Automated Moving Target Defense

Despite massively expanding investment in cybersecurity, damage from cyberattacks continues to rise at an unprecedented rate, projected to reach over $10 trillion by next year. If existing solutions were working, ransomware and supply chain breaches wouldn’t be happening and inflicting so much financial devastation, brand erosion, and business loss. Today’s solutions are manifestly not countering threat actors’ advanced attacks.

Next generation antivirus (NGAV), endpoint protection platforms (EPP), and endpoint detection and response (EDR and XDR) solutions stop known attacks with recognized signatures and behavioral patterns. But they often do not detect or prevent the more disruptive advanced attacks organizations are experiencing today – the undetectable attacks such as zero-days, malware variants or supply chain attacks that lead to ransomware. A new technology recognized by Gartner is proven to stop advanced threats pre-emptively, making prevention-first security a reality: Moving Target Defense (MTD), also known as Automated Moving Target Defense (AMTD).

Automated Moving Target Defense lowers IT and security team costs and effort by slashing ‘false positive’ security alerts, IT support tickets, and analyst alert triage time.

It protects critical systems through the same kind of polymorphism and evasion that adversaries have used to great effect in the past 10 years. It provides a proactive approach for defenders, rather than waiting for threat actors to breach their systems and find the holes. It empowers organizations to prevent breaches on the endpoint before they can spread and perpetrate ransomware.

Almost all malicious software, or malware, was once executable files on disc or the operating system (OS). These executables leave behind evidence of their existence. Tools like antivirus (AV), NGAV, EPP, EDR, and XDR evolved to spot telltale signs of malware deployment, such as attack patterns and signatures. They would then isolate threats before they could do real damage.

But sophisticated threat actors are wise to traditional cybersecurity tools. Attack chains increasingly hijack legitimate system processes for malicious ends or target device memory at runtime rather than the disc or OS. Hijacked legitimate system processes and in-memory threats offer little, if anything, in the way of signatures to detect or behavior patterns to analyze.

Legitimate system processes must work in memory at runtime, but this environment is mostly invisible to current cybersecurity tools. To catch an attack in progress, they need to scan device memory multiple times while an application is running and listen to the correct triggering operations to find malicious patterns. But in a typical application’s runtime environment, there might be 4GB of virtual memory. Even when dialed to the most aggressive alert settings, it’s impossible to scan this volume of data often enough. At least without slowing down an application so much as to make it barely usable.

To ensure usability, memory scanners can only look for highly specific parameters, at specific memory locations, and at specific timeline triggers. In a best-case scenario, a scanning-focused solution might scan a small fraction of application memory. But threats also now use polymorphism to obfuscate their presence, so catching malicious activity in such a small sample of device memory would be miraculous.

Aggressive alert settings also result in a vast number of false positive alerts that require extra resources to analyze. If a high number of alerts and false positives aren’t an issue for an organization using current cybersecurity tools, their alert setting is probably too low. They are almost certainly missing the most disruptive advanced attacks.

This is why organizations need MTD.

Automated Moving Target Defense technology morphs the runtime memory environment to create a continually changing, unpredictable attack surface. This means that even in the highly unlikely event a threat actor can find their target once, they’re unable to reuse that attack on another device or even later on in the same device. MTD uses an ultra-lightweight agent to block unauthorized processes deterministically, as opposed to probabilistically. This means MTD generates a few false positive alerts and doesn’t noticeably affect system performance. It integrates seamlessly into a tech stack to augment NGAV, EPP, EDR, and XDR with Defense-in-Depth to stop in-memory, fileless, zero-day, supply chain attacks, and other advanced threats.

Moving Target Defense uses techniques similar to those of attackers, such as polymorphism, deception, and evasion. It obfuscates targets by randomizing application memory runtime so a threat actor can’t accurately identify their target.

Imagine a fork in a road with a road sign. In one direction is a mansion full of riches. In the other direction is a dangerous, sheer cliff. MTD switches which way the road sign points.

Threat actors who travel this imaginary road are diverted to the sheer cliff. Meanwhile, legitimate traffic is still sent to the mansion. Employees get work done, while threat actors are refused entry. AMTD, also called Moving Target Defense (MTD), prevents ransomware, supply chain attacks, zero-day attacks, fileless attacks, in-memory attacks, and other advanced threats. It uses system polymorphism in memory to hide operating system and application targets from adversaries in an unpredictable manner. This leads to a dramatically reduced attack surface and lower security operating costs.