Alternatives to TokenTally

Gemini Enterprise Agent Platform is Google Cloud’s next-generation system for designing and managing advanced AI agents across the enterprise. Built as the successor to Vertex AI, it unifies model selection, development, and deployment into a single scalable environment. The platform supports a vast ecosystem of over 200 AI models, including Google’s latest Gemini innovations and popular third-party models. It offers flexible development tools like Agent Studio for visual workflows and the Agent Development Kit for deeper customization. Businesses can deploy agents that operate continuously, maintain long-term memory, and handle multi-step processes with high efficiency. Security and governance are central, with features such as agent identity verification, centralized registries, and controlled access through gateways. The platform also enables seamless integration with enterprise systems, allowing agents to interact with data, applications, and workflows securely. Advanced monitoring tools provide real-time insights into agent behavior and performance. Optimization features help refine agent logic and improve accuracy over time. By combining automation, intelligence, and governance, the platform helps organizations transition to autonomous, AI-driven operations. It ultimately supports faster innovation while maintaining enterprise-grade reliability and control.

Anaconda is an AI-native development platform that gives teams a governed path from early experimentation to production AI deployment. The platform is built around trusted open-source packages, secure Python package management, controlled environments, and production-grade orchestration. Anaconda helps organizations avoid broken environments, dependency conflicts, security gaps, and deployment delays that can slow AI initiatives. Anaconda Core provides validated packages, automated security scanning, and intelligent dependency conflict resolution for Python and data science teams. Its platform capabilities support AI orchestration, trusted distribution, and enterprise workflows for building and scaling models. Anaconda is widely used across the AI, data science, Python, and enterprise developer communities. The company positions open source as a foundation for AI innovation and emphasizes Python as a core language for the next era of AI development. Anaconda also provides learning courses, certifications, reports, guides, professional services, documentation, and support resources. By combining package governance, environment management, open-source security, and AI development workflows, Anaconda helps teams build trusted AI systems on their own terms.

Amazon SageMaker is a comprehensive machine learning platform that integrates powerful tools for model building, training, and deployment in one cohesive environment. It combines data processing, AI model development, and collaboration features, allowing teams to streamline the development of custom AI applications. With SageMaker, users can easily access data stored across Amazon S3 data lakes and Amazon Redshift data warehouses, facilitating faster insights and AI model development. It also supports generative AI use cases, enabling users to develop and scale applications with cutting-edge AI technologies. The platform’s governance and security features ensure that data and models are handled with precision and compliance throughout the entire ML lifecycle. Furthermore, SageMaker provides a unified development studio for real-time collaboration, speeding up data discovery and model deployment.

Drata is an agentic trust management platform for automating governance, risk, compliance, security assurance, and third-party risk management processes. Its Enterprise GRC capabilities bring controls, risks, policies, and evidence into a centralized system while allowing organizations to map controls across multiple frameworks and reuse compliance work. Continuous compliance automation collects evidence, monitors controls, identifies issues, and provides guided remediation to help teams remain audit-ready as their environments change. Drata's Trust Center provides a secure location where prospects, customers, and other stakeholders can review an organization's security posture, request documents, and obtain answers to trust-related questions. AI-powered questionnaire automation supports the questionnaire lifecycle from intake and triage through processing and response generation, using an evolving knowledge base to draft consistent answers. Third-party risk management uses AI agents to create assessment criteria from existing questionnaires, collect documents from vendor Trust Centers, perform risk assessments, and conduct vendor follow-ups. Drata also provides AI Agent Governance capabilities designed to discover AI agents within an enterprise, enforce organizational policies before agent actions execute, and produce records of agent decisions for auditing. The platform supports frameworks and regulations including SOC 2, ISO 27001, ISO 42001, GDPR, HIPAA, PCI DSS, DORA, FedRAMP, CMMC, and custom frameworks. Drata is designed to support organizations ranging from startups establishing their first compliance programs to enterprises managing governance, risk, compliance, and trust requirements across multiple business units and regions.

Unity AI Gateway offers a unified framework for governance, monitoring, and expenditure management across various AI systems within an enterprise, enabling organizations to oversee agents, tools, models, MCPs, and AI frameworks from a single, regulated interface. It ensures consistent governance across AI services such as Databricks-hosted AI, external models, coding agents, and agent harnesses, while avoiding vendor lock-in for teams. Policies that are aware of user identities regulate agent access, permissible actions, and tool usage, while integrated, custom, and third-party safeguards maintain safety and compliance throughout prompts, responses, and interactions. This system records prompts, traces, tool interactions, payload logs, audit trails, token usage, and policy decisions to facilitate behavior monitoring, incident investigations, and compliance assistance. Furthermore, centralized financial controls enable tracking of consumption across various users, teams, applications, agents, and providers, incorporating budgets, rate limits, and strict spending caps to optimize resource allocation. By streamlining these processes, Unity AI Gateway empowers organizations to harness AI technologies effectively while adhering to their governance and budgetary frameworks.

