Alternatives to Liminal

AccuroAI is an advanced platform focused on enterprise-level AI security, data protection, and governance, created to provide organizations with comprehensive oversight and management of AI tool usage within their environments. This platform consistently identifies and catalogs both approved and unauthorized AI applications, covering various areas including browsers, SaaS solutions, networks, and autonomous agents, while meticulously tracing every interaction back to the specific user, application, and intent. By functioning in real time between users and AI models, it scrutinizes both prompts and responses to identify and mitigate risks such as the exposure of sensitive information, prompt injection threats, and the generation of harmful outputs. Furthermore, it implements dynamic data loss prevention techniques that detect and redact sensitive material, including personally identifiable information, financial details, source code, and health records, ensuring that these do not reach the model while maintaining seamless workflow processes. AccuroAI also consolidates regulatory oversight with a comprehensive policy engine that ensures governance is consistently applied across both human interactions and agent activities. Through these features, organizations can enhance their security posture while effectively managing the complexities of AI deployment.

Ariath connects a firm’s CRM, custodian, planning tools, and other existing systems into one intelligent thread, so AI can act with full client context while the firm stays in control of how its data is accessed, governed, and used. Ariath helps wealth management firms put AI to work across the organization, multiply advisor capacity, and automate more of the workday without losing control or adding unnecessary risk.

Lunar.dev serves as a comprehensive AI gateway and API consumption management platform designed to empower engineering teams with a singular, integrated control interface for overseeing, regulating, safeguarding, and enhancing all outbound API and AI agent interactions. This includes tracking communications with large language models, utilizing Model Context Protocol tools, and interfacing with external services across various distributed applications and workflows. It offers instantaneous insights into usage patterns, latency issues, errors, and associated costs, enabling teams to monitor every interaction involving models, APIs, and agents in real time. Furthermore, it allows for the enforcement of policies such as role-based access control, rate limiting, quotas, and cost management measures to ensure security and compliance while avoiding excessive usage or surprise expenses. By centralizing the management of outbound API traffic through features like identity-aware routing, traffic inspection, data redaction, and governance, Lunar.dev enhances operational efficiency. Its MCPX gateway further streamlines the management of multiple Model Context Protocol servers by integrating them into a single secure endpoint, providing robust observability and permission oversight for AI tools. Thus, the platform not only simplifies the complexity of API management but also significantly boosts the ability of teams to harness AI technologies effectively.

Proofpoint AI Security is an integrated solution aimed at assisting organizations in managing, monitoring, and safeguarding the deployment of AI technologies, including large language models and autonomous agents. This platform offers insight into both approved and unapproved AI activities, allowing security teams to identify unauthorized AI tools, track prompts and responses, and analyze AI interactions with sensitive information in real-time. By utilizing intent-based detection and behavioral analysis, it effectively spots anomalies, attempts at prompt injections, and potentially dangerous interactions, while simultaneously enforcing policies during operation to avert data breaches and misuse. Furthermore, it reconstructs comprehensive AI transactions from the initial user query to the actions and results produced by the agents, ensuring organizations maintain complete traceability and are prepared for audits. With its capabilities extending to endpoints, web browsers, and AI agent connections, it facilitates detailed access governance, guaranteeing that AI systems are restricted to utilizing and sharing only the necessary information. This comprehensive control enhances the overall security posture of the enterprise as it navigates the complexities of AI system integration.

Armet AI offers a robust GenAI platform designed for security through Confidential Computing, encapsulating every phase from data ingestion and vectorization to LLM inference and response management within hardware-enforced secure enclaves. Utilizing technologies like Intel SGX, TDX, TiberTrust Services, and NVIDIA GPUs, it ensures that data remains encrypted whether at rest, in transit, or during processing; this is complemented by AI Guardrails that automatically cleanse sensitive inputs, enforce security protocols, identify inaccuracies, and adhere to organizational standards. Additionally, it provides comprehensive Data & AI Governance through consistent role-based access controls, collaborative project frameworks, and centralized management of access rights. The platform’s End-to-End Data Security guarantees zero-trust encryption across all layers, including storage, transit, and processing. Furthermore, Holistic Compliance ensures alignment with regulations such as GDPR, the EU AI Act, and SOC 2, safeguarding sensitive information like PII, PCI, and PHI, ultimately reinforcing the integrity and confidentiality of data handling processes. By addressing these vital aspects, Armet AI empowers organizations to leverage AI capabilities while maintaining stringent security and compliance measures.

DueDel is a next-generation AI risk intelligence platform designed to streamline due diligence by automating research and surfacing early warning signals across financial, legal, and reputational domains. Powered by advanced NLP and sentiment analysis, the system identifies subtle risk patterns that traditional manual research often misses. Users can run comprehensive scans by entering their target entity and keywords, after which DueDel generates consolidated reports featuring red flags, stakeholder mapping, litigation traces, and tone analytics. Executive summaries turn complex findings into actionable insights, allowing leadership teams to make confident decisions more quickly. DueDel reduces manual research time by up to 80%, enabling analysts to focus on strategy rather than data gathering. It integrates easily with existing workflows, making it suitable for investment firms, compliance departments, and risk management teams. The platform is backed by founders with deep expertise in AI safety, LLM research, and financial risk governance. Award recognition and partnerships with major financial institutions highlight its credibility in transforming modern risk intelligence.

