Alternatives to Attestly

A secure and unalterable data repository is established within trusted execution environments (TEEs), further reinforced by cryptographic evidence. Azure Confidential Ledger offers a decentralized and managed ledger system for data entries that utilises blockchain technology. Safeguard your information whether it is stored, transmitted, or actively in use through the implementation of hardware-backed secure enclaves found in Azure's confidential computing services. This ensures that your sensitive data remains unchanged over time. The blockchain’s decentralized framework employs consensus-driven replicas and cryptographically secured blocks to guarantee the perpetual integrity of the information recorded in the Confidential Ledger. A forthcoming enhancement will allow the inclusion of multiple participants to engage in decentralized ledger operations through the consortium model, an essential aspect of blockchain technology. You can have confidence that your data is immutable by conducting your own verification processes. Tamper evidence can be exhibited across server nodes, the recorded blocks on the ledger, and all transactions carried out by users, thereby enhancing trust in the system's integrity. Furthermore, this robust framework fosters a collaborative environment where stakeholders can work together while ensuring data security and accountability.

Rawctx serves as an AI evidence layer specifically designed for teams developing customer-facing AI assistants, copilots, and agents. It meticulously logs every response along with the officially approved meanings, source/context references, metadata from model runs, trace identifiers, correction histories, and exportable proof bundles. This feature enables teams to scrutinize the rationale behind each AI-generated answer, including the evidence and business definitions utilized, any modifications made post-review, and the current status of trust proof, whether it is anchored, pending, or local-only. Additionally, rawctx encompasses capabilities for maintaining answer audit logs, facilitating exports in JSON, CSV, or proof formats, binding source reference evidence, and implementing verification workflows that can be either public or private, catering to critical areas such as support, sales, finance, legal, and operations. Ultimately, rawctx empowers organizations to ensure accountability and transparency in their AI interactions.

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.

OrbitDB functions as a decentralized, serverless, peer-to-peer database that leverages IPFS for data storage and utilizes Libp2p Pubsub for seamless synchronization among peers. It incorporates Merkle-CRDTs to facilitate conflict-free writing and merging of database entries, making it ideal for decentralized applications, blockchain projects, and web apps designed to operate primarily offline. The platform provides a range of database types that cater to distinct requirements: 'events' serves as immutable append-only logs, 'documents' allows for JSON document storage indexed by specific keys, 'keyvalue' offers conventional key-value pair storage, and 'keyvalue-indexed' provides LevelDB-indexed key-value data. Each of these database types is constructed on OpLog, a structure that is immutable, cryptographically verifiable, and based on operation-driven CRDT principles. The JavaScript implementation is compatible with both browser and Node.js environments, while a version in Go is actively maintained by the Berty project, ensuring a wide range of support for developers. This flexibility and adaptability make OrbitDB a powerful choice for those looking to implement modern data solutions in distributed systems.

Introducing the world's pioneering, fully integrated SaaS platform designed for the recording, tracking, and tracing of physical items on an unchangeable blockchain ledger. Organizations of any scale and financial capacity can effortlessly implement GoTrace to monitor and trace assets around the globe, providing immediate auditability of transactions through a singular reliable source: a public blockchain ledger. With just a smartphone and a printer, users can rapidly establish a blockchain traceability system within minutes. This platform ensures real-time audibility and secure recording of transactions on a cryptographically protected, immutable public blockchain ledger. Users will receive timely insights and notifications regarding tracked assets, as well as geofenced locations throughout their supply chain. Generating and distributing traceability reports in real-time is straightforward, and GoTrace is designed for seamless integration with various logistics, transportation, data collection, and other technology solution providers, making it a versatile choice for any organization looking to enhance their asset tracking capabilities. By streamlining these processes, GoTrace empowers organizations to maintain transparency and accountability in their operations.

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.

OpenFang is an innovative open-source Agent Operating System developed in Rust, designed to deliver a cohesive runtime for the creation, deployment, and oversight of autonomous AI agents at a production level. It features a comprehensive architecture bundled into a single executable, which allows developers to deploy agents that run continuously, construct knowledge graphs, and send updates to a centralized dashboard without the need for ongoing user interaction. Central to OpenFang are its "Hands," which are pre-configured autonomous capability packages that function on predetermined schedules to carry out various tasks, including lead generation, research activities, browser automation, and social media management. The platform offers numerous pre-built agents along with native tools and channel adapters, facilitating seamless operation across various platforms such as Slack, WhatsApp, Discord, and Teams from a unified interface. Engineered with security at its core, OpenFang incorporates multiple layers of defense, including WASM sandboxing, cryptographic signing, taint tracking, and tamper-proof audit trails, ensuring robust protection for users. This comprehensive approach not only enhances the functionality of AI agents but also fosters trust and reliability in their operations.

