Cisco AI Defense vs Zenity (2026): AI Security Compared — and Where Kosmoy Fits

Three shapes on the same ten axes. Cisco AI Defense (orange) and Zenity (violet) both peak on Security and Guardrails. Cisco leads on Testing & Red-teaming (the Robust Intelligence engine) and edges Agent Containment on the strength of its OpenShell sandbox; Zenity leads on AI Inventory (agent-native discovery) and inline business-platform enforcement. Both sit low on FinOps, Compliance evidence and Deployment Sovereignty. Kosmoy (blue) spans a wider web — gateway, compliance evidence, sovereignty and, decisively, kernel-enforced Agent Containment. Read it as area: the two security tools own detection and validation; the suite adds contained execution.

Estate-wide, network-fused enforcement. Cisco enforces in Secure Access SSE and Hypershield across custom AI apps, MCP traffic and unsanctioned workloads without app code changes — coverage beyond the business-platform copilots Zenity centers on.

Model validation and red teaming. Robust Intelligence heritage gives Cisco automated, multi-turn, multilingual algorithmic red teaming continuously updated by threat research — a productized capability Zenity's buildtime posture assessment does not match.

Documented agent sandboxing. DefenseClaw's OpenShell isolates an agent's network, filesystem and syscalls with admission control on skills and MCP servers — real sandboxing, though scoped to the OpenClaw runtime.

Purpose-built agent depth on business platforms. Inline, step-level prevention inside Copilot Studio (GA Nov 2025) and Foundry (preview) goes deeper than network-level policy for those platforms, across the broadest documented copilot and low-code coverage.

Agent-native discovery. Zenity inventories agents, tools, knowledge sources, MCPs, automations and triggers as first-class objects — an agent-specific catalog that does not require the broader Cisco stack to light up.

Focus and standing. A dedicated agent-security platform Gartner named 'Company to Beat', deployable for a copilot rollout without adopting a network-security portfolio.

Cisco AI Defense and Zenity approach agent security from opposite ends — Cisco as a network-security giant enforcing across the estate, Zenity as a focused specialist embedded in business-platform agents. Both discover agents, and both can act: Cisco can sandbox an OpenClaw agent and block MCP calls in-path; Zenity can quarantine an agent, revoke its permissions or block a step. But Cisco's sandbox is scoped to one runtime, and Zenity's response is quarantine and blocking, not isolated execution. Neither holds an arbitrary enterprise agent inside a runtime it cannot escape — and both run a SaaS control plane.

Kosmoy starts from containment. Every agent runs inside an Action Capsule: a kernel-enforced sandbox whose only egress is its paired gateway, with per-task credentials and a live kill switch, so a hijacked agent cannot reach anything you did not allow — for any agent, not one vendor's runtime. Around it sit the layers a security tool leaves out: a risk-tiered inventory with a master agent registry (Foundry, Bedrock, Vertex, Salesforce, ServiceNow) and EU AI Act, ISO 42001 (aligned) and NIST AI RMF evidence generated from registry state and gateway logs.

The honest framing: Cisco out-red-teams Kosmoy and ships a real (if scoped) sandbox; Zenity out-discovers it on business-platform agents. Detection, validation and inline response are spokes. If the requirement is to contain any agent by default and prove control over all your AI in your own infrastructure — including air-gapped, as Kosmoy runs for Banca d'Italia (Italy's central bank and banking regulator) and Leonardo (Europe's largest defence and aerospace group) — that is a suite and sovereignty decision, not a security-tool decision.

For a team whose problem is agent security, pick on scope: Cisco AI Defense to enforce across the whole estate in network infrastructure you own, with model validation and the OpenShell sandbox; Zenity for the deepest inline coverage of Microsoft copilots and low-code agents. Both are strong within their scope, and either can run alongside Kosmoy.

For an enterprise that must contain agents in isolated runtimes and own the control plane, the choice is between a detection-and-validation layer — however large the vendor — and a control plane. Many teams run both: a security platform for red teaming and threat research, Kosmoy for contained execution, inventory and compliance evidence on their own infrastructure.