Top 8 AI Cybersecurity Companies – Tips to Choose the Best Company

AI is no longer a buzzword—it’s a new participant in digital transformation. It is altering the world and bringing new ideas and roles into light—its participation in cybersecurity being one of them.

In the past, cybersecurity was mainly about doing repetitive, labor-intensive tasks that consumed a lot of time and bandwidth. Things like threat detection, change management, and remediation were essential but largely manual. Such slow processes left organizations open to more risks from an increased threat surface that malicious actors could exploit.

But in today’s age, Artificial Intelligence (AI) is permeating and changing the landscape of cybersecurity as we know it, making it faster and more efficient. Not only does it reduce the cumbersome nature of manual tasks, but it also helps organizations defend themselves better.

With that in mind,  we’ve put together a list of the top 8 AI cybersecurity companies you need to know about in 2024.

What are AI cyber security companies?

AI cybersecurity companies are firms that specialize in developing and providing cybersecurity solutions powered by artificial intelligence (AI) and machine learning (ML) technologies. These companies use advanced algorithms and data analytics to detect, prevent, and respond to cyber threats in real-time.

Applying AI to cybersecurity

A report by TechRepublic says that mid-sized companies receive over 200,000 alerts for cyber events every day. Naturally, a team of human experts cannot address all of them. To help with this, AI algorithms can analyze large amounts of data and detect patterns that are indicative of a cyber threat.

Here are some use cases on how cyber security artificial intelligence is applied to cybersecurity:

Quick malware detection

With potential attacks getting more advanced and happening more often, it’s important to have AI-powered tools for protection. It’s because a simple malware attack on your system can cause huge problems like losing data, reputational damage, and losing customers’ trust.

AI is great at analyzing huge amounts of data from different places. It can find strange patterns in user behavior that might mean a red flag or indications of a cyberattack. It can, therefore, help your business detect and prevent these attacks by analyzing the behavior of the malware and identifying any suspicious activity.

Risk prediction

AI helps cybersecurity experts analyze threats and strengthen defenses against breaches. The application of AI helps scan networks and systems automatically and find potential weak spots that hackers could exploit. 

Ai reduces the chance of vulnerability exposure and cuts down on manual work by suggesting important security updates. This makes security processes faster by automating key tasks and areas of operations.

Risk Assessment 

AI can assess unstructured data and identify patterns from past incidents, which can then be transformed into predictors of risk. AI effectively measures the probability and impact of potential exploits and the risks posed to an organization by analyzing active threats to systems. 

This enables decision-makers to make informed, data-driven choices regarding patch prioritization, remediation efforts, and mitigation strategies, ultimately optimizing the efficient reduction of quantified risk.

List of AI cyber security companies

Here is a list of AI cyber security companies you need to be aware of:

1. Palo Alto Networks

Palo Alto Networks, the AI cybersecurity firm located in the USA, offers a wide range of products and services. The company’s products include firewall appliances, software, panorama, support and maintenance, security management solutions, and system updates.

One product that gets the most attention is Cortex, a cutting-edge continuous-security platform powered by AI. This cybersecurity platform helps Security Operations Centers (SOC) respond to complex threats that require immediate detection and reaction.

Cortex is the umbrella name for Cortex XDR, Cortex XDR Agent, and Cortex XSOAR. This tool combines data from monitored endpoints, including networks and cloud resources, to provide a thorough sight of the threat. 

Cortex capitalizes on detecting specific events and system behavior across your network to identify evasive and highly-detailed threats you may not know about and therefore be undetected by other antivirus software.

Features
Incorporates “Bring Your Own AI” capability into cortex XSIAM AI-driven security operations platform
Conducts malware analysis and generates reports
Offers threat prevention services for safeguarding the network from viruses, worms, spyware, and other malicious traffic
Delivers real-time DNS request analysis
Pros	Cons
Automates complex and repetitive tasks, saving significant time during security investigations	Tends to lean more towards a “Do-It-Yourself” (DIY) tool, requiring users to invest more time in research when navigating the dashboard, especially compared to other competitors
Functions as a centralized SIEM tool manager	Lacks proper troubleshooting documentation for system notifications triggered on the system Diagnostics page, which may lead to difficulties in resolving issues effectively
Allows integration and orchestration of various security solutions within a single platform, enabling streamlined management of cases and incidents	Becomes unresponsive under high loads of inputs, potentially hindering productivity and performance.
Offers a graphical dashboard for gaining insights across different parameters and periods

G2 Rating: 4.5/5

2. Fortinet

Fortinet remains at the forefront of cybersecurity evolution, merging networking and security. It provides a suite of products covering network security, data centers, enterprise networking, network access, application security, and security management.