Token Security presents an innovative strategy tailored for the booming era of Non-Human Identities (NHI), emphasizing a machine-first approach to identity security. In today's digital landscape, identities are omnipresent and often unmanaged; they manifest as machines, applications, services, and workloads, continuously generated by various sources throughout the day. The intricate and sluggish nature of managing these identities has resulted in an attack surface that organizations find difficult to navigate. Rather than concentrating solely on human identities, Token prioritizes the resources being accessed, swiftly revealing who accesses which resources, identifying vulnerabilities, and ensuring security without disrupting operations. Furthermore, Token adeptly identifies all identities across cloud environments, seamlessly integrating intricate components such as Kubernetes, databases, servers, and containers, thereby consolidating relevant identity data into a cohesive perspective. This comprehensive approach not only enhances security but also simplifies the management of identities within increasingly complex infrastructures.

Domino is a comprehensive enterprise AI platform that enables organizations to transform AI initiatives into scalable, production-ready systems. It supports the full AI lifecycle, including data access, model development, deployment, and ongoing management. The platform provides a self-service environment where data scientists can access tools, datasets, and compute resources with built-in governance and security controls. Domino allows teams to build machine learning models, generative AI applications, and intelligent agents using their preferred development environments. It also includes advanced orchestration capabilities to manage workloads across hybrid, multi-cloud, and on-premises infrastructures. Governance features such as model registries, audit trails, and policy enforcement ensure compliance and reproducibility. The platform enhances collaboration by providing a centralized system of record for all AI assets and experiments. Additionally, it helps organizations optimize costs through resource management and usage tracking. Domino is designed to meet enterprise standards for security and regulatory compliance. Ultimately, it empowers businesses to accelerate AI innovation while maintaining operational control and accountability.

Klique is a vendor-agnostic enterprise AI control plane designed to manage how AI requests, models, workloads, and compute resources are routed and governed. Its Smart Routing engine sends individual AI requests to suitable models based on policy, cost, latency, and data sensitivity while routing larger workloads according to infrastructure capacity, locality, and price. The platform can work with internal models, open-source models, hosted APIs from providers such as OpenAI and Anthropic, and AI workloads running across private or public infrastructure. AI Service Management turns model endpoints into governed services with centralized token budgets, spend limits, quotas, virtual keys, identity controls, and audit trails. These policies can be applied consistently across human users, software agents, development tools, teams, and projects. Klique’s GPU Orchestration engine pools GPUs, CPUs, and cloud resources so organizations can allocate compute using fractional sharing, quotas, and priority scheduling. It supports use cases including application inference, model training, data processing, research workloads, and production model serving. Klique can be deployed on-premises, in air-gapped environments, across major cloud providers, or in hybrid architectures while maintaining the same governance and visibility model. The platform is intended for enterprises, AI teams, IT organizations, research groups, and regulated environments that need centralized control over AI infrastructure, usage, and spending.

VerifyWise offers a comprehensive solution for AI governance, ensuring that businesses can deploy AI models securely, ethically, and in compliance with regulatory requirements. The platform provides key features such as AI framework implementation, real-time monitoring of model performance, audit trails for full transparency, and centralized inventory management for AI models. VerifyWise is built to support regulations like the EU AI Act and is designed to simplify the complex processes of compliance and risk management. With its user-friendly dashboards and open-source, transparent codebase, VerifyWise allows businesses to easily track and manage their AI models, mitigate risks, and ensure accountability throughout their lifecycle.

GolfMCP serves as an open-source framework aimed at simplifying the development and deployment of production-ready Model Context Protocol (MCP) servers, which empowers organizations to construct a secure and scalable infrastructure for AI agents without the hassle of boilerplate code. Developers can effortlessly define tools, prompts, and resources using straightforward Python files, while Golf takes care of essential tasks like routing, authentication, telemetry, and observability, allowing you to concentrate on the core logic rather than underlying plumbing. The platform incorporates enterprise-level authentication methods such as JWT, OAuth Server, and API keys, along with automatic telemetry and a file-based organization that removes the need for decorators or manual schema configurations. It also features built-in utilities that facilitate interactions with large language models (LLMs), comprehensive error logging, OpenTelemetry integration, and deployment tools like a command-line interface with commands for initializing, building, and running projects. Furthermore, Golf includes the Golf Firewall, a robust security layer tailored for MCP servers that enforces strict token validation to enhance the overall security framework. This extensive functionality ensures that developers are equipped with everything they need to create efficient AI-driven applications.

NewCore serves as a cutting-edge identity provider designed for both humans and AI agents, centered around a unified identity core that ensures every identity is visible, secure, and monitored from the point of access through to auditing. It recognizes employees, contractors, partners, machines, delegated agents, and autonomous workloads as primary identities within a singular framework. The Identity Security component fortifies trust associated with access using features such as single sign-on, passkeys, phishing-resistant multi-factor authentication, secure token signing, strength scoring for authenticators, and policies that are aware of security measures. Utilizing a Secure Split Key mechanism, it divides the signing authority between NewCore’s cloud infrastructure and the customer's own environment, ensuring that neither entity can independently sign a valid token. Furthermore, the Identity Discovery feature creates a comprehensive live graph that encompasses humans, agents, accounts, applications, authenticators, sessions, and access pathways, thereby illuminating shadow accounts, orphaned credentials, and unmanaged agents, which can pose security risks. This holistic approach to identity management not only enhances security but also streamlines the process of tracking and managing diverse identities within an organization.

