Agent Security
Security for AI agents
About Agent Security
Agent Security, established as a leader in AI agent security, offers a comprehensive platform designed to safeguard autonomous systems. As AI agents become increasingly integral to business operations, the need for robust security measures is paramount. Agent Security addresses this need by providing a suite of tools and resources aimed at enhancing the security of AI agents. The platform offers insights, guides, and benchmarks that empower organizations to build secure AI systems and mitigate risks associated with autonomous agents. With the rise of AI technologies in 2026, Agent Security stands out by offering specialized services such as red teaming, MCP authentication, and OWASP guidelines tailored for AI agents. By focusing on these areas, Agent Security not only helps in identifying and mitigating potential vulnerabilities but also ensures compliance and trust across AI systems. The platform's unique approach to AI security makes it an indispensable tool for businesses looking to leverage AI safely and effectively. Its offerings are particularly beneficial for industries heavily reliant on AI, such as finance, healthcare, and technology, where data security and integrity are critical. Choosing Agent Security means opting for a solution that is at the forefront of AI security innovation, providing peace of mind in an increasingly complex digital landscape.
Agent Security Key Features
MCP Security Risk Assessment
This feature provides a comprehensive assessment of potential security risks associated with AI agents. It analyzes vulnerabilities and offers actionable insights to mitigate these risks, ensuring that AI systems operate securely and efficiently.
OpenAI AgentKit Integration
Agent Security integrates seamlessly with OpenAI's AgentKit, allowing users to plan, build, test, and deploy AI agents. This integration facilitates the development of robust AI systems by providing tools like Agent Builder, Agents SDK, ChatKit, and Evals.
Red Teaming for AI Agents
Red Teaming is a proactive security measure that simulates attacks on AI agents to identify vulnerabilities. This feature helps organizations strengthen their AI security posture by uncovering weaknesses and enhancing trust and compliance.
MCP Authentication
MCP Authentication secures AI models by verifying identities, enforcing permissions, and preventing unauthorized access. This feature is crucial for maintaining the integrity and confidentiality of AI systems.
OWASP Agentic AI Security Guidelines
This feature provides guidelines based on OWASP standards to help organizations identify, mitigate, and govern emerging risks in autonomous AI systems. It ensures that AI agents adhere to best practices in security.
MCP Scanners
Agent Security offers a range of MCP scanners that provide static scans, runtime guardrails, and CI support. These tools are essential for securing agent workflows and ensuring that AI systems are free from vulnerabilities.
AI Agent Deployment
This feature guides users through the secure and efficient deployment of AI agents across cloud, hybrid, and on-premise environments. It covers setup, lifecycle management, and best practices for maintaining security.
Security for Agents vs. Agents for Security
This feature explores the dual role of AI agents in security: securing AI agents themselves and using AI agents to enhance security. It provides a lifecycle model, best practices, and KPIs for safer automation.
Agent Security Pricing Plans (2026)
Enterprise
- AI Agent Red Teaming
- OpenAI AgentKit Guide
- MCP Authentication
- OWASP Agentic AI Security Guidelines
- MCP Scanners
- Custom pricing requires contact with sales.
- May require technical expertise for setup.
Agent Security Pros
- + Comprehensive security tools tailored for AI agents.
- + Proactive vulnerability identification through red teaming.
- + Detailed guides and resources for secure AI deployment.
- + Strong focus on compliance and trust in AI systems.
- + Integration with popular AI development tools and frameworks.
- + Regular updates aligned with the latest security standards.
Agent Security Cons
- − May require technical expertise to fully utilize all features.
- − Pricing details are not readily available on the website.
- − Limited information on integration capabilities with non-AI systems.
- − Potential learning curve for new users unfamiliar with AI security.
- − Some features may overlap with existing security tools.
Agent Security Use Cases
Enterprise Security Enhancement
Large enterprises use Agent Security to enhance the security of their AI systems, ensuring compliance with industry regulations and protecting sensitive data from breaches.
AI Development and Testing
AI developers utilize Agent Security's integration with OpenAI AgentKit to streamline the development and testing of secure AI agents, reducing time-to-market and improving system robustness.
Vulnerability Assessment
Security teams employ the Red Teaming feature to conduct vulnerability assessments on AI agents, identifying potential threats and implementing measures to mitigate them.
Compliance and Governance
Organizations leverage OWASP Agentic AI Security Guidelines to ensure their AI systems comply with security standards, thereby reducing legal and operational risks.
Secure AI Deployment
IT departments use the AI Agent Deployment feature to securely deploy AI systems across various environments, ensuring that security protocols are maintained throughout the process.
