Best Insider Threat Management Software for Box

BetterCloud is the market leader for SaaS Operations, enabling IT professionals to transform their employee experience, maximize operational efficiency, and centralize data protection. With no-code automation enabling zero touch workflows, thousands of forward-thinking organizations like HelloFresh, Oscar Health and Square now rely on BetterCloud to automate processes and policies across their cloud application portfolio. With 10+ years experience pioneering the SaaS Operations movement, BetterCloud now serves the world’s largest community of SaaSOps experts. As host of Altitude, the industry’s leading SaaSOps event and publisher of The State of SaaSOps Report, the category’s definitive market research, BetterCloud is recognized by customers (G2) and leading analyst firms (Gartner and Forrester) as the market leader in SaaS Operations Management. Headquartered in New York City, with a product and engineering office in Atlanta, GA, as well as innovation hubs & remote talent across the U.S. BetterCloud is backed, among others, by some of the best technology investors including Vista Equity Partners, Warburg Pincus, Bain Capital, and Accel.

Welcome to the realm of data security tailored for collaborative and remote enterprises. Ensure that approved collaboration tools like Slack and OneDrive are being used correctly. Identify unauthorized applications that could signal deficiencies in the available corporate tools or employee training. Achieve insight into file activities occurring off the corporate network, including uploads to the web and the use of cloud synchronization applications. Swiftly identify, probe, and address instances of data exfiltration carried out by remote workers. Stay informed with activity alerts that are triggered by specific file types, sizes, or quantities. Furthermore, utilize comprehensive user activity profiles to enhance the efficiency of investigations and responses, ensuring a robust security posture in a dynamic work environment.

In today’s landscape, numerous cyberattacks are engineered to bypass conventional defenses that rely on signatures, such as file hash checks and lists of known malicious domains. These attacks often employ low and slow methods, including dormant or time-triggered malware, to breach their intended targets. The market is saturated with security solutions that assert they utilize cutting-edge analytics or machine learning to enhance detection and response capabilities. However, it's important to recognize that not all analytics hold the same weight. Securonix UEBA employs advanced machine learning and behavioral analytics to meticulously examine and link interactions among users, systems, applications, IP addresses, and data. This solution is lightweight, agile, and can be deployed rapidly, effectively identifying complex insider threats, cyber risks, fraudulent activities, cloud data breaches, and instances of non-compliance. Additionally, its integrated automated response protocols and flexible case management workflows empower your security team to tackle threats with speed, precision, and effectiveness, ultimately strengthening your overall security posture.

Reveal Security ITDR detects identity threats - post authentication - in and across SaaS applications and cloud services. Powered by unsupervised machine learning, it continuously monitors and validates the behavior of trusted human users, APIs and other entities, accurately detecting anomalies that signal an in-progress identity threat.

Incydr provides essential visibility, context, and control to effectively prevent data leaks and intellectual property theft. It enables the detection of file exfiltration through various channels, including web browsers, USB devices, cloud applications, email, file link sharing, Airdrop, and more. You can track how files are transferred and shared throughout your organization without requiring policies, proxies, or additional plugins. Incydr automatically recognizes when files exit your secure environment, making it easy to spot instances where files are sent to personal accounts or unmanaged devices. The system prioritizes file activities based on over 120 contextual Incydr Risk Indicators (IRIs), ensuring that this critical prioritization is operational from day one without any setup needed. Its risk-scoring methodology is use case-driven and offers transparency to administrators, allowing them to understand the rationale behind risk assessments. Additionally, Incydr employs Watchlists to proactively safeguard data from employees who may have a higher risk of leaking or stealing files, particularly those who are about to leave the company. Overall, Incydr equips organizations with a comprehensive suite of technical and administrative response controls to effectively address the full range of insider threats and incidents. This holistic approach ensures that your organization's data remains secure in an increasingly complex digital landscape.

MIND represents a groundbreaking data security solution that automates data loss prevention (DLP) and insider risk management (IRM), enabling organizations to swiftly identify, detect, and thwart data leaks at machine speed. It actively locates sensitive information within files dispersed throughout various IT environments, whether the data is at rest, in transit, or actively in use. By pinpointing and addressing blind spots in sensitive data across IT ecosystems such as SaaS applications, AI tools, endpoints, on-premises file shares, and emails, MIND ensures comprehensive coverage. The platform continually monitors and assesses billions of data security incidents in real time, providing enriched context for each event and autonomously implementing remediation measures. Furthermore, MIND can automatically prevent sensitive data from leaving your control in real time or work collaboratively with users to mitigate risks while reinforcing your organization's policies. With its capacity to integrate seamlessly with diverse data sources across your IT infrastructure, MIND consistently reveals vulnerabilities in sensitive data, enhancing overall security posture. The innovative features of MIND not only protect valuable information but also foster a culture of compliance and awareness among users.

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.

Safeguard your SaaS applications from breaches, threats, and data leaks seamlessly. In just a few minutes, you can secure essential SaaS platforms like Workday, Salesforce, Office 365, G Suite, GitHub, Zoom, and more, using data-driven insights, vigilant monitoring, and effective remediation strategies. As businesses increasingly transition their critical operations to SaaS, security teams often struggle with a lack of cohesive visibility necessary for swift threat detection and response. They face challenges in addressing fundamental inquiries: Who has access to these applications? Who holds privileged user status? Which accounts have been compromised? Who is sharing files with external parties? Are the applications set up in accordance with industry best practices? It is crucial to enhance SaaS security measures. Obsidian provides a streamlined yet robust security solution designed specifically for SaaS applications, focusing on unified visibility, ongoing monitoring, and advanced security analytics. By utilizing Obsidian, security teams can effectively safeguard against breaches, identify potential threats, and take prompt actions in response to incidents within their SaaS environments, ensuring a comprehensive approach to security management.