Best Data Loss Prevention Software for Amazon Web Services (AWS)

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Carbide enhances data loss prevention (DLP) initiatives by incorporating access control measures, encryption surveillance, and continuous monitoring into your cloud security framework. Our solution connects with over 100 cloud platforms to gather and assess data protection mechanisms, identify configuration errors, and notify you of possible vulnerabilities. By implementing technical safeguards, enforcing policies, and providing training resources through Carbide Academy, businesses can mitigate the chances of data breaches and showcase strong data management practices to both auditors and clients.

Kasm Workspaces streams your workplace environment directly to your web browser…on any device and from any location. Kasm is revolutionizing the way businesses deliver digital workspaces. We use our open-source web native container streaming technology to create a modern devops delivery of Desktop as a Service, application streaming, and browser isolation. Kasm is more than a service. It is a platform that is highly configurable and has a robust API that can be customized to your needs at any scale. Workspaces can be deployed wherever the work is. It can be deployed on-premise (including Air-Gapped Networks), in the cloud (Public and Private), or in a hybrid.

Log360 is a SIEM or security analytics solution that helps you combat threats on premises, in the cloud, or in a hybrid environment. It also helps organizations adhere to compliance mandates such as PCI DSS, HIPAA, GDPR and more. You can customize the solution to cater to your unique use cases and protect your sensitive data. With Log360, you can monitor and audit activities that occur in your Active Directory, network devices, employee workstations, file servers, databases, Microsoft 365 environment, cloud services and more. Log360 correlates log data from different devices to detect complex attack patterns and advanced persistent threats. The solution also comes with a machine learning based behavioral analytics that detects user and entity behavior anomalies, and couples them with a risk score. The security analytics are presented in the form of more than 1000 pre-defined, actionable reports. Log forensics can be performed to get to the root cause of a security challenge. The built-in incident management system allows you to automate the remediation response with intelligent workflows and integrations with popular ticketing tools.

Endpoint Protector, a comprehensive, all-in-one Data Loss Prevention Solution for Windows, macOS, and Linux, prevents data theft and data leakage and provides seamless control over portable storage devices. Endpoint Protector can filter data in motion and at rest using regular expressions, dictionaries or data protection regulations like GDPR, PCI DSS and HIPAA. Endpoint Protector has several modules that can be combined and matched to meet client needs. These modules include Content Aware Protection and Device Control. Enforced Encryption is also available. eDiscovery is available. It makes work easier, safer, and more enjoyable, with a great ROI.

Fortinet stands out as a prominent global entity in the realm of cybersecurity, recognized for its all-encompassing and cohesive strategy aimed at protecting digital infrastructures, devices, and applications. Established in the year 2000, the company offers an extensive array of products and services, which encompass firewalls, endpoint security, intrusion prevention systems, and secure access solutions. Central to its offerings is the Fortinet Security Fabric, a holistic platform that effectively melds various security tools to provide enhanced visibility, automation, and real-time intelligence regarding threats across the entire network. With a reputation for reliability among businesses, governmental bodies, and service providers across the globe, Fortinet places a strong emphasis on innovation, scalability, and performance, thereby ensuring a resilient defense against the ever-evolving landscape of cyber threats. Moreover, Fortinet’s commitment to facilitating digital transformation and maintaining business continuity further underscores its role as a pivotal player in the cybersecurity industry.

MinerEye's DataTracker helps organizations overcome the information governance/protection challenge. It automatically scans, indexes and analyzes all unstructured and dark data in an organization's data repository. The solution uses proprietary Interpretive AI™, computer vision, and machine learning to locate relevant files from the billions of stored data. It automatically sends out alerts with the next best action recommendations in case of conflicts, duplicates, or potential violations. This allows data protection to be greatly enhanced and operational costs reduced.

Netwrix Endpoint Protector is a comprehensive endpoint data loss prevention (DLP) and device control solution designed to protect sensitive data across all endpoints. It provides multi-OS support with full feature parity across Windows, macOS, and Linux environments. The platform monitors and controls data transfers across applications, devices, and network channels to prevent unauthorized data leakage. It includes granular device and port control, allowing organizations to manage USBs, printers, Bluetooth devices, and more. Netwrix Endpoint Protector also enforces encryption on removable media, ensuring sensitive data remains protected even if devices are lost or stolen. The solution features content-aware DLP capabilities that scan data in motion and at rest to detect and block sensitive information transfers. It includes endpoint discovery features to locate sensitive data stored on devices and reduce risk. The platform helps organizations comply with regulations such as GDPR, PCI-DSS, and ISO standards. It also protects against insider threats by monitoring user activity and enforcing security policies. With real-time monitoring and automated controls, it reduces the risk of data breaches. Overall, it provides strong endpoint security and centralized control over data usage.

Uncompromised data protection offers the adaptability necessary to meet your specific requirements. Digital Guardian stands out among data loss prevention (DLP) solutions due to its capability to implement either a use case-based strategy (focusing on defined data types or user segments) or a data risk discovery methodology (which identifies previously unknown use cases). By utilizing this risk discovery framework, you can achieve enhanced visibility into the locations of sensitive data, its movement within the organization, and potential vulnerabilities, all without needing to establish policies. Built on AWS, Digital Guardian facilitates straightforward deployment, minimal overhead, and flexible scalability, maximizing the return on your security investment. It provides comprehensive support for Windows, macOS, Linux operating systems, and all types of applications, whether they are browser-based or native. Moreover, its unique “unknown risk” strategy further illuminates the whereabouts of sensitive data, detailing its movement and associated risks, again without relying on policies. Only Digital Guardian offers an integrated approach to data discovery and classification that encompasses content, user, and contextual factors, ensuring robust protection across your entire digital landscape. This multifaceted approach not only enhances data security but also streamlines compliance efforts across diverse regulatory environments.

