As artificial intelligence becomes embedded in everything from customer service to critical infrastructure, securing these systems—and using AI to improve security itself—has become a top priority. Traditional tools weren’t built for adversarial prompts, model theft, or real-time anomaly detection at scale.
That’s why a new generation of AI security companies is emerging. This list highlights 25 leading AI security vendors that help organizations defend against emerging threats, harden AI models, and streamline security operations with speed and precision.
However, choosing the right AI security company for your organization’s needs isn’t as cut-and-dry as it may seem. That’s why we’ve identified examples of the best AI security companies for various use cases, including:
Mindgard is a pioneering AI security company specializing in autonomous red teaming and continuous security testing for artificial intelligence systems. Founded in 2022 at Lancaster University and now based in London, Mindgard leverages over a decade of academic research to address the unique vulnerabilities inherent in AI models, particularly those that traditional security applications often overlook. The company’s flagship Offensive Security platform is designed to detect and remediate AI-specific threats at runtime, ensuring robust protection across the AI lifecycle.
Mindgard’s Offensive Security solution enables organizations to proactively identify and mitigate a range of AI-specific vulnerabilities, including prompt injections, model inversion, data poisoning, evasion attacks, and other adversarial attacks. It integrates seamlessly into existing CI/CD pipelines and supports a wide range of AI models, from large language models (LLMs) to image and audio systems. Mindgard’s extensive attack library—aligned with the MITRE ATLAS™ framework—and automated testing capabilities allow for the rapid identification of risks, reducing testing times from months to minutes.
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Vectra AI is a cybersecurity company that specializes in AI-driven threat detection and response. Founded in 2012 and headquartered in San Jose, California, Vectra AI operates in over 113 countries, providing AI security services to companies spanning a variety of industries, including finance, healthcare, education, and government.
The Vectra AI platform delivers comprehensive visibility across hybrid attack surfaces, encompassing identity systems, public cloud, SaaS applications, and data center networks. It leverages patented behavior-based AI to detect and stop advanced attacks that often evade traditional security tools.
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Cyera is a rapidly growing data security company that offers an AI-native platform designed to help organizations discover, classify, and protect sensitive data across different environments, including SaaS, PaaS, IaaS, and on-premise systems. The company, founded in 2021, has quickly become a leader in the data security posture management (DSPM) space.
The core of Cyera’s platform is its AI-driven engine, which enables rapid deployment without the need for agents. This allows for quick data scanning, classification, and risk assessment across an organization’s entire digital ecosystem. Cyera’s DataDNA technology utilizes machine learning, named entity recognition, and large language models to achieve high-precision data classification, reducing false positives and providing actionable security insights.
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Abnormal Security is a cybersecurity company that leverages AI to protect organizations from advanced email threats, including phishing, business email compromise (BEC), and account takeovers. Founded in 2018, the company’s Abnormal Behavior Platform leverages behavioral AI to detect anomalies in email communications by establishing a baseline of normal behavior for each user and vendor within an organization. This approach enables the platform to identify and remediate malicious emails that traditional security solutions might miss.
Abnormal Security’s AI-native architecture integrates seamlessly with cloud email platforms like Microsoft 365 and Google Workspace through API connections, allowing for real-time threat detection and response without the need for manual intervention. By analyzing thousands of signals related to user behavior and communication patterns, the platform can autonomously neutralize threats, reducing the burden on security teams and minimizing the risk of human error.
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Founded in 2011 and headquartered in Boston, Massachusetts, Rapid7 offers solutions to help organizations manage risk and eliminate threats across modern cloud environments. It offers a suite of products and services designed to provide visibility, analytics, and automation to simplify complex security challenges.
The Rapid7 AI Engine processes over 4.8 trillion security events weekly, enabling accurate threat detection and alert triage. By distinguishing between malicious and benign alerts, it reduces false positives and allows security analysts to focus on genuine threats. The AI Engine also powers an AI-native Security Operations Center (SOC) assistant, which leverages Rapid7's extensive internal knowledge base to guide analysts through complex investigations and streamline response workflows.
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Founded in 2024 and based in Boston,7AI is a cybersecurity company that leverages autonomous AI agents to handle routine, repetitive tasks traditionally managed by human analysts.
Its Agentic Security Platform deploys specialized swarming AI agents that can autonomously respond to alerts, enrich data, conduct investigations, and draw conclusions without human intervention. These agents are designed to offload non-human work, freeing up security teams to focus on high-value tasks.