KYDE serves as a behavioral firewall designed specifically for AI agents, ensuring they can be entrusted with significant responsibilities. By delineating prohibited actions, documenting completed tasks, and safeguarding your proprietary knowledge, KYDE enhances the reliability of AI agents. Positioned externally, KYDE operates in the request pathway between your agents and all LLM providers, systematically intercepting, scoping, and signing each action prior to execution. This external placement ensures it cannot be overridden by the agent itself, maintaining strict control. With no need for code alterations and only one environment variable required, KYDE is both provider-agnostic and ready for multi-cloud platforms, targeting a latency of under 100 milliseconds. It encompasses three essential functions within a single layer. The first is PROVE, which creates an audit trail that remains independent of any LLM provider; actions are signed using Ed25519, hash-linked, and recorded at the boundary, making them irretrievable by the agent. In this scenario, the perpetrator cannot fabricate their own account. The second function is RATE, which evaluates agent behavior across different providers on a unified scale known as the KYDE Trust Score™. While vendors assess their own performance, KYDE focuses on objectively grading agent behavior, creating a more transparent evaluation system. Finally, this comprehensive framework not only enhances accountability but also fosters an environment of trust in AI interactions.

Sequence operates as a ledger-as-a-service, allowing organizations to accurately monitor and transfer tokenized balances securely. By utilizing Sequence, businesses can effectively oversee their financial assets on private ledgers and will soon have the capability to transfer them effortlessly across public networks as well. Various companies, engaged in shaping the future of finance and commerce, are leveraging Sequence for numerous applications. This includes functionalities such as storing and transacting user balances, securely safeguarding customer funds, issuing and managing loans, and handling balances for both consumers and drivers. Instead of dedicating resources to building and maintaining ledger infrastructure, organizations can concentrate on developing and scaling their products. The platform allows for the seamless addition of new accounts, asset types, and products without needing to modify the underlying ledger code. Designed with enterprise needs in mind, Sequence is built to grow alongside your business. It also enables sharing parts of your ledger with partners, simplifying complexities and creating new opportunities for collaboration. Additionally, its immutable and append-only cryptographic data model ensures protection against tampering and corruption, guaranteeing data integrity at all times. With Sequence, businesses can embrace innovation while maintaining robust security and efficiency in their financial operations.

The AI Governance platform efficiently identifies and catalogs AI assets, streamlines compliance processes, mitigates AI-related risks, and provides ongoing assessments of model performance, ensuring the reliability, safety, and audit readiness of deployed AI systems. This advanced platform leverages AI technology to map over thirty international regulations, assess AI-specific risks, analyze model performance instantaneously, and create compliance documentation that meets audit standards, among other features. The Adeptiv AI Governance Dashboard serves as a comprehensive intelligence hub tailored for superior oversight of AI initiatives across enterprises. By aggregating all essential governance indicators into a unified, real-time dashboard, it offers insights into the total number of AI applications, compliance advancements, success and failure rates, submission rates of evidence, and trends in adoption across different business units. Additionally, the platform enhances risk management by providing in-depth perspectives on risk levels, distribution of severity, and trends in resolution, allowing teams to swiftly focus on areas that have the most significant impact on the organization’s AI strategy. Overall, this platform is crucial for organizations aiming to maintain a high standard of accountability and performance in their AI operations.

Amazon QLDB is a fully managed ledger database that offers a transparent, immutable, and cryptographically verifiable transaction log governed by a central trusted authority. This powerful tool allows users to monitor every change made to application data while preserving a complete and verifiable history of alterations over time. Typically, ledgers serve to document the economic and financial activities within an organization. Many businesses create applications with ledger-like features to ensure they have an accurate record of their data history; this includes tracking the flow of credits and debits in banking transactions, validating the data lineage for insurance claims, or following the movement of goods in a supply chain. By utilizing Amazon QLDB, organizations can avoid the intricate development challenges associated with creating their own ledger-like systems, streamlining their processes and enhancing data integrity. This innovative database solution ultimately empowers businesses to focus on their core activities while ensuring robust data management.

