MudraID vs. Fleece AI

Auth0 adopts a contemporary method for managing identity, allowing organizations to ensure secure access to applications for all users. It offers a high degree of customization while remaining both straightforward and adaptable. Handling billions of login transactions every month, Auth0 prioritizes convenience, privacy, and security, enabling customers to concentrate on their innovative efforts. Furthermore, Auth0 facilitates quick integration of authentication and authorization processes across web, mobile, and legacy applications, featuring advanced Fine Grained Authorization (FGA) that expands the capabilities of traditional role-based access control, thereby enhancing security measures overall.

Pensero represents an advanced platform that utilizes artificial intelligence to improve observability and performance metrics, specifically tailored for engineering teams and their leaders to achieve a more profound comprehension of software development activities. By automating the gathering and integration of "work signals" from the tools your team currently employs, such as code repositories, issue trackers, and communication apps, it converts fragmented tasks into detailed insights. These insights are then translated into objective metrics, real-time dashboards, and thorough reports that not only indicate the amount of work accomplished but also incorporate complexity and workflow nuances. Utilizing Pensero allows you to instantly access information about active projects, individual team member contributions, and the overall workflow within the organization, while also revealing how team productivity correlates with strategic initiatives and business goals. Its smooth integration and ability to scale ensure that teams can quickly turn raw data from diverse tools into actionable insights that enhance performance. By streamlining the analysis of software development processes, Pensero ultimately enables organizations to refine their development efforts more efficiently than they ever thought possible, fostering an environment of continuous improvement and innovation.

Gemini Enterprise Agent Platform is an advanced AI infrastructure from Google Cloud that enables organizations to build and manage intelligent agents at scale. As the evolution of Vertex AI, it consolidates model development, agent creation, and deployment into a unified platform. The system provides access to a diverse library of over 200 AI models, including cutting-edge Gemini models and leading third-party solutions. It supports both low-code and full-code development, giving teams flexibility in how they design and deploy agents. With capabilities like Agent Runtime, organizations can run high-performance agents that handle long-duration tasks and complex workflows. The Memory Bank feature allows agents to retain long-term context, improving personalization and decision-making. Security is a core focus, with tools like Agent Identity, Registry, and Gateway ensuring compliance, traceability, and controlled access. The platform also integrates seamlessly with enterprise systems, enabling agents to connect with data sources, applications, and operational tools. Real-time monitoring and observability features provide visibility into agent reasoning and execution. Simulation and evaluation tools allow teams to test and refine agents before and after deployment. Automated optimization further enhances agent performance by identifying issues and suggesting improvements. The platform supports multi-agent orchestration, enabling agents to collaborate and complete complex tasks efficiently. Overall, it transforms AI from a productivity tool into a fully autonomous operational capability for modern enterprises.

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.

Effectively tracking third-party scripts removes ambiguity, guaranteeing that you remain informed about what is sent to your users' browsers. The uncontrolled existence of these scripts within users' browsers can lead to major complications when issues arise, resulting in negative publicity, possible legal repercussions, and claims for damages due to security violations. Organizations that manage cardholder information must adhere to PCI DSS 4.0 requirements, specifically sections 6.4.3 and 11.6.1, which mandate the implementation of tamper-detection mechanisms by March 31, 2025, to avert attacks by alerting relevant parties of unauthorized changes to HTTP headers and payment details. c/side is distinguished as the only fully autonomous detection system focused on assessing third-party scripts, moving past a mere reliance on threat intelligence feeds or easily circumvented detection methods. Utilizing historical data and advanced artificial intelligence, c/side thoroughly evaluates the payloads and behaviors of scripts, taking a proactive approach to counter new threats. Our ongoing surveillance of numerous websites enables us to remain ahead of emerging attack methods, as we analyze all scripts to improve and strengthen our detection systems continually. This all-encompassing strategy not only protects your digital landscape but also cultivates increased assurance in the security of third-party integrations, fostering a safer online experience for users. Ultimately, embracing such robust monitoring practices can significantly enhance both the performance and security of web applications.

