Alternatives to Sekura.ai

Safetica Intelligent Data Security protects sensitive enterprise data wherever your team uses it. Safetica is a global software company that provides Data Loss Prevention and Insider Risk Management solutions to organizations. ✔️ Know what to protect: Accurately pinpoint personally identifiable information, intellectual property, financial data, and more, wherever it is utilized across the enterprise, cloud, and endpoint devices. ✔️ Prevent threats: Identify and address risky activities through automatic detection of unusual file access, email interactions, and web activity. Receive the alerts necessary to proactively identify risks and prevent data breaches. ✔️ Secure your data: Block unauthorized exposure of sensitive personal data, trade secrets, and intellectual property. ✔️ Work smarter: Assist teams with real-time data handling cues as they access and share sensitive information.

Transparency, choice and control are key to trust. Organizations have the opportunity to leverage these moments to build trust, and provide more valuable experiences. People expect greater control over their data. We offer privacy and data governance automation to help organizations better understand and comply with regulatory requirements. We also operationalize risk mitigation to ensure transparency and choice for individuals. Your organization will be able to achieve data privacy compliance quicker and build trust. Our platform helps to break down silos between processes, workflows, teams, and people to operationalize regulatory compliance. It also allows for trusted data use. Building proactive privacy programs that are rooted in global best practice and not just reacting to individual regulations is possible. To drive mitigation and risk-based decision-making, gain visibility into unknown risks. Respect individual choice and integrate privacy and security by default in the data lifecycle.

Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection. Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.

Our easy-to-implement AI Governance Control Plane ensures AI usage adheres to corporate policies. SurePath AI helps you to reduce complexity, gain visibility and increase AI adoption in a secure manner. Native integrations with your existing security solutions. Private models and enterprise data sources. Native support for SSO, SCIM and SIEM. Detect AI usage at the network level. Control access to sensitive data and inspect requests. Redact sensitive data from requests to public models. Modifications in-line of requests can be made to improve productivity and reduce risk. Redirect traffic to private AI models. Use SurePath AI’s private model access control as your own, internally branded enterprise AI Portal. Policy-based controls enrich request with only enterprise data that users have been granted access to. This gives meaningful responses based upon relevant business context. Users' prompts will automatically be enhanced to align output with enterprise objectives.

Amazon SageMaker, a fully managed service, provides data scientists and developers with the ability to quickly build, train, deploy, and deploy machine-learning (ML) models. SageMaker takes the hard work out of each step in the machine learning process, making it easier to create high-quality models. Traditional ML development can be complex, costly, and iterative. This is made worse by the lack of integrated tools to support the entire machine learning workflow. It is tedious and error-prone to combine tools and workflows. SageMaker solves the problem by combining all components needed for machine learning into a single toolset. This allows models to be produced faster and with less effort. Amazon SageMaker Studio is a web-based visual interface that allows you to perform all ML development tasks. SageMaker Studio allows you to have complete control over each step and gives you visibility.

Cisco AI Defense is an advanced security platform designed to help organizations securely adopt and manage AI technologies. It tackles key challenges like unauthorized usage of generative AI tools and vulnerabilities in AI applications by delivering comprehensive visibility and control over AI assets. The solution includes features such as AI Access to regulate third-party AI usage, automated vulnerability scans for AI models and applications, real-time protections against adversarial attacks, and a centralized inventory of AI resources across hybrid environments. With its integration of network-level insights and ongoing threat intelligence, Cisco AI Defense provides a robust framework for mitigating the risks associated with AI deployment and ensuring the safe operation of AI systems.

AI and non AI models require risk management and oversight. Fairly is a continuous monitoring tool for advanced model governance. With Fairly, data science and cyber-security teams can easily collaborate with risk and compliance teams to ensure that models are reliable and secured. Fairly makes it simple to stay up to date with policies and regulations regarding procurement, validation, and audit of non AI, predictive AI, and generative AI. Fairly simplifies model validation and auditing by providing direct access to ground truth within a controlled environment, for both in-house models and third-party ones, without adding additional overhead to development or IT teams. Fairly's platform guarantees compliant, ethical, and secure models. Fairly helps teams identify compliance, operational, and model risks and mitigate them according to internal policies, external regulations, and monitor, report, and assess them.

