Threat hunters at Checkmarx raise an alarm after discovering a threat actor fully automating the creation and delivery of "hundreds of malicious packages" into the NPM ecosystem. [Read More]
Software supply chain security fears escalated with the discovery of "deliberate sabotage" of code in the open-source npm package manager ecosystem. [Read More]
NIST has released the final version of a special publication focusing on offering information and guidance to manufacturers for protecting ICS environments. [Read More]
Threat intelligence can play an important role in improving an organization’s overall cybersecurity posture, provided the right case is made and the right processes are put in place.
In today’s market, more does not mean better. We need security innovation that makes more of what the industry already has by turning what we have into what we need.
By focusing on key attack surfaces and architecting systems to maximize the effectiveness of our monitoring efforts we can detect and stop intrusions much more quickly.
Security frameworks are designed to provide a reference for those designing various programmatic security mechanisms in order to benefit from collective successes and failures of the broad community.
Threat intelligence is only valuable if an organization takes the necessary steps to quickly and easily apply that intelligence to actual security policy.
Data science and machine learning models can assess large groups of cyber threats to find the subtle traits they have in common to better protect organizations.
While we must continue to use defensive technologies because they help address the level of white noise that has become part of the cost to operate in our hyper-connected, digitized world, we can’t stop there.