Top 15 AI-enabled cybersecurity companies in 2022

Top 15 AI-enabled cybersecurity companies in 2022 Technology advancements are fueled by severe competition, which forces every supplier to include new ideas to stay ahead of the competition. As more new and innovative businesses enter the market, the demand for new approaches grows even more. Cybersecurity is a very busy topic right now, with new approaches and attack protection strategies sprouting daily. Artificial Intelligence (AI) has begun to appear in a variety of IT products, including cybersecurity, as a result of the advancement of AI methodologies. At the forefront of cybersecurity, an elite group of forward-thinking companies are using artificial intelligence (AI) in their products to defeat attackers and win clients.

The integration of cutting-edge technology like artificial intelligence and computer vision into IoT devices has resulted in a huge increase in cybersecurity measures. Several top cybersecurity companies are gaining traction in the fight against corporate intrusions. Various cybersecurity vendors that use artificial intelligence to defend internet-connected systems or other IoT devices exist. Artificial intelligence and machine learning can enhance a company’s cybersecurity by constantly monitoring for suspicious activity and resolving the problem before it becomes a big issue. To beat attackers and attract customers, an elite group of inventive cybersecurity companies is incorporating artificial intelligence into their products.

The leading AI cybersecurity vendors The cybersecurity sector has been changed by machine learning and flexible workflows. Here are the specifics on how each of the key players is contributing to this progress – 1.

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FireEye Fortinet Webroot Check Point Darktrace Sophos Cylance Symantec CrowdStrike Vectra SAP National Security Services, Inc. (SAP NS2) Vade Secure Cynet Callsign Blue Hexagon

1. FireEye

FireEye, which was founded in 2004, delivers threat intelligence technology that provides context and prioritizes attacks, allowing it to proactively protect against future threats. Threat detection, prevention, and response are all part of FireEye’s comprehensive platform of services and intelligence. The company has expanded into the manufacture of cybersecurity technologies that employ AI to monitor networks and discover anomalies as a result of innovation and acquisitions. This strategy, together with the transition from a fee-based to a subscription-based Software-as-a-Service model, has made the company profitable and changed what was beginning to appear to be an overvalued novelty into a sought-after investment. To protect customers from cyber-attacks, FireEye now offers a full portfolio of security solutions, intelligence, and services. 

Fortinet

Fortinet, founded in California, combines automated, self-healing networks with Al-driven security for quick and efficient operations. Fortinet’s AI capabilities include analyzing billions of cyber-attacks and sending intelligence based on that analysis to its clients via its FortiGuard Labs. FortiWeb, their AI-based firewall, detects threats with unprecedented precision using machine learning and two levels of statistical probabilities.

The Fortinet Security Fabric platform protects many of the world’s major enterprises, service providers, and government agencies. As the security fabric’s core analytical engine, the business created an AI-based Self-Evolving Detection System (SEDS). To be able to activate automatic defense operations to block any detected threats, the defense mechanism needs access to network resources such as firewall rules and operating systems. 

Webroot

Webroot uses artificial intelligence to block zero-day threats in real-time, offering threat intelligence to businesses around the world and endpoint and network protection. The company uses AI to combat phishing assaults and malware, particularly JavaScript malware, as well as other online threats such as botnets. To broaden its awareness of the threat landscape, Webroot’s machine learning capabilities provide greater insight into why particular attacks are problematic.

Other phishing solutions exist to detect a phishing site; many of them are based on metadata or URLs, relying on the classic list-based approach. To detect a phishing site, other organizations look for patterns in the URL. Webroot’s phishing solution, on the other hand, works in real-time, allowing it to open the URL and stop it there. 

Check Point

Check Point is a renowned cyber security solution supplier. Intellistore, Check Point’s fully customizable platform, is one of the most comprehensive and easy single-point control systems available, allowing users to select real-time threat intelligence that best meets their needs. This Israeli firm has long been a pioneer in the application of artificial intelligence in cybersecurity.

Check Point provides its customers with the option of customizing threat intelligence received via the IntelliStore platform, allowing for customized security tailored to the needs of the business.