Sawmills stands out as the pioneering smart telemetry management platform that empowers businesses to manage their logs, metrics, and traces efficiently before incurring expenses from traditional observability tools. Its innovative use of AI for noise detection sets it apart from other solutions in the market, allowing Sawmills to effectively minimize waste, enhance data integrity, and enforce governance measures. Unlike conventional filtering methods and manually crafted rules, which often fall short in scalability, Sawmills leverages AI to analyze telemetry data in real-time, identifying noise patterns, duplicate events, low-value attributes, excessive cardinality, PII/policy breaches, and faulty schemas. For every issue detected, Sawmills suggests a corresponding action—options include filtering, redacting, aggregating, downsampling, normalizing, enriching, and it features the ability to auto-remediate with necessary approvals, service level agreements, and rollbacks. This proactive approach not only shifts oversight upstream but also significantly decreases waste, enhances the quality of the data being collected, and automates governance, ultimately leading to more efficient data management practices across enterprises.

Maetra serves as an AI governance control plane tailored for teams managing tool-utilizing AI agents. It identifies agents and their associated repositories, assesses risks based on established frameworks, and reviews potential actions against versioned governance policies prior to execution. Additionally, it facilitates human approvals, monitors prompts and tool interactions for runtime vulnerabilities, ensures ongoing tasks remain aligned with authorized objectives, and maintains unalterable records of decisions for auditing purposes. The system features several modules, including Govern, Secure, Task Guard, Interaction Guard, Discover, Comply, Audit, and Decision Intelligence, which can function independently or as part of a cohesive control plane, enhancing overall operational efficiency and compliance. Ultimately, this integrated approach ensures robust management and oversight of AI agent activities within organizational frameworks.

Fasoo AI-R Privacy leverages AI and NLP to protect sensitive data by detecting and masking personal information in unstructured formats like text and images. Its deep learning technology is designed to understand contextual nuances, ensuring accurate data privacy protection. The platform is ideal for industries like healthcare, finance, and public services, where sensitive data handling is critical. By automating the detection and masking of PII, Fasoo AI-R Privacy reduces the risk of data breaches and ensures compliance with privacy regulations.

Oximy serves as a comprehensive platform that grants organizations thorough oversight, governance, and security concerning the deployment of artificial intelligence within their workforce, functioning as a centralized repository for all enterprise AI activities. By automatically identifying and categorizing each AI tool utilized through the observation of network-level interactions, it eliminates the necessity for manual tracking and separate integrations. Furthermore, it perpetually assesses the interactions between employees, applications, and agents with AI systems, scrutinizing prompts, responses, and data flows in real time to uncover potential risks such as exposure of sensitive data, unsafe outputs, or unauthorized access. The platform empowers organizations to dynamically implement policies, thwart risky actions, and receive notifications upon policy violations, while also reconstructing activities to ensure complete traceability and auditability. Additionally, Oximy integrates disparate AI usage into a cohesive overview, aiding teams in comprehending patterns of adoption and facilitating better decision-making in AI governance. This holistic approach not only enhances organizational efficiency but also fosters a culture of responsible AI usage across the workforce.

F5 AI Guardrails is an enterprise AI security platform that provides runtime protection for deployed AI models, agents, and applications across diverse environments. The solution is designed to address emerging AI risks by monitoring interactions, enforcing policies, and preventing malicious attempts to manipulate AI behavior. Organizations can use the platform to defend against prompt injection attacks, jailbreak techniques, data leakage incidents, and other adversarial threats targeting AI systems. Distributed data protection capabilities inspect AI interactions in real time and help enforce data loss prevention policies across applications and models. The platform includes automated compliance features that support frameworks and regulations such as GDPR, HIPAA, and the European Union AI Act. Advanced observability and auditing tools provide detailed records of AI activity, enabling stronger governance and accountability. F5 AI Guardrails also supports dynamic model routing and low-latency security controls to maintain operational performance while enforcing protections. Model-agnostic functionality allows organizations to secure both proprietary and open-source AI models using a unified approach. By integrating security, compliance, observability, and runtime protection, F5 AI Guardrails helps organizations confidently scale their AI initiatives.

