Your AI Readiness Checklist: 5 Must-Have Security Controls

AI has made everyone’s lives easier, including the bad guys. While the benefits of integrating AI into your workflows are immense, from boosting productivity to unlocking new insights, the security risks are just as significant. As your team starts using these powerful tools, you’re also opening new doors for potential threats.

Before you dive headfirst into AI adoption, it’s crucial to have a solid security foundation in place. This post will serve as your AI readiness checklist, outlining the five essential security controls every business needs to implement.

AI at Work: The Good and the Bad

There’s no denying the transformative power of AI in the workplace. Generative AI tools can help your marketing team craft personalized campaigns at scale, allow developers to code faster, and provide your data analysts with deeper insights. A recent Deloitte study found that over 60% of knowledge workers are already using AI tools at work, drawn by the promise of improved productivity and efficiency.

However, this rapid adoption comes with a dark side. The very tools that boost your team’s performance can be exploited by malicious actors. According to the NSA, the common AI tools many businesses are adopting lack important defenses and protections.

And since the launch of ChatGPT, organizations have seen a 4,151% increase in phishing volume. These aren’t the clumsy emails of the past; they are sophisticated, personalized messages that are incredibly difficult to detect.

The risk is so pronounced that 96% of executives believe adopting generative AI will likely lead to a security breach in their organization. So, how do you embrace the innovation of AI without exposing your business to unacceptable risk? It starts with a comprehensive AI readiness checklist focused on security.

The 5 Security Controls Every Business Needs Before Using AI

Before your organization fully embraces AI, it’s essential to get your security under control. Attacks now happen at machine speed, so your security must operate at that same tempo. Here are the five non-negotiable security controls to implement.

1. Multi-Factor Authentication (MFA)

If you do only one thing on this list, make it this. Multi-factor authentication adds a critical layer of security by requiring users to provide two or more verification factors to gain access to an account. This could be something they know (a password), something they have (a security token or a code from their phone), or something they are (a fingerprint).

Why it’s crucial for AI readiness: As AI-powered phishing attacks become more effective at stealing credentials, a password alone is no longer a sufficient defense. MFA ensures that even if a cybercriminal manages to get an employee’s password, they still can’t access your systems without the second verification factor. It’s a simple step that can block the vast majority of automated attacks.

2. Zero Trust Access Controls

The old “trust but verify” model of network security is dead. The “zero trust” framework operates on a simple principle: never trust, always verify. This means that no user or device is trusted by default, whether they are inside or outside the network. Access to applications and data is granted on a least-privilege basis, meaning users only get access to the specific resources they absolutely need to do their jobs.

Why it’s crucial for AI readiness: When employees use external AI tools, they can inadvertently expose sensitive company data. A zero trust model limits the potential damage of a compromised account or device.

If an attacker gains access, they won’t be able to move freely through your network. Their access is restricted, containing the threat and preventing a small breach from becoming a catastrophe. This is a core part of any effective AI readiness checklist.

3. Endpoint Detection & Response (EDR)

Your employees’ laptops, desktops, and mobile phones are the “endpoints” of your network, and they are often the primary targets for attackers. Endpoint Detection and Response (EDR) solutions go beyond traditional antivirus software.

They continuously monitor endpoints to identify suspicious activity, investigate potential threats, and provide the tools to respond and neutralize them in real time.

Why it’s crucial for AI readiness: AI-powered malware is “polymorphic,” meaning it can constantly change its code to evade traditional signature-based detection. EDR tools use behavioral analysis to spot these threats.

Instead of looking for a known virus, they look for suspicious actions, like a Word document attempting to encrypt files. This is essential for catching the new wave of intelligent malware.

4. Network Segmentation & Data Governance

Not all data is created equal. Network segmentation involves dividing your network into smaller, isolated sub-networks. This prevents an attacker who breaches one part of the network from accessing everything. Coupled with strong data governance (policies that define who can access what data and how it should be handled) this creates powerful protection.

Why it’s crucial for AI readiness: Employees might be tempted to paste confidential information into a public AI tool for a “quick analysis.” Strong data governance policies, backed by technical controls, can prevent this.

By classifying your data and segmenting your network, you can ensure that your most sensitive information, like financial records or customer data, is isolated and protected from both internal misuse and external threats. Your AI readiness checklist must include clear rules about what data can and cannot be used with AI platforms.

5. 24/7 Monitoring & Threat Detection

Cyberattacks don’t stick to a 9-to-5 schedule. AI-powered bots and global syndicates operate around the clock, probing for weaknesses. The average “breakout time“—the window between an initial compromise and an attacker moving laterally through a network—has dropped to just 48 minutes. If your security team isn’t watching, an attack can be over before you even know it began.

Why it’s crucial for AI readiness: The sheer speed and volume of AI-driven threats can overwhelm a small, in-house security team. A 24/7 managed security service provides constant monitoring from a Security Operations Center (SOC).

This gives you access to expert talent and advanced technology that can detect and respond to threats immediately, no matter when they occur. This around-the-clock vigilance completes your AI readiness checklist and is your best defense against modern threats.

Secure Your Business for the AI Revolution

AI presents a universe of opportunities, but navigating its adoption requires a proactive and robust security strategy. The five controls outlined above—MFA, zero trust, EDR, segmentation, and 24/7 monitoring—are the foundational pillars that will allow your business to innovate safely. By treating security as a prerequisite for AI adoption, you can access its productivity without falling victim to its risks.

At Common Angle, we help businesses build the secure foundation they need to thrive in the age of AI. We can help you implement this AI readiness checklist, manage your security, and train your team to ward off the latest scams.

Schedule a call with us to discuss your organization’s security strategy and start feeling confident about your AI implementation.