Anexet Insider Threat Detection vs DTEX Insider Risk Management

Anexet Insider Threat Detection is an on-premise platform combining data-loss prevention, employee activity monitoring, and hardware and software inventory. Its Risk Analysis engine scores behavior against security policies and flags unusual access, spikes in data movement, and work at atypical hours. The vendor says it has no access to customer data. One endpoint-agent architecture supports Windows, Linux, and macOS, including native Apple Silicon. The platform can capture and control activity across email, messaging, chats, web traffic, cloud storage, social media, files, devices, and voice channels. Monitoring may include application and site use, productivity and idle time, screenshots, and screen or audio recording; keylogging and webcam capture depend on the plan. Standard includes core monitoring and interception; Advanced adds DLP, network-share monitoring, keylogging, and webcam pictures. Premium adds fingerprint and hash search, file-system monitoring, relationship and risk analysis, plus local AI incident analysis that can run without internet egress. Pricing is on request, and the trial runs for 30 days on up to 25 controlled computers.

DTEX Insider Risk Management helps enterprise security teams examine user behavior and activity around data and AI to identify potential insider-driven breaches. It offers preconfigured and customizable behavior indicators, user baselines, anomaly detection, and risk scoring. Investigations can draw on MITRE ATT&CK-aligned profiling and endpoint telemetry such as event logs, registry changes, and credential usage to examine signs including lateral movement and privilege escalation. Preconfigured DLP patterns flag risky behavior, while data lineage tracks file interactions and changes. A threat-hunting engine supports searches across insider data using an open query language and customizable visualizations. The platform covers users, endpoints, servers, applications, data, and AI activity across Linux, macOS, Windows, and web. DTEX describes pseudonymization that masks personal identifiers and can be reversed for escalated investigations. It reports metadata collection of about 5 MB per user per day, with deployment materials giving a 3–5 MB range. Pricing is available on request.