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zarketo

AI-powered security engineering

Find the attack path.Fix the risk.Prove it's gone.

Zarketo helps security teams connect vulnerabilities, cloud infrastructure, identities, and application risks to understand potential attack paths, prioritize meaningful exposure, and make remediation decisions with greater confidence.

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Built for security and engineering teams.

Model
Relationship graph
Output
Reviewable fixes
Control
Human approval
INVESTIGATION / ZK-1042
Simulated investigation
Illustrative security scenarioPotentially critical attack pathConfidence: Illustrative

Select a node to inspect

edges 0/4 · hops 4

Node details

Choose any node in the path to view its asset type, example finding, potential risk and suggested next step.

  • Exposure detected— complete
  • Application relationship mapped— pending
  • Identity permissions reviewed— pending
  • Potential data access identified— pending
  • Remediation requires review— pending

The security context gap

One vulnerability.
Several connected risks.
One decision that matters.

A vulnerability rarely tells the entire story. Exposure, permissions, network reachability, application dependencies, and asset sensitivity determine whether a technical issue could lead to meaningful business impact.

Traditional fragmented workflow

4 open · 4 tools

  • Public application

    ASSET-0193 · source cspm

    no severity

  • Vulnerability finding

    VULN-7712 · source scanner

    High

  • Overprivileged identity

    IAM-0455 · source iam-audit

    Medium

  • Sensitive data resource

    DATA-0021 · source dlp

    Info

No relationship between items is recorded.

  1. Finding
  2. Alert
  3. Manual investigation

Connected security investigation

1 potential path
  1. Signal
  2. Context
  3. Potential attack path
  4. Prioritized action

Understand how risks connect before deciding what to fix first.

Not every vulnerability creates an exploitable path — context is what tells them apart.

The investigation workflow

From isolated signals to informed action.

A structured approach to understanding exposure, evaluating connected risk, and preparing remediation decisions.

    • payments-apiworkload
    • lb-public-01network
    • lib-parser@2.4.1dependency
    • runtime-roleidentity
    • customer-datastorage
    • billing-workerworkload

Inside the platform

Security context you can actually explore.

Explore an illustrative investigation from the initial exposure signal to a proposed remediation.

ZK-1042Simulated environment

Payment application attack path

Select a node, or use Tab and arrow keys, to inspect it.

Investigation steps

Run the simulated investigation to reveal each step of the example path.

The Zarketo platform

Understand the relationships behind security risk.

Five capability areas that the platform is designed around. They describe product direction; availability is discussed during evaluation.

CAPABILITY 01 — CLOUD SECURITY CONTEXT

Understand exposure across cloud infrastructure.

Bring infrastructure relationships, public exposure, workload context, and configuration findings into a clearer security investigation workflow.

  • Cloud asset relationships
  • Public exposure
  • Workload context
  • Configuration findings
  • Infrastructure dependencies
CLOUD / RESOURCE CONTEXTexample
ResourceTypeExposure
vpc-prodnetwork—
lb-public-01load balancerPublic
payments-apiworkloadPublic
billing-workerworkloadInternal
customer-datastoragePrivate

CAPABILITY 02 — APPLICATION SECURITY

Connect application findings to runtime context.

Explore how source-code findings, vulnerable dependencies, APIs, containers, and infrastructure configurations may relate to deployed applications.

  • Dependency risk
  • Source-code findings
  • API exposure
  • Container context
  • Infrastructure-as-code analysis
APPLICATION / CODE-TO-RUNTIMEexample
  1. Sourcesrc/handlers/upload.ts
  2. Dependencylib-parser@2.4.1Finding
  3. Imagepayments-api:1.18
  4. Runtimeprod / payments
  5. APIPOST /v1/receipts

CAPABILITY 03 — IDENTITY SECURITY

Understand effective access and potential blast radius.

Examine identity relationships, permissions, trust boundaries, and access to important resources.

  • IAM permissions
  • Service identities
  • Trust relationships
  • Privilege analysis
  • Sensitive resource access
IDENTITY / EFFECTIVE ACCESSexample
runtime-role
  • payments-receipts/*needed
  • customer-data/*not needed
  • audit-logs/*not needed
  • ml-features/*unknown

Blast radius (example): 3 storage locations beyond operational need

CAPABILITY 04 — ATTACK-PATH ANALYSIS

See how separate findings may connect.

Represent relationships between exposure, vulnerabilities, identities, workloads, and sensitive resources in an investigation graph.

  • Relationship mapping
  • Path exploration
  • Evidence association
  • Contextual prioritization
  • Investigation history

CAPABILITY 05 — REMEDIATION INTELLIGENCE

Move from finding a risk to evaluating a fix.

Prepare actionable remediation recommendations with supporting context and reviewable changes.

  • Proposed fixes
  • Configuration recommendations
  • Infrastructure-as-code suggestions
  • Permission-scoping guidance
  • Post-change reassessment
REMEDIATION / PROPOSAL QUEUEexample

  • RM-0311

    Scope runtime-role storage access

    Awaiting review

  • RM-0312

    Upgrade lib-parser to 2.4.3

    Proposed

  • RM-0309

    Restrict lb ingress to known paths

    Reassessed (sim)

Security investigation workspace

An investigation workflow designed for security engineers.

