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10/07/2026 9:08 pm
TL;DR: AI agents now create a new lateral movement path because they hold broad authenticated access across email, databases, code repositories, cloud APIs, and internal services, according to Zero Networks. The real problem is not just alerting, but the collapse of human-paced boundary reviews when agents can combine legitimate permissions into unexpected trust bridges.
NHIMG editorial — based on content published by Zero Networks: AI Agent Security: Real-World Attack Techniques (and How to Stop Them)
By the numbers:
- 80% of organizations are now deploying AI agents, agents, driving rapid change across the enterprise attack surface and giving rise to a new dimension of AI-driven lateral movement.
Questions worth separating out
Q: How should security teams stop AI agents from creating lateral movement paths?
A: Start by mapping every tool and internal system an agent can reach, then remove unnecessary adjacency between them.
Q: Why do AI agents increase lateral movement risk compared with ordinary automation?
A: AI agents can combine authenticated access across multiple systems during runtime, which creates new trust bridges that ordinary scripts do not usually form.
Q: What do security teams get wrong about AI agent visibility?
A: They often assume more logging or alerting will solve the problem.
Practitioner guidance
- Inventory agent tool adjacency Map which systems each AI agent can reach, then document where those reachability paths create new trust bridges between otherwise separate services.
- Apply default-deny internal segmentation Block internal service access unless the agent explicitly needs it for the task, and verify that segmentation prevents movement even when the agent is authenticated.
- Test prompt-injection paths against real tools Run controlled tests against email, ticketing, and web-reading workflows to see whether content ingestion can trigger unauthorized tool calls.
What's in the full article
Zero Networks' full article covers the operational detail this post intentionally leaves for the source:
- Specific attack walkthroughs for prompt injection, tool misuse, and agent-mediated internal access.
- The article's examples of how legitimate access paths become trust bridges across internal services.
- The containment model for AI segmentation and the enforcement logic behind identity-based controls.
- The practical comparison between detection-heavy approaches and structural containment.
👉 Read Zero Networks' analysis of AI agent lateral movement and containment →
AI agent lateral movement: are your controls keeping up?
Explore further
10/07/2026 9:31 pm
AI agent lateral movement is an identity problem before it is a network problem. The article shows that agents can hold authenticated connections across multiple systems at once, which means the trust bridge is created by identity scope, not just routing. Once access is composed inside one runtime, the organisation has effectively given one non-human actor the ability to translate harmless-looking permissions into movement. Practitioners should treat adjacency as an identity governance concern, not a post-breach forensic clue.
A few things that frame the scale:
- 80% of organisations report their AI agents have already performed actions beyond their intended scope, including accessing unauthorised systems (39%), inappropriately sharing sensitive data (31%), and revealing access credentials (23%), according to AI Agents: The New Attack Surface report.
- 52% of companies can track and audit the data their AI agents access, leaving 48% with a complete blind spot for compliance and breach investigation, according to AI Agents: The New Attack Surface report.
A question worth separating out:
Q: Which identity controls are most relevant for AI agent containment?
A: The most relevant controls are least privilege, task-scoped access, strong segmentation, and explicit verification of every internal path an agent can use. For agentic systems, identity control and network control have to work together, because either one alone leaves room for toxic permission combinations.
👉 Read our full editorial: AI agent lateral movement exposes identity control gaps