55% of organizations adopt AI to remain competitive. Harmonic equips security teams with robust tools to ensure secure implementation. Harmonic's security reach is extended as employees adopt new tools, particularly from remote locations. Harmonic ensures that no shadow AI escapes detection. Harmonic's advanced security measures will help you to minimize the risk of data exposure, and ensure compliance. Your sensitive information will remain private and secure. The traditional data security methods cannot keep up with the rapid advances in AI. Many security teams are stuck with broad, restrictive measures which severely impact productivity. Harmonic offers a smarter solution. Our solutions give security professionals the visibility and tools they need to protect sensitive, unstructured information effectively without compromising efficiency.

Observability allows you to detect data issues and ML problems faster, to deliver continuous improvements and to avoid costly incidents. Start with reliable data. Monitor data in motion for quality issues. Pinpoint data and models drift. Identify the training-serving skew, and proactively retrain. Monitor key performance metrics continuously to detect model accuracy degradation. Identify and prevent data leakage in generative AI applications. Protect your generative AI apps from malicious actions. Improve AI applications by using user feedback, monitoring and cross-team collaboration. Integrate in just minutes with agents that analyze raw data, without moving or replicating it. This ensures privacy and security. Use the proprietary privacy-preserving technology to integrate the WhyLabs SaaS Platform with any use case. Security approved by healthcare and banks.

Acuvity provides the most comprehensive AI governance and security platform for your employees and apps. DevSecOps allows developers to focus on AI Innovation while DevSecOps implements AI Security without code changes. Pluggable AI security ensures complete coverage without outdated libraries or inadequate coverage. By utilizing GPUs only to run LLM models, you can reduce costs. Full visibility of all GenAI models and apps, plugins and services that are being used and explored by your teams. Granular observability of all GenAI interactions, with comprehensive logging. AI usage in enterprises needs a specialized framework that can address new AI risks and comply with emerging AI regulation. Employees can use AI with confidence, without exposing confidential information. Legal wants to make sure that AI-generated content is free of copyright or regulatory issues.

Manage data security and risk across your entire stack. Data collection and data shaping occurs in your customer-facing assets. Source code with data flow and third-party components. Data breaches, the sharing/selling of information and targeted advertising without consent are all factors that contribute to a lack of trust in how companies handle their data. Don't lose your customers' trust if you expose them to privacy risks. Our data protection plans will protect sensitive information for your organization and ensure their privacy. Our privacy program will protect all the data of your business. Our privacy compliance software will protect your enterprise from fines if you do not comply with security policies. Zendata's platform does not require any code to protect your customers' information and ensure compliance.

A platform for AI governance, designed by lawyers with regulatory experience and tailored to your policies and use cases. Businesses must learn how to navigate and comply new legislation and guidelines. AI failures can lead to a loss of customer trust and a decline in product engagement. Teams are faced with AI systems that are more complex and have a greater number of use cases. Our assessments and live model control will help you monitor compliance with your AI systems. Alert users of potential issues or risk. Implementing good AI Governance practices can take a lot of time. Use the built-in automation for importing model data and artifacts and updating documentation. Understand AI compliance within your organization. Give senior stakeholders a complete picture of their AI to make strategic decisions. Share reports with curated audiences. We provide a comprehensive set of policies to ensure legal and regulatory conformance through pre-configured assessment.

