BAND develops comprehensive interaction frameworks tailored for large-scale applications of distributed AI agents. This platform enables real-time, collaborative communication between agents and humans while integrating a runtime control plane that maintains policy adherence, establishes authority boundaries, and guarantees transparency across varied systems.
Moreover, BAND supports developers, engineering teams, and leaders overseeing enterprise platforms that manage multi-agent ecosystems across internal frameworks, SaaS offerings, and collaborative environments with partners. This robust support not only improves operational efficiency but also stimulates innovation within intricate organizational frameworks, ultimately driving progress and adaptability in a rapidly evolving technological landscape.
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Jscrambler is the leader in Client-Side Security, protecting the code, data, and digital interactions that power modern web applications.
As organizations increasingly adopt AI-generated code, third-party software components, and AI-powered agents, more critical application logic and sensitive data are exposed within the browser. Jscrambler provides the security and governance layer for this environment, giving enterprises visibility and control over what happens at runtime.
The Jscrambler Client-Side Security Platform is powered by a Behavioral Enforcement Core that continuously monitors and enforces how application code, including AI-generated code, third-party scripts, AI agents, and sensitive data behave in the browser. By enforcing software integrity and data governance at runtime, Jscrambler helps organizations prevent client-side attacks, protect sensitive data, and maintain control over digital experiences.
Trusted by organizations across financial services, retail, travel, healthcare, and other industries, Jscrambler helps enterprises address client-side security and compliance requirements including PCI DSS, GDPR, HIPAA, CIPA, CCPA, and the EU AI Act.
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Jozu
Jozu serves as an AI-powered platform dedicated to enhancing the security of supply chains by confirming the integrity of artifacts before they are executed, overseeing agent activities in real-time, and keeping a detailed log of all subsequent actions. The Jozu Hub functions as a self-contained repository for models, agents, MCP servers, and skills, guaranteeing that each artifact is integrated with cryptographic signatures, attestations, comprehensive scans, policy compliance, and audit records. This platform's security assessment, specifically designed for AI applications, tackles numerous threats such as hidden executable code within model packages, compromised weights, data poisoning, prompt injection, insecure tools, and licensing breaches. Users can establish policies once, which are then distributed as signed OCI artifacts, with enforcement occurring during the actions of pulling, promoting, admitting, or executing these artifacts. Furthermore, Jozu Agent Guard collaborates seamlessly with workloads across servers, desktops, edge devices, and isolated systems, applying local filtering for prompts and input-output, implementing access controls for tools, requiring approvals, and enforcing policies in real-time. By adopting this all-encompassing strategy, Jozu significantly boosts security while also providing a resilient framework for managing and protecting AI-related artifacts throughout their entire lifecycle. Ultimately, this ensures that users can trust the integrity and compliance of their AI systems.
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Peta
Peta acts as a sophisticated control plane for the Model Context Protocol (MCP), facilitating, securing, regulating, and supervising the interactions between AI clients and agents with external resources, data, and APIs. The platform incorporates a zero-trust MCP gateway, a secure vault, a managed runtime environment, a policy engine, human-in-the-loop approvals, and extensive audit logging into a unified solution, allowing organizations to enforce detailed access controls, protect sensitive credentials, and track all interactions performed by AI systems. Central to Peta is Peta Core, which serves as both a secure vault and gateway, responsible for encrypting credentials, generating ephemeral service tokens, ensuring identity verification and policy compliance for each request, managing the lifecycle of the MCP server through lazy loading and auto-recovery, and injecting credentials at runtime without exposing them to agents. Furthermore, the Peta Console enables teams to determine which users or agents can access specific MCP tools within defined environments, set up approval processes, manage tokens, and analyze usage data along with associated costs. This comprehensive strategy not only bolsters security but also promotes effective resource management and accountability across AI operations, ultimately leading to improved operational efficiency and enhanced oversight. By integrating these functionalities, Peta establishes a robust foundation for organizations seeking to optimize their AI-driven initiatives.
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