Whether you actively use it or not, almost anyone is familiar with the concept of AI security. In today’s market, AI integrations can be commonly found with many next generation firewalls (NGFWs). It’s a lot more than just those two words, but it’s a big leap from what traditional firewall solutions can offer.
AI can support advanced, multi-layered security systems, on top of delivering benefits that simply can’t be matched by human intervention. Between time and cost efficiency, trends on AI security can be hard to argue with.
On the surface, AI-powered network security can analyze sizable datasets, find and mitigate anomalies, and predict threats long before they become a problem. For this article, you’ll learn about AI’s role in the future of network security architecture.
The Growing Popularity of AI Security Measures
The relationship between AI, machine learning, and cyber security is getting closer and closer by the day. You’ll still come across quite a bit of backlash with AI, but its benefits, if used properly, can take your network security to new heights.
This means predicting every potential attack, automated incident response, and reducing the workload on your team. Everybody wins with AI and the many threat detection tools it comes with.
In today’s world, businesses should look at their network from the scope of proactive cyber defense. It isn’t enough to have mitigating and response. Your best bet in security is to always stay one step ahead of the threat.
AI-Driven Network Security Architecture
If you look at this from an overall perspective, the benefits of AI security start to look a lot better. The tech is also becoming a more common integration with next generation firewall hardware, with Fortinet AI being one of many popular choices. Rather than just a singular feature added to your network, you can set up your architecture to be AI-driven as a whole.
These are a few good examples of what that might look like:
- Use machine learning to analyze historical data to better prepare for new cyber threats
- Better threat intelligence and automated incident response
- Unmatched scalability and flexibility over time
- Authentication systems that are much faster at user and device verification
- Monitoring network traffic and user behavior at every hour of the day
While artificial intelligence can deliver some exciting enhancements to your network security, it doesn’t come without its risks. On the other hand, the tech isn’t changing and innovating at a rapid pace.
Challenges and Risks in AI Security
Regardless of where your AI support comes from, everyone should be interested in getting up to speed with the associated risks as well. Some of this simply comes from the unknown in a relatively new frontier. Other risks come from a combination of factors, with misuse being a big concern for many people.
Depending on who you’re working with, the quality of AI models and other new vulnerabilities can pose a concern. Cybercriminals are always coming up with new ways to gain access to business and personal information.
Whether it’s AI model manipulation or a poor balance of ethics and innovation, AI should be approached with a safe mindset. It doesn’t matter if you’re working with a trusted source like Palo Alto AI security tools; due diligence should come first.
The Bottom Line
You can find a very long list of benefits tied to AI security architecture for your business network. However, these upsides shouldn’t cloud the reality of what you’re signing up for.
Artificial intelligence comes with a learning curve, but when equipped with the right knowledge, you can really take advantage of what it can do. There are numerous ways to enhance your network security, and AI integrations are at the top of the list for many organizations. Learn more about AI and network security by getting in touch with us, and we’ll show you how you can apply it to your current network.
