7 Best AI Cybersecurity Tools for Your Company

With advanced AI cybersecurity tools, you bring powerful capabilities to your security strategy. AI enhances threat detection, automates key security tasks, and strengthens your overall security posture, completing tasks with speed and accuracy that humans can’t match.

Here’s a guide to some of the best AI tools available today, along with their features, benefits, and potential drawbacks to help you choose the right option for your needs.

Why Integrate AI in Cybersecurity?

Cyber threats evolve fast, but AI helps your team’s defenses evolve faster. These new technologies equip you with the tools you need to stay ahead and solve security problems as they emerge—not after. 

With AI tools, your team can shift from reactive responses to proactive protection, allowing you to detect and address threats before they escalate. Machine learning platforms can analyze historical data to predict potential attack trends, helping you anticipate future threats and stay one step ahead. 

Additionally, AI automation takes over repetitive tasks like monitoring and scanning. You reduce human error and give your team the space to focus on complex problem-solving and strategic decision-making. 

Top 7 AI Cybersecurity Tools

With a growing array of AI tools on the market, it’s hard to determine which solutions will best serve your organization. Here are some of the leading AI cybersecurity tools, along with their features and advantages: 

1. Microsoft Security Copilot

Microsoft Security Copilot is a virtual assistant that streamlines your security workflows and protects your software. The AI analyzes vast amounts of security data, identifying patterns and prioritizing threats in real time. After that, it summarizes incidents and recommends response actions, which makes it easier for your team to understand and act on critical insights. 

This tool primarily benefits companies already embedded in the Microsoft ecosystem, providing seamless integration. But Copilot also works with a number of partners to enhance your experience. 

Pros:

• Easy integration with other Microsoft tools
• Uses AI for rapid threat identification and security insights

Cons:

• Not as flexible for organizations that use diverse, non-Microsoft platforms
• Requires customization to adapt to unique environments

Pricing: 

• Available through customized packages, dependent on organization-specific needs

2. Tessian 

Tessian’s complete cloud email security platform tackles advanced risks with AI-based threat detection. This AI network security solution uses a combination of behavioral analysis, content scanning, and threat network insights to proactively identify and block AI-based breaches, like ransomware and account takeover (ATO). 

Pros:

• Excellent at reducing the risk of phishing and business email compromise
• Features built-in AI security coaching for employees, raising awareness of potential threats
• Seamless integration with Microsoft 365 and Google environments, with deployment achievable in minutes

Cons:

• Occasionally flags legitimate emails as threats, leading to unnecessary delays
• Cost may be prohibitive for smaller businesses

Pricing: 

• Not publicly listed, but available upon quote request

3. Darktrace

Darktrace's ActiveAI Security Platform is a proactive cybersecurity solution that defends against known and novel threats. Unlike traditional approaches that rely on predefined attack patterns, Darktrace uses AI that continuously adapts based on your business operations’ unique characteristics. 

By understanding what’s typical for your network, cloud, and operational technology, Darktrace AI systems identify subtle anomalies that may signal an attack and respond autonomously to mitigate threats.

Pros:

• Highly adaptive AI learns and evolves with your network to effectively catch sophisticated threats
• Automated responses provide instant action, helping to contain attacks before they escalate

Cons:

• Higher costs may deter smaller organizations from adopting it
• The initial setup can be complex, requiring a substantial user learning phase

Pricing: 

• Custom quotes are available, with general pricing starting around $30,000 annually

4. SentinelOne

SentinelOne's Singularity platform combines endpoint detection and response (EDR) with extended detection and response (XDR) to protect various devices and environments.

This AI security software safeguards against ransomware, malware, and other advanced threats while allowing automated threat hunting and incident response actions. 

Pros:

• Offers real-time, automated incident response capabilities, limiting the impact of threats
• Comprehensive endpoint visibility makes it easier to track incidents across the network

Cons:

• Advanced features can be challenging for smaller teams to manage efficiently
• Reporting tools, while extensive, may be overwhelming without sufficient training

Pricing: 

• Packages begin at $69.99 per endpoint annually, with options for scaling up

5. Cylance

Cylance, which BlackBerry owns and runs, provides a proactive AI-driven endpoint protection platform called CylanceENDPOINT. It leverages machine learning and AI to predict, detect, and block cyber threats before they can execute. 