ELDNEX empowers you to serve as your own ELD provider, offering the ability to implement a single-tenant, self-hosted ELD that operates under your own branding and security protocols, rather than relying on shared cloud services. All compliance-related information, including HOS, DVIR, and IFTA, remains securely encrypted on your own servers, equipped with role-based access controls and comprehensive audit trails to facilitate inspections. The platform prioritizes cost-effectiveness by eliminating ongoing per-truck charges in favor of a one-time licensing fee, while also providing operational autonomy, allowing you to manage updates, integrations, and policy changes at your convenience. For drivers, the straightforward app features a roadside inspection mode, offline capabilities, and user-friendly HOS workflows; meanwhile, operations teams benefit from streamlined TMS/ERP integrations through APIs and bulk export functionalities. ELDNEX is built to comply with FMCSA regulations and aims to help fleets maintain clean records by keeping their data isolated and securely hosted. This solution is particularly advantageous for mid-sized to larger fleets, typically those with around 100 or more units, that prioritize data governance, customizable branding, and stable long-term financial planning. Ultimately, ELDNEX positions itself as a robust choice for fleets seeking to enhance their operational efficiency while safeguarding their data.

Dapple offers an Enterprise OS Cloud specifically designed for regulated enterprises and AI-driven organizations requiring robust AI infrastructure that maintains strict standards for isolation, data residency, governance, and performance. This innovative solution operates in a space between public cloud services and private data centers, merging dedicated, single-tenant GPU infrastructure with a unified control plane that oversees orchestration, compliance, connectivity, observability, and operational tasks. With features such as topology-aware placement, multi-GPU scheduling, fault-domain isolation, and reserved clusters, Dapple ensures consistent performance devoid of interference from other users. Additionally, private connectivity seamlessly integrates existing cloud environments with dedicated computing resources, while essential functions like identity management, container orchestration, threat protection, and governance policies remain effective throughout the deployment process. At an architectural level, compliance is meticulously enforced prior to workload execution, addressing in-country data residency requirements, audit obligations, and various regulatory frameworks, thereby fostering a secure environment for sensitive operations. Furthermore, Dapple empowers enterprises to innovate freely, all while adhering to strict compliance standards and safeguarding critical data assets.

Alvor is an advanced platform that leverages AI to streamline Security Architecture along with Governance, Risk, and Compliance (GRC), offering a cohesive management solution. It merges asset tracking, risk assessment, policy governance, and the collection of audit evidence into one seamless system. Say goodbye to scattered spreadsheets and disparate tools by adopting a comprehensive platform crafted specifically for security teams. Developed by professionals in the security field, it meets various compliance standards, including ISO 27001, SOC 2, and HIPAA, ensuring that organizations can effectively manage their security needs. This all-in-one solution not only enhances efficiency but also promotes a more collaborative approach to security management.

Resemble AI is a complete generative AI security platform built to help organizations generate, verify, and detect synthetic media across audio, image, and video content. The platform combines deepfake detection, voice AI generation, watermarking, and media verification into one unified security solution. Resemble AI provides multimodal detection tools that analyze uploaded files and deliver detailed explanations about potential deepfake indicators and authenticity concerns. The platform supports voice synthesis and voice cloning technology while applying secure watermarking during the content creation process to improve traceability and provenance. Organizations can use Resemble AI to protect media assets with invisible and durable watermarks that remain attached to files even after distribution. Its detection models are trained to identify deepfakes created by more than 160 generative AI models across formats such as WAV, MP3, FLAC, WEBM, M4A, and OGG. Businesses can deploy the platform either on-premises or in the cloud depending on security, compliance, and operational requirements. Resemble AI supports use cases including executive impersonation detection, identity verification, dispute validation, voice agent security, media watermarking, and fraud prevention. The platform also includes products such as Chatterbox, DramaBox, Resemble Detect, and Resemble Watermarker for AI voice generation and media protection workflows. Designed for enterprises and developers, Resemble AI helps organizations secure digital content and reduce the risks associated with deepfake attacks and synthetic media fraud.

FireTail serves as a comprehensive AI security and governance solution that empowers organizations with thorough oversight, management, and safeguarding of AI applications within their ecosystems. The platform actively identifies AI utilization across various domains, including codebases, cloud services, APIs, software-as-a-service tools, and web browsers, creating a live inventory of both authorized and unregulated AI systems to ensure adherence to governance protocols. It meticulously records and evaluates every interaction with AI, encompassing prompts, responses, metadata, and user identities, thereby offering profound insights into the access patterns of AI models and the pathways through which data navigates. With FireTail, organizations can implement adaptable, context-sensitive policies via a unified governance framework, leveraging established guidelines like OWASP or tailored regulations to uphold compliance while fostering innovation. Furthermore, it consistently tracks activities to identify potential threats such as prompt injection, data breaches, improper model usage, and unusual behaviors, ensuring a proactive approach to security. This ongoing vigilance not only enhances organizational resilience but also promotes a culture of responsible AI usage.

Saptiva serves as a comprehensive AI infrastructure platform designed for organizations to create, deploy, administer, and scale generative AI workloads while maintaining full authority over their operational environments and data governance policies. Tailored specifically for industries with stringent regulatory requirements, it allows for complete ownership of the technology stack, spanning from computational resources to model orchestration and final deployment, all without the risk of vendor lock-in or data exit issues. This flexibility facilitates secure and modular AI operations, whether in cloud, hybrid, on-premises, edge, or completely air-gapped environments. By leveraging its frIdA control layer, Saptiva ensures seamless orchestration, enhanced observability, robust policy enforcement, and automatically scalable computing resources, accommodating the use of open-source, proprietary, or tailored models that can be integrated through APIs, SDKs, and CLIs. The platform places a strong emphasis on enterprise-level security through features like encryption, stringent access controls, workload isolation, and comprehensive logging capabilities. Additionally, it provides essential modular components such as Optical Character Recognition (OCR), document parsing tools, and entity extraction functionalities to streamline production workflows, ultimately enhancing operational efficiency and security for businesses.