Coder offers self-hosted cloud development environments, provisioned as code and ready for developers from day one. Favored by enterprises, Coder is open source and can be deployed air-gapped on-premise or in your cloud, ensuring powerful infrastructure access without sacrificing governance. By shifting local development and source code to a centralized infrastructure, Coder allows developers to access their remote environments via their preferred desktop or web-based IDE. This approach enhances developer experience, productivity, and security. With Coder’s ephemeral development environments, provisioned as code from pre-defined templates, developers can instantly create new workspaces. This streamlines the process, eliminating the need to deal with local dependency versioning issues or lengthy security approvals. Coder enables developers to onboard or switch projects in a matter of minutes.

Businesses shouldn't have to compromise their security policies to adopt AI. Holiday provides an independently controlled business knowledge environment where AI access is governed through software-enforced permissions. The business sets the boundaries. The software enforces them. AI operates inside them. Independent environment: Isolated PostgreSQL business knowledge database, separate from source applications. Independent permissions: AI access governed by Holiday rather than simply inheriting Salesforce, SharePoint or other application permissions. Hard-coded boundaries: Permissions enforced through software, not AI instructions or system prompts. Purpose-built APIs: Efficient, structured access to business data, designed specifically for AI. Model independence: Compatible with an AI strategy involving multiple model providers.

FairNow provides organizations with the AI governance tools needed to ensure global compliance, and manage AI risks. FairNow's features, which are centralized, simplified, and empower the entire team, are loved by CPOs and CAIOs. FairNow's platform constantly monitors AI models in order to ensure that each model is fair, audit-ready, and compliant. Top features include: - Intelligent AI risk assessments: Conduct real-time assessment of AI models using their deployment locations in order to highlight potential reputational, financial and operational risks. - Hallucination Detection : Detect errors and unexpected responses. Automated bias evaluations: Automate bias assessments and mitigate algorithmic biased as they happen. Plus: - AI Inventory Centralized Policy Center - Roles & Controls FairNow's AI Governance Platform helps organizations build, purchase, and deploy AI with confidence.

CureTotal serves as a comprehensive management solution tailored for hospitals, clinics, diagnostic centers, and pharmacies. This platform integrates various functionalities including patient records, workflows for both outpatient and inpatient services, appointment scheduling, bed management, diagnostics, pharmacy inventory management, billing, insurance claims processing, finance, and reporting, all within a single system. Healthcare staff can utilize this platform to streamline operations across front-desk, clinical, pharmacy, and administrative activities, with role-based access ensuring that different departments can manage their distinct responsibilities effectively. Additionally, the system provides tools for overseeing hospital operations across multiple locations, offering insights into patient queues, occupancy rates, stock levels, collections, and claims status. It also features Tally synchronization capabilities for improved accounting processes, and the vendor offers options for both cloud-based and on-premise deployment to cater to varying organizational needs. Ultimately, CureTotal is designed for healthcare entities aiming to enhance the coordination of clinical and administrative tasks through a unified platform, accommodating everything from small clinics to expansive hospital networks. This unified approach not only improves efficiency but also enhances patient care through better management of resources and information.

OneTrust AI Governance is a comprehensive tool designed to safeguard the return on investment in artificial intelligence by converting AI-related risks into actionable controls, thereby enabling teams to effectively govern while maintaining agility. It bridges the gap between enterprise governance and technical realities, allowing organizations to accelerate AI implementation, mitigate risks, and uphold trust as AI technologies advance in real-world applications. The platform assists teams in organizing their AI systems and evaluating risks through a central inventory that tracks models, datasets, agents, and vendors, while also designating ownership, lifecycle status, and understanding interdependencies of components. By utilizing global frameworks such as the EU AI Act, NIST, and ISO 42001, it standardizes the process of identifying AI risks and features automated workflows for risk categorization based on use cases, systems, or components, along with mapped risk and control frameworks for continuous compliance. Additionally, OneTrust enhances the efficiency of approvals, attestations, scoping, evidence collection, and reporting that is ready for audits through customizable intake and approval workflows. This ensures that organizations can maintain a robust governance structure while swiftly adapting to the fast-evolving landscape of AI technologies.

Over half of organizations, specifically 55%, are integrating AI technologies to maintain a competitive edge in the market. Harmonic ensures that your organization remains at the forefront by providing security teams with powerful tools for effective and secure AI deployment. As employees increasingly utilize new technologies from various remote locations, Harmonic enhances your security capabilities, ensuring that no unauthorized AI activities go unnoticed. By implementing Harmonic's advanced protective measures, you can significantly reduce the risks of data breaches and uphold compliance, thereby safeguarding your confidential information. Conventional data security strategies are struggling to keep pace with the swift evolution of AI technologies, leaving many security teams relying on outdated, overly broad practices that hinder productivity. Harmonic offers a more intelligent solution, equipping security professionals with the necessary tools and insights to efficiently protect sensitive, unstructured data while maintaining operational effectiveness. By adopting Harmonic’s innovative approach, organizations can strike a balance between security and productivity, ensuring a robust defense against emerging threats.

