On-prem vulnerability scanner and investigation platform

GreySentinel

Find vulnerabilities. Verify real risk. Fix what matters.

GreySentinel discovers your assets, runs controlled security scans and uses AI to correlate the evidence. Your team sees what is exposed, why it matters and what to fix first.

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Discover networks and hosts
Validate real vulnerabilities
Track remediation

One platform to discover assets, scan vulnerabilities, investigate evidence and verify fixes.

Asset discovery Vulnerability scanning AI-assisted investigation

On-prem vulnerability management

See what is exposed, what is truly vulnerable and what to fix first.

GreySentinel connects assets, scanner findings, authenticated checks and investigation evidence in one place, then turns them into a prioritized remediation plan.

Security assessment

Production perimeter

192.168.40.0/24 · 24 assets · 3 engines

Risk score72Elevated

3Critical 9High 24Medium 18Low 31Info

Prioritized findings95 findings

Remote administration exposureSSH · CVE correlation · 3 assets

Critical

Outdated container runtimeAuthenticated package evidence · 5 assets

High

Weak TLS configurationService evidence · 8 assets

Medium

Management service disclosureNetwork evidence · 2 assets

Low

A repeatable security workflow

Scan. Investigate. Prove.

Every action is scoped, every observation is retained, and every remediation can be checked against the same paths an autonomous agent would probe.

Discover

Build the asset inventory across local and remote networks with controlled scanner engines.

Correlate

Consolidate duplicate findings, package evidence and affected infrastructure.

Investigate

Let the agent use declared tools to test hypotheses against stored evidence.

Verify

Replay the scope and demonstrate what changed after remediation.

Deployment requirements

Size the platform for your perimeter, not for a fixed appliance.

Asset discovery, scanner execution and evidence storage do not require a GPU. GPU capacity only matters when the investigation model runs locally.

Scans and evidenceFirst production perimeter

Compute: 4 vCPU
Memory: 8 GB RAM
Storage: 50 GB SSD
GPU: Not required

Run engines from a designated execution host when a network is remote or segmented.

Remote AITeam deployment

Compute: 4-8 vCPU
Memory: 16 GB RAM
Storage: 100 GB SSD
GPU: Not required

Use a controlled remote model endpoint while keeping scanners and evidence in your environment.

Local AIMinimum useful model

Model: 7-8B quantized
GPU memory: 12 GB VRAM
System memory: 32 GB RAM
Recommended: 14B / 24 GB VRAM

Use 64 GB RAM for deeper investigations, longer context and parallel operator activity.

Scale scanner execution points separately for larger or concurrent scopes. Storage requirements depend on scan frequency, report retention and the volume of retained technical evidence.

Controlled defensive agents

Use AI to investigate without creating another attack path.

GreySentinel does not give a model unrestricted access to your infrastructure. Connectors, credentials, tools and execution modes remain under operator control while the agent correlates evidence and tests hypotheses.

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Declared tools

The agent selects from explicit capabilities instead of inventing hidden commands.

On-prem evidence

Assets, findings, timelines and execution results remain connected in your workspace.

Auditable actions

Long-running tasks, approvals and remediation checks retain their operational history.

Security outcomes

A focused path for every security decision.

Explore the deployment model, the vulnerability management workflow and the defensive case for infrastructure teams facing faster automated attacks.

For CISOs and executives

AI vulnerability management

Turn scanner findings into prioritized, evidence-backed remediation.

For infrastructure teams

On-prem vulnerability scanner

Orchestrate controlled engines across local, remote and segmented networks.

For security strategy

AI agent security

Reduce the attack paths autonomous offensive tools can chain at machine speed.

Investor relations

Backing the defensive layer for machine-speed attacks.

GreySentinel is being built for infrastructure teams that must discover, validate and remediate exposure before autonomous offensive tooling can chain it into an attack path.

A structural shift

Autonomous security tooling compresses reconnaissance, correlation and exploitation. Defensive teams need the same speed with stronger controls and evidence.

A product foundation

An on-prem asset graph, multi-engine scanning, authenticated evidence, persistent agent workflows and reproducible security reports.

Investment focus

Product hardening, enterprise integrations, design-partner deployments and a focused European go-to-market.

Strategic investors and industry partners

Open a confidential conversation.

Request the investor brief to discuss the product, roadmap, deployment model and partnership opportunities directly with Unix Consulting.

Read the investment thesis

AI agent security FAQ

Built for the shift from automated scans to autonomous attacks.

What is AI agent security?

AI agent security reduces the infrastructure exposure, weak configurations and attack paths that autonomous tools can discover and exploit at machine speed.

Does GreySentinel identify whether an attacker is an AI agent?

No. GreySentinel does not rely on uncertain attacker attribution. It discovers and verifies exploitable paths that matter whether they are used by a human operator, an automated scanner or an autonomous AI agent.

Can GreySentinel run on-premises?

Yes. GreySentinel is designed for on-prem deployment with controlled connectors, credentials, scanner engines and investigation tools.

Free initial review

Find the first paths an automated attacker would test.

Leave your work email. Unix Consulting will contact you to scope a concise initial exposure review and identify a concrete next step.

No automated sales sequence
A concrete exposure review
Direct contact from Unix Consulting