ZTPAZeroTrust Policy Advisor
ZeroTrust Policy Advisor

What's the one risk that crosses every tool, the one no single console can see?

ZTPA unifies every network-policy tool you run (firewall, segmentation and cloud) into one policy model, one reachability map, and one worst-first to-do list, then explains, prioritizes and gates every change with an agentic advisory layer.

The pain

Four consoles. Four mental models. One blind spot.

Every tool sees its own slice. The one risk that matters most, an attack path that crosses all of them, is invisible to every single tool you own.

AlgoSec
Firewall rules
Sees the perimeter. Blind to cloud and east-west.
Guardicore
Segmentation
Sees east-west. Blind to the edge and the cloud.
Wiz
Cloud posture
Sees the cloud. Blind to on-prem enforcement.
Tickets & tribal knowledge
The rest
Lives in spreadsheets and people's heads.
The risk lives in the gaps between them.

One map. One model. One path you couldn't see before.

Simulated exports
AlgoSec
Guardicore
Wiz
+ any source
Normalize · resolve identity · build graph
Unified reachability graph
WizWizGuardicoreAlgoSec
Internet
lb-public-01
app-server-07= appsrv-07 · merged
internal-app
db-prod-01PCI · customer data
Critical · force-flagged
A public load balancer reaches the customer database through a chain that crosses three tools: Internet → lb-public-01 → app-server-07 → internal-app → db-prod-01. Nothing you own would have shown you this.
Why it's even visible
Wiz calls that server appsrv-07; the identity layer merged it with AlgoSec's app-server-07 by attribute. That deterministic merge is the only reason the path connects at all.
The advisory layer

Eight ways the AI advises, never computes.

The engine owns every fact and every number. The model only explains, ranks, classifies and drafts, grounded in the engine's structured results.

01agentic
Change-request triage
Auto-approve vs escalate. Guardrailed and fail-closed.
02agentic
Ask your network
Plain English in, computed facts out. Tool-calling over the engine.
03language
Plain-English findings
Every finding explained, grounded in the rule references.
04judgment
Worst-first ranking
Root-cause grouping collapses noise into a handful of actions.
05re-simulated
Fix-as-code
The model drafts; the engine re-simulates to prove it resolves.
06language
Posture report
Executive, PCI-DSS and Zero-Trust summaries from the findings.
07extraction
Change intake
Free text becomes a structured, evaluable rule.
08embeddings
Identity suggestions
Surfaces likely duplicates for review, never auto-merges.
The change gate

It judges the computed delta, not the requester's words.

Pick a change request. The engine simulates it and the gate decides. The model can only auto-approve inside an already-safe envelope. It can never raise the risk tolerance, even under prompt injection.

AUTO-APPROVEAll four criteria green · opens nothing new
Opens no new reachability
Stays inside an already-allowed envelope
No path to PCI / customer data
Within the guardrail floor

The engine owns the facts. The AI owns the words and the judgment.

Deterministic engine
Facts & math
Normalization & identity resolution
CIDR / subnet math & reachability
Shadowing & effective policy
The delta of any proposed change
AI advisory layer
Language & judgment
Explaining findings in plain English
Ranking, grouping & classifying
Drafting fixes & posture reports
Calling tools, never computing math

It advises today, and it earns the right to act gradually. Every decision logged and auditable.

See the path no console could show you.

Log in to walk the unified map, the ranked to-do list, and the change gate.

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