In This Article
AI powers critical business functions, but traditional cybersecurity tools were never designed to protect LLM applications, training data, or agentic AI workflows. The AI threat surface is expanding fast: prompt injection, model poisoning, data exfiltration through AI pipelines and adversarial attacks on inference endpoints are now everyday risks.
We evaluated 27 leading AI security companies for 2026--covering AI-native data security, LLM app protection, automated red teaming and AI-driven threat detection--so you can compare top vendors like CrowdStrike, Palo Alto Networks, Vectra AI, Prompt Security, Lakera and Mindgard side by side.
Filter the comparison table below by category, or search by use case to find the right AI security solution.
Featured AI Security Companies
We've identified seven as the preeminent AI security companies in the world. Our top picks stand out for their depth of AI-specific capability, ease of integration and real-world proven results. Below is a full, in-depth breakdown of each.
Here's a closer look at what makes each one worth considering:
- Mindgard: Great for Securing AI Systems
- Vectra AI: Great for Visibility into Attackers’ Movements
- Radiant: Great for AI-Powered SOC Automation
- Innowise: Great for DevSecOps-Integrated AI Security
- Cyera: Great for Data Security Posture Management
- Abnormal Security: Great for Preventing Social Engineering Attacks
- Rapid7: Great for Attack Surface Visibility
Mindgard: Great for Securing AI Systems
Mindgard is a pioneering AI security company that offers autonomous red teaming and continuous security testing for artificial intelligence systems. It also fits into the growing category of AI safety companies, helping companies identify unsafe model behavior. The company was founded in 2022 at Lancaster University, UK, and has since established its office in London. Mindgard has been utilizing more than a decade of academic research to address the vulnerabilities of artificial intelligence systems, especially those vulnerabilities that traditional security software fails to address.
Mindgard’s Offensive Security solution has been developed to provide robust security for artificial intelligence systems by detecting and remediating AI-specific threats in real-time. The product allows companies to mitigate various artificial intelligence-specific vulnerabilities, including prompt injections, model inversion, data poisoning, evasion, and other adversarial attacks.
The product integrates seamlessly into your company’s CI/CD pipeline and supports various artificial intelligence models, including large language models, image models, and audio models. The company’s product has been developed to test artificial intelligence models for various vulnerabilities and risks, including those risks identified by its comprehensive attack library, which has been developed in accordance with the MITRE ATLAS™ framework.
Key Features:
- Automated AI red teaming
- Extensive attack library
- CI/CD integration
- Compliance-ready reporting
- Artifact scanning
Vectra AI: Great for Visibility into Attackers’ Movements
Vectra AI is an artificial intelligence company specializing in cybersecurity threat detection and response. The company is headquartered in San Jose, California and was founded in 2012. It offers artificial intelligence-driven cybersecurity solutions to businesses of all sizes, serving customers in more than 113 countries. Vectra AI serves businesses across various industries such as finance, healthcare, education, and government.
Vectra AI's solution allows for full visibility into hybrid attack surfaces, including identity systems, public clouds, SaaS applications and data centers. Vectra AI utilizes patented behavior-based AI algorithms to discover and prevent attacks that bypass traditional security measures.
Key Features:
- AI-based threat detection
- Attack Signal Intelligence™
- Agentless architecture
- Automated response
- Hybrid and multi-cloud visibility
Radiant: Great for AI-Powered SOC Automation
Radiant Security specializes in Security Operations Center (SOC) technology with the mission of redefining how next-generation SOC teams operate. Radiant Security addresses problems that plague legacy SOC teams such as alert fatigue and manual triage, which unfortunately lead to slower operations and missed threats lost in a sea of false positives.
Radiant Security's solution leverages adaptive agent-driven AI to investigate alerts and automate most detection and response. It offers full and transparent insight into any decision made and allows ingestion from any alert source or security tool. Radiant Security also offers log management with unlimited retention as well as one-click or automated remediation paths.