Unlike traditional reactive security models, Cylance focuses on a "prevent-first" approach, using AI to halt threats at the earliest stages — including those your system has never seen before. This approach demonstrates how AI is used in cybersecurity to stop breaches or zero-day attacks before they unfold. 

Pros:

• Focuses on proactive security and reducing risks before they materialize
• Lightweight and low impact on system performance, ideal for resource-constrained environments

Cons:

• Lacks some in-depth reporting and threat-hunting features in more advanced EDR solutions
• Limited integration options make it less flexible in diverse IT setups

Pricing: 

• Available upon request, and varies by organizational requirements

6. Cybereason

Cybereason's defense platform delivers complete visibility into malicious operations (MalOps) across all endpoints. With AI tools, behavioral analysis, and cross-machine correlation, this system helps you identify threats early and respond rapidly. 

Cybereason combines multiple security capabilities to minimize alert fatigue and streamline threat investigations, including EDR, XDR, and threat hunting. It also features one-click remediation options, empowering security teams to end threats with speed and precision.

Pros:

• Offers strong protection against ransomware and zero-day threats
• Provides a complete view of the attack narrative, aiding forensic investigations
• One-click remediation tools help to eliminate threats instantly across the network

Cons:

• The platform has a steeper learning curve, which may require more time for teams to adapt
• It may not be suitable for smaller companies or startups

Pricing: 

• Available upon request, typically provided through a tailored quote

7. Vectra AI

The Vectra AI Platform offers advanced detection and incident response capabilities, focusing on known and unknown threats across cloud, identity, SaaS, and on-premises environments. Its AI-powered solution goes beyond basic threat detection—leveraging behavior-based analysis and Attack Signal Intelligence to provide real-time insights into attacker methods. 

Vectra's platform unifies XDR with traditional network detection and response (NDR), helping teams detect, investigate, and respond to complex attacks efficiently.

Pros:

• Effective at detecting complex attack vectors involving multiple surfaces, such as cloud and on-premises
• Prioritizes context-aware threats, reduces alert fatigue, and helps your team focus on what matters most
• Integrates seamlessly with other security tools and offers managed detection services

Cons:

• Limited reporting capabilities may hinder some organizations that need more granular insight
• Product documentation could be more comprehensive to support new users

Pricing: 

• Available through custom quotes depending on the organization's size and specific security needs

How To Choose the Best AI Tool for Your Needs

When selecting an AI cybersecurity tool, take a look at your organization’s security goals, operational needs, and budget. Start by assessing your existing security infrastructure to identify gaps or vulnerabilities the new tool needs to address. Next, evaluate how well the tool might integrate with your current technology stack. If a top option won’t work with your existing systems, it’s likely not worth the effort to transition.

Another critical consideration is scalability. As your business grows, so will your security needs. Look for tools that evolve with you—without requiring a complete overhaul. They should also be relatively easy to use so you don’t waste precious hours training employees. Intuitive, user-friendly options should be at the top of your list. 

How Legit Security Is Leveraging AI 

AI will undoubtedly play an increasingly large role in cybersecurity, helping to identify risks faster and more accurately and allowing security teams to focus on more strategic tasks. There will likely not be an aspect of cybersecurity that isn’t affected. Even cybersecurity tools that aren’t completely built on AI will incorporate it in some capacity if they haven’t already.

For instance, Legit leverages AI to dramatically reduce false-positive results in its secrets scanner. Legit has developed a machine learning model that can be directed at vast amounts of code and fine-tuned (trained) to understand the nuance of secrets and when they should be considered false-positive. Given a secret and the context in which it was introduced, this model knows whether it should be flagged. Using this approach reduces the number of false positives while keeping true positive rates stable. In fact, using this technology, we have seen false positives drop by as much as 86%.

Learn more about Legit’s secrets scanning capabilities. You can also, for a limited time, request a Free Trial of the Legit Secrets Scanner.