Artificial Intelligence

How Can AI Be Used in Cyber Security? Benefits,Examples & More

How Can AI Be Used in Cyber Security

Imagine driving to your headquarters and getting a call about a major data breach in your financial department. The news about data privacy breaches would undoubtedly shake your nerves, and the urgency to address the mishap would be overwhelming. However, it may not be possible to undo the violation. What’s done is done. But you can prevent this scenario from happening to you. The best solution is adding AI into your organization’s process, which will identify cyber threats faster than the eyes of humans. So, let’s explore, how AI can help you. Keep reading.

Can AI be used in cyber security?

Yes, we can! Especially to analyze vast amounts of data & user behavior, which improves threat detection and response.

With the help of AI, Security professionals can focus more on critical security incidents, reduce false positives & protect sensitive information efficiently by adapting themselves to evolving security threats using Machine Learning algorithms like deep learning.

What is AI in cyber security?

(Source: IBM Technology)

It is the application of artificial intelligence techniques like natural language processing & machine learning boosting detection, prevention, and response to cyber-attacks.

Why is AI important in cyber security?

It helps cybersecurity teams identify and respond to cyber-attacks effectively and efficiently.

AI can quickly identify potential threats & attack vectors, thus helping cybersecurity professionals save time monitoring.

In addition, This automation can help fasten the decision-making process and protect sensitive data, enhance overall security systems by following best practices in this constantly evolving threat landscape.

5 Key Benefits of AI in Cyber Security

1. Advanced Pattern Recognition

Colorful bar chart displaying data in various hues

AI’s mastery in identifying complex patterns allows you to see beyond the surface of vast datasets like network traffic, revealing subtle signs of threats that human eyes might miss. By integrating machine learning, AI efficiently uncovers these anomalies, alerting you to potential dangers before they escalate. This advanced pattern recognition is vital for proactive defense, helping you anticipate and neutralize cyber threats early.

2. Predictive Threat Analysis

Imagine a security system that anticipates danger, not just reacts to it. AI in cybersecurity can do just that! By analyzing past threats and security trends, AI can predict where your defenses might be weakest in the future. This foresight empowers you to proactively patch vulnerabilities and stay ahead of cybercriminals, keeping your data and systems safe from both known and emerging threats.

3. Automating Threat Detection Processes

The automation of repetitive tasks is another area where AI significantly enhances cybersecurity. AI algorithms streamline the threat detection process by rapidly analyzing large volumes of data, identifying threats faster than humanly possible. This not only speeds up response times but also frees up your security team to focus on more strategic, high-impact tasks.

4. Enhancing Incident Response (IR)

It can be time-consuming to detect and respond to events, and time is of the essence in the event of a security breach. AI-driven systems provide automated incident response solutions that can react in real time. These systems analyze breaches, contain the damage, and mitigate any potential impact or disruption on your business operations, all while providing your team with detailed incident reports and recovery steps.

5. Continuous Learning and Adaptation

A robot standing next to a book and a stack of books

One of the most significant advantages of AI in cybersecurity is its capability to learn and adapt continuously. As AI systems encounter new threats and tactics, they learn from these interactions and improve over time. This continuous learning process ensures that your cybersecurity measures upgrade, always staying one step ahead of cybercriminals.

Disadvantages of AI in cybersecurity

1. Adversarial Attacks

Competitors can easily manipulate AI systems by carefully crafting inputs that force a company to make incorrect decisions or predictions that can result in the compromise of  security.

2. Bias and Fairness Issues

AI algorithms that are trained on biased data may unintentionally preserve or amplify existing biases, forcing a company to make unfair decisions or treatments in the context of cybersecurity.

3. Dependency on Data Quality

AI models are only highly effective when the data used for the training is of good quality, relevant, and complete, which may not always be the case. In addition, it might also not be accurate and comprehensive.

4. Complexity of Interpretation

As an AI program is complex, Experts find it difficult to understand the decision-making process hindering effective monitoring and auditing.

5. Increased Attack Surface

There is a likelihood of the increase of attack surface due to the introduction of AI in Cybersecurity Systems creating vulnerabilities which attackers might take advantage of in AI implementations or models.

AI cybersecurity threats

Safeguarding your business from malware - Update software, educate staff, implement robust firewalls

Cybercriminals have become smart, using generative AI for various techniques. Some of the AI in cyber security examples include:

  • polymorphic malware
  • phishing attacks
  • Deepfakes
  • Social Engineering
  • Credential Stuffing
  • AI-Powered Reconnaissance
  • Data poisoning
  • Supply Chain Attacks
  • Behavioral Biometrics

The Role of Artificial Intelligence in Cyber security for Modern Threat Detection

AI has entered every sphere of our lives, helping us improve efficiency and productivity. The best part is that AI can even help you diminish hackers and protect your digital identity with its data.

It is vital for you to pay attention diligently and incorporate AI. AI-based threat detection is essential to detect threats that are difficult to find and mitigate expanding attacks on devices. Further, AI’s role in your cybersecurity strategy is to handle the overwhelming velocity and variety of cyberattacks, including sophisticated ransomware. Its capabilities are particularly effective against hard-to-detect threats that expand through IoT devices, cloud deployments, and mobile platforms. AI’s predictive power and real-time data analysis enable you to anticipate and neutralize cyber threats before they escalate, protecting your network from potential damages like DNS hijacking.

AI doesn’t just augment your existing security measures—it transforms them. It brings a level of automation and precision that was previously unattainable, allowing for a more proactive and resilient approach to cybersecurity.

The evolution of threat detection shows a clear shift towards adopting technological innovations, with AI at the helm. This transition isn’t just about keeping up with new technologies but staying ahead of cunning threat actors who continuously refine their methods to bypass traditional security measures. Each advance in security technology by your team is met with more ingenious tactics by adversaries, making AI’s role in threat detection more crucial than ever.

Factors You Should Consider While Implementing AI Solutions

  • Select a model based on the needs of your business like the problem, amount of data and speed and accuracy you desire.
  • Make sure that it supports your Hardware.
  • The model should have an easy to understand decision making process, especially in the sensitive fields like healthcare & Finance.
  • Ensure that you have a clean and well annotated dataset.
  • Should have flexible scalability options.
  • Should have ethical implications.
  • Regular maintenance & updates.
  • Troubleshooting & fixing the issues.

How can NewEvol help to Protect Your Precious Data and Digital Identity?

As you consider integrating AI into your cybersecurity strategy, remember that it’s not just beneficial; it’s essential. AI’s capacity to detect and adapt to evolving threats offers a dynamic defense mechanism that constantly evolves, ensuring that your organization’s security posture is always at its strongest. NewEvol’s cybersecurity product exemplifies this approach by combining AI-driven solutions with their expertise in managing dynamic threat defense. By introducing NewEvol’s security tools into your IT infrastructure, you gain access to tailored security measures that minimize risks and optimize outcomes, ensuring your organization can confidently face any cyber challenge that comes its way.

Krunal Medapara

Krunal Mendapara is the Chief Technology Officer, responsible for creating product roadmaps from conception to launch, driving the product vision, defining go-to-market strategy, and leading design discussions.

May 21, 2024

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