Discover the ultimate solution for identifying, tracking, and safeguarding sensitive information on a large scale. This comprehensive data security platform is designed to swiftly mitigate risks, identify unusual activities, and ensure compliance without hindering your operations. Combining a robust platform, a dedicated team, and a strategic plan, it equips you with a competitive edge. Through the integration of classification, access governance, and behavioral analytics, it effectively secures your data, neutralizes threats, and simplifies compliance processes. Our tried-and-true methodology draws from countless successful implementations to help you monitor, protect, and manage your data efficiently. A team of expert security professionals continuously develops sophisticated threat models, revises policies, and supports incident management, enabling you to concentrate on your key objectives while they handle the complexities of data security. This collaborative approach not only enhances your security posture but also fosters a culture of proactive risk management.

Although not every model possesses the same quality, it is crucial for all models to have governance in place to promote responsible and ethical decision-making within an organization. The IBM® watsonx.governance™ toolkit for AI governance empowers you to oversee, manage, and track your organization's AI initiatives effectively. By utilizing software automation, it enhances your capacity to address risks, fulfill regulatory obligations, and tackle ethical issues related to both generative AI and machine learning (ML) models. This toolkit provides access to automated and scalable governance, risk, and compliance instruments that encompass aspects such as operational risk, policy management, compliance, financial oversight, IT governance, and both internal and external audits. You can proactively identify and mitigate model risks while converting AI regulations into actionable policies that can be enforced automatically, ensuring that your organization remains compliant and ethically sound in its AI endeavors. Furthermore, this comprehensive approach not only safeguards your operations but also fosters trust among stakeholders in the integrity of your AI systems.

Unlock the advantages of generative AI for your business while minimizing associated risks. Ensure safe organizational use of AI through enhanced visibility and effective remediation, all while utilizing your current security framework. Maintain awareness of your AI landscape by obtaining a full inventory of all generative AI applications within your organization. Effectively manage AI-related risks by identifying which applications have the capacity to store and learn from your data, as well as understanding the connections between various data types and language models. With Aim, you can track AI adoption trends over time and gain crucial insights that are vital for business operations. Aim equips organizations to harness public generative AI technology securely, revealing hidden shadow AI tools and their potential risks while implementing real-time data protection strategies. By securing your internal language model deployments, Aim enhances the productivity of AI copilots, addressing misconfigurations, identifying threats, and strengthening trust boundaries for a safer AI environment. This approach fosters a culture of innovation while ensuring that your organization remains protected in an evolving digital landscape.

Ensure that AI implementation complies with corporate policies through our user-friendly AI governance control plane. By simplifying the process, you can enhance visibility and securely foster AI adoption with SurePath AI. The platform seamlessly integrates with your existing security infrastructure, private models, and enterprise data sources. It supports SSO, SCIM, and SIEM as core features. Monitor AI utilization at the network level while managing access and scrutinizing requests to prevent sensitive data leaks. Additionally, it allows for the redaction of sensitive information within requests directed at public models. The ability to modify requests in real-time promotes efficiency while minimizing risks. You can also redirect traffic to your private AI models, utilizing SurePath AI's access controls to create a custom-branded enterprise AI portal. With policy-driven controls, user requests are enriched with only the data they are authorized to access, resulting in responses that are contextually relevant to your business needs. Furthermore, user prompts are automatically optimized to ensure outputs align with your organization's strategic objectives while maintaining compliance.

Utilize sophisticated coding and language models across a diverse range of applications. Harness the power of expansive generative AI models that possess an intricate grasp of both language and code, paving the way for enhanced reasoning and comprehension skills essential for developing innovative applications. These advanced models can be applied to multiple scenarios, including writing support, automatic code creation, and data reasoning. Moreover, ensure responsible AI practices by implementing measures to detect and mitigate potential misuse, all while benefiting from enterprise-level security features offered by Azure. With access to generative models pretrained on vast datasets comprising trillions of words, you can explore new possibilities in language processing, code analysis, reasoning, inferencing, and comprehension. Further personalize these generative models by using labeled datasets tailored to your unique needs through an easy-to-use REST API. Additionally, you can optimize your model's performance by fine-tuning hyperparameters for improved output accuracy. The few-shot learning functionality allows you to provide sample inputs to the API, resulting in more pertinent and context-aware outcomes. This flexibility enhances your ability to meet specific application demands effectively.

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.

