Illusive Networks is offering a free, fast, and remote Attack Risk Assessment that identifies vulnerabilities getting exploited by attackers in the massive, sudden transition to WFH infrastructure.
Early detection & on-demand forensic intelligence stops
high-impact sideways attacks
Flip the dynamic that favors attackers. Goodbye anomaly detection, hello distributed deception!
Stop attacks through real-time threat detection and endpoint isolation.
This on-demand webcast explains how deception speeds up breach detection and reduces attacker dwell time.
Illusive-sponsored research finds deception technology reduces attacker detection time by over 90%
In complex environments, organizations rely on a variety of systems or devices—new and old—that can’t be patched properly, monitored consistently, or fitted with the latest security controls. Some technologies have inherent security limitations or are subject to third-party restrictions. In other cases, security takes a back seat when organizations face resource constraints, or when making changes may cause system downtime. Furthermore, when it comes to IoT devices – or other network devices including routers, switches and printers – the impossibility of effectively patching or monitoring them, along with their sheer diversity, creates a mass of ideal network locations for attackers to carry out reconnaissance, surveillance and data theft undetected.
With Illusive’s technology, organizations can prevent attackers from ever reaching business-critical systems—which is especially important for devices that cannot be properly secured.
Learn more about Illusive protections for:
With an Illusive solution in place, organizations can more safely extend the life of legacy equipment, compensate for lag times that inevitably occur in patching processes, and more confidently leverage operational technologies (OT), IoT devices, and other networked equipment that may not have been designed with security in mind.
Built on award-winning, military grade cybersecurity, the Illusive Platform:
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