The implementation of blockchain technology, especially through the process of asset tokenization, has the potential to unlock significant value while offering unmatched transparency across various sectors such as global commerce, finance, and supply chains. By issuing blockchain-based tokens, we can create digital counterparts for both tangible and intangible assets existing in the real world. Furthermore, the integration of these tokens with digital wallets guarantees that any sale or transfer of ownership is easily verifiable, permanently recorded, and auditable in real-time through a cryptographically secure and distributed public ledger. Each transaction is meticulously documented on an unchangeable blockchain ledger, ensuring that processing and recording occur in real-time. This technology establishes the blockchain as the definitive source of truth for all involved parties. Transactions authenticated by blockchain are not only cryptographically secure but also irreversible, which leads to the creation of data that is both accurate and reliable. Additionally, blockchain-based wallets enhance security through multi-factor authentication and provide digitally secure methods for conducting transactions. In this way, the adoption of blockchain can fundamentally transform how we perceive and manage ownership and value in a digital economy.

You can anchor an infinite amount of data to the Bitcoin blockchain, ensuring both the verification of data integrity and its existence without needing to depend on a trusted intermediary. Chainpoint achieves this by linking a hash of your data to the blockchain and providing a timestamp proof. When a Chainpoint Node receives hashes, they are aggregated in a structure known as a Merkle tree, with the root of this tree published through a Bitcoin transaction. The resulting Chainpoint proof outlines specific operations that create a cryptographic connection between your data and the Bitcoin blockchain. Additionally, each Chainpoint proof includes the necessary information to confirm that a hash of the data is securely anchored to the blockchain, thereby demonstrating that the data was present at the time of anchoring. This innovative system allows for the verification of Chainpoint proofs independently, without relying on a trusted third party. By utilizing this technology, users gain confidence in the authenticity and permanence of their data.

Auditry stands out as a unique developer-centric compliance solution designed specifically to meet regulatory standards. Transform every artificial intelligence workflow into a reliable audit trail effortlessly. 👉 Integrate a single SDK to automatically record details of models, datasets, API interactions, and decision-making processes. 👉 Generate evidence packages that meet regulatory requirements with just one click. 👉 Achieve compliance seamlessly, requiring no additional effort from your developers and alleviating stress for your compliance team. This way, everyone can focus on their core tasks without the burden of compliance worries.

Axiospec, developed by CaliTech LLC, is a comprehensive cloud-based calibration management system designed for teams overseeing calibration initiatives, ensuring that their records are clean, traceable, and ready for audits. This powerful software allows users to monitor all gauges and instruments from a centralized location, enabling the logging of both as-found and as-left readings, with automatic assessments against established tolerances, followed by the issuance of PDF certificates. Additionally, a dual e-signature feature for makers and checkers enhances accountability for each record, while all entries are securely stored in a tamper-evident, hash-chained audit ledger. In the event of measurement drift, users can swiftly reverse-trace with a single click to review all previous measurements, facilitating quick impact assessments. Moreover, the platform keeps users informed with a Due Calendar that highlights upcoming, soon-to-be-due, and overdue tasks, as well as a dynamic Audit-Readiness Scorecard rated from 0 to 100. The software also provides in-depth Metrology Insights for each instrument, displaying reliability-based intervals, test uncertainty ratios, conformance metrics, and false-accept risks. For those requiring advanced metrology analyses, Axiospec includes features such as AIAG Gage R&R, uncertainty budgets, and a tool crib checkout system, supporting teams in maintaining high standards of calibration management.

Warden AI’s innovative platform introduces a layer of independent scrutiny for AI applications in human resources by demystifying opaque algorithms and incorporating real-time auditing directly within the AI workflow. It empowers legal, HR, compliance, and technical teams with transparent insights through HTTP and file-based APIs while enabling both periodic and continuous audits that assess bias across as many as ten protected categories. Additionally, it evaluates accuracy across different demographic groups and confirms that AI justifications are in alignment with the actual behavior of the systems. By operationalizing important legal and regulatory requirements—such as the U.S. Civil Rights Act, anti-discrimination legislation, NYC Local Law 144, Colorado SB205, and the EU AI Act—the platform effectively translates these stipulations into actionable technical safeguards. Users can easily connect to the system, allowing Warden to conduct background audits, after which they can generate user-friendly dashboards, audit-ready documentation, and Trust Marks for independent validation. This seamless integration not only enhances compliance but also fosters greater confidence in AI usage within HR practices.