Your IT department can implement advanced data masking techniques to restrict access to sensitive information, utilizing adaptable masking rules that correspond to the authentication levels of users. By incorporating mechanisms for blocking, auditing, and notifying users, IT staff, and external teams who interact with confidential data, the organization can maintain adherence to its security protocols as well as comply with relevant industry and legal privacy standards. Additionally, you can tailor data-masking strategies to meet varying regulatory or business needs, fostering a secure environment for personal and sensitive information. This approach not only safeguards data but also facilitates offshoring, outsourcing, and cloud-based projects. Furthermore, large datasets can be secured by applying dynamic masking to sensitive information within Hadoop environments, enhancing overall data protection. Such measures bolster the integrity of the organization's data security framework.

Hapax is a dedicated AI platform tailored specifically for banks and credit unions, revolutionizing the way financial organizations access information, carry out workflows, and function within stringent regulatory frameworks. In contrast to generic AI solutions that merely overlay existing systems, Hapax is engineered from the outset as a single-tenant architecture that seamlessly integrates with an institution's internal data, documents, and processes, resulting in a bespoke “Intelligence Core” for each entity. By capitalizing on over a decade's worth of proprietary financial information, which encompasses thousands of documents, discussions, and regulatory resources, it provides precise, context-sensitive insights and responses that meet industry demands. Additionally, it merges generative AI with multi-agent workflows capable of automating intricate, institution-specific tasks such as compliance checks, fraud detection, policy formulation, and decision-making support, all while ensuring rigorous governance and accountability. With its unique architecture and extensive data capabilities, Hapax stands out as an innovative solution in the financial sector.

Jozu functions as an AI-driven platform focused on securing supply chains by validating artifacts prior to their execution, managing agent activities in real-time, and maintaining a record of all actions taken afterward. The Jozu Hub acts as a self-hosted repository for models, agents, MCP servers, and skills, ensuring that each artifact is consolidated with cryptographic signatures, attestations, thorough scanning, policy regulations, and audit trails. This platform's security analysis, tailored specifically for AI, addresses various threats including concealed executable code within model packages, compromised weights, data poisoning, prompt injection, insecure tools, and violations of licensing. Users can create policies once, which are then distributed as signed OCI artifacts, and these policies are enforced during the processes of pulling, promoting, admitting, or executing artifacts. Additionally, Jozu Agent Guard operates in conjunction with workloads across servers, desktops, edge devices, and isolated systems, implementing local filtering for prompts and input-output, access controls for tools, requirement for approvals, and enforcement of policies in real-time. Through this comprehensive approach, Jozu not only enhances security but also ensures a robust framework for managing and safeguarding AI-related artifacts throughout their lifecycle.

White Circle serves as a comprehensive AI control platform that seamlessly integrates visibility, safety, and performance enhancement for AI systems by merging testing, safeguarding, monitoring, and refinement into one cohesive layer. Functioning as a centralized management system, it operates between AI models and their users, scrutinizing each input and output in real-time to guarantee adherence to established safety, security, and quality guidelines. Additionally, it boasts automated stress-testing features that replicate challenging prompts and potential real-world attack scenarios, enabling teams to identify vulnerabilities such as hallucinations, prompt injections, data breaches, and policy infringements prior to deployment. Furthermore, the platform encompasses a protective layer that applies custom regulations through low-latency guardrails, instantly blocking, rewriting, or flagging unsafe outputs while also curbing the misuse of tools, unauthorized actions, or the risk of exposing sensitive data. With its robust capabilities, White Circle not only enhances the reliability of AI systems but also fosters trust among users, ensuring a more secure operational environment.

Fasoo Data Radar (FDR) is a powerful data discovery and classification solution that enables organizations to locate, analyze, and manage sensitive unstructured data across on-premise servers, cloud storage, and endpoints. By scanning files based on keywords, regex patterns, file formats, and predefined policies, FDR helps organizations maintain control over critical information. With real-time monitoring and centralized policy enforcement, it enhances data security by identifying risks, preventing unauthorized access, and ensuring compliance with regulations like GDPR, HIPAA, and CCPA. FDR seamlessly integrates with enterprise security frameworks, allowing organizations to enforce consistent data protection policies while streamlining operational workflows. By automating data classification and governance, it improves efficiency, strengthens data security, and enhances visibility for regulatory compliance and risk management.

RedactXpert is an innovative SaaS platform that utilizes artificial intelligence to assist organizations in the secure and efficient elimination of sensitive information and personally identifiable information (PII) from various document formats, such as PDFs, files, spreadsheets, images, emails with attachments, and even handwritten materials, leveraging Microsoft Azure Cognitive Services for superior detection and accuracy. The platform streamlines the process by automating the recognition of both common and custom data patterns, while also providing manual tools for users who desire greater precision, along with integrated document management features that include rotation and page handling. Additionally, it enhances search capabilities and workflow management, allowing users to consolidate multiple files into a single searchable output, thereby optimizing redaction processes. Users benefit from the ability to preview, review, and approve redactions, as well as implement irreversible masking to permanently eliminate sensitive content. Furthermore, the platform allows for the customization of rules that can extend beyond traditional PII categories, thereby bolstering compliance with various data protection laws and regulations. This comprehensive approach ensures that organizations can effectively manage their sensitive information while maintaining the highest standards of security and compliance.

