Top 7 AI Tools for Cybersecurity in 2024

In an increasingly digital world, the threat landscape for cybersecurity continues to evolve at a rapid pace. As cyber-attacks become more sophisticated, organizations are turning to artificial intelligence (AI) tools to bolster their defenses and safeguard their assets. AI tools for cybersecurity leverage machine learning algorithms and predictive analytics to detect threats, respond to incidents, and protect sensitive data in real time.

As we enter 2024, the demand for AI tools for cybersecurity remains strong, with plenty of innovative solutions available to address the complex challenges of modern cyber threats.

In this article, we’ll explore the top 7 AI tools for cybersecurity in 2024, each offering advanced capabilities to enhance security posture and mitigate risks in an ever-changing threat landscape.

1. Darktrace

Darktrace is a good AI tools for cybersecurity that helps in identifying any ongoing threat. It is highly used in forensic investigations. It highly utilizes machine learning and becomes the immune system and a great defense mechanism. It is considered as one of the best AI tools for Cybersecurity.

Link: https://darktrace.com

Features:

• Ability to detect unknown and hidden threats as well.
• Easily analyses and adapts to any type of threat.
• It has a self-learning approach towards the systems.

Pros:

• It manually helps in updating the algorithms and the software.
• It relies on pre-defined rules and can detect real-time threats as well.
• It provides information relating to the source of the threat and keeps it altered.

Cons:

• The tool cannot analyze the highest risk rates and is hard to understand for the layman.
• Sometimes manual investigation is needed with information overload
• It does not exactly provide protection but only provides a long threat analysis.

Pricing:

• Free
• $30,000 for 200 hosts, small version
• $60,000 for 1000 hosts, medium version

2. Cylance

Cylance is an AI tools for cybersecurity that is a part of BlackBerry and it highly focuses on giving pre-directory solutions with endpoint security solutions. Threat hunting and acting as a lightweight agent is the best for protection.

Link: https://login.cylance.com

Features:

• It helps in endpoint protection from any malware attacks.
• Highly focused on preventing any type of threat before they become effective.
• Automated threat response and enhances security.

Pros:

• It uses an AI Math Model algorithm rather than signature-based solutions
• Blocking threat capability can be completely customizable with behavioral analysis.
• It also blocks unzipping as well and has integration with SIEM.

Cons:

• It does not know much user information.
• The reporting of threats still needs to be fully automated.
• The upgrades are continuous and problematic becoming time time-consuming process.

Pricing:

• $45 per end-point for 1-99 endpoints
• Based on volume extends.
• 30-day money-back guarantee.

3. Vectra AI

Vectra AI is highly focused on detecting threats and leverages other AI tools for cybersecurity as has unique algorithms to respond to high-quality threats as well. It has continuous real-time monitoring of network traffic, user activity, and cloud environments enabling enterprises to discover and mitigate risks more quickly.

Link: https://www.vectra.ai

Features:

• Vectra AI is based on the network detection process (NDR) and shows responses accordingly.
• It utilizes machine learning to analyze patterns.
• It bypasses any traditional security programs.

Pros:

• It is a high-quality cybersecurity AI tool, easy to understand and reports are comprehensive.
• It can be easily integrated and allows to protection of whole and certain components.

Cons:

• It has a restricted ability to respond to any cyber threat.
• There is a lack of proper instruction for the users, making it difficult to comprehend

Pricing:

• Monthly: $4
• Annually: $40

4. SentinelOne

This AI tools for cybersecurity platform offers security teams and threat-hunting capabilities. It allows the security team to investigate the actual problem involved. It also analyses the endpoint threat with comprehensive visibility.

Link: https://www.sentinelone.com

Features:

• The mitigated threats are immediately blocked and rolled back to their original state.
• EDR is involved including support to SSO, Firewall, and Web Control.
• It has been patented as behavioral AI with integrating static AI

Pros:

• It simplifies management and solutions with comprehensive visibility.
• After detecting a threat, it changes any wrong thing done by malware.

Cons:

• It has less compatibility with Windows OS.
• The base-level subscriptions are slow to be reported.

Pricing:

• $45 per endpoint annually
• $3.75 monthly

5. Cybereason

Cybereason is an AI tools for cybersecurity that specializes in the detection of malware offering solutions at any end-point breach. With its product suite, Cybereason stands poised to capture market share.

Link: https://www.cybereason.com/

Features:

• Delivers antivirus, endpoint detection and response (EDR).
• Safeguards identities, workspaces, and cloud environments.
• Provides threat hunting, managed detection, and response (MDR).

