Product Listings
HiddenLayer is a software designed to enhance the security of machine learning models used within enterprise environments. The software offers features such as threat detection and monitoring, model integrity assessment, and automated response capabilities to identify and respond to adversarial attacks on artificial intelligence systems. It addresses the business problem of protecting machine learning assets from manipulation, unauthorized access, and exploitation by providing visibility into model behavior and potential vulnerabilities. The software integrates with existing security infrastructure to detect suspicious activity related to AI deployments and supports compliance requirements by offering continuous monitoring and auditing of machine learning models throughout their lifecycle.
Mend.io is a software designed to address application security by enabling automated detection and management of open source vulnerabilities within the software development process. The software integrates with development and DevOps workflows to identify risks, provide actionable remediation guidance, and manage software licenses compliance. It helps organizations streamline vulnerability tracking, reduce manual intervention in the assessment of code dependencies, and supports secure software delivery. Mend.io aims to improve software quality and reduce exposure to potential threats by focusing on continuous monitoring and policy enforcement for both open source and custom code components.
Adversa AI Security Platform is a software designed to address vulnerabilities and risks in artificial intelligence and machine learning systems. The software analyzes AI models to detect and mitigate issues related to adversarial attacks, bias, privacy concerns, and model robustness. It provides features such as automated testing, continuous monitoring, and risk assessment to help organizations ensure the reliability and safety of their AI deployments. Adversa AI Security Platform supports various machine learning frameworks and is used to identify weaknesses in AI solutions, enabling businesses to enhance the integrity and trustworthiness of their AI applications across industries.
Cato SASE Cloud is a software platform that integrates networking and security capabilities using a cloud-native architecture. The software combines secure access service edge functions such as SD-WAN, firewall as a service, secure web gateway, cloud access security broker, and zero trust network access. It enables organizations to connect physical locations, cloud resources, and remote users to a unified, secure global network. By providing centralized management and visibility, the software helps address challenges related to complex network infrastructure, security policy enforcement, and remote connectivity. It is designed to support digital transformation initiatives and simplify both connectivity and security management across distributed environments.
Mindgard is a software developed to secure artificial intelligence and machine learning systems against cyber threats. The software provides capabilities for detecting, analyzing, and defending against attacks that target machine learning models. Mindgard offers features such as monitoring AI workloads, assessing vulnerabilities in models, and enabling automated response mechanisms to address both known and emerging threats specific to AI infrastructures. The software assists organizations in identifying risks posed to machine learning deployments and supports compliance efforts by documenting security exposures across different environments. Mindgard addresses the business challenge of protecting AI-driven operations from adversarial attacks and system compromise.
Pillar Security is a software designed to provide digital asset protection and security management for blockchain-based applications. The software features cryptographic key management, secure wallet infrastructure, and transaction authorization controls to help businesses safeguard their assets and enforce compliance with digital security policies. It enables organizations to manage access permissions, monitor activity logs, and secure sensitive data involved in decentralized finance, identity verification, and other blockchain solutions. Pillar Security addresses the challenge of securing digital assets in environments where traditional cybersecurity tools may not be sufficient, offering a dedicated platform for robust blockchain security and operational risk mitigation.
Prompt Security is a software designed to enhance the security of organizations utilizing generative AI applications. The software provides real-time monitoring and detection of threats targeting AI platforms to support data protection and compliance. It offers features that include identifying unauthorized access, alerting on potential vulnerabilities, and facilitating remediation processes. The software integrates with various AI tools to help safeguard against potential risks such as data leaks or prompt injection attacks. It addresses business challenges related to the safe and responsible deployment of AI technologies by delivering visibility and control over AI-related security events and enabling organizations to maintain secure AI environments.
TrojAI is a software designed to detect and mitigate threats in artificial intelligence models and machine learning workflows. The software focuses on identifying security vulnerabilities such as data poisoning, model tampering, and adversarial attacks in AI systems. It provides automated analysis and monitoring tools aimed at assessing model integrity, enabling organizations to strengthen the reliability and security of their AI deployments. TrojAI is utilized to prevent manipulation of training data and model parameters, assisting businesses in securing machine learning applications against various attack vectors while supporting operational compliance and risk management in AI environments.
Zscaler AI Red Teaming software is designed to simulate advanced cyber threats to test and strengthen organizational defenses. The software leverages artificial intelligence to emulate the tactics, techniques, and procedures of adversaries, enabling security teams to identify vulnerabilities in their digital infrastructure. It provides insights into potential gaps in security controls, helps validate detection and response mechanisms, and supports security risk management strategies. By automating complex threat scenarios, the software assists organizations in evaluating the effectiveness of their cybersecurity measures and improving their resilience against evolving threats in a dynamic landscape.
Protect AI is a software developed by Palo Alto Networks that focuses on securing artificial intelligence and machine learning systems. The software provides tools to detect security vulnerabilities, manage risks associated with AI models, and ensure compliance with organizational policies. Protect AI assists organizations in overseeing the integrity of AI deployments by monitoring model behavior, ensuring proper access controls, and tracing data used in machine learning processes. The software is designed to address challenges such as model transparency, unauthorized access, and the identification of security gaps throughout the machine learning lifecycle.