Kitecyber: Data & Gen AI Security, Built on the Endpoint Your most sensitive data—customer records, source code, financial data, IP, now leaves through browsers, Gen AI prompts, SaaS uploads, and the clipboard, faster than any network tool can react. Kitecyber stops that at the source, with a single lightweight agent that runs directly on the endpoint and acts the instant data is touched, not after it's already gone. Because it lives on the device, Kitecyber has full context: device posture, OS, process, data, user, and network activity together, in real time. That's the vantage point network- and cloud-only tools simply don't have. Data security that keeps up with your data. Kitecyber classifies sensitive information with LLM-powered, context-aware intelligence across 80+ categories — PII, PHI, PCI, source code, IP — at over 90% accuracy, not brittle keyword matching. It tracks data lineage through screenshots, encoding, and file conversion that defeat traditional scanners, and blocks violations inline, before data ever leaves the endpoint. Gen AI security for the age of AI agents. Kitecyber tracks sensitive data pasted or uploaded into tools like ChatGPT, Claude, and Gemini and stops it in real time. It discovers shadow AI reaching your devices and extends visibility to the AI agents now acting on your users' behalf, the blind spot identity- and network-based tools were never built to see. Trusted globally. Kitecyber protects fintech, SaaS companies, Gen AI companies, BFSI, manufacturing, healthcare and SMB organizations across the USA, Europe, the Middle East, and APAC, and partners with GRC leaders like Vanta and Scrut Automation to unify security and compliance. It's SOC 2 Type II compliant, deploys in about a day, and delivers enterprise-grade protection without enterprise complexity. See what full-context data and Gen AI security looks like. Learn more at kitecyber.com.

Creatio is an agentic CRM and workflow platform with no-code and AI at its core, enabling organizations to automate workflows and manage customer relationships with unmatched flexibility and speed. Its intuitive no-code platform—combining visual application design, drag-and-drop process automation, and embedded AI—empowers business users to build and evolve applications of any complexity without heavy IT dependency. Teams can orchestrate both structured and unstructured workflows, leverage real-time analytics, and create dynamic dashboards, all while accelerating development cycles by up to 10×. At the core of the platform are AI agents that can understand context, analyze data, make decisions, and execute tasks across end-to-end workflows. This agentic approach enables organizations to automate not just tasks, but entire business processes—driving higher efficiency, faster time-to-value, and improved business outcomes. Creatio also offers a rich marketplace of pre-built applications, industry workflows, and connectors, allowing organizations to rapidly extend capabilities and adapt to evolving business needs. Built on a modern, AI-native architecture, the platform ensures seamless integration and scalability across the enterprise ecosystem. The Creatio CRM suite unifies marketing, sales, and service on a single platform with embedded AI agents, delivering a cohesive and intelligent customer journey. Organizations can deploy the full suite or individual modules, gaining the flexibility to scale and innovate while maintaining a single source of truth across all customer-facing operations.

Virtuoso QA is an enterprise agentic test automation platform establishing the standard of proof for software releases. As AI accelerates development, testing must keep pace without compromising confidence. Virtuoso QA delivers this through a governed testing loop for any browser-based application: AI proposes tests, a deterministic engine executes them, a person approves what matters, and every test run leaves evidence. At its core is Touchstone, the agentic layer where specialised agents handle the operational work of testing. The Analyst converts documentation into source-cited test requirements and identifies coverage gaps, the Architect designs the test journeys that validate each requirement, and Autopilot builds those journeys with human approval at key stages. Agents learn your application through the Knowledge Base and follow your team’s testing standards through Agent Directives. As applications change, test fixes are proposed as reviewable diffs, so no test updates without human oversight.

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.

Most contact centers are stitched together from tools that don't talk to each other — a phone system here, a chatbot there, a support queue that loses context the moment it changes hands. Dialpad Contact Center replaces that patchwork with one AI-native platform where voice, digital, and human agents work from the same intelligence. The difference is agentic action. Rather than summarizing a call after the fact, Dialpad's AI agents reason through the issue in real time and carry it to resolution on their own — no handoff required unless one actually adds value. Voice and data stop living in separate silos, so every channel feeds the same connected picture of the customer. That connected picture gets smarter with use. Dialpad is already past 775 million AI recaps, and every conversation adds to a base of intelligence that keeps improving resolution speed, agent output, and customer satisfaction over time. It's all run through Dialpad's Guardian layer, which keeps AI behavior secure, auditable, and within the boundaries enterprises expect. The result: up to 80% of tickets resolved without a person touching them, and a support team that spends its time on the cases that actually need human judgment — intelligence doing the routine work, people handling what matters. Skeptical an AI contact center can deliver on that? Dialpad's Proving Ground lets you pilot and measure real ROI before you commit, rather than adopting on promises alone.