Key Features:
- Automated false positive detection with easily understood reasoning
- Automatically creates response plans tailored to each unique incident
- Continuously monitors cloud, endpoint, identity, email, and network feeds
Innowise: Great for DevSecOps-Integrated AI Security
Innowise.ai is recognized as a thought leader in this market space as a comprehensive end-to-end AI security and development solutions provider specializing in implementing AI technology into customer enterprise systems. In addition to security compliance, client and customer data safety and future-proofing against yet unseen weaknesses are top priorities.
Innowise has over 19+ years in the IT industry, and our 3,500+ pool of talent can handle a variety of AI security challenges. The company utilizes machine learning to identify threats and detect anomalies in real time. It also offers automatic incident response to secure your network and protocols.
Key Features:
- Automated incident response
- Comprehensive threat detection
- Behavioral analysis using AI
- DevSecOps approach to integration
Cyera: Great for Data Security Posture Management
Cyera provides customers with a data security posture management solution that helps companies discover and classify data in any environment, including SaaS, PaaS, IaaS, and on-premise. Founded in 2021, Cyera is considered a leader in data security posture management..
Cyera’s AI-driven engine allows customers to deploy Cyera’s solution without agents and quickly classify and assess data across their environment. Cyera’s DataDNA is powered by machine learning and large language models to provide highly precise data classification with low false positive rates.
Key Features:
- Rapid agentless deployment
- Advanced data classification with DataDNA
- Identity access management
- Extensive data discovery
- Automated remediation
Abnormal Security: Great for Preventing Social Engineering Attacks
This AI cybersecurity company, Abnormal Security, gives teams the power to defend against sophisticated email threats such as phishing, business email compromises, and account takeovers. Founded in 2018, Abnormal Security’s Abnormal Behavior Platform utilizes behavioral AI technology to identify anomalies in email traffic by establishing a baseline of normal communication behavior for each user and vendor within an organization. Solutions such as Abnormal Security are often grouped with AI safety companies because they help prevent harmful outcomes.
Abnormal Security can integrate with any cloud-based email system, such as Microsoft 365 and Google Workspace, through API connectivity. This allows the company’s AI-Native security architecture to detect and respond to threats in real-time with no human involvement. The platform’s AI-Native tech can assess thousands of signals associated with user behavior and communication habits and act autonomously to mitigate threats without human intervention.
Key Features:
- Behavioral AI technology
- Autonomous threat prevention
- Detects insider threats
- Advanced scanning of attachments and links
- Intuitive incident response
Rapid7: Great for Attack Surface Visibility
Since launching in 2011 from its Boston, Massachusetts base, Rapid7 has dedicated itself to giving companies a clearer view of how to sidestep risks and eliminate threats in cloud environments. Rapid7’s products and services simplify business security by allowing for quick and easy solutions to complicated security problems.
Parsing over 4.8 trillion security events per week, Rapid7’s AI Engine accelerates precise threat detection and alert triage. By distinguishing between malicious and benign alerts, the AI Engine minimizes false positives, enabling security analysts to concentrate on critical issues. The AI Engine also drives Rapid7's AI-native Security Operations Center (SOC) assistant, equipping security analysts with context for handling complex security challenges through Rapid7's extensive internal knowledge base.
Key Features:
- 24/7 managed detection and response (MDR)
- Continuously assesses and prioritizes vulnerablities
- Advanced detection, investigation, and response
- Dynamic application security testing (DAST) for web applications and APIs
- Follows ML/LLM security best practices
Other AI Security Companies to Consider
7AI
7AI is a cybersecurity company launched in 2024 that leverages autonomous AI agents to automate analysts’ daily, mundane tasks.
With 7AI’s Agentic Security Platform, you’re given specialized swarming AI agents that can react to incidents, enrich data, perform investigations, and draw conclusions all on their own. These agents can handle any non-human work, allowing your human teams to focus on higher-value tasks.
Key Features:
- Deploys autonomous AI agents
- Automates tasks such as EDR investigation, identity threat detection and red teaming
- Agent-based modular architecture
Arctic Wolf
Founded in 2012, Arctic Wolf is a cybersecurity firm that delivers managed security services to enterprises and businesses of all sizes across various industries. The company’s main product is Arctic Wolf Aurora Platform.