Rather than developing a single AI-based threat management product, the company invested in three AI-driven platforms that support several of the company’s major services. Campaign Hunting, Huntress, and Context-Aware Detection are three of them (CADET). Campaign Hunting is a centralized service that provides the most up-to-date attack vectors and mitigation techniques to client-site threat detection systems. The Huntress AI-based system analyses the performance and behavior of the software in question and communicates any irregularities to Check Point’s central system. The CADET AI engine collects event data in real-time, allowing attackers to prevent attack paths that exploit seemingly unrelated resources at the same time. The threat database is fine-tuned by CADET’s unsupervised machine-learning function, which reduces debilitating false positives. It establishes a digital security analyst and immediately initiates preventative measures. 

Darktrace

Darktrace, based in the United Kingdom, was created by mathematicians in 2013. Thousands of firms across a wide range of industries have used Darktrace’s technologies to battle cyber-attacks in real-time. Darktrace’s services include machine learning-based analysis of real-time company data. This enables the study of any variations from normal behavior that could indicate that a company’s system is in jeopardy. Darktrace detects and neutralizes threats across networks, the cloud, and IoT using self-learning AI. With its Enterprise Immune System and Darktrace Antigena systems, Darktrace uses artificial intelligence to identify a wide range of threats at their early stages, including cloud-based vulnerabilities, insider attacks, and state-sponsored espionage. Enterprise Immune System serves as a foundation for all of the company’s cybersecurity offerings. EIS employs AI techniques and uses unsupervised machine learning to populate status rule bases. 

Sophos

Sophos, based in the United Kingdom, offers a diverse range of innovative solutions and services to protect users, networks, and endpoints against ransomware, malware, exploits, and phishing.

Sophos is a global leader in cybersecurity solutions for the next generation. SophosLabs and SophosAI provide threat intelligence, AI, and machine learning for this portfolio. Intercept X for endpoint protection and the XG Firewall for network protection are the two key AI-based Sophos products.

Intercept X employs artificial intelligence to eliminate the requirement for a centralized threat database. A deep learning neural network developed by Invincea, which was acquired by Sophos in February 2017, is at the heart of the service. This software keeps track of normal behavior on the protected device and sends out notifications when something unusual happens. When exploits and viruses are found, Endpoint Detection and Response (EDR) sets in motion workflows and actions to shut them down and isolate them. The XG firewall is a network hardware device. Its dashboard provides information on current network events and traffic, but its real value is in its automated response mechanisms, which enforce security without the need for human participation.

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Cylance

Cylance, a BlackBerry Limited division, is said to be the first cybersecurity protection provider to use artificial intelligence in its system. Malware, file-less attacks, and zero-day payload attacks are among the dangers that BlackBerry Cylance’s AI security technology safeguards against.

All of Cylance’s products include artificial intelligence. Cylance Protect, Cylance Optics, Cylance Threat Zero, and Cylance Smart Antivirus are the company’s primary offerings.

Endpoint security is provided by Cylance Protect. Essentially, this is an AI-based anti-malware solution that searches for changes in patterns of activity on the device rather than relying on an AV provider’s threat list transmitted via the internet. This technology not only monitors activity, but it also restricts access to the device. Cylance Optics is Cylance Protect’s corporate version.

Cylance Threat Zero is the company’s consulting branch. Another AI-based antivirus product that is ideal for home users and small companies is Cylance Smart Antivirus. 

Symantec

Symantec, currently known as NortonLifeLock, assists a wide spectrum of enterprises in protecting their infrastructures against threats. Symantec has used artificial intelligence (AI) to broaden its threat detection and prevention efforts. Symantec’s AI-powered security services include everything from endpoint protection to email and cloud application defense.

Accenture Security bought Symantec’s cyber security from Broadcom in January 2020, making it one of the major providers of managed security services and boosting its ability to help businesses predict, detect, and respond to cyber threats more quickly. The Symantec Targeted Attack Analytics (TAA) program models network behavior and creates a baseline of performance using unaided machine learning. Any deviation from the norm sets off an alarm.

TAA’s AI functionalities are built on top of the Symantec Cyber Defense Platform, which can collect performance data from several points across the network at the same time. TAA is now only available in the Symantec Advanced Threat Protection family of products, but it will most likely be included in all Symantec cybersecurity packages in the future. 

CrowdStrike Holdings Inc.

CrowdStrike was founded in 2011. Three of the top 10 global firms by revenue are among Crowdstrike’s clientele. Crowdstrike is a company that makes cloud-based endpoint protection software. The CrowdStrike Falcon system, also known as user and entity behavior analytics, is an AI-based detection system (UEBA). The UEBA concept is one of the most significant advances in the system security business, allowing it to escape the defective AV detection approach that was allowing too many new viruses onto systems.