The Fortinet SecOps platform stands out for its extensive array of sensors employing AI and advanced analytics. To detect potential cyber threats, these sensors continuously monitor devices, users, files, networks, email, applications, cloud, logs, and even dark web activities. Key functionalities include correlation, enrichment, analysis, triage, validation, and response.

Features
Provides intelligent SOC automation for streamlined security operations
Offers a comprehensive array of sensors using AI and advanced analytics to evaluate network activity continuously
FortiManager facilitates the management of security policies
FortiGuard Anti-Botnet prevents unauthorized communication attempts with compromised remote servers
Pros	Cons
Fortinet provides a FortiGuard Labs threat intelligence feed to update the firewall with the latest cyber attack signatures and IOCs	Lack of flexible pricing and subscription options may pose challenges for small-scale IT enterprises
Their customer support is known for its quick response to tickets	Compatibility issues with certain applications or devices on the network may arise, leading to potential disruptions or inefficiencies in operations
FortiSASE offers a comprehensive suite of tools for managing users’ security posture	Requires regular maintenance to stay current with the latest threats

G2 Rating: 4.6/5

3. Trellix

Trellix, formerly FireEye, was a privately held cybersecurity company established in 2022. 

Renowned for its involvement in detecting and preventing major cybersecurity attacks, Trellix uses AI-guided investigations to swiftly assess the risk of cyber detection events. This approach reduces the signal-to-noise ratio and shortens response times.

Furthermore, Trellix provides efficient customer support through its chatbot, which can answer nearly any question covered in Trellix documentation. This eliminates the need for users to spend extra time searching through product documentation.

Features
Threat Prevention helps prevent threats from accessing systems by automatically scanning files when they are accessed
Conducts targeted scans for malware on client systems
Network monitoring monitors communication between computers and resources on the network and the Internet
Intercepts suspicious communications to prevent potential threats
Adaptive Threat Protection analyzes content from your enterprise and determines response actions based on file reputation, predefined rules, and reputation thresholds
Web Activity Monitoring monitors web searching and browsing activity on client systems
Pros	Cons
Offers the capability to directly contain any compromised endpoint, preventing the spread of threats within the network.	Some users reported a dropped performance rate, which affected not just their productivity but also the effectiveness of the application
Ability to integrate with external intelligence sources and Managed Detection and Response (MDR) services	The prospect of ever-popping updates may be annoying for the users, who can, in turn, be distracting
Provides a simplified management experience with a user-friendly UI and interface	Incident response time may be affected negatively if events are not reported early enough
Offers straightforward implementation and adoption within the environment

G2 Rating: 4.3/5 

4. Zscaler

Zscaler has a reputation for being the leader in zero-trust security within the largest global cloud security coverage or ecosystem. They define the framework for IT transformation with a model that centers around a software-defined policy-controlled architecture that enables secure connection of users to applications or services.

Through the integration of AI/ML technology, Zscaler has consistently prioritized customer safety. They are now introducing new AI-based security controls to combat the latest threats, enhance data protection, and ensure secure usage of generative AI. AI is also utilized to drive innovation in product development.

Features
Zscaler enables secure access to applications from any location
Zscaler delivers a complete suite of security functionalities through Security as a Service
AI-driven malware prevention engine intelligently identifies, quarantines, and prevents unknown or suspicious threats in real-time
Enhances SOC workflows by integrating threat intelligence
Pros	Cons
Provides full inbound and outbound SSL inspection, effectively safeguarding the entire enterprise network against cyber threats	Users have experienced occasional delays in website loading times while using Zscaler
Real-time threat intelligence and global coverage bolster its reputation as a dependable AI cybersecurity solutions	The cost of Zscaler’s services may be considered prohibitive for some organizations
Zscaler features an intuitive and user-friendly interface, making it easy for both end-users and administrators	The platform’s extensive range of features and functionalities may overwhelm users, leading to underutilization as they may not fully leverage all available capabilities

G2 Rating: 4.4/5 

5. Crowdstrike

CrowdStrike is one of the leading global cybersecurity technology solution companies offering a diverse range of products as well as services such as endpoint protection, threat intelligence, next-generation antivirus, incident response, ransomware protection, and endpoint detection and response.

