Three ways artificial intelligence is changing cybersecurity and user experience

Currently, we are at a critical moment of major change. Artificial intelligence (AI) and machine learning (ML) are revolutionizing the way people work, communicate and get business done. These innovations will help organizations become more agile, better serve their customers, and help them respond to unprecedented threats.

Artificial intelligence continues to proliferate in our industry—the global AI in cybersecurity market is expected to reach nearly $47 billion by 2027, according to Statista. Interest in this technology will only continue to grow as we see new innovations emerge.

As organizations around the world adopt solutions that best leverage artificial intelligence, fundamentally changing the way they approach security, the key question that arises is how to achieve this artificial intelligence Driven state of nirvana. This means increasingly moving away from fragmented and siled tools to unlock the true potential of data.

The “3Cs” of data underpin powerful artificial intelligence and machine learning

In addition to the obvious benefits of simplified management, the integration of tools Another feature is the ability to leverage AI and ML in security, network and user experience management, all from the same data lake. However, for an organization to reach its full potential, it must adhere to three data principles:

• Complete data. All the data you need to solve the problem. Data elements from security, network and operations must be collected into a central location.

•Consistent data. The format, structure, and labeling of data should remain constant across all collected elements. Any discrepancies may negatively impact data quality and results.

•Correct data. You should have unwavering trust in the data so that any output is also trustworthy. The way data is collected and aggregated must be the same across all data sources that provide a data lake.

The solid foundation for artificial intelligence to fundamentally change cybersecurity is these key data principles. Organizations can see this impact in three different ways:

1) Reinventing IT Operations

As we all know, today’s core IT Operations teams, including security operations centers (SOCs) and network operations centers (NOCs), are overworked and understaffed. Every day, operations teams receive tens of thousands of alerts and events, only a few of which are meaningful, and most of the others are just noise. However, for the vast majority of enterprises, operational analysts currently need to manually review these alerts to ensure that no real threats are missed. Although this activity is time-consuming and requires a significant investment of time from security and network professionals, the results are rare.

By introducing AIOps, deep visibility and automation across the network can be automated, covering all users, branches and applications. With this new AI-driven environment, alerts or events can be connected to larger data points for more effective solutions—all within minutes. This means that instead of someone sifting through thousands of meaningless alerts, AIOps can help extract the most relevant alerts so teams can focus on solving real problems.

2) Uncover Unknown Threats

#As technology advances, cybersecurity tools develop and the tools available to threat actors evolve. Synchronization. The power of artificial intelligence can help identify signs of malicious behavior or operations introduced by “unknown” or unseen variants, unlike anything humans do. Machines are very good at sifting through large volumes of alerts by scanning thousands of data points to pinpoint anomalies, constantly learning hyper-specific details about an organization to better position the technology to flag new anomalies as they arise. Once threats are identified, organizations can proactively classify and contain them before they become a real problem.

3) Improve user experience

The application of artificial intelligence can relieve the pressure on security and network teams and help end users easily overcome the frustrating problems Frustrating question. Troubleshooting access and performance issues has always been a tedious and time-consuming task. When user experience is hindered by this security process, it often results in them becoming frustrated and choosing to bypass security in order to quickly resolve the issue. In this case, organizations are vulnerable to attacks because actors may exploit user error to bypass security measures. By proactively solving problems faced by users, AI has the ability to autonomously manage the end-user’s digital experience. Ultimately, doing so gives users a clean and positive experience while keeping security intact.

Artificial intelligence has the ability to impact every aspect of our lives, such as assisting in creation, driving and predicting disease risks. And, as we begin to implement this new innovation into our organizations, we are starting to see that AI will have an equally profound impact on security and network operations, and ultimately the experience an individual or business team has with the technology.

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