Merkely empowers top-tier fintech companies to monitor their evolving DevOps environments while maintaining continuous compliance. It guarantees that your software development pipelines and environments are perpetually in a state of readiness for audits through ongoing compliance measures. Embrace the future of fintech by leveraging the expertise of our DevOps specialists for a seamless onboarding experience into continuous compliance. Experience comprehensive visibility with real-time reporting that spans operations and compliance, ensuring end-to-end observability. Enhance your ability to track modifications by implementing a secure chain of custody throughout your pipelines. Merkely’s artifact log employs cryptographic fingerprinting to provide a tamper-proof identity for each binary generated in your controlled build process. Moreover, it meticulously documents software delivery changes within your pipelines, crafting an audit trail that supports security and risk management for every artifact. With Merkely, you can effortlessly generate release approvals through version control, CI, or even via Slack notifications. Experience compliant deployments without unnecessary complexity while benefiting from streamlined processes that enhance overall efficiency.

CleanStart is a robust platform for secure container images and software supply chain security, delivering organizations with lightweight, fortified, and vulnerability-free base images that establish a reliable foundation for developing, deploying, and operating contemporary software with enhanced safety and regulatory compliance. By moving away from general-purpose distributions that are often riddled with known vulnerabilities, CleanStart provides near-zero CVE images that significantly reduce the attack surface by eliminating unnecessary components and integrating security measures from the outset, which accelerates release cycles while easing the burden of continual patching and remediation efforts. Each CleanStart image undergoes continuous validation through signed attestations and Software Bill of Materials (SBOMs) that detail the origins of components, the provenance, and specifics of the build environment, thus supplying teams with cryptographically verifiable proof of their container contents for purposes of auditing, compliance, and informed risk management. Furthermore, this approach not only secures the software supply chain but also fosters a culture of accountability and transparency within the organization.

Akitra Andromeda represents a cutting-edge, AI-driven compliance automation solution aimed at simplifying the complex landscape of regulatory compliance for organizations, regardless of their size. It accommodates an extensive array of compliance standards such as SOC 2, ISO 27001, HIPAA, PCI DSS, SOC 1, GDPR, NIST 800-53, along with tailored frameworks, allowing businesses to maintain ongoing compliance with ease. With more than 240 integrations available for major cloud services and SaaS applications, it effortlessly fits into existing operational processes. The platform’s automation features significantly lower the expenses and time involved in traditional compliance management by automating the processes of monitoring and gathering necessary documentation. Additionally, Akitra offers an extensive library of templates for policies and controls, which aids organizations in developing a thorough compliance program. Its continuous monitoring functionality guarantees that assets are not only secure but also remain compliant at all times, providing peace of mind for businesses. Ultimately, Akitra Andromeda empowers companies to focus on their core operations while seamlessly managing their compliance obligations.

OpenWeave serves as a governance mechanism for AI agents and autonomous systems, functioning as a server-enforced state machine that regulates the actions of AI agents and the timing of those actions. Users can outline workflows comprising states, transitions, and authorized triggers; the backend consistently enforces transitions with a strict 403 error, while pivotal states require human approval, effectively preventing bots from acting until a human intervenes. The monitoring feature provides insights into agent activities, ensuring that OpenWeave stops inappropriate actions before they occur. Instead of hardcoding transitions, agents learn about permissible transitions through the API, ensuring that every bot possesses a verifiable identity, and all modifications are logged in an immutable audit trail. The system offers integration through a REST API and a remote MCP server, making it a vital resource for AI-agent developers, AgentOps/MLOps, and platform teams. This comprehensive framework not only enhances security but also streamlines the management of AI workflows, ultimately contributing to safer and more efficient autonomous systems.