The company is renowned for its AI-native defense, which is trained on the industry’s most advanced security data, enhanced by insights from CrowdStrike’s elite threat hunters, incident response experts, and top-ranked Managed Detection and Response (MDR) services.

Features
CrowdStrike’s ML models are trained on the company’s extensive intelligence and security expertise. It enables the detection of advanced threats while minimizing false positives
Provides automated threat detection and response capabilities
Cloud-native computing helps reduce the time to detect and respond to threats
Offers real-time recommendations based on the latest threat intelligence
Pros	Cons
The sandboxing feature offers time to investigate incidents thoroughly. It provides excellent visibility, and malware can be analyzed using Hybrid Analysis	Understanding all the inbuilt features of CrowdStrike may be challenging for users, potentially leading to underutilization of the platform’s capabilities
Process chains allow in-depth threat hunting and incident response with root cause analysis	Validating alerts can consume valuable time and resources, potentially delaying incident response and resolution
CrowdStrike offers exceptional Endpoint Detection and Response (EDR) capabilities, along with fast response from the managed SOC	Integration with other products in the market may be somewhat complex
It ensures real-time protection and instantly acts on unidentified malware

G2 Rating: 4.6/5 

6. Vectra AI

Vectra AI is a cybersecurity company that leverages AI in the detection, investigation, and response effort in finding hybrid attacks using Network Detection and Response (NDR) solutions. Formed in 2008 by four cybersecurity experts, who used to work in the company TraceVector, Vectra AI leverages AI to take over monotonous, boring tasks and increase the capacity of human staff.

The Vectra AI Platform, powered by Attack Signal Intelligence, analyzes attacker behavior using AI and automatically triages threats. It correlates these threats and prioritizes each security incident for optimal response.

Features
Attack Signal Intelligence features enable your security teams to investigate and respond to the most advanced and urgent cyber attacks
The platform integrates all the necessary investigation context, putting relevant information at the fingertips of security teams for efficient analysis.
Vectra AI’s tool is sophisticated enough to meet the needs of experienced analysts yet simple enough for junior roles to use
Pros	Cons
Vectra AI is great for spotting and avoiding cyber attacks using artificial intelligence	Vectra AI currently offers only one report with different timelines. This may be insufficient for some users who require more comprehensive reporting capabilities
It’s always getting new features and detections to keep up with the latest threats	The cost is expensive
Vectra finds threats other tools might miss, helping you see what’s happening on your network
The sales team is there to help you before and after you buy

G2 Rating: 4.3/5 

7. Sprinto – The best alternative to AI cybersecurity with automation capabilities

Known for its expertise in compliance automation and continuous threat monitoring, Sprinto stands out as one of the cybersecurity tools available with top automation features.

What makes Sprinto unique is its seamless integration with your cloud infrastructure. This integration allows you to centralize risk factors, automate checks, and effortlessly implement real-time entity-level controls. 

With Sprinto, you gain access to a security program that puts you in charge of your security posture.

Features
Continuous Control Monitoring offers real-time monitoring of security controls, down to the entity level, efficiently and at scale
You can publish your certifications to showcase your security posture to the world
Easily manage and document vulnerabilities and endpoint security incidents
Define and segregate duties within your company to secure your cloud security
Choose from various security awareness training modules tailored to meet compliance requirements
100% asynchronous audit to coordinate directly with an auditor from your Sprinto dashboard
Automation-led security provides framework-specific security policies as templates, workflows, and training modules for various compliance standards
Pros	Cons
Shareable security posture enables you to showcase your security certifications around the clock	Implementation timelines may vary and could potentially extend beyond initial expectations. This is particularly true for larger organizations, due to factors such as complexity, scale, and organizational structure
Continuous control monitoring ensures you stay informed about your security controls 24/7
Benefit from expert-led implementation and management with Dr. Sprinto MDM
Integrate with over 100 other platforms and tools

G2 rating: 4.8/5

8. Darktrace

Darktrace, established in 2013 by mathematicians and cybersecurity experts, is a prominent global player in AI-driven cybersecurity. It offers 360-degree AI-powered solutions that help to eliminate cyber disruption.

The main products include: PREVENT, DETECT, RESPOND, and HEAL.