BlueTally is an intuitive and cost-free asset management tool that prioritizes customization, making it ideal for schools needing to monitor laptops or various organizations overseeing their assets, ensuring protection against theft and damage. With BlueTally, there’s no need to sift through outdated spreadsheets or contact individuals who might recall the last known location of an asset. Users gain instant access to comprehensive asset histories, including warranty details, maintenance logs, and audit trails. The platform allows for a complete overview of an asset's checkout record, displaying its condition and associated photographs for both the checkout and check-in processes. You can invite an unlimited number of team members to collaborate and track changes through a detailed changelog that records who modified information and who checked assets in or out. Assets can be assigned to specific employees or locations, complete with a scoring system and images to capture their current state. Additionally, you have the option to activate email notifications for employees when they check out or return items, enhancing communication and record-keeping. This robust functionality ensures that asset management is streamlined and efficient for all users.

Willow serves as a comprehensive enterprise platform designed to manage AI agents, tools, MCP servers, skills, and plugins. It facilitates the connection of various agents like Claude, ChatGPT, Cursor, Codex, Gemini, n8n, and customized agents to internal frameworks and SaaS applications such as Jira, GitHub, Slack, and databases via an MCP gateway. Each agent is assigned a human-linked identity, specific permissions, and an audit trail for accountability. Security teams are tasked with establishing policies while employees have the ability to self-service approved connectors, skills, and plugins as needed. Among its features are shadow AI discovery, PII redaction, prompt-injection inspection, app- and action-level permissions, as well as integrations for SSO, SCIM, and RBAC with platforms like Okta, Entra ID, and JumpCloud. Additionally, Willow offers capabilities for SIEM export, token and cost tracking, and operates background agents to enhance functionality. The platform is accessible in various deployment models, including SaaS, dedicated cloud, or on-premises within a customer’s VPC. With a SOC 2 Type II attestation and compliance with GDPR, Willow has gained traction and is currently utilized in production by notable companies such as Wix, Innovid, and Riskified, ensuring it meets high industry standards. This versatility and commitment to security make Willow a robust choice for organizations looking to harness the power of AI responsibly.

OwlVigil serves as a cloud-centric AI gateway and governance solution tailored for developers, AI product teams, and organizations managing various model providers. It facilitates the routing of AI requests via a consolidated endpoint, enabling teams to link providers, create scoped gateway keys, oversee access, and implement routing and policy rules. Administrators have the capability to define budgets for workspaces, teams, members, or keys; limit access to specific models and providers; and keep track of requests, tokens, usage, latency, and expenditures. With features like role-based permissions, audit logs, alerts, and request analytics, teams can effectively assess AI operations across different workspaces and departments. The platform supports OpenAI-compatible requests, which permits teams to integrate existing applications through a common interface seamlessly. OwlVigil is available as a hosted service that includes an individual free plan, alongside paid plans for teams and businesses, as well as customized options for enterprises seeking tailored solutions. This flexibility ensures that users can select the plan that best fits their specific needs and scales appropriately with their operations.

Fiddler is a pioneer in enterprise Model Performance Management. Data Science, MLOps, and LOB teams use Fiddler to monitor, explain, analyze, and improve their models and build trust into AI. The unified environment provides a common language, centralized controls, and actionable insights to operationalize ML/AI with trust. It addresses the unique challenges of building in-house stable and secure MLOps systems at scale. Unlike observability solutions, Fiddler seamlessly integrates deep XAI and analytics to help you grow into advanced capabilities over time and build a framework for responsible AI practices. Fortune 500 organizations use Fiddler across training and production models to accelerate AI time-to-value and scale and increase revenue.

Warestack is an AI-driven platform designed to enhance release protection by integrating directly into your GitHub organization and implementing tailored, context-sensitive guardrails throughout every phase of the development process. Users can articulate protection guidelines in straightforward language, such as mandating approvals for any pull requests that are not hotfixes or prohibiting deployments on Fridays, and Warestack will automatically identify or prevent high-risk actions, while simultaneously tracking activities such as pull requests, issues, deployments, and workflow executions in real-time, all presented in a consolidated dashboard. The platform also works smoothly with popular tools like GitHub, Slack, and Linear, providing intelligent alerts and notifications, in addition to offering one-click audit logs and reports that cater to SOC-2 and compliance requirements. Furthermore, Warestack adapts effortlessly to various teams and repositories through the application of scoped rules, role-based enforcement, and a transparent open-source rule engine called Watchflow, which facilitates the creation of policies. This ensures that organizations can maintain a high standard of security and compliance in their development environments, all while enjoying the flexibility to customize their protection strategies as needed.