Controllo, an AI-enhanced platform for Governance, Risk, and Compliance, unifies data, teams, and tools to streamline audit and regulatory compliance processes, thereby reducing costs and timelines. It provides comprehensive end-toend GRC management. Information security teams can get a 360-degree overview of compliance across multiple frameworks. The platform integrates seamlessly with ticketing tools like Jira or ServiceNow as well as communication software to ensure effective risk mitigation. It prioritizes vulnerabilities according to the actual cyber risk impact, rather than relying on technical severity scores. This allows for data-driven mitigation and ensures regulatory compliance. Controllo supports various frameworks.

Lanai, an AI empowerment platform, is designed to help enterprises navigate through the complexities of AI adoption. It does this by providing visibility into AI interaction, protecting sensitive data, and speeding up successful AI initiatives. The platform includes features such as AI Visibility to discover prompt interactions between applications and teams, Risk Monitoring to track compliance and identify possible exposures, and Progress Tracking to measure adoption against strategy targets. Lanai also provides policy intelligence, guardrails, and in-context guidance to help users navigate queries appropriately and maintain document integrity. The platform provides smart prompt coaching to provide real-time guidance. It also offers personalized insights into the top use cases and apps, as well as manager and user reports that accelerate enterprise usage and ROI.

Accelerate the entire machine learning lifecycle. Developers and data scientists can have more productive experiences building, training, and deploying machine-learning models faster by empowering them. Accelerate time-to-market and foster collaboration with industry-leading MLOps -DevOps machine learning. Innovate on a trusted platform that is secure and trustworthy, which is designed for responsible ML. Productivity for all levels, code-first and drag and drop designer, and automated machine-learning. Robust MLOps capabilities integrate with existing DevOps processes to help manage the entire ML lifecycle. Responsible ML capabilities – understand models with interpretability, fairness, and protect data with differential privacy, confidential computing, as well as control the ML cycle with datasheets and audit trials. Open-source languages and frameworks supported by the best in class, including MLflow and Kubeflow, ONNX and PyTorch. TensorFlow and Python are also supported.

Every model requires governance to ensure ethical and responsible decision-making in the business. IBM® watsonx.governance™ toolkit for AI governance allows you to direct, manage and monitor your organization's AI activities. It uses software automation to enhance your ability to mitigate risk, manage regulatory requirements, and address ethical concerns when it comes to both generative AI (ML) and machine learning models. Access automated and scalable compliance, governance and risk tools that cover financial management, IT governance, IT governance, operational risk and policy management. Proactively detect model risks and mitigate them while translating AI regulations to enforceable policies that can be enforced automatically.

OneTrust Data & AI Governance is an integrated platform that consolidates insights from data, models, risk assessments, and metadata. It provides comprehensive visibility to data products and AI developments. It accelerates data driven innovation by increasing approval speed for data products and AI system. The solution ensures business continuity by continuously monitoring data and AI systems. This ensures regulatory compliance, effective management of risk, and reduced application downtime. It simplifies compliance through centrally defining and orchestrating data policies, as well as natively enforcing them. The scanning, classification and tagging sensitive data are key features that ensure reliable application of data governance across structured and nonstructured sources. It promotes responsible use of data by enforcing a robust data governance frame work that enforces role-based access.

Scale the next generation of AI applications with confidence. Scale AI with confidence across your organization using industry-leading technologies that manage risk, improve accuracy and privacy, reinforce transparency and simplify compliance. Use templates and tools that integrate responsible AI into open source, machine-learning operations, and generative AI workflows to empower cross-functional teams in building the next generation of AI apps. With Azure security and tooling for responsible AI, you can detect and mitigate harmful usage. Monitor text and images for offensive or inappropriate content. Rapid machine-learning models can be deployed and seamless collaboration is enabled with prompt flow. This accelerates time to value. Create generative AI applications, and copilots on one platform.

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.

