TL;DR: Anthropic’s model chaining 32 steps through a corporate network in hours underscores how flat segmentation, over-privileged workloads, and unpatched assets create lateral movement conditions that AI-assisted attackers can exploit, according to ColorTokens. The operational lesson is that containment architecture, not perimeter assumptions, now determines how much damage an intrusion can cause.
At a glance
What this is: ColorTokens says AI-assisted attack chains are exposing the limits of flat network design, especially where lateral movement crosses VLAN boundaries and touches unpatchable devices.
Why it matters: IAM, PAM, NHI, and security teams should read this as a reminder that workload identity, access scope, and containment policy now shape breach blast radius as much as perimeter controls do.
Context
Flat segmentation still fails because it treats location as a control, while modern attack paths operate on identity, trust, and reachable pathways between workloads. In environments with service accounts, devices, and workloads sharing broad trust zones, the issue is not only network design but the absence of identity-aware containment.
This article focuses on the governance gap between what teams can see in scanners and what they can actually contain during an intrusion. The identity angle is genuine here: over-privileged workloads, service accounts, and other non-human identities expand the movement options available to an attacker once any one node is compromised.
Key questions
Q: What breaks when a network is flat and poorly segmented?
A: A flat network turns one successful foothold into a propagation problem. Once an attacker gets inside, unrestricted internal traffic, weak environment separation, and broad workload reach let the compromise spread laterally before teams can respond. Segmentation is what converts a breach from a network-wide event into a contained incident.
Q: Why do unpatchable devices increase the need for segmentation?
A: Unpatchable devices create a permanent exposure problem because the organisation cannot rely on timely remediation to close the gap. Segmentation becomes the compensating control that limits reachability, reduces blast radius, and prevents legacy OT or IoT assets from sitting in broad trust zones.
Q: What are the signs that east-west access is too broad?
A: Broad east-west access usually shows up as service accounts that can reach many internal systems, workloads that share trust far beyond their function, and legacy assets sitting beside general-purpose endpoints. If a compromise on one node gives easy access to the next, the internal policy model is too permissive.
Q: How should teams decide where to place microsegmentation first?
A: Start with the assets that combine high reachability and high consequence, such as internet-facing services, privileged workloads, and unpatchable OT or IoT systems. Those zones create the most useful reduction in blast radius because they are the most likely stepping stones in a real intrusion path.
Technical breakdown
Why VLANs are not microsegmentation
A VLAN is a network grouping mechanism, while microsegmentation is a policy model that restricts who or what can communicate with whom at the workload or device level. VLANs reduce broadcast scope, but they do not express identity-aware access decisions. In practice, an attacker that reaches one host on a shared segment can often move laterally if the only control is subnet placement. True containment depends on policy tied to workload identity, role, and behavior, not just network address.
Practical implication: base containment decisions on identity-aware policy enforcement, not on whether assets share a subnet.
Why unpatchable assets change the containment problem
Legacy OT, IoT, and embedded devices often cannot be patched on a useful timeline, which makes prevention-centric models fragile. Once those assets exist in production, the security problem shifts from remediation to isolation. If an endpoint or device cannot be hardened quickly, then exposure must be reduced by limiting the communication paths that reach it. This is why segmentation becomes a compensating control for lifecycle-intractable assets rather than a convenience feature.
Practical implication: isolate unpatchable devices with micro-perimeters and treat segmentation as the primary compensating control.
How AI attack chains amplify lateral movement
AI-assisted attackers can compress reconnaissance, vulnerability chaining, and lateral movement into a short operational window. That does not change the attack primitives, but it changes the time available to notice and respond. In flat environments, each reachable asset becomes a potential stepping stone, and over-privileged service accounts make the path easier to traverse. Identity-aware segmentation narrows the reachable graph so that compromise of one node does not automatically open the next.
Practical implication: reduce reachable attack paths by restricting workload-to-workload communication and tightening non-human identity scope.
Threat narrative
Attacker objective: The objective is to move from one foothold to broader internal access quickly enough to expand the blast radius before defenders can contain the intrusion.
- Entry occurs when a compromised endpoint or vulnerable workload sits inside a broadly trusted flat segment and can talk to adjacent systems without meaningful isolation.
- Escalation and lateral movement follow when the attacker chains reachable services, over-privileged workloads, and weak segmentation boundaries into a faster path across the environment.
- Impact comes from broader containment failure, where one compromised node exposes additional systems, legacy devices, or critical services to the same intruder path.
Breaches seen in the wild
- AI LLM hijack breach: attackers used stolen AWS access keys to hijack Anthropic LLM models on Bedrock.
Read and download The State of NHI & AI Agent Breach Report 2026, covering 200+ breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Flat segmentation is now a governance failure, not just an architecture shortcut. The article shows that subnet-based thinking does not match how modern attack chains move through environments. Once workloads, service accounts, and devices are allowed to communicate too broadly, the control point shifts from perimeter placement to policy enforcement. Practitioners should treat containment as an access-governance problem, not a network housekeeping task.