Singulr is a comprehensive platform designed for enterprise AI governance and security, providing a cohesive control framework that aids organizations in discovering, securing, and optimizing their AI implementations on a large scale. By tackling the widening gap between the rapid deployment of AI technologies and the constraints of governance, it offers unparalleled visibility into all AI systems utilized within the organization, which includes custom applications, integrated AI solutions, public tools, and shadow AI that often evade detection by security teams. It systematically identifies and catalogs AI resources throughout the organization, creating a real-time inventory of agents, models, and services while evaluating their associated risks through thorough contextual assessments of data management, model lineage, vulnerabilities, and compliance requirements. The platform's intelligence layer, Singulr Pulse, processes millions of AI systems, assigns risk ratings, and facilitates automated onboarding processes that significantly shorten approval timelines from weeks to mere hours, all while ensuring robust security measures are in place. This innovative approach not only enhances the efficiency of AI adoption but also empowers organizations to maintain a strong governance framework as they navigate the complexities of AI integration.

Teleskope is an innovative platform for data protection that aims to streamline the processes of data security, privacy, and compliance on a large scale within enterprises. It works by consistently discovering and cataloging data from a variety of sources, including cloud services, SaaS applications, structured datasets, and unstructured information, while accurately classifying more than 150 types of entities such as personally identifiable information (PII), protected health information (PHI), payment card industry data (PCI), and secrets with remarkable precision and efficiency. After identifying sensitive data, Teleskope facilitates automated remediation processes, which include redaction, masking, encryption, deletion, and access adjustments, all while seamlessly integrating into developer workflows through its API-first approach and offering deployment options as SaaS, managed services, or self-hosted solutions. Furthermore, the platform incorporates preventative measures, integrating within software development life cycle (SDLC) pipelines to prevent sensitive data from being introduced into production environments, ensure safe adoption of AI technologies without utilizing unverified sensitive information, manage data subject rights requests (DSARs), and align its findings with regulatory standards such as GDPR, CPRA, PCI-DSS, ISO, NIST, and CIS. This comprehensive approach to data protection not only enhances security but also fosters a culture of compliance and accountability within organizations.

JetStream Security serves as a governance platform focused on security, enabling enterprises to gain comprehensive visibility, control, and responsibility over their AI systems by transforming them from unclear, disjointed applications into managed and traceable infrastructures. Functioning as a unified control center, it integrates identity management, operational governance, monitoring, and financial management into one cohesive system, empowering organizations to “monitor every AI action, associate actions with accountable individuals, and ensure workflows stay within authorized limits” while applying policies during runtime. Furthermore, it incorporates agentic identity, linking human, agentic, and non-human identities to specific actions and access rights, thereby ensuring that each invocation, tool usage, or workflow can be tracked and governed according to least-privilege access standards. By maintaining ongoing runtime governance, JetStream continuously evaluates actual AI behavior against pre-approved frameworks, utilizing immutable logging and real-time monitoring to identify deviations, thereby reinforcing security and compliance. This robust approach not only enhances accountability but also supports organizations in navigating the complexities of AI governance effectively.

The AGAT Secure AI Platform is an AI solution that prioritizes security, offering robust generative AI features tailored for enterprise needs while maintaining strict data protection and governance standards. It can be deployed in various settings, including on-premises environments that are completely isolated, or through cloud services, facilitating scenarios where data exposure is minimized and enabling comprehensive control for enterprises. This platform includes two key components: an AI Suite and an AI Firewall. The AI Suite provides a private AI ecosystem featuring various modules, such as a knowledge assistant that retrieves answers from internal data, a data-analysis agent that performs natural language analytics on spreadsheets and databases, a smart search tool for meaning-based content discovery, an AI code assistant for code completion, generation, and error detection, as well as AI agents capable of planning and executing tasks through file modifications and internet searches. Meanwhile, the AI Firewall functions as a real-time proxy for public AI services, implementing risk-based policies and additional security measures, thus ensuring that organizations can leverage AI safely while adhering to their governance frameworks. Overall, AGAT Secure AI Platform stands out for its commitment to security without sacrificing the innovative capabilities of generative AI.

Elsai is an enterprise AI platform that prioritizes governance, converting intricate workflows into operations that are manageable, transparent, and ready for production. Designed specifically for regulated and enterprise settings, elsai integrates elements such as AI orchestration, observability, safety measures, workflow automation, and compliance governance within a single execution framework. This comprehensive approach empowers organizations to expand their AI capabilities while ensuring that visibility, security, auditability, and cost management are inherently included. As a result, businesses can confidently navigate the complexities of AI implementation while adhering to governance standards.