Responsible AI is a business problem and not a technical problem. We solve the problem by connecting teams to one platform, allowing you to reduce risk, maximize your potential, and put your intentions into action. Cloud-based governance applications can unite every stage of your AI/ML journey. GovernML is the catalyst you need to bring AI/ML systems to the world. We offer user-friendly workflows that track the entire lifecycle of your AI journey. This is good news for your bottom line and risk mitigation. Monitaur offers cloud-based governance solutions that track your AI/ML model from policy to proof. SOC 2 Type II certified, we can enhance your AI governance and provide bespoke solutions through a single platform. GovernML is responsible AI/ML systems that are available to the world. You can now create scalable, user-friendly workflows to document the entire lifecycle of your AI journey from one platform.

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

You can now build what took years. Simple, customizable, scalable, secure, ML monitoring. Everything you need to deploy and maintain ML in production. Superwise integrates with any ML stack, and can connect to any number of communication tools. Want to go further? Superwise is API-first. All of our APIs allow you to access everything, and we mean everything. All this from the comfort of your cloud. You have complete control over ML monitoring. You can set up metrics and policies using our SDK and APIs. Or, you can simply choose a template to monitor and adjust the sensitivity, conditions and alert channels. Get Superwise or contact us for more information. Superwise's ML monitoring policy templates allow you to quickly create alerts. You can choose from dozens pre-built monitors, ranging from data drift and equal opportunity, or you can customize policies to include your domain expertise.

Azure AI Content Security is a platform for content moderation that uses AI to ensure your content remains safe. AI models can detect offensive or inappropriate text and images in seconds, allowing you to create better online experiences. Language models analyze multilingual texts, both in short and long form with an understanding of context, semantics, and syntax. Using the latest Florence technology, vision models can recognize images and detect objects. AI content classifiers can identify content that is sexual, violent, hateful, or self-harming with high levels granularity. The severity of content moderation is measured on a scale from low to high.

Databricks Unity Catalog, the only open and unified governance solution in the industry for data and AI that is built into the Databricks Data Intelligence Platform, is the only one of its kind. Unity Catalog allows organizations to seamlessly govern structured and unstructured information in any format. This includes machine learning models, notebooks and dashboards as well as files and files stored on any cloud or platform. Data scientists, analysts, engineers, and other professionals can securely discover, access and collaborate on trusted AI assets across platforms. This will boost productivity and unlock full potential of the Lakehouse environment. This open and unified approach to governance accelerates data and AI projects and simplifies regulatory compliance. Discover and classify structured and unstructured information in any format including machine learning models and notebooks.

Our platform dynamically evaluates and mitigates AI risk in models and datasets relating to bias, proxy bias, and fairness. Our Responsible AI technology provides greater visibility into AI models, and makes them more understandable and interpretable. Our AI robustness assurance algorithms are based on research and identify and mitigate risk related to lack robustness. Our platform provides a comprehensive review of the AI landscape, including MRM and AI regulations, and provides a deeper risk analysis. AI risks in both internal AI systems and AI systems provided by a third party need to be assessed, and remedied. SigmaRed platform allows comprehensive third-party AI Risk Management (AI TPRM). It reduces cycle time for AI risk assessments and provides deep visibility, control and stakeholder-based reports.

Tumeryk Inc. is a leader in advanced generative AI-based security solutions. We offer tools such as the AI Trust Score for real-time monitoring and risk management. Our platform enables organizations to secure AI systems and ensure reliable, trustworthy, policy-aligned deployments. The AI Trust Score quantifies risk associated with generative AI systems. This allows for compliance with regulations such as the EU AI Act ISO 42001 and NIST RMF 6000.1. This score evaluates the trustworthiness and scores generated prompt responses. It accounts for risks such as bias, jailbreak tendency, off-topic answers, toxicity and Personally Identifiable Information data leakage. It can be integrated in business processes to determine whether content should either be accepted, flagged or blocked. This allows organizations to minimize risks associated with AI generated content.

