Site icon TechTalks

Why hybrid mesh networks are more challenging to secure

By Brian McHenry

Hybrid mesh networks tie together resources across clouds, on-prem, and beyond, flexing to meet your application’s needs. They let you deploy resources where you need them, reduce latency, and handle shifting workloads efficiently, but that distributed sprawl also turns every node into an attacker’s welcome mat. Unfortunately, the old security playbook is useless here. So, how do you protect a network that breaks all the traditional rules? After all, fast shouldn’t mean fragile. 

Why hybrid mesh networks are hard to secure

Hybrid meshes shatter the traditional perimeter-based security model. In a hybrid mesh network, nodes—from servers to VMs and cloud buckets—can link to other nodes according to application needs and routing rules. Every node can be an entry point for attackers. While these distributed architectures can cut latency, they inherently increase your network’s attack surface. 

This shift complicates monitoring. In a centralized network, data flows through defined chokepoints, making anomaly detection relatively simple. In a hybrid mesh, each node handles a portion of the workflow, so the traffic doesn’t funnel through one central location. This scattering means that logs and metrics are fragmented, creating challenges for unified, real-time oversight. 

Different nodes may use varying protocols, encryption standards, and logging mechanisms, which complicates the task of aggregating data into a cohesive picture for anomaly detection. The result is a longer time to correlate events and potential delays in identifying malicious activities.

Then, there are concerns about access policies. Weak passwords or outdated protocols in one area can clash with tight token-based security elsewhere. These IAM inconsistencies create gaps for exploitation, opening the door for lateral movement and chaos. Hackers hop from node to node using tricks like Pass-the-Hash, escalating their access. 

Ultimate protection strategies 

Mesh networks and security are not incompatible. You don’t have to resign your network to disorder and unnecessary risk, but you’ll need to enforce some best practices across the entire mesh.

1. Scrap Trust and Verify Every Request

Ditch the “trust but verify” mindset. Every request, internal or external, should be assumed to be unsafe and must be verified continuously using mutual TLS (mTLS). For public-facing APIs you’re building, you can get free, auto-renewed certifications from sites like Let’s Encrypt using ACME in your CI/CD pipeline. For internal services, issue short-lived SPIFFE certs—unique IDs from a SPIRE server proving workload identity. 

2. Stop Lateral Movement with Consistent Access Controls

Then, tighten access with attributed-based controls (ABAC) to stop an attacker from jumping from a compromised node. Use a policy engine to define granular rules like “only developers in group X can hit API Y.” This approach is far more secure than a basic access list because it considers more context details like a user’s role, location, device type, and even time of day. 

Continuously monitor these access controls using IAM tools and ensure access keys or credentials aren’t left exposed in configuration files. If attackers get their hands on the wrong secrets, they can bypass your rules entirely. Use a tool like SpectralOps to scan your code for exposed credentials and track risky changes to your access policies. 

3. Slice and Dice Your Network

Break your mesh network into smaller segments to further contain breaches. Use software-defined networking (SDN) tools or service meshes to enforce strict communication policies between segments. Each service should only be able to talk to its designated partners. This best practice helps reel in your attack surface, so even if an attacker compromises one segment, they’re effectively quarantined. 

4. Outmaneuver Attackers with Advanced Threat Detection

Once you have zero trust, ABAC, and micro-segmentation in place, you’ve created a mesh network that is resistant to a large array of threats. But you still need to be prepared for the inevitable. Eventually, some determined attacker will find a way to slip through your defenses. 

Advanced threat detection solutions provide that critical safety net by continuously analyzing your network behavior to spot anomalies, such as unusual spikes in inter-node traffic or a sudden surge in access requests from one node. Deploy a Security Information and Event Management (SIEM) platform to correlate logs across your hybrid mesh to rapidly identify suspicious patterns. These tools allow your team to isolate and remediate threats at the first sign of trouble. 

A New approach for integrated mesh network security

Secure Access Service Edge (SASE) is gaining traction as a way to simplify security and networking across diverse environments into a single, cloud-delivered framework. 

Rather than relying on multiple point solutions, SASE merges Software-Defined Wide Area Networks (SD-WAN) with key security functions like secure web gateways, Cloud Access Security Brokers (CASB), firewall-as-a-service, and zero trust network access. This flexible functionality allows for the enforcement of consistent, context-aware policies across all nodes. The goal is to achieve a significant reduction in operational overhead when moving to SASE-based security frameworks.

Redefining cybersecurity for a distributed world

Hybrid mesh networks aren’t going anywhere. They offer a slew of benefits when building and deploying applications; effortless scaling across cloud and on-prem environments, snappier microservices with less latency, and quicker build cycles. But as each service, container, or VM turns into an independent node, the old “castle-and-moat” security model falls apart. 

The key is to recognize that traditional security methods won’t work in a distributed world. It’s time to integrate modern security measures like zero trust, microsegmentation, and continuous access policy management.

About the author

Brian McHenry is the Global Head of Cloud Security Engineering at Check Point, leading all pre-sales and customer success functions for Check Point’s CloudGuard portfolio. Formerly the VP of Product Management for WAF & API Security at F5, Brian is passionate about aligning product strategies and solutions to more secure business outcomes. Additionally, he is a co-founder of the New York City chapter of Security B-Sides (BSidesNYC.org), an organization dedicated to making cybersecurity careers and conferences more equitable and accessible.

Exit mobile version