MintMCP serves as a robust Model Context Protocol (MCP) gateway and governance solution designed for enterprises, offering a centralized approach to security, observability, authentication, and compliance for AI tools and agents that interface with internal data, systems, and services. This platform empowers organizations to deploy, oversee, and manage their MCP infrastructure on a large scale, providing real-time insights into each MCP tool interaction while implementing role-based access control and enterprise-level authentication, all while ensuring comprehensive audit trails that adhere to regulatory standards. Functioning as a proxy gateway, MintMCP effectively aggregates connections from various AI assistants, including ChatGPT, Claude, and Cursor, streamlining monitoring processes, mitigating risky behaviors, managing credentials securely, and enforcing detailed policy measures without necessitating individual security implementations for each tool. By centralizing these functions, MintMCP not only enhances operational efficiency but also fortifies the security posture of organizations leveraging AI technologies.

Accosync serves as an integration and automation tool for Tally, enabling organizations to access, manage, and utilize their Tally data from virtually any location. It bridges Tally with mobile devices, web applications, and various business processes, ensuring that business owners, accountants, sales personnel, and other authorized individuals remain linked to their critical business information without needing to be physically at the Tally workstation. This platform enhances operational efficiency for businesses by granting secure access to Tally data, automating workflows, and minimizing reliance on manual data exchanges and conventional Tally practices. Notable Features Include: Access Tally Data Anywhere — Effortlessly view and interact with business data remotely, freeing users from the constraints of a single workstation. Tally on Mobile — Retrieve essential business information through smartphones and other mobile devices. Real-Time Data Sync — Maintain synchronization between connected applications and Tally data, ensuring consistency and accuracy across platforms. Additionally, Accosync simplifies the integration of various business functions, fostering a more agile and responsive business environment.

Prove AI is a comprehensive governance and management platform designed for artificial intelligence that consolidates AI models, datasets, and event logs within a secure, blockchain-supported data repository, now enhanced by its integration with IBM’s watsonx.governance on the Hedera network. It enables real-time tracking of AI lifecycle events along with version management and multi-party access permissions, while also ensuring automated compliance with regulations such as the EU AI Act, ISO 42001, and NIST standards, all complemented by extensive audit trails for effective troubleshooting, accountability, and validation by regulators. Organizations can achieve streamlined oversight of their AI operations through a centralized interface that governs configurations, access rights, updates, and event monitoring, all backed by fully auditable and serialized records. This platform equips enterprises to effectively manage AI-related risks, promotes transparency in their practices, and facilitates the confident expansion of responsible AI initiatives, ultimately fostering a more trustworthy AI ecosystem.

When engineering standards live in wikis, tickets, and CI templates, they are difficult to apply consistently across a growing software organization. Earthly Lunar gives platform engineering teams a central way to enforce those standards across different repositories, pipelines, and developer workflows. It gathers evidence from source code and CI/CD execution, normalizes it into a service-level view, and runs deterministic guardrails against that data. A guardrail might require test coverage, an approved dependency, an SBOM, or a deployment check. Teams can introduce policies in a visibility-only mode, surface findings on pull requests, and move to blocking checks when ready. Developers get actionable feedback on proposed changes while platform leaders see adoption across the organization. Lunar includes a library of 200+ guardrails and supports custom policies for company-specific requirements, including lessons from incidents. Continuous results provide a record of what was checked and when, reducing the work of gathering compliance evidence.

In today's highly competitive landscape, warehouses and container terminals face the ongoing challenge of enhancing traffic capacity while simultaneously lowering operational costs. Cone Center, a software firm, provides valuable support to your enterprise in boosting efficiency and minimizing self-expenses. Their innovative software solution, (C)One Terminal, is designed to accommodate the complexities of any infrastructure, whether your business is focused on importing or exporting goods. This application is highly customizable, ensuring it can fulfill the specific needs of any container terminal or warehouse. It enables effective tracking of tally control during cargo receptions and throughout various operations. The system meticulously records results, including date and time, personnel involved, any damages found, and any discrepancies with cargo documentation, such as serial numbers and label markings, without overwriting original data. Furthermore, the control results can be neatly organized into tally lists or presented as individual items, offering flexibility in data management. In this way, (C)One Terminal not only streamlines operations but also enhances overall transparency and accuracy.

Tumeryk Inc. focuses on cutting-edge security solutions for generative AI, providing tools such as the AI Trust Score that facilitates real-time monitoring, risk assessment, and regulatory compliance. Our innovative platform enables businesses to safeguard their AI systems, ensuring that deployments are not only reliable and trustworthy but also adhere to established policies. The AI Trust Score assesses the potential risks of utilizing generative AI technologies, which aids organizations in complying with important regulations like the EU AI Act, ISO 42001, and NIST RMF 600.1. This score evaluates the dependability of responses generated by AI, considering various risks such as bias, susceptibility to jailbreak exploits, irrelevance, harmful content, potential leaks of Personally Identifiable Information (PII), and instances of hallucination. Additionally, it can be seamlessly incorporated into existing business workflows, enabling companies to make informed decisions on whether to accept, flag, or reject AI-generated content, thereby helping to reduce the risks tied to such technologies. By implementing this score, organizations can foster a safer environment for AI deployment, ultimately enhancing public trust in automated systems.

