Lateral movement refers to the techniques cyber attackers use to move progressively through a network after an initial breach, allowing them to escalate privileges, access critical assets, and deploy payloads like ransomware.
When we think of cyberattacks, the initial breach often dominates the headlines. However, the initial compromise of a single endpoint or user account is rarely the end goal for a threat actor. Once inside the network perimeter, attackers rely heavily on lateral movement to navigate through the environment, escalate privileges, and locate sensitive data or mission-critical workloads.
In modern hybrid and multicloud environments, securing the perimeter is no longer sufficient. If internal security controls are weak, a minor intrusion can rapidly escalate into a catastrophic, organization-wide breach. This practical how-to guide explores how enterprise IT and security teams can effectively reduce lateral movement using identity-aware network policies, strong internal segmentation, and workload-level enforcement.
In cybersecurity, a lateral movement attack refers to the techniques that cybercriminals use to progressively move through a network after gaining initial access. Instead of attacking a highly secure database directly from the outside, an attacker might compromise a lower-tier web server or an employee's laptop, and then use that trusted foothold to pivot to other systems.
Lateral movement in cybersecurity is a critical risk because it directly amplifies the blast radius of a breach. It is the exact mechanism that turns a single compromised workstation into a full-scale ransomware event. By understanding how to reduce lateral movement, platform and IT operations leaders can contain threats early, drastically limiting the impact of breaches and ransomware attacks while improving overall security posture.
You cannot secure what you cannot see. The first step in learning how to prevent lateral movement is mapping the architectural vulnerabilities and common lateral movement techniques that allow attackers to roam freely.
Flat Networks: Historically, many enterprise networks were designed to be "flat," meaning that once a user or device bypassed the outer firewall, they had unimpeded access to the rest of the internal network.
Overly Broad Access: In many environments, users and service accounts possess access privileges far beyond what they need to perform their daily duties, giving attackers an easy path to escalation.
Unmonitored East-West Traffic: While north-south traffic (data moving in and out of the data center) is heavily scrutinized, east-west traffic security (server-to-server or workload-to-workload communication) is often neglected, leaving malicious lateral movement techniques undetected.
Hybrid and Multicloud Visibility Gaps: As organizations expand across on-premises data centers and public clouds, visibility into application dependencies often fractures, creating blind spots that attackers actively exploit.
The traditional "castle-and-moat" security model assumed that everything inside the network was trustworthy. Today, relying on perimeter security alone is simply not enough.
To effectively secure workloads, organizations must adopt a Zero Trust mindset by removing implicit trust. This requires enforcing the principle of least privilege, ensuring that every user, device, and workload only has the minimum access necessary to function. Furthermore, continuous internal verification must be applied to all interactions, ensuring that trust is never assumed based solely on network location.
One of the most effective strategies to stop the sideways spread of threats is the implementation of identity-aware network policies.
Historically, internal access was managed using static IP-based controls. However, IP addresses are ephemeral, especially in highly virtualized, cloud-native environments. Identity-aware network policies tie security rules to the actual logical identity of the user, workload, or application, rather than relying on underlying network constructs. This means that a policy stays with a virtual machine or container even if its IP address changes or it migrates to a different host, providing a much higher degree of precision and security. Using tools like Nutanix Flow helps simplify the creation and management of these identity-based rules.
Network segmentation is the practice of dividing a larger network into smaller, isolated sub-networks to improve security and performance. By placing critical applications and databases into their own secure segments, you restrict an attacker’s ability to pivot from a less secure area and mitigate lateral movement risks.
To take this a step further, organizations should implement microsegmentation. While traditional segmentation separates environments (e.g., separating Dev from Prod), microsegmentation isolates individual workloads down to the VM or application level. Solutions like Nutanix Flow Network Security allow you to enforce these granular policies without redesigning your physical network architecture. By wrapping strict security controls around each individual workload, you significantly reduce the blast radius of any potential compromise.
Watch how Nutanix Flow Network Security uses microsegmentation to protect mission-critical workloads and databases.
A primary driver of lateral movement is unrestricted east-west communication. In a typical enterprise data center, the vast majority of traffic flows east-west between servers, rather than north-south.
To protect your environment, you must adopt a default-deny posture for workload-to-workload communication to stop the sideways steal of data across your network. By strictly defining and allowing only the traffic necessary for applications to function, you eliminate the unnecessary lateral paths that attackers use to traverse the environment and map your infrastructure.
Ransomware is no longer just about encrypting a single machine; modern ransomware operators aim to cripple the entire organization. Therefore, reducing lateral movement is synonymous with effective ransomware containment.
By applying identity-aware policies, implementing microsegmentation, and restricting east-west traffic, you create formidable barriers that stop ransomware dead in its tracks. If a user’s laptop is infected with malware, workload-level security ensures that the malicious payload cannot jump to your critical application servers or backup repositories.
For enterprise architects managing complex infrastructure, security controls cannot be limited to a single silo. Policy enforcement must be consistent and repeatable across on-premises data centers, edge locations, and public clouds.
Leveraging centralized networking solutions, such as Nutanix Flow Networking, enables platform leaders to maintain deep visibility into application traffic. This allows for policy portability, ensuring that as workloads migrate across the hybrid cloud, their security policies move seamlessly with them. Maintaining operational simplicity while ensuring universal visibility is critical to preventing the gaps that lead to lateral movement.
Identify critical assets
Map communication paths
Remove unnecessary access
Apply identity-aware policies
Segment sensitive systems
Restrict east-west traffic
Review and refine regularly
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Lateral movement refers to the techniques cyber attackers use to move progressively through a network after an initial breach, allowing them to escalate privileges, access critical assets, and deploy payloads like ransomware.
You can reduce lateral movement by eliminating flat networks, enforcing least privilege, securing east-west traffic, and implementing robust internal segmentation.
Traditional network segmentation divides a network into broader zones (like branch vs. data center), whereas microsegmentation applies security policies at a much more granular level, often isolating individual virtual machines or applications from one another.
Ransomware relies on lateral movement to find and encrypt critical systems across the environment. By blocking unauthorized internal communication paths, you contain the ransomware to the initially infected device, preventing wide-scale disruption.
East-west traffic represents the internal communication between servers and workloads. Because attackers use these internal pathways to pivot and expand their reach, securing east-west traffic is critical to stopping lateral movement after an initial perimeter breach.