The Falcon platform employs artificial intelligence to provide users with better visibility and protection throughout their whole business, with a focus on preventing endpoint threats. Falcon goes beyond simple threat detection by researching abnormalities automatically, taking the guessing out of threat analysis. CrowdStrike can provide real-time security, actionable threat

intelligence, and managed threat hunting around the clock with Falcon. Crowdstrike offers a unique technique for detecting hacked systems that incorporates a lot of machine learning. The AI technique used by CrowdStrike monitors all activity on an endpoint, analyzing each user’s activity and keeping track of all system operations that execute on a daily basis. 

Vectra

Vectra Networks Inc is a cybersecurity software company that was founded in 2010. For the cloud, data center, IoT, and organizations, Vectra AI provides AI-driven threat detection and response. The Cognito technology from Vectra combines human intelligence, data science, and machine learning to detect threats in real-time. It also automates security procedures that would otherwise be performed by analysts, cutting down on the amount of time it takes to examine threats. Cognito is a threat detection system that uses artificial intelligence (AI) to create a baseline of activity throughout an organization and spot anomalies. The system isn’t unified threat management or an intrusion prevention system because it doesn’t include automatic reactions to recognized threats. 

SAP National Security Services, Inc. (SAP NS2)

SAP NS2 is a wholly owned subsidiary of SAP, a global enterprise software company that provides a full suite of SAP enterprise applications, analytics, database, cyber security, cloud, and mobile software solutions, as well as specialized levels of security and support to meet the mission requirements of US national security and critical infrastructure customers. SAP NS2 is a cybersecurity system that uses data analytics and fusion technologies. AI and machine learning are also used by corporation to defend cloud platforms for a variety of customers. SAP NS2 AI and ML technology assist security professionals in processing large amounts of data and protecting sensitive information as it travels across several locations. 

Vade Secure

Vade Secure is one of the world’s largest email defense firms, using artificial intelligence and machine learning to defend over 600 million mailboxes in 76 countries against advanced threats such as spear phishing, ransomware, and malware. It assists MSPs and SMBs in defending their Office 365 subscribers against sophisticated email threats. To safeguard inboxes all around the world, Vade Secure will continue to invest in an AI-based threat detection engine. The company intends to expand its position as an industry leader in email security for ISPs. 

Cynet

Cynet uses artificial intelligence in its network threat detection systems, which analyze threats and act automatically. Cynet believes that advanced threat protection should be as simple to use as any other system monitoring tool. Cynet 360 is a cybersecurity software that uses artificial intelligence to automate and centralize breach defense.

Cynet 360 is a comprehensive cybersecurity solution that encompasses everything from antivirus endpoint protection to device detection, threat prediction, user behavior modeling, and

vulnerability management. A discovery phase of the system is used to discover all network devices and endpoints using standard network topology mapping methodologies. The system examines event logs and traffic patterns to create a baseline model of typical network activity.

Organizations without specialized cybersecurity workers might benefit from the Cynet network protection suite, which provides easy-to-use threat protection. 

Callsign

Callsign employs artificial intelligence and machine learning to verify a person’s identification based on a swipe on a touchscreen, the number of keystrokes on a keyboard, the number of locations visited, and other actions. Thousands of data points, including behavioral, device, locational, and telecoms, are collected by the platform to correlate identification attributes, which are then combined with threat analysis information to confirm that the data has not been hacked.

Intelligence-driven authentication, Callsign’s trademark platform, integrates multi-factor authentication with fraud analytics powered by deep learning technology to combat fraudulent activity ranging from identity fraud to SMS phishing. Other authentication businesses may employ artificial intelligence to detect fraud, whereas Callsign generates individual identity profiles. Because no two people are alike, the organization does not use general predictive models. 

Blue Hexagon

Customers can get real-time network threat prevention from Blue Hexagon, which can detect threats in less than a second. Blue Hexagon employs artificial intelligence to generate malware based on global threat data and the dark web, all in the name of putting its systems to the test and pushing its capabilities to their limits. Blue Hexagon’s technologies function in networks and the cloud, protecting against a wide range of attacks on a variety of platforms.

Blue Hexagon firewalls and controls can’t keep up with changing threats since they need to know what’s dangerous before they can block it. The key problem that Blue Hexagon solves here is using AI and machine learning to look at risks coming in, even if they are unknown, and mark them immediately. That allows us to deal with a million different things every day, which is what is driving all of the breaches.