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Arctic Wolf, founded in 2012, is based in Eden Prairie, Minnesota. It specializes in providing managed security services to organizations of various sizes across multiple industries. Arctic Wolf’s Aurora Platform is a cloud-native security operations platform that ingests and analyzes over 7 trillion security events weekly.
It’s designed to deliver scalable, automated threat detection, response, and remediation capabilities, leveraging AI and machine learning to reduce noise and transform thousands of daily alerts into a single actionable ticket for most customers.
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Armis Centrix™ is a comprehensive cyber exposure management platform designed to provide organizations with real-time visibility and control over their entire digital attack surface. Powered by the Armis AI-driven Asset Intelligence Engine, it enables the discovery, protection, and management of billions of assets worldwide, including IT, OT, IoT, and medical devices.
The platform delivers deep situational awareness across diverse environments—physical, virtual, cloud, and logical. Armis Centrix™ offers a unified asset inventory, enriched with contextual information, facilitating effective risk management and compliance reporting.
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Founded in 1993, Check Point is a leading global provider of cybersecurity solutions. Check Point’s Infinity Architecture is a unified security platform that delivers advanced threat prevention across various environments.
This platform incorporates ThreatCloud AI, a robust threat intelligence engine that utilizes over 50 AI engines and data from hundreds of millions of sensors to detect and block known and unknown threats, including phishing, ransomware, and zero-day attacks. The platform's AI capabilities enable real-time sharing of threat intelligence across networks, cloud services, endpoints, and mobile devices, ensuring consistent and comprehensive protection.
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Founded in 2011, CrowdStrike is a cybersecurity company based in Austin, Texas. Its Falcon platform is an AI-native, cloud-delivered solution designed to provide comprehensive protection across various digital environments.
Falcon utilizes a single, lightweight agent to deliver real-time visibility and protection, integrating capabilities such as endpoint detection and response (EDR), next-generation antivirus, threat intelligence, and managed threat hunting. The platform’s architecture allows for rapid deployment and scalability, enabling organizations to unify their security operations and reduce complexity.
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CyberArk was founded in 1999 and is now a publicly traded company on the NASDAQ (ticker symbol: CYBR) that serves 10,000+ customers across 110 countries. CyberArk offers a comprehensive Identity Security Platform that integrates intelligent privilege controls, continuous threat detection, and lifecycle management to enforce zero trust and least privilege principles across hybrid and multi-cloud infrastructures.
CORA AI, an advanced AI engine embedded throughout the platform, transforms identity-centric data into actionable insights and automates critical security functions, including anomaly detection, adaptive multi-factor authentication (MFA), and real-time policy recommendations based on user behavior.
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Cynet, based in Boston, MA, offers an all-in-one cybersecurity platform designed to simplify and strengthen threat protection for organizations of all sizes, particularly small to medium-sized businesses (SMBs) and managed service providers (MSPs).
CyAI, its proprietary AI engine, leverages machine learning models trained on millions of samples to analyze executable files across endpoints, enabling the detection of both known and zero-day threats before they can cause harm.
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Darktrace, based in the UK, leverages artificial intelligence to provide real-time threat detection and autonomous response across a variety of digital environments. Founded in 2013, the company has developed a platform that learns the unique patterns within a company’s network, enabling swift identification and mitigation of potential threats.
Darktrace’s Self-Learning AI builds an evolving understanding of “normal” behavior within a network by analyzing thousands of metrics. This enables the system to detect subtle variations that may indicate emerging threats, including novel malware and sophisticated cyberattacks.
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Exabeam was founded in 2013 and is headquartered in Foster City, California. Exabeam’s Security Operations Platform uses AI and automation to streamline threat detection, investigation, and response.
Its Threat Center serves as a centralized workspace, while Exabeam Copilot—an AI assistant—offers real-time insights and recommended actions to speed up resolution. Machine learning models analyze large data sets to detect subtle anomalies and reduce false positives. Over time, the system learns from incidents to continually improve threat detection accuracy and response efficiency.
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Fortinet, established in 2000 and based in Sunnyvale, California, provides comprehensive security solutions that safeguard networks, data, and applications across diverse environments. Fortinet Security Fabric is the company’s integrated platform that unifies various security components, enabling seamless communication and coordinated defense mechanisms across an organization’s infrastructure.