Features
Improved detection accuracy for subtle internal threats, thanks to new automatic calibration and advanced algorithms
Intuitive drag-and-drop interface for managing and tracking cyber incidents within the Threat Visualizer
Enhanced Enterprise Immune System with easier integration with other tools for stronger cybersecurity defenses
Pros	Cons
Darktrace can detect abnormal activity and take action against it or alert the SysAdmin	Darktrace’s service comes with a high price tag, which may be prohibitive for some organizations with budget constraints.
Provides details into network activities that may be challenging to identify through other means	It can be complicated to use and requires a significant amount of time to become familiar with its functionalities
Darktrace’s network behavioral analysis complements traditional signature-based tools like SIEM platforms	Investigating anomalous detections often leads to finding false positives, which can consume time and resources while potentially distracting from real threats
Detects intrusions and blocks them from harming your systems

G2 rating: 4.4/5

How do you choose the best AI cybersecurity solutions?

Choosing the right AI cyber security solution involves considering a lot of factors. In this section, we’ve listed some vital best practices that will help you pick the right solution.

1. Identify your security needs and goals 

Your company has its own set of potential risks, security needs, and goals to achieve. Evaluate security tools that fit what you need most. For example, pick an Identity Access Management solution to protect key assets and data from unauthorized access.

2. Review your current security architecture

Review your current security policies, procedures, and architecture diagrams. Understand the strengths and weaknesses of your existing security infrastructure and aim to identify areas of improvement.

This step is important because you must consider factors such as scalability, integration capabilities with existing security tools, ease of deployment, and support for regulatory compliance requirements. 

3. Investigate the potential vendors

When looking at potential vendors, check out what they offer. Identify what they do well and where they fall short. Are their solutions broad, or do they specialize in specific areas? Does the vendor align with compliance and regulatory requirements? Do they have a good track record of success?

4. Consider your budget

When you’re picking an AI cybersecurity solution for your company, think about your budget. You can compare costs and benefits to decide where to invest your money wisely.

Here are some money-saving tips to consider:

• Consider solutions that come with a free trial
• Explore various subscription levels based on your goals and operations
• Look for flexible billing options and customizable solutions that fit your organization’s needs
• Pick software that lets you scale up or down according to your needs

5. Think scalability

The tool should handle volume and adapt to your tech stack and setup perfectly. It should cover as many devices and systems as possible, ensuring coverage across a large area.

Even if your business is small, the tool should benefit you in the long run.

Take Sprinto, for example. It does not just help you in keeping your vulnerabilities in check. You can use it to create plug-and-play policies, constantly monitor real-time, gather evidence and documents, and more.

Effortless continuous monitoring around the clock

6. Is it easy to integrate with other tools?

Cybersecurity plans usually work best when they’re part of a team. They need to join forces with other systems to create a solid security plan without any gaps. They should connect with all your business devices, endpoints, IoT devices, etc, to gather all the necessary information. They should also collaborate with dashboards and alert systems.

7. Reliability and performance

Don’t forget about reliability and performance when choosing an AI cybersecurity solution. Look into their track record over the past 6-12 months compared to their service level agreements (SLAs). Also, make sure they have a monitoring and reporting system in place.

How can Sprinto help you?

In the wider context of AI and cybersecurity, there are many software and systems that need airtight protection and defense. Some vendors offer many features, while others specialize in just a few areas. While all the vendors we’ve mentioned provide strong solutions, it’s important to research and demo products until you find one that fits your cybersecurity needs well.

While we’re here, we think you should check out Sprinto as well.

While the platform isn’t AI-powered, it is packed with powerful automation features to help you deal with threats and accelerate the compliance process.

Sprinto does this by leveraging automation to streamline key compliance processes, evidence collection, and maintaining strict adherence to compliance standards.

Sprinto’s continuous monitoring feature is one of our strong suits. Continuous compliance makes it easy for businesses to evolve and scale without having to worry about misalignment or security incidents.

Ready to get started? Book a demo call with us.

FAQs

What is AI for cyber security?

AI for cyber security protects digital systems and information from cyber threats and attacks in real-time. AI and ML algorithms analyze data from multiple sources, providing cybersecurity experts with actionable data. It also uses behavioral and predictive analytics to give insights on how threats in cybersec can be mitigated. 

Who is the biggest company in cyber security?

Established in the heart of Santa Clara, California, the company Palo Alto Networks earns the title of the biggest cybersecurity firm. It not only brings to the table the latest security suite but is also acknowledged as the globe’s top authority when it comes to cyber security.

How is AI used in cybercrime?

AI systems assist with loads of cybersecurity tools and facilities like managed detection and response (MDR). Such instruments can operate much more efficiently and present information to your security teams compared to the manual approach.

Can AI overtake cyber security?

The short answer: is no. At this stage, AI is not ready to completely substitute for cybersecurity software and cybersecurity positions.