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 is an AI-native data loss prevention and data security platform that protects sensitive information across traditional enterprise environments, GenAI applications, and autonomous AI agents. It continuously discovers and classifies sensitive data across SaaS platforms, endpoints, email, on-premises file shares, GenAI services, and agentic AI environments. MIND is designed to simplify DLP deployment by reducing the need for manually created regular expressions, extensive policy tuning, and professional services. Its Data Detection and Response capabilities analyze billions of signals in real time and enrich security incidents with contextual information to help distinguish meaningful risks from false positives. Automated remediation enables the platform to respond to identified risks without requiring security teams to manually investigate and resolve every event. Real-time loss prevention capabilities can stop sensitive data from leaving the organization or interact with users to remediate risky activity and reinforce security policies. MIND also provides AI DLP agents that apply autonomous capabilities to data security operations and help organizations protect information as AI adoption expands. Supported use cases include data discovery and classification, GenAI security, agentic AI protection, insider risk management, SaaS data protection, endpoint DLP, email DLP, on-premises DLP, and integrated identity and data security. By combining discovery, detection, response, prevention, and user coaching in one platform, MIND helps security teams operate a centralized data protection program across human and AI activity.

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.