The Arctic Wolf Aurora Platform is a cloud-native security operations platform that collects, analyzes, and takes action on more than 7 trillion security events per week.
Key Features:
- Managed detection and response
- Continuous vulnerability scanning
- Employee-focused training
Armis Centrix™
Armis Centrix™ is an enterprise cyber exposure management platform designed to provide 100% visibility and control to every organization over their entire attack surface, in real-time. Armis Centrix™ technology uses the Armis AI-driven Asset Intelligence Engine to deliver complete discovery, protection, and management for every asset across the globe. This includes billions of IoT and medical devices.
Gain complete awareness across your physical, virtual, cloud, and logical environments. Armis Centrix™ provides a comprehensive asset inventory with context-rich data you can use to manage risk.
Key Features:
- Complete asset visibility
- AI-powered risk prioritization
- Real-time threat detection and response
Check Point
Established in 1993, Check Point is a leading global cybersecurity company. Check Point Infinity Architecture delivers a comprehensive security platform that provides next-generation threat protection across every environment.
The platform provides ThreatCloud AI technology, delivering powerful threat intelligence that utilizes 50+ AI engines and data from hundreds of millions of sensors to help identify and block any known or unknown threats such as phishing scams, ransomware, and zero-day attacks.
Key Features:
- Automated policy setup and threat hunting
- Shares AI-driven intelligence across all environments
- Enforces access control and segmentation with AI
CrowdStrike
Headquartered in Austin, Texas, CrowdStrike is a cybersecurity company founded in 2011 that delivers AI-native, cloud-delivered platforms and services to provide enterprises with unified security across every environment.
The Falcon platform utilizes a single, lightweight agent to deliver on-demand visibility and protection through endpoint detection and response (EDR), next-generation antivirus, threat intelligence, and managed threat hunting. The Falcon Platform’s flexible architecture enables companies to bring all their security operations together under one cloud-native platform.
Key Features:
- Automated threat detection with Falcon OverWatch
- Watch for signs of credential theft, lateral movement, and privilege escalation
- Predicts attacks and makes defenses stronger with contextual intelligence
CyberArk
CyberArk is a leading publicly traded cyber security company (NASDAQ: CYBR) founded in 1999 with 25+ years of history. CyberArk currently has over 10,000 customers worldwide in 110+ countries. Its Identity Security Platform supports zero–trust architecture and least privilege access across hybrid and multi-cloud environments. With artificial intelligence systems becoming more autonomous, identity-focused companies like CyberArk can fall under the umbrella of AI safety companies, particularly where agent access and decision control are critical.
CyberArk’s proprietary AI technology, CORA AI, helps analyze identity-centric data for actionable insights while also automating functions such as anomaly detection, adaptive MFA, and real-time policy recommendations based on user behavior.
Key Features:
- Performs complex tasks with natural language commands
- Supports zero trust,and least privilege access
- Applies identity security principles to autonomous AI agents
Cynet
Headquartered in Boston, MA, Cynet provides organizations of all sizes with an integrated cybersecurity platform to simplify and strengthen their security posture. Their platform can be used by small to medium-sized businesses (SMBs) and managed service providers (MSPs) to make threat protection more efficient.
Embedded in the Cynet 360 Platform is CyAI, the company’s artificial intelligence engine. It’s trained with millions of data samples and can be used to analyze executable files on endpoints for known and unknown threats.
Key Features:
- Provides endpoint protection, NDR, UBA, and deception technology
- Scalable for any size business, including MSPs
- Offers pre-built playbooks
Darktrace
Darktrace is a UK-based company that provides artificial intelligence technology that detects and responds to threats in real-time across multiple digital environments.
The company, which was founded in 2013, uses patented Self-Learning AI technology that maps out normal behavior within a network by analyzing thousands of metrics. It can detect deviations in behavior that may signal new threats, such as newly developed malware and advanced attacks.
Key Features:
- Cross-domain visibility for detecting multi-stage attacks
- Explainable AI technology with automatic threat detection
- Real-time, automated threat response
Exabeam
Established in 2013, Exabeam is located in Foster City, California. Exabeam Security Operations Platform leverages AI to detect, investigate and respond to threats.
