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20 Best AI Security Software for 2024

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AI security software provides businesses with an advanced toolset to combat the ever-persistent threat of cyberattack. From identifying suspicious patterns to proactive threat hunting, AI security solutions offer a proactive and intelligent defense mechanism against malicious attacks.

Clearly the need for AI in security solutions is urgent: Cybercriminals are constantly evolving their techniques to breach security systems and compromise sensitive data. Companies that depend on only traditional cybersecurity solutions may not be able to stop these attacks – support from AI is more important than ever.

We reviewed 10 top-rated AI security solutions along with their features, pricing, and pros and cons. Plus down below we list an additional 10 honorable mentions to help you determine the best AI security tool for your business.

Here is a head-to-head feature summary comparison of the top-rated AI security software.

Darktrace’s cyber AI platform uses AI and ML algorithms to identify and respond to cyberthreats in real time. The platform offers a unified solution that provides protection across the cloud, SaaS, email, IoT, ICS, remote endpoints, and the network.

Darktrace’s self-learning AI technology is designed to understand and adapt to the unique patterns of a company’s network by learning from users and devices as well as the connections between them, allowing it to detect anomalous, novel behavior that may indicate a cyberattack.

The platform offers various AI-supported services, such as AI-based attack simulation and AI incident investigation and reporting. Darktrace’s AI algorithms constantly learn and adapt to the evolving threat landscape, enabling it to identify known and unknown threats and detect abnormal activity that may indicate the presence of previously unseen threats.

To that end, Darktrace is geared to combat LOTL (living off the land) attacks, highly targeted attacks and – increasingly important – AI attacks.

Darktrace doesn’t advertise its product pricing on its websites. Publicly available data shows the platform has a 30-day free trial for proof of value.

For your actual pricing, contact the company for a custom quote.

For a deeper understanding of cybersecurity and AI, read our guide: Generative AI and Cybersecurity

The CrowdStrike Falcon is an AI-native security solution that leverages machine learning, behavioral AI, and a custom large language model to protect endpoints, detect threats, and respond to security incidents in real-time. It consolidates next-generation antivirus (AV), endpoint detection and response (EDR), and a 24/7 managed hunting service into a single lightweight agent, providing organizations with complete visibility and protection across their endpoints.

The lightweight agent continuously monitors and protects endpoints against various attacks by leveraging real-time indicators of attack and threat intelligence from across the enterprise, thereby providing proactive threat-hunting capabilities.

CrowdStrike uses behavioral AI to detect anomalies in user endpoint behavior, meaning it can monitor current activity as compared with past user actions to protect the perimeter. Its models are trained on trillions of data points daily, allowing it to target threats ahead of time.

All bundles require a minimum purchase of 5 devices.

SentinelOne’s AI-backed cybersecurity solution, SentinelOne Singularity, is an autonomous security platform that combines endpoint protection platform (EPP), EDR, and extended detection and response (XDR) into a single unified platform.

The platform leverages AI and ML algorithms to provide real-time prevention, detection, response, and threat hunting across user endpoints, containers, cloud workloads, and IoT devices. It protects against a wide array of cyberthreats, including malware, ransomware, exploits, and fileless attacks.

We ranked SentinelOne’s Singularity as one of the best AI security solutions because it aims to simplify and strengthen enterprise security operations by providing comprehensive and automated protection across the entire threat lifecycle, from pre-execution to post-execution.

In sum, its integrated suite of tools works in concert to enable excellent incident response and threat hunting functionality.

Check Point Software Technologies leverages AI capabilities to enhance its cybersecurity offerings at various levels. Its ThreatCloud AI platform, which drives the actions of the platform’s elements, collects and analyzes threat data from various sources.

This AI intelligence also supports Check Point’s global sensors, research teams, customers, and partner community. This intelligence is then integrated into Check Point’s security solutions to protect against known and unknown threats – the AI enables the response to be proactive.