Explore how an AI-assisted security workflow could help organize findings, explain relationships, and prepare remediation recommendations for human review.

Illustrative activity feed

  1. 09:32

    Asset context collected

    12 example assets organized

  2. 09:33

    Application relationships mapped

    payments-api → lib-parser → runtime-role

  3. 09:34

    Identity permissions reviewed

    wildcard storage read flagged

  4. 09:35

    Potential sensitive resource access identified

    customer-data reachable in model

  5. 09:36

    Remediation recommendation prepared

    RM-0311 queued for human review

Investigation State
SIMULATION COMPLETE
Context Reviewed
Example relationships mapped
Evidence
Available in demonstration
Remediation
Awaiting simulated approval

A replay of a scripted scenario — not a real-time system.

Connected security context

Designed to fit into modern engineering workflows.

A security investigation becomes more useful when it can draw on the right context from the systems teams already use.

Explore Integration Approach

Cloud

  • AWS

    Planned

  • Microsoft Azure

    Planned

  • Google Cloud

    Planned

Development

  • GitHub

    Planned

  • GitLab

    Planned

  • Bitbucket

    Example workflow

Infrastructure

  • Terraform

    Planned

  • Kubernetes

    Planned

  • Docker

    Example workflow

Security

  • Cloud security findings

    Example workflow

  • Vulnerability scanners

    Example workflow

  • Security event sources

    Example workflow

Collaboration

  • Slack

    Example workflow

  • Issue tracking systems

    Example workflow

  • Developer workflows

    Example workflow

No integrations are available yet. Names identify the intended ecosystem; no partnership is implied.

Security by design

Clear boundaries.
Understandable decisions.
Human control.

Security tooling should make its decisions easier to examine, its proposed changes easier to review, and its operational boundaries easier to understand.

01Access control
Integrations should be configured with read-only, least-privilege access scoped to the context an investigation actually needs — and nothing that allows change by default.
02Human review
Sensitive remediation is designed to be presented as a proposal for approval before execution, with the owner of the change making the decision.
03Investigation evidence
Every recommendation should point back to the evidence and assumptions behind it, so reviewers can challenge the reasoning rather than trust a score.
04Auditability
Where the platform supports it, reviews, actions and outcomes are intended to be recorded so teams can reconstruct what was decided and why.
Explore Security and Trust
Conceptual architecture
  1. 01Data Sources
  2. 02Context and Relationships
  3. 03Investigation and Risk Analysis
  4. 04Human Review
  5. 05Approved Action
  6. 06Reassessment

Built around real security workflows

Give every security team better context.

Cloud security teams

See exposure and access as one picture.

Posture findings arrive per resource, while risk lives in how resources, network paths and roles combine.

Connect cloud exposure, workloads, identity permissions, and sensitive resources in one investigation.

  1. lb-public-01
  2. payments-api
  3. runtime-role
  4. customer-data
Read the cloud approach

Application security teams

Know which findings reach production.

Dependency and code findings pile up faster than teams can triage them without deployment context.

Understand how code findings and dependency risks relate to deployed applications.

  1. upload.ts
  2. lib-parser
  3. image:1.18
  4. prod
Read the application approach

DevSecOps teams

Bring context into the delivery workflow.

Security context often arrives after code ships, separated from the pipelines and IaC that could fix it.

Bring security context closer to infrastructure and software delivery workflows.

  1. PR #482
  2. terraform plan
  3. review
  4. merge
Read the devsecops approach

AI & platform engineering

Map new systems before they map you.

AI-enabled services add identities, tools and data flows that existing inventories do not describe.

Evaluate security relationships across applications, infrastructure, and AI-enabled workflows.

  1. agent
  2. tool: deploy
  3. svc-account
  4. vector-store
Read the ai approach

Engineering notes

Explore the thinking behind better security decisions.

All engineering notes →
Concept6 min read

Understanding Cloud Attack Paths

An attack path is a chain of conditions, not a single finding. Here is how to reason about entry points, pivots and targets in cloud environments.

Read note
Guide7 min read

Connecting Vulnerability Findings to Runtime Context

Severity scores describe a vulnerability in isolation. Runtime context — deployment, reachability, identity — describes what it means for you.

Read note
Concept6 min read

Evaluating Identity Permissions and Blast Radius

Effective access is what an identity can actually do once policies, boundaries and trust relationships are combined. That is the real blast radius.

Read note
Guide5 min read

Building Reviewable Security Remediation Workflows

Good remediation proposals show the change, the reasoning, the expected effect and the residual risk — and leave the decision with the owner.

Read note
Concept6 min read

Security Considerations for AI-Assisted Engineering

AI assistants and agents introduce new identities, new data flows and new ways for untrusted input to influence actions. Model them like any other system.

Read note

Frequently asked questions

Understand the approach.

Better context. Better security decisions.

Find the risks that matter.
Understand what to fix next.

Explore how connected security context could help your team investigate exposure, prioritize risk, and evaluate remediation.

Book a DemoExplore the Platform

Bring your security questions. Start with the workflow that matters most to your team.