Embark on an accelerated journey toward adopting GenAI technologies within your organization. With just a few clicks, you can set up GenAI assistants that utilize your company’s data. Implement GenAI assistants equipped with security measures, fostering trust, compliance, and effective cost management. Explore the ways your teams are harnessing AI-driven assistants to gain valuable insights from data. Identify new opportunities to enhance the value derived from these technologies. Empower your GenAI applications through leading Large Language Models (LLMs). Establish seamless connections with premier GenAI model providers like Google, Amazon, Mistral, and Azure. Utilize secure GenAI features on your marketing communications site to effectively respond to inquiries from the press, analysts, and customers. Swiftly create and deploy GenAI assistants on web platforms, ensuring they deliver quick, accurate, and policy-compliant responses based on your public content. Additionally, harness secure GenAI capabilities to provide prompt and accurate answers to legal policy inquiries posed by your staff, enhancing overall efficiency and clarity. By integrating these solutions, you can significantly improve the support provided to both employees and clients alike.

Streamline extensive Azure deployments by consolidating essential environment components, such as Azure Resource Manager templates, role-based access permissions, and policies, into one cohesive blueprint definition. This blueprint can be effortlessly applied to new subscriptions and environments, allowing for refined control and management through versioning. Create comprehensive cloud governance templates, access controls, and policies as a unified, compliant package to ensure that environments are prepped for configuration. With a single click, deploy blueprints across multiple subscriptions, facilitating efficient management from a centralized location while keeping track of blueprint versions for seamless updates. Accelerate the deployment of compliant applications into production using a self-service model, making it simple to establish compliant environments that align with production standards. Additionally, utilize either blank templates for tailored blueprints or pre-existing blueprints that adhere to common internal requirements and external standards, such as ISO 27001, to meet your organizational needs effectively. This flexibility enables organizations to adapt their cloud strategies with ease and confidence.

LLM Capsule allows businesses to effectively utilize AI and LLMs—such as ChatGPT, Claude, and Gemini—on sensitive corporate data while safeguarding the original information from exposure. In contrast to conventional masking or redaction methods that compromise context and diminish the utility of AI, LLM Capsule alters and encapsulates data to maintain its structure, relationships, and business significance for precise AI processing. This solution not only safeguards personally identifiable information (PII) but also protects vital business contexts—including contracts, project codes, clinical terminology, source code, and more—through customizable policies. The Capsule technology guarantees that only secure, context-rich data is transmitted to both internal and external AI models, with the original data being automatically reinstated upon retrieval. Organizations can meet the most rigorous compliance requirements, such as N2SF and ISO/IEC 27001, while also ensuring complete auditability and flexible deployment options, whether in the cloud or on-premises. By using LLM Capsule, teams are empowered to drive innovation through AI while preserving the critical context necessary for effective decision-making.

DPM easyData serves as an advanced engine for data de-identification and spoofing, offering methods such as masking, tokenization, anonymization, pseudonymization, and encryption to safeguard sensitive information. Through its data spoofing techniques, the software effectively substitutes entire data sets or fragments with non-sensitive alternatives, generating fictitious data that serves as a robust protective measure. This solution is tailored for web and application server environments, enabling databases to anonymize and tokenize information while enforcing masking policies for users without proper authorization when accessing sensitive materials. DPM easyData stands out for its precise control, allowing administrators to specify which users are permitted to access certain protection measures and outlining the actions they can perform under these policies. Furthermore, its highly customizable framework accommodates a wide variety of data types, offering unparalleled flexibility in defining input and token formats to meet diverse security needs. This adaptability ensures that organizations can maintain stringent data protection standards while managing sensitive information effectively.

Uncompromising security: the most comprehensive and profound protection available for public cloud environments. Maintain compliance and security while utilizing both approved and unapproved cloud applications and services across SaaS, PaaS, and IaaS platforms. Experience unparalleled security for cloud applications, featuring extensive visibility, robust data protection, and formidable threat defense provided by the CASB. Enhance your understanding of shadow IT, enforce governance on cloud data, safeguard against potential threats, and streamline compliance efforts. Benefit from automated intelligence regarding cloud activities and machine learning to initiate policy actions, generate quick risk assessments, optimize IT resources, and ensure your organization exclusively utilizes cloud services that fulfill security and compliance standards. Additionally, monitor and evaluate thousands of mobile and server-side cloud applications effectively. This system offers comprehensive oversight, data governance, threat management, and policy enforcement for both sanctioned and unsanctioned cloud accounts, ensuring a complete security posture.

asqav is a cutting-edge platform focused on AI governance and security, aimed at ensuring that AI agents are always prepared for audits by offering real-time oversight, enforcement, and a reliable record of each action performed by the agents. It features a streamlined SDK that empowers developers to embed governance functionalities directly into their AI agents with minimal code, facilitating comprehensive monitoring throughout the entire lifecycle of AI activities. Additionally, the platform incorporates behavioral analysis to identify potential problems like drift, rate limits, and scope breaches, as well as sophisticated threat detection mechanisms that can recognize issues such as prompt injections, leaks of sensitive information, harmful outputs, and other dangers. Policy enforcement is achieved through customizable “policy gates,” which implement specific rules for each agent, conduct preflight assessments, and provide dynamic approvals before any actions are taken, thereby guaranteeing that agents function within established parameters. Furthermore, asqav enhances security with automated incident response features, allowing for the suspension, isolation, or escalation of agents deemed risky, all of which contribute to a robust framework for maintaining AI accountability and safety. In this way, asqav not only safeguards AI operations but also promotes trust in their deployment across various sectors.