All security operations are conducted from Exabeam’s Threat Center. Using Exabeam Copilot, the AI assistant, you can get real-time visibility for rapid threat response and resolution. The machine learning system parses large amounts of information looking for anomalies that might be hard to detect by humans.
Key Features:
- AI-driven playbooks for faster response
- Identifies anomalies with ML technology
- Understands typical user and device behavior
- Learns from past security incidents to improve detection accuracy
Fortinet
Founded in 2000 and based in Sunnyvale, California, Fortinet offers security solutions that help to secure networks, data, and applications across various environments. Fortinet Security Fabric delivers a unified security solution that bundles together various security components. These solutions share intelligence and operate together to secure your organization.
Fortinet has been in the business of researching and developing AI for more than 15 years. They currently have over 500 AI patents. With this experience, Fortinet has built a comprehensive AI ecosystem designed to enhance capabilities such as threat detection, automation, and AI security. One of these products is FortiAI, a suite of AI-powered security products to help tackle various security challenges.
Key Features:
- Integrated security solution that protects endpoints, networks, clouds, and applications
- AI-driven threat detection and alert triage
- Threat protection for AI models and data
- FortiAI provides AI-driven threat detection and automation
Google Security Operations
Google Security Operations or Google SecOps is a cloud-native AI-powered platform that can help organizations consolidate threat detection, investigation, and response across their diverse environments. The Google SecOps platform unifies SIEM, SOAR solutions, and threat intelligence into a singular, integrated experience.
Gemini is Google’s AI assistant that can help power security operations. Simple natural language can be used to perform advanced security tasks such as intricate searches, YARA-L rule generation, and summaries of context during security incidents. Users can also create and modify response playbooks with Gemini.
Key Features:
- AI-driven threat detection and investigation
- SIEM + SOAR
- Cloud-native scalability
Hunters
Hunters provides artificial intelligence (AI)-powered next-gen SIEM security tools that can help understaffed Security Operations Centers (SOC) teams operate more efficiently.
Hunters’ Pathfinder AI works with AI agents that collaborate to automatically correlate security events across different security domains like network, cloud, identity, endpoints and more. These AI agents work together to help prioritize threats and eliminate noise, providing rich attack narratives to help SOC teams investigate attacks more efficiently.
Key Features:
- Pre-built detections with no manual tuning required
- Correlates links automatically to help reduce noise and prioritize threats
- Collects and normalizes data from AWS, GCP, and other tools to deliver full visibility
Microsoft Security Copilot
Microsoft Security Copilot is a generative AI-based assistant that can assist in improving the efficiency of security and IT teams in handling cybersecurity situations that may arise in the organization.
Security Copilot can assist in improving the efficiency of the team by leveraging the vast threat intelligence provided by Microsoft, thus enabling the team to respond to cyber threats at machine speed and scale.
Key Features:
- Built-in threat intelligence from Microsoft
- AI-generated summaries of the incident
- AI-generated steps for threat hunting
- Supports custom plugins and workbooks
Mimecast
Mimecast is a cybersecurity company that provides advanced email and collaboration security solutions to protect against various types of cyber attacks. Founded in 2003, the company uses advanced email security solutions to protect against various types of attacks. It uses AI technology like NLP, machine learning, and computer vision to increase its ability to detect and stop even the most advanced cyber attacks.
NLP is used to analyze the content and intent of an email. It identifies business email attacks that use social engineering techniques but contain no malicious content. Additionally, the company provides a feature called Misaddressed Email Protection. It uses AI technology to monitor email sending behavior and notify the user when an email is being sent to an unknown or incorrect recipient.
Key Features:
- Spots spoofed domains and fake branding
- Smart archiving uses AI for email continuity and classification
- Warns users before emailing wrong recipient
Okta
Okta is a renowned identity and access management company that provides cloud-based identity and access management solutions to protect user authentication and digital identity. Founded in 2009, the company provides a range of identity and access management solutions that include Single Sign-On (SSO), Multi-Factor Authentication (MFA), and Identity Governance.