XBOW is an advanced offensive security platform driven by AI that autonomously identifies, confirms, and exploits vulnerabilities in web applications, all without the need for human oversight. It adeptly executes high-level commands based on established benchmarks and analyzes the resulting outputs to tackle a diverse range of security challenges, including CBC padding oracle attacks, IDOR vulnerabilities, remote code execution, blind SQL injections, SSTI bypasses, and cryptographic weaknesses, achieving impressive success rates of up to 75 percent on recognized web security benchmarks. Operating solely on general directives, XBOW seamlessly coordinates tasks such as reconnaissance, exploit development, debugging, and server-side assessments, leveraging publicly available exploits and source code to create tailored proofs-of-concept, validate attack pathways, and produce comprehensive exploit traces along with complete audit trails. Its remarkable capability to adjust to both new and modified benchmarks underscores its exceptional scalability and ongoing learning, which significantly enhances the efficiency of penetration-testing processes. This innovative approach not only streamlines workflows but also empowers security professionals to stay ahead of emerging threats.

AI Sigil is a comprehensive platform designed for governance, risk, and compliance in the realm of artificial intelligence. It features an up-to-date library containing 28 regulatory frameworks, which includes the EU AI Act and an array of national and state laws. Users are required to register each AI system along with its various components, such as use cases, models, data, interfaces, and actions. The platform then intelligently determines applicable regulations, categorizes the system according to its role and associated risk level, and outlines the requisite obligations, updating them whenever there are changes to the system. These obligations are transformed into actionable requirements and controls, distributed across the organization and the system level, each assigned to a responsible party with defined status, evidence, and review frequency, all while maintaining a comprehensive risk register that includes mitigations. Regular assessments and questionnaires are conducted on a set schedule, preserving a complete history of responses that can be shared with vendors or external evaluators without requiring them to have an account. The output is a regulator-ready report that is created solely from the recorded data and secured with a unique fingerprint, all supported by a thorough activity log. Additionally, the platform supports multi-entity, role-based access, features a REST API and MCP server, and offers support in six different languages, making it a versatile tool for organizations navigating the complexities of AI regulation.

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.

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.

Kastra serves as the crucial authorization framework for AI systems, determining the permissions of agents, models, and tools prior to their execution. Positioned along the execution path of all interactions such as prompts, tool calls, shell commands, database operations, and API requests, it evaluates each action based on deterministic, attribute-driven policies, rendering decisions to allow, deny, redact, or escalate in less than a millisecond. In contrast to monitoring solutions that only track AI actions post-execution, Kastra proactively prevents unauthorized activities before they can impact any tool, API, database, or production environment. Its comprehensive control plane integrates a policy engine, edge decision-making capabilities, various integrations, and a tamper-proof evidence vault that securely signs each decision for auditing and replay purposes. Furthermore, with Kastra Edge, local enforcement is extended to developer environments, safeguarding coding agents such as Claude Code, Cursor, and Codex CLI from harmful commands, unauthorized data extraction, unsafe file modifications, and improper tool usage. This proactive approach to authorization not only enhances security but also ensures compliance and accountability in AI-driven processes.

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.

Trail ML serves as an AI governance copilot platform designed to assist organizations in establishing reliable, compliant, and transparent AI systems by automating tedious governance and documentation activities. It consolidates a variety of essential functions such as AI registry management, policy formulation, risk assessment, automated documentation, development oversight, audit trails, and compliance workflows into a single system, allowing teams to effectively categorize and monitor all AI applications, trace decisions from initial data and model stages to final outcomes, and minimize the burden of manual documentation and governance tasks. Additionally, it incorporates various governance frameworks and templates, facilitates the development of tailored AI policies, and aids teams in recognizing and addressing risks while preparing for audits and adhering to standards like ISO 42001, as well as regulations such as the EU AI Act. Trail employs a combination of curated knowledge, risk libraries, and AI-driven automation to manage governance responsibilities, convert regulatory mandates into actionable tasks, and enhance collaboration among stakeholders, ultimately fostering a more efficient governance environment. By streamlining these processes, organizations can focus more on innovation and less on compliance concerns.

