In April 2014, Lockheed Martin revolutionized the cyber defense business by publishing a seminal white paper Intelligence-Driven Computer Network Defense Informed by Analysis of Adversary Campaigns and Intrusion Kill Chains. This document sparked a new wave of thinking about digital adversaries, specifically, nation-state advanced persistent threat groups (APTs).
The authors of the paper argued that by leveraging the knowledge of how these adversaries operate, cyber defenders “can create an intelligence feedback loop, enabling defenders to establish a state of information superiority which decreases the adversary’s likelihood of success with each subsequent intrusion attempt.” This so-called kill chain model could “describe phases of intrusions, mapping adversary kill chain indicators to defender courses of action, identifying patterns that link individual intrusions into broader campaigns, and understanding the iterative nature of intelligence gathering form the basis of intelligence-driven computer network defense.”
More Stories
CISA’s 2024 Review Highlights Major Efforts in Cybersecurity Industry Collaboration
The US Cybersecurity and Infrastructure Security Agency’s 2024 Year in Review marks Jen Easterly’s final report before resignation Read More
Casino Players Using Hidden Cameras for Cheating
The basic strategy is to place a device with a hidden camera in a position to capture normally hidden card...
Friday Squid Blogging: Squid on Pizza
Pizza Hut in Taiwan has a history of weird pizzas, including a “2022 scalloped pizza with Oreos around the edge,...
Scams Based on Fake Google Emails
Scammers are hacking Google Forms to send email to victims that come from google.com. Brian Krebs reports on the effects....
Infostealers Dominate as Lumma Stealer Detections Soar by Almost 400%
The vacuum left by RedLine’s takedown will likely lead to a bump in the activity of other a infostealers Read...
The AI Fix #30: ChatGPT reveals the devastating truth about Santa (Merry Christmas!)
In episode 30 of The AI Fix, AIs are caught lying to avoid being turned off, Apple’s AI flubs a...