With over 15 years of AI research and development and more than 500 AI-related patents, Fortinet has developed a mature AI ecosystem designed to enhance threat detection, automate security operations, and protect AI systems themselves. This AI-driven approach is exemplified by FortiAI, a suite of solutions that leverages machine learning and automation to address the evolving cybersecurity landscape.
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Google Security Operations (Google SecOps) is a cloud-native, AI-driven platform designed to unify threat detection, investigation, and response (TDIR) across diverse environments. It integrates Security Information and Event Management (SIEM), Security Orchestration, Automation, and Response (SOAR), and threat intelligence capabilities into a cohesive system, enabling security teams to efficiently manage and respond to threats.
At the heart of Google SecOps is Gemini, an AI-powered assistant that enhances security operations through natural language processing and machine learning. Gemini allows analysts to perform complex searches using plain language, generate YARA-L detection rules, and receive contextual summaries of security incidents. It also assists in creating and editing response playbooks, streamlining the incident response process.
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Hunters is a cybersecurity company offering an AI-driven, next-generation Security Information and Event Management (SIEM) platform designed to enhance the efficiency and effectiveness of Security Operations Centers (SOCs), particularly those with limited resources.
The company’s Pathfinder AI employs a network of specialized AI agents to autonomously investigate and correlate security data across various domains such as network, cloud, identity, and endpoints. These agents work collaboratively to prioritize threats, filter out noise, and generate comprehensive attack narratives, enabling security teams to focus on genuine threats without the burden of manual triage.
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Microsoft Security Copilot is a generative AI-powered assistant designed to enhance the efficiency and capabilities of security and IT professionals. By leveraging Microsoft's vast threat intelligence and integrating with various security tools, Security Copilot enables teams to respond to cyber threats at machine speed and scale.
Security Copilot combines a large language model with security-specific capabilities, allowing users to interact using natural language prompts. This facilitates tasks such as incident response, threat hunting, intelligence gathering, and posture management.
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Founded in 2003, Mimecast specializes in advanced email and collaboration security solutions, protecting against a wide range of cyber threats, including phishing, malware, and business email compromise attacks. By leveraging AI technologies such as NLP, machine learning, and computer vision, Mimecast enhances its ability to detect and neutralize sophisticated cyber threats.
NLP enables the system to analyze the context and intent of email content, effectively identifying and blocking BEC attacks that rely on social engineering tactics rather than malicious attachments or links. It also offers a Misaddressed Email Protection feature, which leverages AI to monitor users’ email-sending patterns, alerting them when an email is being sent to an unrecognized or potentially incorrect address to prevent accidental data leaks.
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Okta is a leading identity and access management (IAM) company that provides cloud-based solutions to secure user authentication and manage digital identities across enterprises. Founded in 2009, Okta offers a suite of services—including Single Sign-On (SSO), Multi-Factor Authentication (MFA), and Identity Governance—designed to streamline access control while enhancing security.
Okta AI leverages over a decade of identity data and threat intelligence to deliver real-time identity actions that enhance security and user experience. For instance, AI-driven features like Identity Threat Protection continuously assess risks and automate responses to identity-based threats, such as phishing and credential stuffing attacks. It also offers a Policy Recommender, which suggests optimal security policies based on organizational needs, and Adaptive MFA, which adjusts authentication requirements dynamically based on user behavior and context.
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Proofpoint, founded in 2002, offers a comprehensive suite of cloud-based solutions designed to stop targeted threats, safeguard data, and enhance user resilience against cyberattacks. The platform’s AI engine, NexusAI, uses ML and deep learning techniques to analyze 100 billion+ data points daily to identify and block sophisticated cyber threats.
This includes detecting phishing campaigns, business email compromise (BEC) attempts, and anomalous user behavior in cloud accounts. NexusAI's ability to continuously learn from real-world threat data ensures that Proofpoint's security measures adapt to evolving attack vectors.
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Founded in 2013 and based in Mountain View, California, SentinelOne’s primary offering is its Singularity™ Platform, which unifies endpoint protection, extended detection and response (XDR), identity threat detection, and cloud security into a single, AI-powered solution.
Purple AI, SentinelOne’s generative AI security analyst, empowers security teams by automating complex threat hunting and incident response tasks. Through a natural language interface, analysts can query security data, receive AI-generated summaries, and execute remediation actions, significantly reducing mean time to detect and respond to threats.
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Shield AI is a San Diego-based defense technology company founded in 2015 that specializes in developing AI-powered autonomous systems for military applications. Hivemind, Shield AI’s AI pilot, enables unmanned systems to operate securely in highly contested and GPS-denied environments, where traditional systems fail. It doesn’t rely on remote control or communications infrastructure, dramatically reducing exposure to jamming, spoofing, and cyber interference.