Okta AI uses over a decade of identity data and threat intelligence to power identity actions in real-time. It provides several features that increase security and user experience. For instance, Identity Threat Protection uses AI technology to automatically respond to identity-based threats. Additionally, Policy Recommender provides personalized security policies using machine learning technology. Adaptive MFA is another feature that uses AI technology to adapt authentication in real-time based on user behavior.
Key Features:
- Adaptive MFA adjusts login security based on context
- Policy Recommender suggests optimal access policies
- Behavior analytics tracks user and entity activities
Proofpoint
Proofpoint has operated since 2002 and offers a range of cloud-based solutions that are aimed at protecting against targeted threats, data, and user resiliency against cyber threats. The company’s AI solution, Nexus AI, utilizes machine learning and deep learning algorithms that analyze over 100 billion data points every day to detect and stop sophisticated cyber threats.
This includes phishing, business email compromise, and suspicious activities in cloud accounts. The ability of Nexus AI to learn from real-life threats ensures that Proofpoint’s security is always on top of things, adapting to new and sophisticated threats.
Key Features:
- Smart classification automatically tags sensitive data
- Email coaching teaches users in real-time
- Detects threats with machine learning and identifies suspicious user activities
SentinelOne
SentinelOne has operated since 2013 and is based in Mountain View, California. The company’s main product is its Singularity™ Platform, which combines endpoint security, extended detection and response, identity threat detection, and cloud security in a single AI solution.
Purple AI is a product from SentinelOne that utilizes generative AI to empower security teams by automating complex threat hunting and response activities. The solution allows security teams to query data, summarize, and execute actions, all in a natural language format, hence improving mean time to detect and respond to threats.
Key Features:
- AI stops threats in real time without dependence on the cloud
- Rollback fixes ransomware damage automatically
- Fast, scalable threat analytics across data sources
Shield AI
Shield AI is a defense technology company that was founded in 2015 with the goal of developing AI-powered autonomous systems for the military. Hivemind, the AI pilot developed by Shield AI, allows unmanned systems to operate safely in highly contested and GPS-denied environments where conventional systems are not capable of operating. Hivemind doesn’t require any remote control or communications infrastructure, greatly reducing the chance of electronic attack through jamming, spoofing, or cyber interference.
Hivemind’s on-board autonomy removes the need for any kind of data link, which is typically the weakest link in electronic warfare. Instead, Hivemind can make decisions on its own using AI for real-time mapping, threats, and navigation, including in signal-denied or adversarial conditions. This greatly increases the operational resiliency of the system while reducing the attack surface for cyber attacks.
Key Features:
- GPS-free autonomy reduces the risk of jamming and spoofing
- Real-time AI mapping navigates threats on the fly
- AI dogfighting trains against live threats
Sophos
Founded in 1985, Sophos is headquartered in Abingdon, Oxfordshire, UK. The company has developed from an antivirus software company to one that now offers the broadest range of security products and services. In 2017, Sophos began incorporating AI technology into all of its products. This enables the identification of known and unknown cyber threats.
For example, Sophos Intercept X makes use of deep learning neural networks that can identify malware without the need for signature-based techniques. Additionally, Sophos Extended Detection Response (XDR) includes Gen AI features that assist security analysts in speeding up the process.
Key Features:
- Detects known and unknown malware without signatures
- Summarizes threats and provides recommendations
- Uses AI models enhanced by Sophos X-Ops intelligence for live threat updates
Zscaler
Zscaler is a California-based company with headquarters in San Jose, California. The company is mostly known for its Zero Trust Exchange solution, which allows for safe and direct cloud connections without the need for network security appliances. The company's AI-based solution provides real-time threat detection and response, using vast data sets to identify and counter complex cyber threats.
For example, Zscaler's AI-based solution for detecting and preventing phishing attempts analyzes over 300 trillion signals every day and detects and stops attempts to steal credentials and exploit browsers. Additionally, Zscaler's AI-based solution for segmentation simplifies user-to-application segmentation, reducing attack surfaces and preventing lateral movement.
