How to Use Artificial Intelligence for Threat Intelligence

Artificial intelligence in cybersecurity is an advancement in technology, especially where cyber threats are constantly becoming an issue. Going by the complexity and volume of cyberattacks, combining AI and cybersecurity will together change the game of how organizations are defending against network vulnerabilities.

What is Threat Intelligence?

Threat intelligence, according to Gartner, “is evidence-based knowledge, including context, mechanisms, indicators, implications and actionable advice, about an existing or emerging menace or hazard to assets that can be used to inform decisions regarding the subject’s response to that menace or hazard.”

Like all intelligence, threat intelligence is an upgrade to cyber threat information. A cyber threat analyst can get all information he needs to stay ahead of threats, instantly, and accurately.

How Can Artificial Intelligence Help Threat Intelligence?

According to Norton, the global cost to recover from a security breach is $3.86 million, and it takes more than 190 days to also recover from a security breach.

AI can help manage cyber-risks. For instance, it can help organizations avoid the excess time it takes to recover from a security breach and help prevent financial losses.

Besides that, there are other roles of AI and Machine Learning in security intelligence:

Faster Response Times

Artificial Intelligence can process lots of unstructured information with high efficiency. Additionally, AI can also monitor and learn behaviors faster, thus ensuring more rapid response time, making it easy to prevent any form of cyber threat.

AI can determine threat patterns by leveraging threat intelligence feeds, vulnerability information, device event logs, and contextual data—allowing for proactive and systematic security insights.

Risks of AI in Threat Intelligence

While AI provides lots of benefits for cyber intelligence, security firms should be aware of the risks they’ll probably have to deal with. Take, for instance, hackers are using AI tools to breach users’ data. Because artificial intelligence can be “taught,” hackers can manipulate their way by creating their programs for malicious purposes.

Malware attacks integrated into the AI system have proved effective in some cases. For instance, pairing polymorphic malware with artificial intelligence allows a program to change its code very quickly, making the same program vulnerable. Hackers can also use artificial intelligence to send phishing emails and learn the type of language that works in campaigns that generate clicks. Despite the security risks involved, AI will always identify frequent incidents and solve them.

The Future of AI In Threat Intelligence

Artificial Intelligence has virtually impacted all major modern industries – more specifically in data-driven models, which often fall into the category of deep learning or machine language. As it were, many organizations are focusing on network security, being fully aware of the risks involved in minor or high cyber-attacks. It is also important to note that many organizations are spending billions of dollars collectively on AI services. As a result, it is most likely that there are yet things to be discovered, especially in the cyber threat intelligence space.

As it stands, all AI research efforts are focused on building a specialized Artificial intelligence that can help identify threats faster than before. Security firms should be able to manage and respond to cyber-attacks through advanced cyber threat intelligence program. At the moment, using firewall systems and managing backups require security experts, but it is expected that artificial intelligence will change this traditional method in the future.

Despite the advancement in AI technology, loopholes still exist. Hackers are working hard to beat the way AI works, which is why it takes longer to detect a security breach. It is expected that human programmers will continue to work on deploying new countermeasures to protect data breach, completely independent of human errors.