Emburse is a collection of some of the most trusted and powerful financial automation solutions in the world. Emburse Tallie is part of our product portfolio. It promises to humanize work while providing expense management solutions for small businesses and their accountants. Tallie believes small businesses deserve expense software that is simple to use, takes very little time to manage, eliminates accounting errors, and can be implemented quickly. Tallie integrates seamlessly with your core accounting system, such as NetSuite, QuickBooks, Sage Intacct, Sage Intacct, Xero or QuickBooks. Tallie's partnership with Bill.com means that your financial software systems work seamlessly together to ensure that your payments are timely. We are part of the Emburse group and can offer our customers the same underlying data automation as the largest companies in the world, but at a fraction the cost.

DesignVerse serves as an AI-driven platform for software development, establishing the contextual framework necessary for producing enterprise software within large organizations. It empowers teams to create intricate enterprise applications that are reliable by integrating design systems, architectural patterns, engineering protocols, code repositories, business documentation, workflows, and product logic into a cohesive system-wide context. Rather than producing generic prototype code, DesignVerse converts organized design frameworks into software that is ready for production while adhering to the existing rules, APIs, components, and governance of the organization. Teams can seamlessly import their established systems, translate them through reusable engineering logic, and deliver deployable user interfaces and software that comply with approved standards. This platform is specifically designed to mitigate issues such as implementation drift, fragmented execution, redundant development efforts, and discrepancies between design and production phases. Furthermore, DesignVerse enhances collaboration by ensuring that all stakeholders are on the same page throughout the software development lifecycle.

Montro is a comprehensive platform for AI governance and SaaS intelligence, designed to assist organizations in identifying, categorizing, and overseeing AI systems and SaaS applications within their infrastructure. It offers insights into software utilization, including unauthorized AI and SaaS tools, enabling teams to gain a better understanding of technology adoption and evaluate related risks. Furthermore, Montro aids organizations in meeting regulatory frameworks like the EU AI Act, DORA, NIS2, and GDPR. By providing ongoing discovery, risk evaluation, and governance processes, the platform minimizes the need for manual compliance efforts, enhances oversight, and facilitates preparation for audits, ultimately streamlining the management of technology assets.

Barndoor serves as a robust management layer for data and access, ensuring that artificial intelligence systems interact securely with enterprise data and infrastructure. Acting as a unified control center, it oversees AI agents and applications, empowering organizations to set policies, automatically enforce access rules, and retain comprehensive oversight of AI tool operations within business frameworks. Moving beyond traditional identity-based permissions, Barndoor employs context-aware governance, which allows administrators to dictate the allowed actions of an AI agent by considering variables such as the user in charge of the agent, the system being accessed, the nature of the data, and the task at hand. This system assesses each AI request in real time to apply policies before actions are undertaken, thereby thwarting unsafe or unauthorized operations from affecting internal systems or altering sensitive data. Furthermore, by integrating such a nuanced approach to governance, organizations can enhance both security and compliance, ultimately fostering a more trustworthy AI ecosystem.

Zof AI serves as an autonomous platform focused on software reliability and verification, aimed at assisting engineering teams in testing applications, recognizing potential risks, and managing modifications prior to deployment. By leveraging AI agents, automated testing, and an analysis of system dependencies, the platform ensures continuous validation of software performance and readiness for release. Its System Graph effectively visualizes services, APIs, infrastructure, dependencies, and workflows, allowing teams to pinpoint which components are impacted by code alterations. Supporting a total of 19 verification categories, Zof encompasses unit testing, integration testing, regression testing, performance testing, security testing, and compliance validation among others. Furthermore, its governed remediation features enable teams to delve into failures, suggest solutions, and confirm changes—all while upholding human oversight and maintaining thorough audit trails. This versatile platform seamlessly integrates with existing CI/CD pipelines, development tools, and cloud infrastructures, and it accommodates private cloud, on-premises, and air-gapped deployment scenarios. In addition to its robust features, Zof AI empowers engineering teams to enhance their software development lifecycle efficiently and with greater confidence.

Solo Enterprise offers a comprehensive cloud-native application networking and connectivity solution that enables businesses to securely connect, scale, manage, and monitor APIs, microservices, and advanced AI workloads within distributed infrastructures, particularly in Kubernetes-based and multi-cluster environments. The platform's foundational features leverage open-source technologies such as Envoy and Istio, including Gloo Gateway, which facilitates omnidirectional API management by effectively handling external, internal, and third-party traffic while ensuring security, authentication, traffic routing, observability, and analytics. Additionally, Gloo Mesh provides a centralized control mechanism for multi-cluster service mesh, streamlining service-to-service connectivity and security across different clusters. Moreover, the Agentgateway and Gloo AI Gateway enable secure and governed traffic for LLM/AI agents, incorporating essential guardrails and integration capabilities to enhance functionality and security. This multifaceted approach ensures that enterprises can operate efficiently in a rapidly evolving technological landscape.