Hivemind’s onboard autonomy eliminates the need for real-time data links, which are often the weakest link in electronic warfare. Instead, the system makes decisions locally, using AI for real-time mapping, threat detection, and navigation, even during signal-denied or adversarial conditions. This autonomy greatly enhances operational resilience while minimizing cyberattack vectors.
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Founded in 1985 and based in Abingdon, Oxfordshire in the UK, Sophos has evolved from developing antivirus software to offering a comprehensive suite of security products and services. Since 2017, Sophos has embedded AI capabilities across its product portfolio, enabling the identification and mitigation of both known and novel cyber threats.
For instance, Sophos Intercept X employs deep learning neural networks to detect malware without relying solely on signature-based methods, thereby improving defense against zero-day attacks, and Sophos's Extended Detection and Response (XDR) platform incorporates GenAI features that assist security analysts in accelerating investigations.
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Zscaler, headquartered in San Jose, California, is most well-known for its Zero Trust Exchange platform that facilitates secure, direct-to-cloud connections, eliminating the need for traditional network security appliances. The company's AI-driven capabilities enable real-time threat detection and response, leveraging vast datasets to identify and mitigate sophisticated cyber threats.
For instance, Zscaler's AI-powered phishing prevention system analyzes over 300 trillion daily signals to detect and block credential theft and browser exploitation attempts. Additionally, its AI-powered segmentation simplifies user-to-application segmentation, minimizing attack surfaces and preventing lateral movement within networks.
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Choosing the best AI security company in the evolving AI-driven threat environment requires more than simply examining AI-based product assertions. The wrong choice can lead to blind spots, false confidence, or wasted time. Here’s what to look for when evaluating AI security companies.
First, clarify what you need from an AI security company. Do you need to protect AI systems such as LLMs and vision models from adversarial threats? Or are you looking for vendors that apply AI technology to enhance your overall cybersecurity posture?
Don’t take “AI-powered” at face value. Ask how machine learning or generative AI is actually being used. Does the system have the ability to identify new threats while correlating unrelated signals and autonomously adapting over time?
The best AI systems reduce your analysts’ workload rather than just restructuring manual tasks. Choose vendors that showcase practical, real-time anomaly detection methods combined with behavioral analytics and automated response capabilities.
Your security stack is already complex. New tools should integrate seamlessly with your existing security systems, such as SIEM, SOAR, EDR, cloud platforms, and identity systems. Choose products that provide APIs while also offering built-in connectors and automation capabilities. Stay away from vendors that need custom plumbing or require you to completely change your workflows to realize value.
Case studies, benchmarks, and third-party validation matter. Ask AI security vendors for proof that their AI improves detection rates, reduces dwell time, or streamlines investigations. Talk to current customers if possible. You want a company that performs well under pressure.
AI dynamics change rapidly, and so do the threats. Whether you're defending AI systems or using AI to secure your infrastructure, choosing the right security partner is critical. From email protection to endpoint defense and adversarial testing, the companies in this list represent a range of capabilities tailored to modern threats.
For organizations looking to secure their AI systems at the model level, Mindgard’s Offensive Security solution stands out. Our platform’s automated red teaming, real-time threat detection, and deep integration with CI/CD pipelines provide robust, continuous protection across the AI lifecycle.
With a foundation rooted in academic research and a platform aligned with MITRE ATLAS™, Mindgard offers a purpose-built, offensive security approach to identifying and neutralizing AI-specific vulnerabilities, making it a strong choice for enterprises serious about securing their AI stack. Request a demo to learn more.
Traditional cybersecurity focuses on networks, endpoints, and cloud infrastructure, while AI security companies specialize in:
No, AI security tools can’t replace human security teams, but they can augment human analysts by:
AI-native security solutions like Darktrace and Vectra AI are built from the ground up with AI core to their functionality. AI-bolted solutions are traditional tools with added ML features, although these tools may lack depth in protecting against AI-specific threats.
These tools use behavioral AI to model normal user and email activity, flagging anomalies like phishing attempts, impersonation, and business email compromise based on context rather than static rules.
Assess their threat detection depth (e.g., adversarial attack coverage), ability to secure AI pipelines, runtime monitoring capabilities, integration flexibility, and credibility through case studies, benchmarks, or MITRE ATLAS™ alignment.