Microsegmentation becomes more valuable as identity scope widens. When non-human identities can initiate service calls, reach internal systems, and carry elevated permissions, the blast radius is driven by who can talk to what. That makes workload identity and least-privilege enforcement inseparable from containment design. The practical conclusion is that network controls and identity controls now have to be governed together.
Unpatchable assets create permanent exception zones unless isolation is enforced. Legacy OT, IoT, and embedded devices do not fit a remediation-first model because their exposure outlasts patch cycles. This article correctly reframes them as isolation candidates, not simply vulnerable endpoints. Security leaders should assume the exception will become the norm unless micro-perimeters are in place.
AI attack chains sharpen the value of reachability reduction. The key issue is not that AI changes every exploit, but that it makes chained exploitation faster and more scalable. That reduces the time defenders have to detect weak containment and increases the importance of narrowing internal trust relationships in advance. Practitioners should plan for faster traversal, not just better detection.
Identity-aware containment is the right named concept for this problem. It captures the shift from static network zoning to communication policy based on workload identity, privilege, and behaviour. That concept aligns naturally with Zero Trust principles and with NHI governance where service accounts and machine credentials create the real trust boundary. Teams should evaluate whether their containment model follows identity or merely topology.
From our research library:
- 76% of organisations cite shadow AI as a definite or probable problem, up from 61% in 2025, according to HiddenLayer's 2026 AI Threat Landscape Report.
What this signals
Identity-aware containment is becoming the practical test of network maturity. Teams should stop measuring segmentation by how many VLANs they have and start measuring whether a compromised workload can still traverse the environment. Where service accounts and machine credentials exist, the real boundary is reachability, not address space.
AI-assisted attack chains compress traversal time, which means containment has to be in place before the first foothold is discovered. For practitioners, that shifts microsegmentation from a resilience project to a current-state control that limits the damage any one compromise can do.
For practitioners
- Define identity-aware containment zones Map workloads, service accounts, and devices to communication policies that limit who can reach what, even inside the same subnet.
- Isolate unpatchable assets first Create micro-perimeters around OT, IoT, and legacy systems that cannot be remediated quickly, and keep them out of broad trust zones.
- Reduce non-human identity reachability Review service accounts and machine credentials for unnecessary east-west access and remove paths that expand lateral movement options.
- Prioritise containment around internet-facing services Place external-facing microservices behind tighter enforcement so a single CVE does not become a full internal traversal route.
Key takeaways
- Flat network design gives attackers too much room to move once a foothold is established, especially when internal trust is based on subnet location rather than policy.
- The article ties the risk to unpatchable devices, over-privileged workloads, and AI-assisted chaining that can accelerate lateral movement across an environment.
- Identity-aware microsegmentation is the control that matters most here because it reduces reachability, limits blast radius, and makes one compromise less likely to become many.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
MITRE ATT&CK addresses the attack and risk surface, while NIST CSF 2.0, NIST SP 800-53 Rev 5 and CIS Controls v8 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| MITRE ATT&CK | TA0006; TA0008 — Credential Access; Lateral Movement | The article centres on chained intrusion paths and lateral movement across flat segments. |
| Recommendation — Map flat-segment traversal to TA0008 and harden controls that constrain lateral movement. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | Microsegmentation here is fundamentally about restricting who or what can communicate internally. |
| Recommendation — Use PR.AA-05 to enforce communication policy around workload and device entitlements. | ||
| NIST SP 800-53 Rev 5 | AC-6 — Least Privilege | Over-privileged workloads and broad east-west access are central risk factors in the article. |
| Recommendation — Apply AC-6 to remove unnecessary internal reachability from workloads and service accounts. | ||
| CIS Controls v8 | CIS-5 — Account Management | Service accounts and machine credentials expand the attack surface when not tightly governed. |
| Recommendation — Use CIS-5 to inventory and restrict accounts that can traverse internal network zones. | ||
Key terms
- Microsegmentation: A network control approach that divides environments into small security zones with explicit rules between them. Its purpose is to limit lateral movement and reduce blast radius when an identity, workload, or device is compromised.
- Lateral Movement: A post-compromise technique where an attacker uses a compromised NHI to move through a network, accessing additional systems and escalating impact without triggering detection.
- Identity-Aware Containment: Response actions that stop an email threat from becoming an access or fraud event. This includes investigation, mailbox controls, credential checks, and approval review, all coordinated around identity impact rather than inbox hygiene alone.
- East-west traffic: East-west traffic is communication that moves between systems inside an environment rather than entering or leaving it. In microsegmentation programmes, it is the traffic most likely to expose hidden trust assumptions and is therefore the main target for workload-level policy.
Deepen your knowledge
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Published by the NHIMG editorial team on July 10, 2026.
Updated on October 11, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org