OneTrust Data Use Governance is an AI-ready data governance platform that enables organizations to manage, control, and govern how data is accessed and used across enterprise systems. The solution shifts organizations from manual, data-centric governance processes to policy-centric governance by connecting business policies directly with native controls in data and AI platforms. Instead of relying on lengthy approval workflows, OneTrust automates policy enforcement in real time to support faster, more consistent data access decisions. The platform uses AI-powered classification to analyze both structured and unstructured data while capturing business, regulatory, consent, and data context for machine-readable governance. Organizations can create purpose-based governance policies that are applied consistently from the beginning of data projects through ongoing operations. Machine-readable labels, centralized policy management, and automated enforcement help reduce governance bottlenecks while improving compliance across large-scale environments. The platform also supports auditing of data controls to demonstrate accountability and strengthen governance programs. Integrations with leading technology platforms and service partners allow organizations to extend governance across existing data ecosystems. By automating policy enforcement and enabling responsible data usage, OneTrust Data Use Governance helps enterprises prepare data for AI, analytics, and regulatory compliance.

iDox.ai Guardrail serves as an immediate security measure for AI applications, designed to safeguard sensitive information from being exposed during generative AI tasks. This innovative solution functions at the endpoint, intercepting user prompts, uploaded files, and any AI interactions prior to data transmission from the device. Guardrail employs policy-driven mechanisms to identify and prevent the leakage of sensitive information, including personally identifiable information (PII), protected health information (PHI), payment card information (PCI), intellectual property, and other confidential business data. In contrast to conventional data loss prevention (DLP) systems, Guardrail is tailored specifically for AI applications. It continuously observes user engagement with AI platforms like ChatGPT, Microsoft Copilot, and Claude, applying protective measures in real-time to ensure security. Among its key features are: - Continuous monitoring of prompts and file submissions - Detection of sensitive data with AI awareness - Real-time anonymization and sanitization processes - Defense against risks associated with AI agents, such as unauthorized file access incidents (e.g., OpenClaw) - Implementation of website whitelisting and strict policy enforcement. Additionally, Guardrail enhances user confidence in utilizing AI technologies while ensuring compliance with data privacy regulations.

ZYNO Audit is a comprehensive audit and compliance solution built to simplify expense auditing and regulatory management for modern organizations. The platform automates transaction scanning and cross-checks expenses against internal policies to instantly flag non-compliant activities. Advanced fraud detection algorithms analyze patterns to prevent unauthorized spending and financial leakage. Compliance management tools include ready-to-use templates for standards such as GDPR and SOX, along with automated reporting and centralized documentation storage. The system enables intelligent categorization of audit expenses, multi-level approval workflows, and variance analysis to maintain budget accuracy. Integrated forecasting tools help predict future audit expenses based on historical trends. Robust encryption and role-based permissions ensure secure handling of sensitive data. Audit logs track every system interaction for transparency and accountability. ZYNO Audit integrates seamlessly with existing business systems to streamline data flow. Designed to enhance both efficiency and compliance, the platform delivers measurable ROI through faster audits and reduced financial risk.

Permify is an advanced authorization service tailored for developers looking to create and oversee detailed, scalable access control systems within their software applications. Drawing inspiration from Google's Zanzibar, it allows users to organize authorization models, store authorization data in chosen databases, and utilize its API for managing authorization queries across diverse applications and services. The service accommodates various access control models, such as Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC), which support the development of detailed permissions and policies. By centralizing authorization logic, Permify abstracts it from the core codebase, making it simpler to reason about, test, and debug. Additionally, it offers a range of flexible policy storage options and includes a role manager for managing RBAC role hierarchies effectively. The platform enhances efficiency in large, multi-tenant setups by implementing filtered policy management, ensuring that access controls are enforced seamlessly across different environments. With its robust features, Permify stands out as a comprehensive solution for modern access management challenges.

