The global landscape of cybersecurity threats has changed, and netizens are now facing ever-evolving threats to their data. On one side, the giant, automated botnets are infecting consumer devices; meanwhile, phishing scams are fooling users into giving up their personal info and money. Amidst these concerning situations, Artificial intelligence is the only weapon in the cyber security armory.

In this blog, we’ll explore how AI is changing cybersecurity space, how it can be utilized, what it can offer, its potential benefits and applications. 

AI in Cybersecurity: A Run-through 

AI is changing the cybersecurity landscape from analyzing huge quantities of risk data to speeding up response times and augmenting under-resourced security operations.

The role of AI in cybersecurity is to secure company assets and protect user data. With avant grade Artificial Intelligence, companies storing sensitive data can implement AI-powered threat detection systems that can keep up with cybercriminals. 

However, cybercriminals can also use this technology to launch more sophisticated attacks. Since it has adaptive qualities, AI is the right fit to tackle the world’s ever-changing security challenges. 

How to Use Cybersecurity In AI? 

In the past, businesses have utilized AI in cybersecurity in a limited fashion, mostly as part of products such as email filters and malware identification tools powered by AI. But now, things have been pretty changed. 

Now, AI can help detect attacks more accurately and prioritize responses based on real-world risk. Also, it can enable automated or semi-automated responses to attacks and provides more accurate modeling to predict future attacks. 

Use Cybersecurity In AI

AI in cyber security examples includes antivirus, antimalware, data loss prevention, fraud detection, identity management, intrusion detection, and risk management systems. Nonetheless, this doesn’t necessarily remove the analysts from the loop. Still, it makes the analyst’s job more agile and accurate when facing cyber threats.

Securing The Future With the Latest AI Breakthroughs in Cybersecurity  

The latest developments in cybersecurity AI has revolutionized its landscape. It quickly detects and accurately responds to security threats. Following are some latest advances in AI-powered cybersecurity:

  • Malware Detection with Machine Learning

Typically, a malware attack costs a company over $2 million including time spent resolving the attack. Machine learning algorithms can analyze large amounts of data to detect patterns and identify malware, including new and previously unknown threats. For example, Palo Alto Networks’ Cortex XDR platform uses machine learning to detect and prevent real-time malware attacks.

  • Threat Detection with Behavioral Analytics

Behavioral analytics uses ML algorithms to analyze user behavior and detect anomalies that could indicate a security threat. Darktrace’s AI-powered platform is a perfect example that uses behavioral analytics to detect and respond to threats in real time.

  • NLP for Phishing Detection

Natural Language Processing (NLP) algorithms can analyze email content and detect phishing attempts. Microsoft Defender for Office 365 uses NLP to detect and block phishing emails.

  • AI-powered Security Orchestration and Automation

AI can automate repetitive security tasks, such as threat detection and response, to improve efficiency and reduce the risk of human error. IBM’s Resilient Incident Response Platform uses AI-powered automation to orchestrate and streamline security incident response.

  • Deep learning for Threat Hunting

The Cybereason Defense Platform uses deep learning to hunt for threats and respond to real-time attacks. These deep learning algorithms can analyze large amounts of data to identify patterns and anomalies that could indicate a security threat. 

However, these are just a few examples of AI in cybersecurity. In the future, we’ll see more innovative and effective cybersecurity solutions with all thanks to mighty AI.

Powerful AI Applications in Cybersecurity: An overview 

On the whole, there is a wide range of AI applications in cybersecurity, from threat detection to incident response. By cashing in machine learning and other AI technologies, you can improve a company’s security posture and protect against cyber attacks.

  • Modernizing Security Screening

AI can help in security screening at immigration by automating the process of verifying and validating identity documents, also, detecting potential security threats. The Australian government’s Department of Home Affairs uses an AI-powered system called SmartGates to screen travelers entering the country.

The system uses facial recognition technology to match the traveler’s face with the photo in their passport and check their identity against government databases. It speeds up the screening process and makes it more accurate and reliable.

  • Preventing Crimes 

UK’s Metropolitan Police used facial recognition technology to identify suspects in real-time at public events and in high-crime areas. It has resulted in the arrest of numerous individuals who were wanted for serious offenses. 

Facial recognition technology uses AI algorithms to analyze images of faces and match them to a database of known individuals. 

  • Minimizing Threat Response Time 

A survey found that  23% of enterprises had suffered a mobile security breach. AI can reduce threat response time by quickly detecting and responding to potential threats before they cause damage. 

A real-life example is the use of AI-powered security systems by JPMorgan Chase. The system uses ML algorithms to monitor network activity and identify potential threats in real time. It has helped reduce the response time to threats from hours to minutes, enabling the company to quickly contain and mitigate any potential security breaches.

  • AI-Powered Mobile Endpoint Security

AI can assist in analyzing mobile endpoints by detecting and responding to potential cyber threats in real time. Such solutions use machine learning algorithms to detect anomalies and patterns in user behavior and identify malicious activities. 

For example, Zimperium’s mobile threat defense platform uses AI to analyze mobile endpoints and identify potential threats, such as malware or network attacks. It helps companies proactively protect their mobile devices from cyber attacks and keep their sensitive data safe.

Besides these powerful applications, there are numerous benefits of AI in the cybersecurity space to help manage the potential risks it possesses. Let’s have a look at them: 

Long-term Benefits of AI in Cybersecurity

Benefits of AI in Cybersecurity

  • AI can detect and respond to cyber threats faster than humans.
  • It can Improve the accuracy of threat detection and reduce false positives.
  • Analyze large amounts of data and identify patterns that humans might miss.
  • Help organizations to proactively defend against cyber attacks and minimize the risk of breaches.
  • It can reduce the workload of cybersecurity professionals and allow them to focus on more complex tasks.
  • It can tailor security measures to an individual user or device, providing a more personalized and effective level of protection.
  • AI can help reduce cybersecurity costs by automating tasks and reducing the need for human intervention.
  • It can be scaled to meet the demands of large and complex networks, making it easier to manage security in enterprise-level organizations.
  • AI can provide continuous monitoring and analysis of network activity, detecting and responding to threats in real time.
  • It can assist in ensuring compliance with regulations and standards by monitoring and enforcing security policies and procedures.

AI and Cybersecurity: The Perfect Duo for a Safer Digital Future

Due to the sophistication and scale of modern cyberattacks, conventional approaches to cybersecurity don’t work anymore. To combat cybercrime, businesses must integrate AI into their security solutions to automate attacks and evade detection. 

By doing so, they can improve their threat detection, identify emerging trends, and stay ahead of the attackers. Technology’s reliance on cyber threats will increase, making AI vital to cyber threat protection. 

If you are looking for a robust AI-powered cybersecurity solution to withstand even the most sophisticated cyber threats, feel free to contact RAI’s experts to discuss your project.