At the RSA 2018 security conference, Intel has announced a couple of security-oriented technologies including one that will let security products use the integrated GPU on some of its processors to offload virus and malware scanning, cutting down CPU utilization.
While most security software solutions rely solely on the CPU power to scan the local system for viruses, malware, and similar security issues, this process uses a lot of CPU resources, especially on entry-level and CPUs aimed at the embedded or mobile market.
According to Intel’s own benchmarks, the Accelerated Memory Scanning, as it is called, can lower the CPU utilization from 20 percent to as little as 2 percent, which is a great result, especially considering that some other mobile-oriented CPUs could benefit from such technology even further.
According to the same editorial, written by Rick Echevarria, vice president of the Software and Services Group at Intel Corporation, Microsoft’s Windows Defender Advanced Threat Protection’s (ATP) is already using this technology.
In addition to the Accelerated Memory Scanning, Intel also announced the Advanced Platform Telemetry, which combines platform telemetry with machine learning algorithms in order to both improve the detection of advanced threats as well as reduce the number of false positives.
Intel has teamed up with Cisco which will take advantage of this integration on its Tetration platform, aimed at data center security and cloud workload protection.
Intel also announced the Intel Security Essentials, a collection of root-of-trust hardware security capabilities across its Core, Xeon and Atom processors. These include technologies for secure boot, hardware protections (for data, keys and other digital assets), accelerated cryptography and trusted execution enclaves to protect applications at runtime.
While Microsoft and Intel might be just first partners we are sure that others will jump on Intel’s new security technologies as leveraging the integrated GPU for virus/malware scanning will definitely bring noticeable performance improvements while its advanced threat detection with machine learning is something that most network security companies are already working on.