Best Insider Threat Management Software for IBM Cloud

Organizations looking to stay above the crowd, stop reacting and be in control. Companies looking to enter the continuous improvement process and optimize their investments. Through GoSecure Titan®'s Managed Security Services (which includes our Managed Extended Detection & Response (MXDR) Service) and our Professional Security Services, we are your ally to prevent breaches.

Proofpoint stands out as a premier people-focused solution for Insider Threat Management (ITM), designed to safeguard against the potential loss of data and damage to reputation caused by insiders acting out of malicious intent, negligence, or ignorance. By analyzing activity and data transactions, Proofpoint enables security teams to pinpoint user risk factors, recognize insider-driven data breaches, and enhance the speed of their incident response. With insider threats accounting for 30% of all data breaches, the financial repercussions of these incidents have surged twofold over the past three years. Additionally, Proofpoint equips security teams with the tools needed to minimize the likelihood and impact of insider threats, streamline their response efforts, and boost the overall efficiency of security operations. We provide a comprehensive collection of resources, including reports and strategies, aimed at helping you effectively manage insider threat risks. Users can visualize and explore correlated data on user activities, interactions, and risks through unified timelines, making it easier to understand and address potential vulnerabilities. This holistic approach not only enhances security measures but also fosters a proactive stance against insider-related risks.

iSecurity AP-Journal serves to safeguard essential business data against both insider threats and external security breaches while also keeping managers informed about any alterations to information assets, thereby simplifying the IBM i journaling process. It meticulously records the details of activities—who did what, when, and which specific actions were taken. Unlike the standard IBM i journaling, it captures database access (READ operations) directly into journal receivers, making it a vital element for meeting compliance requirements. The solution actively monitors modifications to objects, application files, and their members, while also accommodating periodic structural changes in application files. It facilitates the observation of application files during such changes, and offers programmable routines tailored to specific field exits. Moreover, it provides real-time alerts for any changes in critical business data, with these notifications triggered by thresholds defined by users. In addition, it generates detailed reports that present all application modifications on a unified timeline and in multiple formats, ensuring comprehensive oversight of data integrity. This level of reporting not only enhances transparency but also aids in maintaining robust security protocols.

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.