We instill trust and integrity throughout the software development life cycle by offering comprehensive, cryptographically verifiable tracking and provenance for all artifacts, actions, and dependencies, seamlessly and at scale. Our solution leverages the open-source immudb to provide a high-speed, immutable storage option. It integrates effortlessly with your current programming languages and CI/CD processes. With Codenotary Cloud, every company, developer, automation engineer, and DevOps professional can secure all phases of their CI/CD pipeline. Utilizing Codenotary Cloud® allows you to construct immutable, tamper-resistant solutions that satisfy auditor requirements as well as relevant regulations and laws. The Codenotary Trustcenter empowers any company, developer, automation engineer, or DevOps engineer to enhance the security of their CI/CD pipeline stages. Furthermore, the attestation process, which includes notarization and authentication of each step in the pipeline, along with the results from vulnerability scanners, is handled through a tamper-proof and immutable service, enabling compliance with Level 3 and 4 of the Supply-chain Levels for Software Artifacts (SLSA). This robust framework not only enhances security but also promotes accountability and transparency in the software development process.

Tuning Engines serves as a comprehensive AI control and governance framework designed for teams engaged in building production intelligence that spans various models, agents, tools, and specialized systems. This platform consolidates the entire AI lifecycle into a single, regulated environment, encompassing aspects like inference, model routing, fallback strategies, fine-tuning tasks, datasets, evaluations, model imports and exports, custom models, agents, MCP servers, reusable skills, guardrails, AGT YAML policies, data capture, runtime tracing, usage analytics, API management, billing, team roles, and numerous integrations. Developers benefit from APIs compatible with OpenAI, routes aligned with Anthropic, CLI workflows, MCP access, and seamless coding-agent integrations, along with a comprehensive resource catalog for models, agents, tools, and skills. Moreover, teams have the ability to link various AI workflows, including Claude Code, OpenCode, Aider, Cline, Roo, Continue.dev, Cursor, VS Code, Windsurf, and more, all through a singular, governed platform that enhances collaboration and efficiency.

LoopIQ is a comprehensive AI-driven platform that unifies the entire software development lifecycle into a single, streamlined workspace. It combines modules such as project management, test management, knowledge management, and IT service management to eliminate fragmented tools. The platform is built with a compliance-first approach, automatically capturing audit-ready evidence as teams work. LoopIQ uses agentic AI to orchestrate workflows, trigger tasks, manage approvals, and identify risks in real time. It ensures full traceability by linking every action, decision, and outcome to its corresponding context. The system supports continuous compliance, meaning audit documentation is generated automatically without manual effort. LoopIQ also includes built-in time tracking and ticket management, reducing the need for additional tools. Its AI-powered project management features help teams prioritize tasks, track progress, and maintain velocity. The platform improves collaboration by centralizing knowledge, documentation, and communication in one place. It is designed to reduce interruptions and increase focus for development teams. Overall, LoopIQ provides a powerful solution for managing development workflows while maintaining compliance and efficiency.

The IAP's groundbreaking integration of blockchain technology, zero-knowledge proofs, and meta-consensus protocols enables various parties to cryptographically validate the existence of evidence, claims, or activities for any interested entities. In addition, this system ensures total transparency while maintaining the privacy of sensitive information intact. It empowers any participant to generate a time-stamped verification of evidence, be it a legal document or a significant historical event. Furthermore, independent entities like auditors or consumers are able to confirm this verification without compromising the privacy or confidentiality of the original information, thereby fostering a trustworthy environment for all. This innovative approach not only enhances accountability but also builds greater trust among participants in any given ecosystem.

Align your AWS utilization and controls with both prebuilt and tailored frameworks. By automating evidence collection, you can save valuable time and concentrate on verifying the effectiveness of your controls. Enhance collaboration between teams and maintain audit integrity through read-only permissions. Leverage AWS Audit Manager to connect your compliance needs to AWS usage data, utilizing both standard and custom frameworks alongside automated evidence gathering. Transitioning from manual to automated evidence collection simplifies the process, eliminating the burdens of collecting, reviewing, and managing evidence. With automated collection, you can effortlessly gather evidence, keep an eye on your compliance status, and actively mitigate risks by optimizing your controls. Additionally, you can upload manual evidence to accommodate your hybrid environment. AWS Audit Manager continuously monitors your AWS usage, making it easier to evaluate risk and compliance. Upon defining and initiating an assessment based on a chosen framework, the Audit Manager will carry out resource assessments, providing you with a comprehensive view of your compliance landscape. Ultimately, this ensures that your organization can maintain a robust compliance posture while effectively managing its cloud resources.