Check Point’s Quantum also leverages AI and deep learning capabilities to protect your network, cloud, data center, IoT, and remote users against Gen V cyberattacks (also known as “advanced weapon grade” attacks). Its threat prevention solution includes security features such as a firewall, intrusion prevention system (IPS), anti-bot, antivirus, application control, and URL filtering to enable you to combat cyberattacks and threats.

Check Point doesn’t advertise its rates on its websites. Contact the company for a detailed quote.

Fortinet FortiGuard is an AI-powered system incorporating threat intelligence, real-time threat analysis, and global threat protection to identify and block advanced threats and attacks. The services integrate with security solutions across Fortinet’s broad portfolio to provide security capabilities that protect applications, web traffic, content, devices, and users located anywhere.

A core element: the platform is regularly updated with the latest threat intelligence from FortiGuard Labs experts, data from across Fortinet’s broad sensor base, and zero-day intelligence feeds. This ensures that organizations are protected against emerging threats and zero-day vulnerabilities.

Additionally, FortiGuard’s service portfolio includes content security and NOC/SOC security (very important given the core nature of the Security Operations Center). It also offers SOC-as-a-Service functionality and provides consistent cybersecurity exams and readiness alerts.

Fortinet doesn’t advertise its rates on its websites. Contact the company for a detailed quote.

Zscaler is a cloud-based security platform that provides internet security and web filtering services. It uses proprietary large language models and AI to enhance and improve its security offerings.

The company’s LLMs are integrated with a massive data lake that handles more than 300 billion daily transactions, allowing for continuous learning and improvement of its AI models. This enables Zscaler to provide advanced AI-driven outcomes and capabilities for IT and security teams.

These AI-driven outcomes are particularly notable for data loss prevention; Zscaler’s common DLP use cases includes securing data in motion, securing endpoint data, and the ability to protect against misconfigurations.

Zscaler operates on the principle of zero-trust connectivity, meaning that it assumes everything on the network is potentially malicious and does not automatically trust any user or device. Instead, it authenticates and validates every user and device before granting access to resources, which also supports DLP.

Zscaler doesn’t advertise its rates on its websites. Contact the company for a detailed quote.

Trellix is a product of the merger of the security product divisions of McAfee Enterprise and FireEye. The platform excels in continuous monitoring – which enables proactive threat detection – by combining signature-based identification, behavioral analytics, and real-time monitoring.

Trellix XDR leverages advanced machine learning and AI techniques to analyze, correlate and monitor data from various sources, including network traffic, endpoint behavior and threat intelligence feeds. Its continuous monitoring enables it to detect sophisticated and complex threats that traditional security solutions might miss.

Trellix’s AI and security operation is capable of operationalizing threat intelligence, reducing alert noise and automating responses to security incidents, resulting in faster response times and proper incident management.

Notably, its XConsole combines security controls and an advanced research center to provide a unified view of the security landscape and enhanced visibility into network traffic, endpoint activity, and user behavior — allowing analysts to identify and remediate threats before they can cause damage.

Potential customers must contact an expert at Trellix to receive pricing information.

Vectra AI Attack Signal Intelligence platform combines human intelligence, data science, and machine learning to detect cyberattacks in real time. The company’s AI and cybersecurity solution gives organizations constant visibility into their network security posture, helps prioritize potential threats, and enables quick response and mitigation to minimize the impact of hybrid cyberattacks.

Significantly, with the prevalence of “hybrid attacks” (two or more combined attacks to break the perimeter) Vectra offers a tool to prevent these attacks. The tool combats various hybrid attack types, such as account takeovers, data breaches, ransomware, supply chain attacks, and nation state attacks – this last attack tends to be particularly robust.

Vectra AI uses the detect, prioritize, investigate, and respond model to remediate and mitigate cyberthreats and also integrates detections across identity, public cloud, SaaS, and data center networks to provide a holistic view of an organization’s security landscape.