Key Features:
- Detects threats and stops AI-powered attacks
- Zero-trust segmentation provides easy user-to-app segmentation
- Safeguards tools such as ChatGPT by analyzing prompts
AI Security Solutions: Categories and Use Cases
AI security solutions don’t fall into one bucket. Instead of one tool or layer, AI security includes solutions for everything from testing your models prior to production deployment to behavior monitoring at scale to securing the infrastructure where models run. That being said, most organizations will end up using multiple solutions from different categories.
Tools can secure AI systems from a variety of failure points:
- Vulnerable Code/Models: Injection flaws, object leaks, model theft, errors causing unintentional behavior (read more about securing AI code)
- Exposure: Data breaches, API attack surfaces, traversals/exfiltration through your environment
- Identity: Weak/stolen/bulk/user- uploaded credentials, abusive user accounts, internal attackers
- Real-time attacks: Damage being actively done to your systems
Each of these use cases is covered by a different security solution category.
Testing AI models prior to production deployment begins with AI red teaming tools. These solutions allow you to test for vulnerabilities such as prompt injection, jailbreaking, data exposures, and more.
Threat detection, SIEM, and behavioral AI platforms are used to detect insider threats and active anomalies. Developers can use these tools to detect unusual access patterns, lateral movement, and AI attacks in progress.
Data security tools are used to secure the sensitive data being put into AI systems. This extends to security for your proprietary data used to train models. Identity security products are used to prevent weak, stolen, or otherwise compromised credentials from accessing your systems.
This isn’t an exhaustive list of operational use cases either. SOC automation, MDR, and AI-powered security assistant tools help teams respond to threats faster and scale their expertise without heavy staffing.
Infrastructure for AI includes endpoint, network, and zero trust solutions. DevSecOps automation and attack surface management (ASM) tools help developers remediate risks earlier.
The table below maps common AI security categories to representative vendors and the core use cases they support.
Organizations can use this guide to better understand how different AI security solutions work together to protect different use cases.
Agentic AI Security Companies
Agentic AI is transforming how AI systems work. Instead of producing outputs in response to prompts, AI agents can act, call tools, access systems, and make decisions within the context of a multi-step workflow.
This fundamental shift in behavior creates a new security concern. If your outputs are data, you’re validating prompts and responses. But with agentic AI, the challenge becomes securing autonomous actions that can link up with APIs, databases, internal tools, and outside services in real time.
In response, a new class of agentic AI security companies is emerging. These platforms aim to control where agents can act and what they can access, while also governing how decisions unfold across multi-step workflows. This includes:
- Putting guardrails and standards around tool use
- Validating inputs and outputs at every stage of the workflow
- Monitoring for prompt injection attempts
- Understanding when and how an agent may be behaving outside of expectations
The goal is to ensure an agent doesn’t expose sensitive data or take actions that violate your controls.
Companies like Mindgard are already addressing this shift by testing and securing agent behavior before deployment and monitoring it in production. At the same time, broader security vendors are starting to extend their platforms to cover agent-driven workflows, especially where agents intersect with data access and infrastructure. As agentic AI adoption grows, we expect this category to expand quickly.
Tips for Selecting the Best AI Security Company
Selecting the right AI security company is difficult, especially since AI is now being weaponized in today’s evolving threat landscape. Simply comparing AI-based product claims won’t cut it. If you choose incorrectly, you could end up with blind spots in coverage or false peace of mind, which can ultimately lead to costly downtime. Here’s what to consider when shopping for AI security vendors.
Define Your Security Priorities
Understand what you’re looking for in an AI security company. Do you need a vendor that specializes in providing AI security for AI solutions such as LLM and vision models? Or do you need AI-based security products to improve your company’s cybersecurity defenses?
Evaluate the Depth of AI Capabilities
Ask vendors how their solutions leverage AI or machine learning. Are they capable of detecting new threats by piecing together unrelated data and learning over time?
The best AI solutions will lighten your analysts’ load rather than just changing the way they complete their day-to-day tasks. Look for vendors that can show you live examples of how their system detects anomalies, performs behavioral analysis, and responds to threats.
