Identity is now the fastest-growing attack surface in the enterprise, and the hardest one to govern. Josys is the AI-native platform that closes that gap: it discovers, governs, and secures every identity, human, machine, and AI agent, across every application you run. Policy-led governance is at the core: define access policies once, and Josys enforces them autonomously, surfacing risk, controlling access, and remediating identity threats in real time without manual intervention. More than 1,000 organizations and MSPs rely on Josys to turn identity risk into an autonomously governed advantage. Visit josys.com to learn more.
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StackAI is an enterprise AI automation platform built to help organizations create end-to-end internal tools and processes with AI agents. Unlike point solutions or one-off chatbots, StackAI provides a single platform where enterprises can design, deploy, and govern AI workflows in a secure, compliant, and fully controlled environment.
Using its visual workflow builder, teams can map entire processes — from data intake and enrichment to decision-making, reporting, and audit trails. Enterprise knowledge bases such as SharePoint, Confluence, Notion, Google Drive, and internal databases can be connected directly, with features for version control, citations, and permissioning to keep information reliable and protected.
AI agents can be deployed in multiple ways: as a chat assistant embedded in daily workflows, an advanced form for structured document-heavy tasks, or an API endpoint connected into existing tools. StackAI integrates natively with Slack, Teams, Salesforce, HubSpot, ServiceNow, Airtable, and more.
Security and compliance are embedded at every layer. The platform supports SSO (Okta, Azure AD, Google), role-based access control, audit logs, data residency, and PII masking. Enterprises can monitor usage, apply cost controls, and test workflows with guardrails and evaluations before production.
StackAI also offers flexible model routing, enabling teams to choose between OpenAI, Anthropic, Google, or local LLMs, with advanced settings to fine-tune parameters and ensure consistent, accurate outputs.
A growing template library speeds deployment with pre-built solutions for Contract Analysis, Support Desk Automation, RFP Response, Investment Memo Generation, and InfoSec Questionnaires.
By replacing fragmented processes with secure, AI-driven workflows, StackAI helps enterprises cut manual work, accelerate decision-making, and empower non-technical teams to build automation that scales across the organization.
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Cisco AI Defense
Cisco AI Defense serves as a comprehensive security framework designed to empower organizations to safely develop, deploy, and utilize AI technologies. It effectively addresses critical security challenges, such as shadow AI, which involves the unauthorized use of third-party generative AI tools, while also improving application security through enhanced visibility into AI resources and implementing controls that prevent data breaches and minimize potential threats. Key features of this solution include AI Access for managing third-party AI applications, AI Model and Application Validation that conducts automated vulnerability assessments, AI Runtime Protection offering real-time defenses against adversarial threats, and AI Cloud Visibility that organizes AI models and data sources across diverse distributed environments. By leveraging Cisco's expertise in network-layer visibility and continuous updates on threat intelligence, AI Defense ensures robust protection against the evolving risks associated with AI technologies, thereby creating a more secure environment for innovation and advancement. Additionally, this solution not only safeguards current assets but also encourages a forward-thinking strategy for recognizing and addressing future security challenges. Ultimately, Cisco AI Defense is a pivotal resource for organizations aiming to navigate the complexities of AI integration while maintaining a solid security posture.
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Mindgard
Mindgard stands at the forefront of cybersecurity for artificial intelligence, focusing on the protection of AI and machine learning models, including large language models and generative AI, for both proprietary and external applications. Founded in 2022 and drawing on the academic expertise of Lancaster University, Mindgard has swiftly emerged as a significant force in addressing the intricate vulnerabilities that come with AI technologies. Our primary offering, Mindgard AI Security Labs, exemplifies our commitment to innovation by automating the processes of AI security evaluation and threat identification, effectively uncovering adversarial risks that conventional approaches often overlook.
With the backing of the most extensive AI threat library available commercially, our platform empowers businesses to safeguard their AI resources throughout their entire lifecycle. Mindgard is designed to seamlessly integrate with existing security frameworks, allowing Security Operations Centers (SOCs) to efficiently implement AI and machine learning solutions while effectively managing the unique vulnerabilities and risks associated with these technologies. In this way, we ensure that organizations can not only respond to threats but also anticipate them, fostering a more secure environment for their AI initiatives.
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