Though Vectra AI doesn’t display product pricing on its website, publicly available information reveals that Vectra’s Cognito Threat Detection and Response pricing ranges up to $5,000 for month-to-month licenses and up to $50,000 for annual licenses, depending on your selected service. For actual rates, contact Vectra’s sales team for a quote.

Cybereason’s platform uses behavioral analytics and artificial intelligence to detect and respond to threats in real-time, helping organizations recognize and stop attacks before they can cause significant damage.

Among its other defense strategies, Cybereason’s platform combats MalOps, which is the full range of events that take place in coordinated hacking attacks. To accomplish this, the solution uses NGAV-based behavioral and machine learning techniques, with an approach that works to prevent known and unknown MalOps threats for fast response across the network and cloud infrastructure.

Cybereason uses an AI-driven XDR platform – as cybersecurity professionals know, the XDR architecture is considered to be leading-edge in the security sector. Its XDR tools enable forensic analysis to assist security teams as they investigate and remediate security incidents in rapid-response mode.

Potential customers must contact an expert at Cybereason to receive pricing information.

Tessian’s platform uses AI behavior-based protection to prevent accidental and intentional loss of data over email – an important goal, given that email is one of the true weak points in the perimeter.

Tessian protects organizations from phishing attacks, accidental data leakage, and unauthorized email activity. It uses AI algorithms to analyze email communication patterns, identify suspicious behavior, and provide real-time warnings and training to employees regarding potential security risks. Significantly, Tessian is capable of protecting companies against compromised business email, account takeover and “misdirected” email. It also offers tools to combat image and QR code attacks, which is an attack type that will likely grow in the years ahead.

Tessian’s goal is to make email communication more secure and prevent data breaches caused by human error or malicious intent. The worst of these threats, like financial fraud and credential theft, do certainly deserve special tools to combat them – they cost businesses large sums annually. 

Tessian doesn’t advertise its product pricing on its website. However, publicly available data shows that the Tessian Cloud Email Security platform (100 inboxes protected) costs $40,080 per year. Contact the company sales team for a quote to get your actual pricing.

Aside from the AI security solutions we analyzed above, other top-tier platforms worth mentioning are as follows. 

There are many factors that determine the best AI security solution for you. These include your security needs, organization size, team, and budget. While most AI security software promises similar capabilities, they are not created equal — some are more powerful than others, with cutting edge XDR capability, while some excel in certain areas like predictive threat response.

For instance, Tessian caters to those shopping for email security, while Check Point is more focused on network security. Vectra includes tools to prevent hybrid attacks.

Review your current security architecture and determine which areas need AI-powered solutions — email security, network security, endpoint protection, data loss prevention, or insider threat detection. Be sure to consider costs, features, complexity, and integrations before settling for a solution. To the extent possible, use a trial version of the AI cybersecurity solution before making a final decision.

We answered the most commonly asked questions about the best AI security solutions to help you determine the best option for your business.

The best AI security tool for you depends on your needs. Our analysis above evaluated several top-rated AI security solutions for different users. The best solution for your business is one that integrates fully into your existing infrastructure.

AI security solutions leverage machine learning algorithms to analyze network traffic, user behavior, and system logs to detect patterns and anomalies associated with known or unknown threats. AI can analyze these threats far faster than human security administrators.

AI helps in incident response by automating the analysis of security events, prioritizing alerts based on risk, and providing insights into the root cause of incidents. AI’s strength in incident response is that the system “learns” over time, and so is increasingly effective month after month.

When shopping for your company’s best AI security solution, select the one that ticks all or most of your boxes – specifically, the one that truly works with your infrastructure, with its mix of on-premise, network configuration and cloud-based software.

As you consider the features and capabilities of various AI security tools, it is also necessary to consider the product costs. Since most vendors do not advertise their rates on their website, you must contact their sales team for personalized quotes to determine if the tool is within your budget – realize you likely have some bargaining power in these situations. Additionally, ensure you understand the vendor’s reputation, customer support, and implementation process.

For a deeper understanding of the power of artificial intelligence, read our guide, What is Artificial Intelligence? 

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