AI Security clearly occupies its' own distinct category within cybersecurity.
This owes itself to the widespread adoption of machine learning, generative AI, and autonomous systems across enterprise environments.
As organisations deploy AI models into production, they are discovering that traditional security controls are not designed to protect AI pipelines, training data, inference layers, or model outputs.
This shift has given rise to a new generation of AI cybersecurity companies building specialised AI security tools to address risks unique to AI-driven systems.
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AI Security Companies
Companies that specialize in AI Security focus on these types of security services:
- Model manipulation
- Prompt injection
- Data leakage
- Supply chain poisoning
- Uncontrolled model behaviour
All of these above examples represent material AI security risks for modern organisations.
At the same time, established cybersecurity vendors have embedded AI deeply into their platforms, positioning themselves as providers of best rated AI security for cloud systems, networks, and endpoints.
The result is a fragmented but fast-maturing vendor landscape that spans legacy security leaders, AI-native startups, and open-source innovation.
Our List of Cyber Security AI Vendors
Our list - so far - has 18 AI Security companies - or better said - infosec companies that offer a competency within security AI systems.
In this post we've listed a bunch of vendors that we feel are shaping today’s AI Security market.
These companies represent the types of organisations actively educating buyers through webinars, product briefings, and technical deep dives — making them a natural fit for AI Security webinar promotion.
Leading AI Security Vendors
Darktrace Cyber Security
Darktrace applies machine learning to detect anomalous behaviour across networks, cloud workloads, and SaaS environments. Its AI-driven approach focuses on identifying unknown threats in real time.
Check Point Security
Check Point integrates AI across threat prevention, cloud security, and network protection. Its platforms use machine learning to block advanced attacks before they impact production systems.
Lasso Security
Lasso Security focuses on securing generative AI usage within enterprises. The platform helps prevent sensitive data exposure through large language models.
CrowdStrike AI Security
CrowdStrike leverages AI and behavioural analytics to secure endpoints, cloud workloads, and identities. Its AI capabilities are central to threat detection and response at scale.
Palo Alto Networks AI Security
Palo Alto Networks embeds AI across its security platforms, including cloud, network, and SOC operations. The company positions AI as a core layer of modern cyber defence.
Fortinet AI Security
Fortinet uses AI-driven threat intelligence to secure networks and cloud environments. Its Security Fabric applies machine learning across detection and enforcement layers.
SparkCognition AI Security
SparkCognition develops AI-based solutions for cybersecurity, defence, and industrial systems. Its technology focuses on predictive threat detection and autonomous response.
Netskope AI Security
Netskope applies AI to cloud access security, data protection, and secure web gateways. The platform is designed to protect data as it moves across cloud services.
Orca Security AI Security
Orca Security delivers AI-powered cloud security posture management without agents. Its platform prioritises risks across cloud assets using contextual analysis.
Trellix AI Security
Trellix combines AI, automation, and analytics to detect and respond to threats across hybrid environments. The platform focuses on reducing dwell time and alert fatigue.
Protect AI Security
Protect AI specialises in securing machine learning systems and AI supply chains. It addresses risks such as model poisoning, tampering, and unsafe deployment.
Robust Intelligence AI Security
Robust Intelligence focuses on testing and hardening AI models before deployment. Its tools identify failure modes, bias, and vulnerabilities in AI systems.
Lakera AI Security
Lakera provides security controls for large language models and generative AI applications. The platform helps organisations prevent prompt-based attacks and misuse.
Adversa AI Security
Adversa focuses on adversarial AI defence, helping organisations protect models from evasion and manipulation. Its research-driven approach targets AI-specific attack techniques.
AIShield Security
AIShield delivers solutions designed to monitor, validate, and secure AI model behaviour. The platform supports governance and risk management for AI deployments.
Enkrypt AI Security
Enkrypt focuses on AI model protection and runtime security. Its tools aim to detect malicious inputs and unsafe outputs in real time.
MindGard AI Security
MindGard specialises in stress-testing AI systems against adversarial threats. The platform helps organisations understand how models behave under attack.
Patronus AI Security
Patronus AI focuses on evaluation and safety for generative AI applications. Its technology helps teams measure reliability, hallucinations, and output risk.
Open-Source AI Security
Open-source AI security projects play a growing role in model testing, transparency, and experimentation. These tools often influence commercial platforms and early-stage innovation.
Why Vendors Are Turning to Webinars
As AI Security remains an emerging and complex category, vendors increasingly rely on webinars to educate buyers, demonstrate technical depth, and explain real-world use cases. For AI Security companies, webinars are one of the most effective channels to reach CISOs, cloud architects, and security leaders actively evaluating AI-related risk.
This makes AI Security-focused webinar directories a high-intent discovery layer — connecting vendors directly with professionals seeking practical guidance on securing AI systems.
Further Reading
If you’re getting started with AI Security, begin with understanding exactly what is meant by "AI Security" to understand why AI systems introduce entirely new security requirements.
See why vendor education has become critical in generating sales leads for AI Security Vendors.
For a technical deep dive, learn you can hack LLMs using prompt Injection then conclude with LLM Security Platforms Explained to understand how GenAI governance and runtime protection are being implemented.
Interested in AI Security? Join our newsletter for breaking news alerts!