Velum Privacy is designed to protect personal data before it interacts with an AI assistant, subsequently restoring the actual values in the response, all while operating solely on your machine without the need for servers, accounts, or any telemetry. The system is inherently reversible; it employs one-way redaction to secure the data, although this would typically compromise the response, yet a local mapping ensures that the returned reply remains intelligible. This solution comprises three distinct interfaces integrated into a single engine: a browser extension compatible with Chrome, Brave, Edge, and Vivaldi that offers text masking without requiring an account; a macOS desktop application that manages documents, folders, and coding tasks through MCP, with a Windows version currently under development; and an application for Jira and Confluence Cloud that operates within your own Atlassian environment. Detection is achieved through a combination of pattern recognition, checksum validation specifically for IBANs and national IDs, and a local named entity recognition model that supports nine language variations, with published accuracy metrics highlighting a remarkable 99.8% must-mask F1 score at the highest level, including failure rates. The commitment to transparency is evident, as the extension specifies zero host permissions, while the desktop application meticulously lists every outbound connection and ensures masking occurs even when the network is offline, reinforcing the integrity of the system. Such comprehensive measures ensure that users can maintain control over their sensitive information while enjoying the benefits of AI technology.

Prompt Security allows businesses to leverage Generative AI while safeguarding against various risks that could affect their applications, workforce, and clientele. It meticulously evaluates every interaction involving Generative AI—ranging from AI applications utilized by staff to GenAI features integrated into customer-facing services—ensuring the protection of sensitive information, the prevention of harmful outputs, and defense against GenAI-related threats. Furthermore, Prompt Security equips enterprise leaders with comprehensive insights and governance capabilities regarding the AI tools in use throughout their organization, enhancing overall operational transparency and security. This proactive approach not only fosters innovation but also builds trust with customers by prioritizing their safety.

wAnywhere allows you to work from anywhere (WFA) with a simple browser-based approach. It is easy to deploy and get started in minutes. It integrates with most popular collaboration tools and storage systems. You can configure it to monitor your team's activities, productivity, and other parameters according to your company policies. wAnywhere is the only tool that you need to collaborate with remote team members. It allows you to work anywhere. All-in-one productivity tracking software and Ultimate Hybrid Workforce Management Toolkit. You can monitor your team's activities using highly configurable monitoring settings. In addition to insightful analytics on resource and time usage, you can also track their activities. Integrate with all the most popular work communication tools to enable your management with AI powered sign-in, video tracking, and detection. You can monitor everything with intuitive dashboards, resourceful analytics and team management.

Ask Sage is a robust generative AI platform designed for government, defense, and regulated entities that require the handling of sensitive information within mission-critical workflows. It offers a single multimodal workspace that integrates over 150 different models, including commercial, frontier, and open-source options, and facilitates the generation and analysis of text, code, images, videos, and audio, enabling flexibility without binding teams to a sole provider. Users can input their organizational data just once and leverage it across multiple models for various tasks such as grounded document Q&A, drafting, summarization, knowledge management, policy validation, data analysis, and outputs tailored to specific roles. The platform features Ask Sage Chat, which provides a conversational interface, while Workbook consolidates sources, memos, shared chat histories, and team collaboration into a unified document-oriented space. Furthermore, Agent Builder offers a visual, node-based canvas that allows users to create, preview, reuse, monitor, and orchestrate automated workflows without requiring coding skills, promoting accessibility for all team members. This comprehensive approach streamlines processes and enhances productivity across diverse organizational functions.

As facial recognition technology advances, the collection of public video footage poses significant privacy threats. Brighter AI's Precision Blur stands out as the leading solution for accurate face redaction globally. Their innovative Deep Natural Anonymization leverages generative AI to generate synthetic face overlays that ensure individuals remain unrecognizable, all while maintaining the quality necessary for machine learning applications. The Selective Redaction interface empowers users to choose which personal information in videos to anonymize selectively. In specific scenarios, like those encountered in media and law enforcement, it may not be necessary to blur every face. Following automated detection processes, users have the option to individually select or deselect objects. Furthermore, the Analytics Endpoint delivers essential metadata linked to the original elements, including bounding box coordinates, facial landmarks, and attributes of individuals. With JSON outputs, users can access pertinent information while ensuring that images or videos remain compliant and anonymized, preserving privacy in an increasingly digital world. This combination of features not only enhances privacy but also supports various professional applications effectively.

Abliteration.ai serves as an AI platform tailored for developers, granting access to large language models without constraints, all while incorporating a governance layer that empowers teams to dictate model behavior instead of depending on preset limitations from providers. The platform features an API compatible with OpenAI, promoting effortless integration into current tools, SDKs, and processes without necessitating significant infrastructure modifications. Central to Abliteration.ai’s philosophy is the idea of being “unrestricted, not ungoverned,” which allows developers to leverage models with fewer censorships while implementing their own regulatory measures through a Policy Gateway that manages outputs in real-time, enabling actions like allowing, blocking, redacting, or escalating based on tailored policies. These policies are designed as code, facilitating auditing, simulation, and deployment, complemented by capabilities such as shadow testing and rollback measures for added security. Furthermore, Abliteration.ai caters to sophisticated applications, including security assessments, red teaming, synthetic data generation, and research workflows tailored to specific needs, thereby expanding the potential for innovative solutions in various fields. With its comprehensive approach, Abliteration.ai not only enhances the flexibility of AI usage but also ensures that developers maintain control over the ethical implications of their models.