Pros:

• It has a proper Zero-day Attack Prevention mechanism.
• Swiftly detects and confines ransomware outbreaks to prevent data encryption.
• Proactively searches for concealed threats residing within your network.

Cons:

• It is a slow support AI tool with less work.
• Bugs on their interface are a common problem.
• Log extraction is not available many times.

Pricing:

• $50 per endpoint, annually

6. McAfee MVISION

McAfee MVISION Endpoint, administrators can utilize Rollback remediation to undo alterations caused by threats, restoring a system to a healthy state ensuring user productivity maintenance and helps administrators.

Link: https://www.mcafee.com/

Features:

• It identifies unknown and zero-day threats, automatically incorporating rules.
• Facilitates automated response to security incidents within milliseconds.
• It leverages threat intelligence to identify multi-phase Advanced Persistent Threats (APTs).
• Enhances performance by refraining from scanning trusted processes.

Pros:

• Utilizes machine-learning analysis to effectively safeguard on-premise machines and cloud-based workloads.
• Restores endpoints to a healthy state without the necessity for reimaging or repairing.
• Identifies threats that attempt to compromise user credentials.

Cons:

• Significant delay in achieving protection.
• Certain unconventional encoding methods go undetected.
• A browser plugin is needed for the anti-phishing component.

Pricing:

• $36.99 for Standard Subscription

7. FortiAI

FortiAI is among the AI tools for cybersecurity that utilizing the power of Artificial Neural Networks (ANN) and is considered to be malware reduction technology. The Virtual Security Analyst (VSA) employs ANN to replicate human behavior in the detection process. With its strong detection technologies, it is considered as one of the strongest AI Tools for Cybersecurity.

Link: https://www.fortinet.com/

Features:

• Shortage of Experienced SOC Analysts and AI-Powered Cyber Attacks.
• Breach Prevention and optimized Security Operations.
• Masqueraded Malware and incident response services.
• It has a feature for prioritizing suspicious processes.

Pros:

• Identifying and Classifying Attack Scenarios
• Investigating the Source of Attack
• Acting as a FortiGuard Malware Analyst

Cons:

• It does not satisfy any non-MS-domain device.
• It cannot monitor multiple domains.
• It has multiple FSSO agents in a multi-domain environment which creates confusion.

Pricing:

• The pricing may vary from product
• FortiAi Premium (1-10 Devices) cost around $363.64

Comparison

Here is a table that compares AI tools for Cybersecurity, looking at their purposes, the technologies they involve, and if there is an option to use them for free.

S. No.	Tool Name	Uses	Technology Used	Free Version Available?
1	Darktrace	Detects first-stage attacks	AI algorithms mimic the human immune system	Yes
2	Cylance	Modern security with comprehensive detailing	Threat Intelligence and EDR	No
3	Vectra AI	Signal attack clarity	Attack Signal Intelligence	Yes
4	SentinelOne	Endpoint, cloud, and identity threat protection	Large Language Model (LLM)	No
5	Cybereason	Identify Ransomware attacks	Machine Learning	Yes
6	McAfee MVISION	Endpoint Protection	Machine Learning	Yes
7	Fortinet FortiAI	Investigate Cyber attacks	Artificial Neural Network	Yes

Conclusion

Artificial Intelligence cybersecurity tools have been sophisticated yet a necessity for every computer system and computer network. It is a proactive step in the effectiveness of cybercrimes. It responds to any type of risk and tries to mitigate safety. The automated security process is installed to distinguish between threat data and useful data.

One must integrate an AI tool into their system to reduce risks of cyber threats and cyber-crimes. It is important to learn that AI tools for cybersecurity do not increase any type of data leak risks as this arena has been worked upon.

AI Tools for Cybersecurity – FAQs

What are the types of threats or cybercrimes an AI tool can defend against?

Any type of malicious activity, arbitrary information, any unwanted entry into your computer system or computer networks, malware, data breach threat, phishing, ransomware, or any other sort of vulnerability is easily detected and defended by AI tools.

How to install or integrate AI tools for cybersecurity into your computer system?

The steps involve firstly, selecting the desired AI tool for your need by going through its features. After considering all the factors required, the tool needs to be installed and there shall be a compatibility test run on your screen. The AI tool can be installed via any app store or directly with the guidance of the vendors.

What are real-world applications for AI tools acting in the area of cybersecurity?

Applications shall be threat detection, prevention of danger, phishing detection, analysis of any malware behavior, blocking any security threat, and vulnerability management.

What is the difference between traditional cybersecurity solutions with the solutions now?

The power of analysis is developed in real-time; earlier traditional cybersecurity solutions were not very effective as the new AI tools adapt to the threats with constant manual updates and give more effective results.