SolasAI software detects and removes discrimination & bias from a customer’s decisioning models. It can be used in a variety of applications, including credit & insurance underwriting and predictive marketing. We provide trust and transparency in artificial intelligence, machine-learning, and standard statistical model. SolasAI can help you if you're tired of paying for expensive experts that don't agree and then leaving the hard work of fixing problems to your expensive data scientists who are overworked. We keep up with the latest signals and decisions from courts, regulators and law makers as well as the newest and best technology trends in AI and fairness. SolasAI has this built in so you don't need to do it yourself.

Data analysts, engineers, scientists, and other scientists can be brought together. Automate self-service analytics and machine learning operations. Get results today, build for tomorrow. Dataiku DSS is a collaborative data science platform that allows data scientists, engineers, and data analysts to create, prototype, build, then deliver their data products more efficiently. Use notebooks (Python, R, Spark, Scala, Hive, etc.) You can also use a drag-and-drop visual interface or Python, R, Spark, Scala, Hive notebooks at every step of the predictive dataflow prototyping procedure - from wrangling to analysis and modeling. Visually profile the data at each stage of the analysis. Interactively explore your data and chart it using 25+ built in charts. Use 80+ built-in functions to prepare, enrich, blend, clean, and clean your data. Make use of Machine Learning technologies such as Scikit-Learn (MLlib), TensorFlow and Keras. In a visual UI. You can build and optimize models in Python or R, and integrate any external library of ML through code APIs.

Use Qlik®, Staige™, to make AI real. It will provide a trusted foundation for data, automation, actionable forecasts, and a company-wide impact. AI is not just experiments and initiatives - it's a whole ecosystem of files, scripts and results. We've partnered up with the best sources to provide you with integrations that will save time, enable better management, and validate the quality of your data. Automate the delivery and management of real-time AWS data to data lakes or warehouses, and make this data easily accessible via a governed catalogue. With our new integration with Amazon Bedrock you can easily connect foundational large-language models (LLMs), including A21 Labs Amazon Titan, Anthropic Cohere and Meta. AWS customers can leverage AI-driven insights with ease using seamless integration with Amazon Bedrock.

WitnessAI builds the guardrails to make AI productive, safe, and usable. Our platform allows enterprises the freedom to innovate, while enjoying the power of generative artificial intelligence, without compromising on privacy or security. With full visibility of applications and usage, you can monitor and audit AI activity. Enforce a consistent and acceptable use policy for data, topics, usage, etc. Protect your chatbots, employee activity, and data from misuse and attack. WitnessAI is building an international team of experts, engineers and problem solvers. Our goal is to build an industry-leading AI platform that maximizes AI's benefits while minimizing its risks. WitnessAI is a collection of security microservices which can be deployed in your environment on-premise, in a sandbox in the cloud, or within your VPC to ensure that data and activity telemetry remain separate from other customers. WitnessAI, unlike other AI governance solutions provides regulatory separation of your information.

Unutilized data is the biggest obstacle to scaling AI-powered decision making. IBM Cloud Pak®, for Data is a unified platform that provides a data fabric to connect, access and move siloed data across multiple clouds or on premises. Automate policy enforcement and discovery to simplify access to data. A modern cloud data warehouse integrates to accelerate insights. All data can be protected with privacy and usage policy enforcement. To gain faster insights, use a modern, high-performance cloud storage data warehouse. Data scientists, analysts, and developers can use a single platform to create, deploy, and manage trusted AI models in any cloud.

Datatron provides tools and features that are built from scratch to help you make machine learning in production a reality. Many teams realize that there is more to deploying models than just the manual task. Datatron provides a single platform that manages all your ML, AI and Data Science models in production. We can help you automate, optimize and accelerate your ML model production to ensure they run smoothly and efficiently. Data Scientists can use a variety frameworks to create the best models. We support any framework you use to build a model (e.g. TensorFlow and H2O, Scikit-Learn and SAS are supported. Explore models that were created and uploaded by your data scientists, all from one central repository. In just a few clicks, you can create scalable model deployments. You can deploy models using any language or framework. Your model performance will help you make better decisions.