Look for Seamless Integration
Your security stack is likely complex enough. Don’t introduce new tools that don’t play nice with your current security solutions. That includes your SIEM, SOAR, EDR, cloud security, and identity tools. Don’t waste your time with vendors that will make you spend countless hours integrating something that might not even change your current workflow. Look for security companies that offer APIs and automation capabilities.
Prioritize Real-World Results
Lastly, you should ask to see results. Product brochures and website testimonials are great. But, seeing how a tool or company performs under real-world scenarios is always better. Ask AI security vendors how they plan to prove their AI is effective. After all, you want a company that can stand up to pressure.
AI Security for Large Language Models
Large language models introduce a unique security profile. They take in untrusted input and can produce dynamic responses while connecting to internal data or external tools. This creates attack vectors you won’t find in traditional exploits. Instead of trying to break your infrastructure, hackers will look for ways to abuse your model.
Take prompt injection, for example. Attackers can craft inputs with the intent to override system prompts or trick the model into leaking information. These inputs range from obvious prompts to information hidden within external content like documents or websites. Without any safeguards, an LLM may treat these inputs as legitimate instructions.
Much of LLM security revolves around putting guardrails between your users and your model. Runtime controls like guardrails can sanitize inputs and block outputs that violate policy, helping prevent unauthorized data insertion. Guardrails can help you enforce rules about tool usage, or block the model from regurgitating sensitive information. The goal is to keep the model aligned with expected behavior, even when inputs are unpredictable.
While stopping attacks is a priority, so is the ability to detect them. LLM security companies like Mindgard test LLMs with adversarial prompts. Aggressively hunting for issues like data leaks and prompt injection helps you discover vulnerabilities before attackers do.
Final Thoughts
As mentioned earlier, AI is a dynamic and changing entity, and so are the threats it presents. So, whether you’re protecting AI systems or using AI to protect your systems, it’s critical that you get a good security partner. And so, whether it’s email security, endpoint security, or adversarial tools, these vendors on this list can be of great assistance.
For organizations looking to protect their AI systems at the model level, Mindgard’s Offensive Security solution is the answer. Our platform’s automated red teaming, real-time threat detection, and strong integration with the CI/CD pipeline make it the go-to solution for organizations looking to protect their AI stack. The strong academic research backing the solution, along with the platform's alignment to the MITRE ATLAS™ framework, make it the answer for organizations looking to protect their AI stack through a purpose-built, offensive security solution designed to detect AI-specific vulnerabilities. Request a demo today.
Frequently Asked Questions
What are AI safety companies?
AI safety companies focus on preventing harmful or unintended behavior from AI systems. While this definition would include AI security vendors, AI safety companies are more specifically focused on aligning model behavior and preventing risk at the system level. Note that some vendors will fall into multiple categories. For example, solutions like red teaming or LLM guardrails could be considered both AI security and AI safety companies.
How do AI security companies differ from traditional cybersecurity companies?
AI security companies are protecting AI models from adversarial attacks while using AI to drive security workflows such as threat detection, response, and detecting behavior anomalies. Traditional cybersecurity companies focus on securing network,endpoint, and cloud-based infrastructures.
Can AI security tools replace human security teams?
AI tools won’t replace security teams but can augment your teams in a few different ways.
- Reducing false positives
- Automating repetitive tasks like threat triage
- Providing real-time threat intelligence
Human security teams must be part of the decision-making loop.
What’s the difference between AI-native and AI-bolted security solutions?
AI-native security solutions like Darktrace and Vectra AI build AI into the core foundation of the solution. AI-bolted-on solutions use AI as an afterthought. These AI-bolted solutions may not have the necessary capabilities to protect AI systems from AI-based threats.
How do AI-based email security solutions such as Abnormal Security work?
AI-based email security solutions like Abnormal Security utilize behavioral AI to learn user and email behavior. They then flag anomalous behavior like phishing, impersonation attacks, business email compromise, etc.
What is the best way for me to evaluate the effectiveness of an AI security vendor?
As you evaluate AI security vendors look for solutions that have depth in threat detection. Does it cover adversarial attacks? Can the solution provide security for your AI pipeline? Can it monitor your AI pipeline at runtime?
