Enhancing Cybersecurity with Autonomous Moving Target Defense
A Proactive Approach to Reducing Attack Surfaces and Disrupting the Cyber Kill Chain
Autonomous Moving Target Defense (AMTD) is an emerging field in cybersecurity that aims to enhance the security of systems and networks by continuously and dynamically changing the attack surface. The vision of AMTD is to make it difficult for attackers to find and exploit vulnerabilities by introducing proactive cyber defense mechanisms that leverage automation, deception technologies, and intelligent change decisions.
According to Gartner, "By 2025, 25% of cloud applications will leverage AMTD features and concepts as built-in prevention approaches, enhancing existing Cloud Web Application and API Protection (WAAP) technologies." This underscores the importance of AMTD in the evolving threat landscape and the growing need for organizations to implement effective defenses against cyberattacks.
At its core, AMTD incorporates four main elements: proactive cyber defense mechanisms, automation to orchestrate movement or change in the attack surface, the use of deception technologies, and the ability to execute intelligent (preplanned) change decisions. These elements work together to reduce exposed attack surfaces by introducing strategic change and increase the cost of reconnaissance and malicious exploitation on the attacker.
AMTD is about moving, changing, obfuscating, or morphing various aspects of attack surfaces to thwart attacker activities and disrupt the cyber kill chain. By making it difficult for attackers to find and exploit vulnerabilities, AMTD enhances the security posture of systems and networks and provides a proactive defense against cyber threats.
AMTD is a crucial component of any comprehensive cybersecurity strategy, particularly in today's threat landscape. As organizations continue to adopt cloud applications and services, they must ensure that they are incorporating AMTD features and concepts to enhance their existing defenses and protect against evolving threats.
Great questions, Jason
The implication on 3rd party ASMs are not as devastating as it sounds at first. As Gartner mentions we need existing players and their data to make the whole MTD space autonomous. Hope this makes sense.
With re risk scoring, we can make it work by adjusting the sensitivity. Since this is fully automated we don't need to be worried about false positives.
Does it make sense?
I’m curious what your take is on the implications of this upon external ASM and third party risk scoring solutions. Nice, thought provoking post.