Ransomware Protection
Stops ransomware by monitoring file activity in real time and detecting abnormal modifications immediately — before encryption spreads.
XEPP is the third line at the endpoint — running in parallel with Windows Defender, your existing AV, and the XEDR stack. Machine Learning catches pre-execution threats and emerging malware. Four behavioural pillars cover the gaps AV-class tools miss: ransomware activity, in-memory attacks, credential theft from LSASS, and USB device abuse.
Stops ransomware by monitoring file activity in real time and detecting abnormal modifications immediately — before encryption spreads.
Stops in-memory attacks using YARA-based scanning and deep kernel behaviour signals — catching threats that never touch disk.
Protects credentials by filtering handles extracted from the LSASS process and stripping dangerous rights — blocking the most common lateral-movement path.
Smart management of removable media. Not a blanket USB block — intelligent control that allows necessary access while preventing dangerous use.
Windows Defender and AV tools catch known signatures well. XEDR watches process behaviour and isolates threats post-execution. But a class of attacks slips past both: ransomware that mimics legitimate file operations, shellcode injected directly into memory, credential dumping from LSASS, and malware delivered via USB. XEPP fills that gap — pre-execution ML, YARA memory scanning, LSASS handle filtering, and smart USB policy, all running without touching your existing stack.
The design is intentionally non-disruptive. XEPP never replaces Defender or any AV — it runs in parallel, which means zero displacement risk and no policy migration. Adding it is purely additive coverage.
Three tools at the endpoint, each catching what the others miss — that is defense-in-depth done right.
XEPP maps directly to NIS2 Art.21 requirements for system and endpoint security and basic cyber-hygiene practices. The parallel-AV design — documented, non-displacive, and behaviourally monitored — constitutes clear technical-control evidence. Pre-execution ML detection and LSASS hardening satisfy the directive's expectation of appropriate technical measures proportionate to the risk.