Our easy-to-use monitor builder allows you to create customized monitors for your machinelearning models. Get alerts for issues such as concept drift, model performance degradation and bias. Aporia can seamlessly integrate with any ML infrastructure. It doesn't matter if it's a FastAPI server built on top of Kubernetes or an open-source deployment tool such as MLFlow, or a machine-learning platform like AWS Sagemaker. Zoom in on specific data segments to track the model's behavior. Unexpected biases, underperformance, drifting characteristics, and data integrity issues can be identified. You need the right tools to quickly identify the root cause of problems in your ML models. Our investigation toolbox allows you to go deeper than model monitoring and take a deep look at model performance, data segments or distribution.

Simplified quality assurance for machine learning. Snitch eliminates all noise so you can find the most relevant information to improve your models. With powerful dashboards and analysis, you can track your model's performance beyond accuracy. Identify potential problems in your data pipeline or distribution shifts and fix them before they impact your predictions. Once you've deployed, stay in production and have visibility to your models and data throughout the entire cycle. You can keep your data safe, whether it's cloud, on-prem or private cloud. Use the tools you love to integrate Snitch into your MLops process! We make it easy to get up and running quickly. Sometimes accuracy can be misleading. Before you deploy your models, make sure to assess their robustness and importance. Get actionable insights that will help you improve your models. Compare your models against historical metrics.

DataHub is a free and open-source metadata platform that streamlines data discovery, observability and governance across diverse data ecologies. It allows organizations to discover trustworthy data with experiences tailored to each user and eliminates breaking updates with detailed cross-platform, column-level lineage. DataHub gives you a complete view of your data, including its business, operational and technical context. The platform provides automated data quality checks, AI-driven anomaly identification and alerts teams when problems arise. It also centralizes incident tracking. DataHub's detailed ownership, documentation, and lineage information allows for quick issue resolution. It automates governance by classifying assets in real-time, reducing manual work with GenAI documentation, AI classification, and smart propagation. DataHub’s extensible architecture supports more than 70 native integrations.

LMOps is a stack that allows you to launch production-ready applications for monitoring, model management and more. Portkey is a replacement for OpenAI or any other provider APIs. Portkey allows you to manage engines, parameters and versions. Switch, upgrade, and test models with confidence. View aggregate metrics for your app and users to optimize usage and API costs Protect your user data from malicious attacks and accidental exposure. Receive proactive alerts if things go wrong. Test your models in real-world conditions and deploy the best performers. We have been building apps on top of LLM's APIs for over 2 1/2 years. While building a PoC only took a weekend, bringing it to production and managing it was a hassle! We built Portkey to help you successfully deploy large language models APIs into your applications. We're happy to help you, regardless of whether or not you try Portkey!

ModelOp is a leading AI governance tool that helps enterprises safeguard AI initiatives including generative AI and Large Language Models. It also protects in-house vendors, third-party vendors and embedded systems without stifling the innovation. Corporate boards and C suites demand the rapid adoption of generative AI, but face financial risks, regulatory, privacy, security, and ethical issues. Governments at all levels, including federal, state and local, are implementing AI regulations and overseeing the industry quickly. This forces enterprises to prepare and comply with rules that prevent AI from going awry. Connect with AI Governance specialists to stay informed on market trends, regulations and news. You can also get insights and opinions from experts. ModelOp Center helps organizations stay safe and provides peace of mind for all stakeholders. Streamline reporting and compliance across the enterprise.

Google Cloud Dataplex is a data fabric that allows organizations to centrally manage, monitor and govern data across data lakes and data warehouses. It provides access to trusted data, while enabling analytics and AI to be powered at scale. Dataplex provides a unified data management interface that allows users to automate data discovery and classification, as well as metadata enrichment, for structured, semistructured, or unstructured data in Google Cloud, and beyond. It simplifies data curation, tiering and archiving by facilitating the logical organization into business-specific domains, using lakes and zones. Centralized governance and security features allow for policy management, monitoring and auditing across silos of data, allowing distributed data ownership and global oversight. Dataplex also has built-in capabilities for data quality and data lineage, automating data assessments and capturing lineage.