PsychProof serves as a legal risk framework tailored for Australian employers striving to meet the psychosocial hazard compliance requirements set forth by the Work Health and Safety Act. It systematically organizes the complete WHS four-step procedure—identification, consultation, control, and review—while generating a cryptographically secure audit trail throughout the entire process. Each record is timestamped in accordance with RFC 3161, employs SHA-256 hashing, and is prepared for forensic export, making it readily accessible for WorkSafe investigators, legal teams, or board-level assessments. Designed with HSEQ Managers, WHS professionals, HR Directors, and PCBUs in mind, PsychProof is particularly beneficial for sectors such as mining, healthcare, aged care, construction, manufacturing, and transport, ensuring compliance and enhancing workplace safety. This innovative solution not only facilitates adherence to legal obligations but also promotes a culture of safety and accountability within organizations.

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.

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.

LangProtect serves as a cutting-edge security and governance platform specifically designed for AI, offering robust protection against issues such as prompt injections, jailbreaks, data leaks, and the generation of unsafe or non-compliant outputs in LLM and Generative AI applications. Tailored for production-grade GenAI environments, this platform implements real-time controls at the execution level of AI, meticulously examining prompts, model outputs, and function calls as they occur, enabling teams to intercept high-risk actions before they can affect end users or compromise sensitive information. By doing so, LangProtect ensures that potential threats are neutralized promptly, preserving the integrity of data and user interactions. Furthermore, LangProtect seamlessly integrates with existing LLM infrastructures through an API-first design that maintains low latency, accommodating various deployment models including cloud, hybrid, and on-premise solutions to meet the security and data residency requirements of enterprises. It is also equipped to safeguard contemporary architectures like RAG pipelines and agentic workflows, providing policy-driven enforcement, continuous monitoring, and governance that is ready for audits. This comprehensive approach ensures that organizations can confidently leverage AI technologies while minimizing risks associated with their deployment.

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.

Aeroz serves as the essential layer for authentication, tracking, compliance, and connectivity pertaining to physical products. By uniting the physical with the digital realm through NFC-RFID technology, it empowers businesses to create transparent, secure, and intelligent supply chains seamlessly integrated into their existing frameworks, eliminating the need for comprehensive overhauls. Each product is equipped with a tamper-evident cryptographic identity, allowing for widespread application without the necessity of pre-encoding. Utilizing AI-driven tracking, it efficiently identifies anomalies and enhances routing, while automated compliance reporting and product recalls ensure that the supply chain remains ready for audits at all times. Additionally, innovative connected packaging transforms every product into a direct channel for customer engagement, fostering deeper connections between brands and consumers. This multifaceted approach not only streamlines operations but also enhances overall supply chain visibility and responsiveness.

vp.net is a VPN service that prioritizes user privacy through a zero-knowledge framework and robust, hardware-enforced security measures, providing verifiable and end-to-end encrypted connections where even the provider cannot track user actions. Utilizing Intel SGX enclaves along with attestation services, it guarantees that the execution of its code is both authentic and subject to audit, providing users with undeniable evidence that no logs are kept and that user data remains isolated from their secure sessions. The service enhances performance with cutting-edge packet-routing technology, boasting significantly higher speeds than its competitors, while ensuring that users maintain complete control over their devices, which keeps network traffic anonymous and renders any metadata collection cryptographically unfeasible. Aimed at empowering users, vp.net ensures that only the individual user can see their session details, fostering a transparent, verifiable operation that goes beyond mere promises, thus reinforcing trust in its service. Consequently, vp.net stands out as a vigilant guardian of online privacy, making it a compelling choice for those looking to safeguard their digital footprint.

WCAGdesk provides a comprehensive scan of your website to ensure compliance with WCAG 2.2 AA standards while producing a timestamped, tamper-proof audit trail that serves as machine-readable evidence for the EU Accessibility Act (EAA) and Germany’s BFSG. Unlike conventional overlay tools, WCAGdesk offers a verifiable, time-stamped documentation of your accessibility efforts, making it resistant to legal challenges. It produces a GitHub Action / SARIF report and a robust accessibility statement, enhancing both accountability and transparency. Users can start with a free scan without needing to register, while paid subscriptions begin at €29 for a complete report or €149 per month for ongoing monitoring services. Additionally, the platform features automated scanning, an RFC 3161 timestamped audit trail, an accessibility statement generator in both English and German, GitHub Action integration for seamless CI/CD workflows, and thorough compliance documentation for EAA and BFSG requirements. Overall, WCAGdesk is designed to simplify your accessibility compliance journey while ensuring meticulous documentation.