Enkrypt AI is an AI security and compliance platform built to protect generative AI applications, autonomous agents, models, data, and AI infrastructure. It provides security agents and controls for detecting vulnerabilities, preventing threats, continuously monitoring AI systems, and automating compliance processes. Enkrypt AI's red teaming capabilities dynamically generate use-case-specific attacks that adapt during testing to uncover security, safety, and brand risks that static evaluations may miss. The platform addresses threats including prompt injection, jailbreaking, data leakage, model inversion, adversarial attacks, policy violations, hallucinations, model drift, bias, toxic content, deceptive behavior, and unmonitored agent actions. Real-time guardrails inspect AI interactions and can stop threats as they occur while continuously adapting based on prompts and observed activity. Monitoring capabilities provide ongoing visibility into AI risk and compliance so organizations can identify issues, track protection effectiveness, and maintain evidence for audits. Enkrypt AI can translate internal organizational policies and external regulatory requirements into automated guardrails to reduce manual compliance work. Its product portfolio includes Agent Red Teaming, Agent Guardrails, an Agent Policy Engine, AI Data Risk Audit, MCP Scanner, and MCP Gateway, with solutions for customer-facing agents, frontier models, third-party AI risk, AI compliance, MCP security, and secure AI development. The company also maintains an LLM Safety Leaderboard that continuously red teams and benchmarks more than 200 AI models to help organizations evaluate model security and safety.

Confidently advance the future of safe and ethical AI applications within your organization. Utilize cutting-edge technologies and established best practices to effectively scale AI while managing risks, enhancing accuracy, safeguarding privacy, ensuring transparency, and streamlining compliance efforts. Equip cross-functional teams with the necessary resources to create the next wave of AI applications in a secure manner, leveraging integrated tools and templates designed to incorporate responsible AI into open source, machine learning operations, and generative AI processes. Proactively identify and address potential misuse through robust responsible AI measures, top-tier Azure security, and specialized AI tools. Monitor both text and images to swiftly recognize and filter out offensive or inappropriate content. Accelerate the deployment of machine learning models and foster collaboration through prompt flow, ultimately achieving a faster return on investment. Build innovative generative AI applications and tailor-made copilots all within a single, cohesive platform, ensuring efficiency and effectiveness in your AI initiatives. Through these strategies, you can create a safer AI landscape that not only meets regulatory requirements but also builds trust with users and stakeholders alike.

Dymium delivers governed access to enterprise data in real time, giving AI, applications, and analytics just enough information to function—no more and no less. Its Ghost Layer architecture applies policies dynamically, evaluating each request at the moment it occurs rather than relying on static roles or delayed batch checks. This prevents over-permissioned access, blocks sensitive fields during AI inference, and ensures every query is compliant before data is returned. Teams gain live access to more datasets without waiting for pipelines, approvals, or shadow environments. Dymium eliminates the risks associated with data duplication by enforcing controls directly where data lives, regardless of structure or system. Security, privacy, and compliance teams benefit from full visibility and detailed audit trails for every interaction. AI and product teams can ship smarter, safer features with governance automatically built in. With support for row-, field-, and role-level access, Dymium modernizes governance for organizations operating at AI speed.

WrangleAI is a robust platform designed for enterprises, providing essential oversight, control, and governance regarding their AI deployments and expenditures. Serving as a "control plane" for generative AI tools such as GPT-4, Claude, and Gemini, it allows organizations to track usage in real-time, gain insights into costs, monitor infrastructure, and implement spending limits to prevent excessive budgets. Additionally, WrangleAI enhances AI observability by enabling teams to discern which models are utilized, by whom, and for which objectives, while also offering intelligent workload routing to more economical models without compromising quality. The platform further incorporates governance mechanisms, including role-based access control and compliance assistance with standards like SOC 2 and ISO 27001, facilitating collaboration among finance, engineering, and leadership teams to enforce policies and receive actionable insights for optimizing AI investments. This comprehensive approach not only streamlines AI management but also empowers organizations to make informed decisions about their AI strategies.

Constellation is a real-time governance infrastructure platform that helps organizations manage decision-making across teams, systems, and AI tools. It works by encoding institutional rules and cross-functional constraints into a system that evaluates every action before it is executed. This ensures that actions comply with policies related to finance, privacy, communications, and other critical areas. The platform replaces slow, manual approval processes with automated checks that maintain both speed and compliance. Constellation also generates detailed records of every decision, creating a transparent and auditable trail of actions. It is model-agnostic, meaning it can work with AI systems like Claude, OpenAI, Gemini, and others. The platform enables organizations to reduce coordination costs while improving accountability and operational efficiency. By integrating governance into the execution layer, Constellation ensures that teams and AI systems operate within defined boundaries. This allows organizations to scale decision-making confidently without increasing risk.

Akto is an open source, instant API security platform that takes only 60 secs to get started. Akto is used by security teams to maintain a continuous inventory of APIs, test APIs for vulnerabilities and find runtime issues. Akto offers tests for all OWASP top 10 and HackerOne Top 10 categories including BOLA, authentication, SSRF, XSS, security configurations, etc. Akto's powerful testing engine runs variety of business logic tests by reading traffic data to understand API traffic pattern leading to reduced false positives. Akto can integrate with multiple traffic sources - Burpsuite, AWS, postman, GCP, gateways, etc.