Artificial intelligence (AI) is playing more and more of a role in today’s security sector. And, as the digital threat landscape evolves, the role of AI in security will continue to expand, providing organizations with advanced tools to detect, respond to, and mitigate cybersecurity threats more effectively.

AI involvement can drastically increase efficiency through automatization of routine tasks, more powerful integrations, tech-enabled security audits, more robust data protection protocols, and more. But it’s not just the act of employing AI tools that can enhance your security program, it’s also how you implement them. 

Put simply, the name of the game is strategic implementation. That’s because strategic implementation helps organizations maximize the benefits of AI technologies while addressing potential challenges and ensuring a comprehensive and effective cybersecurity strategy overall.

In this post, we’ll take a look at five best practices to help with your AI strategic implementation, what they can do for your business, and how Strike Graph’s all-in-one compliance platform can help you more easily realize them.

Best Practice #1: Say goodbye to grunt work

AI and automation can significantly alleviate the burden of routine and repetitive tasks across various industries. Some areas of your security program in which AI and automation can take care of the grunt work include:

• Data entry and processing
• Categorization, tagging, and organization of documents
• Customer support via chatbots and virtual assistants
• Automated system monitoring and patch management
• User authentication
• And more!

Pro tip

Strike Graph's integrations, notifications, and dashboards take care of the little tasks so you can focus on the big picture and higher priority items of your business.

Best Practice #2: Simplify integrations

It’s important to keep any and all integrations secure and simple. This ensures the smooth functioning of interconnected systems while minimizing the risk of security vulnerabilities.

Staying on top of potential security vulnerabilities in your third-party integrations can protect you from unpleasant surprises down the road when the solutions you thought were protecting you become the vulnerability an attacker exploits.

Pro tip

Strike Graph's low-code integrations work with your existing tech stack and are extremely secure. They also give you the flexibility to gather evidence from your existing systems, automating evidence collection and making what can be a tiresome process quicker and more efficient for your team.

Best Practice #3: Use tech-enabled audits

Tech-enabled audits make for swift security certifications. That’s because they can significantly streamline the process of evaluating risks, controls, and evidence. They cut out the unpredictability of human auditors. And, they provide transparency and repeatability in security evaluation.

Pro tip

Don't hire that old-school auditing firm for your SOC 2 certification. Strike Graph’s tech-enabled audits are more efficient, more transparent, and more affordable.

Best Practice #4: Regularly update AI tools and systems

Only trust AI tools and systems that are regularly updated in order to protect against emerging security threats. 

Pro tip

Strike Graph's platform keeps you on the cutting edge of AI-enabled security. We regularly update the software to address emerging security threats, and continue to innovate so you know you have the most cutting-edge security tools. 

Best Practice #5: Prioritize data protection

Prioritizing data protection when using AI can help you and your team ensure the privacy, security, and ethical use of sensitive information, avoid creating vulnerabilities, and ensure compliance with privacy regulations. After all, you don’t want to be entering sensitive customer information into an AI tool that's not secure — risking it being exposed — or have your employees inadvertently reveal private data via third-party AI tools because your organization doesn't have strong AI policies in place.

Pro Tip

Strike Graph's AI security assistant doesn't use open source tech that can compromise your data. Instead, it draws on your company's policies and procedures within the platform to answer your team's questions accurately and securely.

AI is a powerful tool — if used correctly

As exciting as emerging AI capabilities are, it’s important to remember that new tech is often a double-edged sword. AI and automation can boost the productivity of your team and the strength of your security program, but they can also undermine your efforts if used incorrectly.

That’s why Strike Graph is designed not just around AI, but around strategic AI use. We make sure our AI tools are designed not to just catch your attention, but to actually make your security program more efficient and robust. And, we complement our suite of AI and automation tools with features that support human strategic planning and management.