Both AI and non-AI models require effective risk management and oversight to function optimally. Fairly offers a continuous monitoring system designed for robust model governance and oversight. This platform facilitates seamless collaboration between risk and compliance teams alongside data science and cyber security professionals, ensuring that models maintain reliability and security standards. Fairly provides a straightforward approach to staying current with policies and regulations related to the procurement, validation, and auditing of non-AI, predictive AI, and generative AI models. The model validation and auditing process is streamlined by Fairly, which grants direct access to ground truth in a controlled environment for both in-house and third-party models, all while minimizing additional burdens on development and IT teams. This ensures that Fairly's platform not only promotes compliance but also fosters secure and ethical modeling practices. Furthermore, Fairly empowers teams to effectively identify, assess, and monitor risks while also reporting and mitigating compliance, operational, and model-related risks in alignment with both internal policies and external regulations. By incorporating these features, Fairly reinforces its commitment to maintaining high standards of model integrity and accountability.

The Entrust Cryptographic Security Platform serves as a comprehensive, all-in-one solution tailored for the management of cryptographic assets such as keys, secrets, and certificates within varied enterprise settings. By providing a centralized dashboard, it allows organizations to gain visibility over their cryptographic assets, monitor changes, and receive security alerts, thereby enhancing their overall security management. The platform is built for scalability, ensuring high-performance cryptographic solutions that adhere to regulatory compliance and safeguard against emerging threats in the future. Key features include automated management of the certificate lifecycle, effective key and secrets management, and seamless integration with hardware security modules to ensure secure key storage and cryptographic functions. Moreover, the platform supports interoperability with existing IT and security systems through a wide range of integrations and open APIs, making it a flexible choice for businesses looking to strengthen their security posture. This adaptability is crucial for organizations aiming to stay ahead in an ever-evolving threat landscape.

Truzta is an advanced platform that leverages artificial intelligence to streamline security and compliance automation, enabling organizations to efficiently achieve, sustain, and scale their adherence to key regulatory frameworks like ISO 27001, SOC 2, HIPAA, and GDPR. By automating critical processes such as gap assessments, control implementations, policy creation, evidence gathering, ongoing monitoring, and audit preparedness, Truzta offers a comprehensive dashboard for users. The platform enhances compliance readiness through automated evidence gathering that connects with numerous tools, timely notifications for failing controls, and ongoing penetration testing paired with risk assessments to identify vulnerabilities before they can be exploited. Truzta also encompasses features like secure code reviews, cloud security posture management, API security, automated access evaluations, incident management, third-party risk oversight, and customizable policy templates, significantly minimizing manual tasks and the potential for errors while ensuring that all documentation is always ready for audits. Additionally, it streamlines operational workflows through smooth integrations, organized change management, and centralized reporting, making it an invaluable asset for organizations aiming to enhance their security posture and compliance efforts. Ultimately, Truzta stands out as a solution that not only reduces complexity but also fosters a proactive approach to compliance and security.

Vissibl is a compliance platform powered by artificial intelligence, designed to ensure that evidence for ISO 9001 is always prepared for audits and remains up-to-date at all times. This innovative approach streamlines compliance processes and boosts organizational efficiency.

SWEAR functions as a security and content-authenticity platform that ensures the verification and protection of audio and video media in real-time from the moment they are captured. It generates a unique "Digital DNA" for each individual frame, pixel, and audio clip during the recording process, with this metadata being securely stored on an independent, immutable blockchain ledger, which facilitates the detection of any future alterations. Users are able to confirm the integrity of footage by comparing its current form against the original authenticated version, providing instant proof of authenticity when needed. The platform is specifically engineered to protect sensitive applications, such as legal evidence, surveillance, public safety, and corporate security, thereby ensuring a reliable chain of custody while preserving the integrity of media whether in transit or storage. SWEAR’s security framework seamlessly integrates with various recording devices and cameras, and it also features a mobile application for added convenience. Additionally, the technology offers comprehensive metadata tracking, which encompasses frame rate, resolution, and even intricate pixel-level details, ensuring robust immutable provenance and security measures throughout the media lifecycle. This multifaceted approach not only enhances trust in media authenticity but also empowers users to confidently utilize the technology across a wide range of critical scenarios.