You can build, run, and manage AI models and optimize decisions across any cloud. IBM Watson Studio allows you to deploy AI anywhere with IBM Cloud Pak®, the IBM data and AI platform. Open, flexible, multicloud architecture allows you to unite teams, simplify the AI lifecycle management, and accelerate time-to-value. ModelOps pipelines automate the AI lifecycle. AutoAI accelerates data science development. AutoAI allows you to create and programmatically build models. One-click integration allows you to deploy and run models. Promoting AI governance through fair and explicable AI. Optimizing decisions can improve business results. Open source frameworks such as PyTorch and TensorFlow can be used, as well as scikit-learn. You can combine the development tools, including popular IDEs and Jupyter notebooks. JupterLab and CLIs. This includes languages like Python, R, and Scala. IBM Watson Studio automates the management of the AI lifecycle to help you build and scale AI with trust.

CoComply’s Certification Platform offers a top-down perspective on data and AI criticality. It guides organizations through a four phase process to achieve governance and certification readiness, as well as monetization ready for their data assets and AI assets. The platform is designed to streamline Data and AI Governance. It helps organizations organize, maintain, and certify assets in accordance with regulatory standards and complying with compliance requirements. The platform is powered primarily by two modules: 1) Regulatory Intelligence 2) Certification Management CoComply offers organizations a systematic path to achieve compliance, audit-readiness, and certification for their data and AI assets. Since 2008, more than 200 data and AI usage cases have been certified by our certification framework for compliance and risk.

The Databricks Data Intelligence Platform enables your entire organization to utilize data and AI. It is built on a lakehouse that provides an open, unified platform for all data and governance. It's powered by a Data Intelligence Engine, which understands the uniqueness in your data. Data and AI companies will win in every industry. Databricks can help you achieve your data and AI goals faster and easier. Databricks combines the benefits of a lakehouse with generative AI to power a Data Intelligence Engine which understands the unique semantics in your data. The Databricks Platform can then optimize performance and manage infrastructure according to the unique needs of your business. The Data Intelligence Engine speaks your organization's native language, making it easy to search for and discover new data. It is just like asking a colleague a question.

HookPhish, a leading cybersecurity company, specializes in combating social engineering and evolving phishing threats. Our platform offers innovative ways to boost defenses, increase employee awareness, and protect sensitive data. Platform Overview 1. Phishing Simulation Immerse your teams in realistic scenarios to identify and counter phishing attacks. Interactive simulations improve resilience against attacks. 2. Awareness Training: Equip your employees with knowledge about social engineering tactics. To thwart possible threats, foster a security-conscious environment. 3. Data Leak Protection: Monitor, track and safeguard sensitive information against unauthorized access. Ensure strict control over proprietary data. 4. Phishing Detection: Stay ahead of the game with advanced monitoring. Rapidly identify and stop phishing, typosquatting and brand impersonation.

Standardize your AI governance efforts across different stakeholders, ensure regulatory readiness for your governance processes, and manage and measure your AI compliance and risks. You can transform your AI/ML projects from being managed by a variety of teams and processes into a centralized repository for trusted governance. Keep up-to-date on the latest regulations and standards by downloading AI Policy Packs. These packs meet all current and future regulations. Credo AI is an intelligence layer which sits on top your AI infrastructure and converts technical artifacts to actionable risk and compliance insights for product leaders and data scientists as well as governance teams. Credo AI is an intelligence layer which sits on top your technical and business infrastructure. It converts technical artifacts into compliance scores and risk scores.

