Network-based Malware Detection 2.0: Assessing Scale, Accuracy and DeploymentBy Mike Rothman
Detecting malware feels like a losing battle. Between advanced attacks, innovative attackers, and well-funded state-sponsored and organized crime adversaries, organizations need every advantage they can get to stop the onslaught. We first identified and documented Network-Based Malware Detection (NBMD) devices as a promising technology back in early 2012, and they have made a difference in detecting malware at the perimeter. Of course nothing is perfect, but every little bit helps.
But nothing stays static in the security world so NBMD technology has evolved with the attacks it needs to detect. So we updated our research to account for changes in scalability, accuracy, and deployment:
The market for detecting advanced malware on the network has seen rapid change over the 18 months since we wrote the first paper. Compounding the changes in attack tactics and control effectiveness, the competition for network-based malware protection has dramatically intensified, and every network security vendor either has introduced a network-based malware detection capability or will soon. This creates a confusing situation for security practitioners who mostly need to keep malware out of their networks, and are uninterested in vendor sniping and trash talking.
Accelerating change and increasing confusion usually indicate it is time to wade in again and revisit findings to ensure you understand the current decision criteria – in this case of detecting malware on your network. So this paper updates our original research to make sure you have the latest insight for your buying decisions.
Direct Download (PDF): Network-based Malware Detection 2.0: Assessing Scale, Accuracy and Deployment
We would like to thank Palo Alto Networks for licensing the content in this paper. Obviously we wouldn’t be able to do the research we do, or offer it to you without cost, without companies supporting our research.