The government agencies are slowly adopting new technologies like artificial intelligence to protect their cybersecurity.
FREMONT, CA: The Federal agencies are continuously searching for methods to stay on top of cybersecurity, whether through endpoint security or file integrity monitoring. IT managers, CIOs, and CISOs, are immensely interested in artificial intelligence-based solutions to improve cybersecurity. There are many advantages of this technology, like detecting threats more quickly, saving time and money, and removing the gaps related to cybersecurity skills with automation. The feds are still in the nascent phase of utilizing AI in cybersecurity, and they are not entirely adopting it.
The government agencies are at an early stage of embracing artificial intelligence and machine learning, unlike the other private industries using the full potential of the technologies and reducing the problems related to cybersecurity. The government sector's best that can be done is to enhance their cyber hygiene with machine learning and automate the simple tasks in IT security operations.
The Benefits of AI in Cybersecurity
Many IT leaders still doubt the role of AI in cybersecurity, but others are more optimistic. There are many proven advantages of incorporating AI in the IT security environment from which the agencies can benefit. For example, the government agencies can model the way human communicates with data so that the model can understand when and where there is abnormal behavior.
It is not possible for a human being to look at numerous employees communicating with data. But the agencies can depend on machine learning and data analytics to take note of the behaviors. They have to believe in the power of the cloud and artificial intelligence to secure the data.
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AI has the capability to take note of millions of logs that describe what is going on in the agencies every second, and it is one of the most significant operations areas of cyber operations where it has made a considerable impact. The AI tools can report the analysts in every detail. These tasks will be time-consuming for a human analyst, and they can also make many errors. For example, the tools can report to the analysts if a user is logging into the agency's network from an uncommon area or downloading more data than necessary.