Identity and Data Protection for AWS and Azure, Google Cloud, and Kubernetes. Sonrai's cloud security platform offers a complete risk model that includes activity and movement across cloud accounts and cloud providers. Discover all data and identity relationships between administrators, roles and compute instances. Our critical resource monitor monitors your critical data stored in object stores (e.g. AWS S3, Azure Blob), and database services (e.g. CosmosDB, Dynamo DB, RDS). Privacy and compliance controls are maintained across multiple cloud providers and third-party data stores. All resolutions are coordinated with the relevant DevSecOps groups.

Uncover, categorize, and safeguard your sensitive information with Nightfall™, which leverages machine learning technology to detect essential business data, such as customer Personally Identifiable Information (PII), across your SaaS platforms, APIs, and data systems, enabling effective management and protection. With the ability to integrate quickly through APIs, you can monitor your data effortlessly without the need for agents. Nightfall’s machine learning capabilities ensure precise classification of sensitive data and PII, ensuring comprehensive coverage. You can set up automated processes for actions like quarantining, deleting, and alerting, which enhances efficiency and bolsters your business’s security. Nightfall seamlessly connects with all your SaaS applications and data infrastructure. Begin utilizing Nightfall’s APIs for free to achieve sensitive data classification and protection. Through the REST API, you can retrieve organized results from Nightfall’s advanced deep learning detectors, identifying elements such as credit card numbers and API keys, all with minimal coding. This allows for a smooth integration of data classification into your applications and workflows utilizing Nightfall's REST API, setting a foundation for robust data governance. By employing Nightfall, you not only protect your data but also empower your organization with enhanced compliance capabilities.

SecureIdentity DLP is a comprehensive suite of solutions designed to safeguard data across various environments, including on-premises, cloud, and hybrid setups, effectively mitigating risks associated with malware, insider threats, and human errors. This protection operates across multiple channels and file types, ensuring sensitive information is blocked in both structured and unstructured data storage systems. Our platform not only identifies the user, device, and data in use but also allows organizations to monitor activities in real-time, providing clarity on who is accessing what at any given moment. As integration with other security solutions increases, our DLP becomes vital for organizations aiming to adopt emerging technologies securely. Unlike our competitors, our DLP offerings stand out by effectively addressing risks posed by both trusted and untrusted users through innovative algorithms and advanced fingerprinting techniques. Furthermore, SecureIdentity DLP features real-time protocol inspection, even for those that are unfamiliar, and possesses the capability to halt data loss instantaneously, thereby enhancing overall data security. This proactive approach ensures organizations can maintain the integrity and confidentiality of their data in an ever-evolving threat landscape.

Establishing a security air gap is essential for minimizing your attack surface and safeguarding your business from both internal and external threats, all while ensuring seamless access to SaaS applications and your data. Access is granted based on user and device identity, whether for SaaS or on-premises applications. To provide a secure work environment, local endpoint threats from devices and the web are mitigated through methods such as encryption, sandboxing, and content rendering. Additionally, enforcing robust enterprise browser security measures—such as data loss prevention, web filtering, phishing defense, and management of browser extensions—is critical. SURF effectively incorporates Zero-Trust principles into the user experience via the browser, offering protection across the enterprise, irrespective of individual roles. By implementing just a few policies, IT and security teams can greatly diminish the attack surface, enhancing overall security posture. Embracing SURF can lead to numerous advantages from an information technology standpoint, ultimately fostering a more resilient and secure digital environment.

CyberTide is an innovative data security platform that leverages AI to provide organizations with comprehensive visibility, control, and safeguarding of sensitive information across various environments, including cloud services, SaaS applications, collaborative tools, and generative AI settings. By integrating several security features into a cohesive framework, such as Data Loss Prevention (DLP), Data Security Posture Management (DSPM), insider risk management, and AI security posture management, it empowers teams to identify, categorize, and protect data in real time. The platform employs context-aware artificial intelligence to thoroughly analyze the meanings and interconnections of data, rather than depending solely on keywords, which greatly minimizes false positives while ensuring precise identification of sensitive content. It actively monitors data both at rest and in transit, encompassing communication channels like emails, chats, and files, as well as AI-generated prompts, all while enforcing stringent policies aimed at preventing unauthorized access, leakage, or misuse of confidential information, including personal, financial, and proprietary data. This proactive approach not only enhances security but also fosters a culture of data protection within organizations.

Matters.AI stands out as the pioneering AI Security Engineer for Data, specifically designed to autonomously detect, comprehend, and address instances of data misuse before any ticket is generated by the Security Operations Center (SOC). This innovative solution safeguards what truly matters, overseeing sensitive data as it exists or moves across various platforms, functioning similarly to a human security engineer that comprehends context, monitors activities, and protects sensitive information independently across environments such as cloud services, SaaS, endpoints, microservices, and AI pipelines. Built upon advanced technologies like semantic intelligence, nearest neighbor search, data lineage modeling, and predictive behavior analysis, Matters goes beyond mere threat detection; it interprets context, foresees potential risks, and takes proactive measures. Rather than depending on outdated static rules, regex patterns, cumbersome dashboards, and incessant alerts, Matters adeptly reads nuanced data signals, tracks risks in real-time, and operates around the clock. By identifying sensitive data based not solely on appearance but also on its significance, Matters employs techniques like fingerprinting and eBPF to monitor data across cloud environments, SaaS applications, endpoints, and beyond, ensuring comprehensive protection and awareness. In this way, Matters.AI not only enhances data security but also transforms the landscape of risk management in the digital age.