The AI Orchestration Platform for Cyber Exposure

Discover exposure. Prove exploitability. Quantify business risk.

Sakeon unifies CTEM, Adversarial Exposure Validation and Cyber Risk Quantification with an AI orchestration layer that turns security evidence into prioritized, human-gated action.

CTEMAEVCRQAI ORCHESTRATION
Self-hostedHuman-gated AIExploit-validatedContinuous re-validation
Sakeon Exposure OverviewLIVE MODEL
Assets4,218+6.4%
Exposures12,684−14.2%
Validated paths479 critical
Risk at stake$18.4Mestimated
Critical attack pathCRITICAL
Internet
Web server
CVE exposure
Application
privilege escalation
Customer DB
critical asset
Validated path · 4 hops · 1 exploitable entry point
Exposure priorityThis week
Internet-facing88
Identity72
Cloud61
OT / IoT44
AI analysis 3 findings collapsed into one actionable exposure.
From visibilityto evidence
From CVSSto validated exploitability
From findingsto business risk
From toolsto one operating model
The SAKEON closed loop

Discover → Correlate → Validate → Quantify → Orchestrate → Re-validate.

One security data model connects exposure discovery, attack-path reasoning, adversarial validation, business risk and human-gated remediation. Every material change can be re-validated against the live environment.

01
D

Discover

Find assets and exposures across network, external surface, cloud, web, API, containers and identity.

Scope gaps surfaced
02
C

Correlate

Connect findings, assets, identities and blast radius in a shared exposure graph.

Attack paths become visible
03
V

Validate

Use controlled adversarial simulation and exploit validation to prove real exposure.

AEV evidence updates risk
04
Q

Quantify

Translate validated exposure into business and financial risk with traceable evidence.

CRQ connects risk to impact
05
O

Orchestrate

AI drafts and prioritizes remediation while humans approve actions that change the environment.

Then re-validate continuously
CTEMContinuous exposure management
AEVAdversarial Exposure Validation
CRQCyber Risk Quantification
Continuous closed-loop re-validationRemediation is not considered complete until the exposure is proven closed.
Attack-path intelligence

This is what a vulnerability scanner doesn't show.

Instead of treating every finding as an isolated ticket, Sakeon connects assets, vulnerabilities, identities and business context into an attack-path model.

  • Internet exposure → vulnerable service
  • Vulnerability → privilege escalation
  • Privilege → lateral movement
  • Lateral movement → critical asset
Explore the attack-path model →
VALIDATED ATTACK PATH
INTERNET
WEB / 443
APP SERVER
Privilege escalation
CUSTOMER DATA
Critical asset
Exploit path validated
AI orchestration

AI as the security decision-support layer.

Deterministic security engines establish the facts. Sakeon's AI layer explains, correlates, recommends and routes decisions across the exposure lifecycle. Human approval remains required for actions that modify the environment.

01

Correlates

Fuses scanner findings, identity context, attack paths and blast radius into one decision picture.

02

Routes

Supports a pluggable multi-provider AI layer, with Ollama on-prem by default.

03

Explains

Turns technical exposure and attack paths into plain-English, audit-ready reasoning.

04

Recommends

Drafts prioritized remediation steps tied to the evidence and likely attack impact.

05

Adapts

Feeds re-validation results back into the exposure state as the environment changes.

06

Audits

Logs AI inputs, outputs, model and review status for a traceable decision trail.

HUMAN APPROVAL GATEAI can explain and recommend. Environment-changing actions require explicit human approval.
Three native engines

CTEM + AEV + CRQ. One operating model.

SAKEON connects exposure management, proof of exploitability and financial risk in the same security context.

Cyber risk quantification

From technical exposure to financial risk.

CRQ uses validated exposure, likelihood signals and business context to support risk acceptance, remediation investment and executive decisions.

01FindingTechnical exposure is discovered.
02ValidationExploitability evidence strengthens or reduces confidence.
03Business contextAsset criticality and exposure breadth shape the scenario.
04Financial riskLeadership gets a traceable basis for decisions.
Built for the environments that matter

One exposure model across your attack surface.

Extend the same security context across vulnerability management, ASM, BAS, cloud, containers, web/API, OT/IoT and AI/LLM security.

YOUR ENVIRONMENT
Sakeon Control PlaneExposure graphAI orchestrationCRQReporting
NO REQUIRED DATA EGRESSDeploy in your cloud, private cloud or on-premises infrastructure.
Sovereign by design

Your security data stays yours.

For government, banking, healthcare and critical infrastructure, deployment architecture is part of the security decision. SAKEON runs on infrastructure you control, with on-prem AI inference, no required vendor-cloud dependency and a full AI audit trail.

Self-hostedPrivate cloudOn-premisesOllama-based AIHuman-gatedAudited
For security service providers

Turn cyber exposure management into a repeatable service.

Multi-tenant client environments, distributed scanner operations, validation and consolidated reporting give MSSPs a platform they can operationalize across accounts.

Explore MSSP delivery
See the platform in context

From findings to proof. From proof to business risk. From risk to action.

See how SAKEON discovers exposure, proves exploitability, quantifies impact and orchestrates human-approved remediation in one continuously validated loop.

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