Workflow Security Optimization
Businesses utilize MCP Scanners to optimize the security of their AI workflows, ensuring that all processes are protected against potential threats and vulnerabilities.
What Makes Agent Security Unique
Comprehensive Security Suite
Agent Security offers a complete suite of tools and resources designed specifically for AI agent security, providing unparalleled protection for autonomous systems.
Seamless Integration with OpenAI
The platform's integration with OpenAI AgentKit allows for seamless development and deployment of AI agents, enhancing both security and functionality.
Proactive Vulnerability Identification
The Red Teaming feature proactively identifies vulnerabilities in AI systems, allowing organizations to address potential threats before they become critical issues.
Adherence to Industry Standards
Agent Security aligns with OWASP Agentic AI Security Guidelines, ensuring that AI systems are developed and maintained according to recognized security standards.
Who's Using Agent Security
Enterprise Teams
Enterprise teams use Agent Security to safeguard their AI systems, ensuring compliance with industry standards and protecting sensitive data from unauthorized access.
AI Developers
AI developers leverage Agent Security's tools to build and test secure AI agents, streamlining the development process and enhancing system reliability.
Security Analysts
Security analysts use Agent Security to conduct thorough risk assessments and implement measures to protect AI systems from potential threats.
IT Departments
IT departments utilize Agent Security's deployment features to ensure that AI systems are securely integrated into existing infrastructure, maintaining robust security protocols.
How We Rate Agent Security
Agent Security vs Competitors
Agent Security vs Pixee
Pixee offers general security solutions, while Agent Security specializes in AI agent security, providing targeted tools and resources. Agent Security's focus on AI-specific vulnerabilities sets it apart.
- + Specialized AI security focus.
- + Comprehensive guides and resources.
- + Proactive security measures.
- − Pixee may offer more general security features.
- − Pixee might have more transparent pricing.
Agent Security Frequently Asked Questions (2026)
What is Agent Security?
Agent Security is a platform dedicated to enhancing the security of AI agents, providing tools and resources to build secure AI systems and mitigate risks associated with autonomous agents.
How much does Agent Security cost in 2026?
Pricing details are not explicitly mentioned on the website. For specific pricing, it is recommended to contact sales for a tailored quote.
Is Agent Security free?
Agent Security does not offer a free tier. Pricing is customized based on organizational needs and requirements.
Is Agent Security worth it in 2026?
Given its specialized focus on AI security and comprehensive feature set, Agent Security is a valuable investment for organizations reliant on AI technologies.
Best Agent Security alternatives in 2026?
Alternatives include Pixee, Snyk (DeepCode), Sysdig, JFrog Xray, and Veracode, each offering unique features in the security domain.
Agent Security vs competitors in 2026?
Agent Security offers specialized AI security features, setting it apart from general security platforms like Pixee and Snyk (DeepCode).
How to get started with Agent Security?
To get started, visit the Agent Security website, explore available resources, and contact sales for a tailored solution.
What platforms does Agent Security support?
Agent Security supports various platforms, including cloud, hybrid, and on-premise environments, ensuring versatile deployment options.
Is Agent Security safe and secure?
Yes, Agent Security is designed to provide robust security for AI agents, ensuring compliance with industry standards and protecting against vulnerabilities.
Who should use Agent Security?
Organizations across industries such as finance, healthcare, technology, automotive, and government agencies can benefit from Agent Security's specialized AI security solutions.
What's new in Agent Security 2026?
In 2026, Agent Security continues to innovate with updated features and resources tailored to the evolving needs of AI security.
How does Agent Security compare to alternatives?
Agent Security offers a unique focus on AI agent security, providing specialized tools and resources not commonly found in general security platforms.
Agent Security Search Interest
Search interest over past 12 months (Google Trends) • Updated 2/2/2026
Agent Security on Hacker News
VS Code Extension
Agent Security Company
Agent Security Quick Info
- Pricing
- Freemium
- Upvotes
- 14
- Added
- January 3, 2026
Agent Security Is Best For
- Financial institutions seeking to secure AI-driven models.
- Healthcare providers aiming to protect patient data.
- Technology companies developing AI solutions.
- Automotive companies working on autonomous vehicles.
- Government agencies implementing AI initiatives.
Agent Security Integrations
Agent Security Alternatives
View all →Related to Agent Security
News & Press
OpenClaw AI Agent Goes Viral Despite Security Flaws - The Tech Buzz
OpenClaw AI Agent Evolves Raising Security Risks - findarticles.com
From Clawdbot to OpenClaw: This viral AI agent is evolving fast - and it's nightmare fuel for security pros - ZDNET
'Moltbook' social media site for AI agents had big security hole, cyber firm Wiz says - Reuters
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