Virsec releases Deterministic Protection Platform (DPP) to ensure better protection against all known and unknown threats to software workloads and reduce threat actor dwell time from minutes to milliseconds, with true protection and runtime observability. Combining attack coverage and accuracy in the industry, DPP by Virsec offers to protect server workloads across the entire runtime stack, eliminating false positives, when deployed on bare metal, virtual machines (VMs), containers, or in the cloud. DPP promises to make security response obsolete by improving the protection and it is available via an annual subscription.

“Security practitioners are exhausted at the failed promise of ‘protection’ when many vendors merely offer alerts after an attack on their applications. As we’ve seen with Log4j, PrintNightmare, and other recent attacks, this approach is not working,” said Dave Furneaux, Co-founder, and CEO of Virsec.

DPP’s other features include:

• Full application stack protection at runtime, automatically protecting vulnerable workloads covering all facets including applications, files, processes, and memory space that are typically targeted by attackers
• Only trusted execution is allowed, ensuring zero adversaries dwell time and stopping an attacker’s malicious actions within milliseconds against both known and unknown threats—specifically protecting against ransomware, remote code execution, supply chain poisoning, and memory-based attacks
• Uniquely detects advanced attacks at the web, host, and memory levels that bypass Extended/Endpoint Detection and Response (X/EDR), Web Application Firewall (WAF), Intrusion Detection, and Prevention System (IDPs), Endpoint Protection Platforms (EPP), and Antivirus (AV) solutions. It can reduce, or entirely negate, the need for patching
• With its read-only approach to mapping the software workload, DPP by Virsec does not harm applications while providing true protection. This unique approach also allows for fast deployment, performance maintenance, and automation at scale