Fasoo Enterprise DRM (Digital Rights Management) is a comprehensive data security solution designed to protect sensitive information throughout its lifecycle, whether at rest, in transit, or in use. It enables organizations to maintain control over critical data with features like granular permission management, centralized policy enforcement, and persistent file control. These capabilities ensure that files remain secure, even when shared externally or stored on third-party platforms. Real-time monitoring and detailed audit logs provide visibility into file activity, enabling organizations to detect and address potential risks before they escalate. Fasoo Enterprise DRM supports compliance with regulations such as GDPR, HIPAA, and CCPA, offering tools to simplify data governance and reduce the risk of fines or legal issues. With its ability to mitigate insider threats and prevent unauthorized access, Fasoo empowers businesses to safeguard intellectual property, protect customer data, and maintain trust with stakeholders. It’s ideal for industries like finance, healthcare, manufacturing, and government, where data security and regulatory compliance are critical.

Externally visible vulnerabilities, and misconfigurations. Continuous, advanced scanning will help you detect and address external vulnerabilities. Secure your APIs by monitoring them continuously and securing them against unauthorized access. Get tailored hardening tips for your system. Gain valuable threat information without putting real data at risk. Quantify risks to maximize ROI. Gain a deeper understanding of compliance. Replace multiple tools with a single platform. Anticipate and neutralize cyber-threats. Utilize machine learning and deep-learning to optimize your cybersecurity process. Extended Attack Surface Management ensures visibility and control of your entire digital presence including internal, external and API attack surfaces. xASM enables proactive cyber threat mitigation, thereby protecting your business continuity.

Qypt AI's features, such as AI-powered document searching on the device and granular control of access, increase productivity while protecting confidential information. Whether you are handling personal documents such as tax recChat & Discuss Docs: Securely without Sharing. Qypt AI is a solution that allows for efficient and secure team communication. QyptAI is designed for both individuals and business. It offers encrypted messaging, secure document sharing, and advanced redaction to ensure sensitive data is protected.

CrowdStrike Falcon, a cloud-native security platform, provides advanced protection from a wide range cyber threats including malware, ransomware and sophisticated attacks. It uses artificial intelligence (AI), machine learning, and incident response to detect and respond in real-time to threats. The platform uses a lightweight, agent-based solution that continuously monitors the endpoints to detect malicious activity. This provides visibility and protection with minimal impact on system performance. Falcon's cloud architecture ensures rapid updates, scalability and rapid threat response in large, distributed environments. Its comprehensive security capabilities help organizations detect, prevent, and mitigate cyber risks. This makes it a powerful tool in modern enterprise cybersecurity.

This powerful, lightweight security platform provides insight observability, proactive controls and threat detection for your Linux infrastructure in the datacenter or cloud. Your cloud infrastructure is a multi-user environment. It is not possible to protect it with security products that were originally designed for endpoints. You need to think beyond analytics and logging solutions, which lack the context and workflows necessary for infrastructure security. Cmd's infrastructure detection platform and response platform is designed for today's agile security teams. Rich filters and triggers allow you to view system activity in real-time or search through stored data. Our eBPF sensors, contextual model, and intuitive workflows allow you to gain insight into user activity, running process, and access to sensitive resource. No advanced Linux administration knowledge is required. To complement traditional access management, create guardrails and controls around sensitive actions.

Syteca is a full cycle insider risk management platform with capabilities in employee monitoring, privileged access management, subcontractor control, and compliance tasks. We help leading companies to protect their sensitive data from numerous industries like Financial, Healthcare, Energy, Manufacturing, Telecommunication and IT, Education, Government, etc. Over 2,500 organizations across the world rely on Syteca! Key solutions: - Privileged Access Management - User activity monitoring - Insider threat management - User and entity behavior analytics - Employee activity monitoring - Enhanced Auditing and Reporting

A proactive approach is required to effectively defend against cyber threats - improve security postures and protect against sophisticated adversaries. In today's rapidly changing threat landscape, defensive cyber services are crucial to safeguarding organizations. Digital forensics, incident response, and advanced analytical techniques are critical components to protecting organizations. Governance, risk and compliance is an important framework that allows organizations to effectively manage risks and ensure compliance.