Traditional policies were written for email, file storage, and software licenses, not for tools that learn from data, generate content, and operate across public cloud platforms. An AI use policy fills that gap. It clarifies which AI tools employees can use, which data they can input, and what guardrails apply to different roles and departments. More importantly, it demonstrates due diligence if something goes wrong. If a client's confidential information ends up in a public AI model because an employee didn't know better, your policy proves you took reasonable steps to prevent it.
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