Prepared for DeepSource Technologies

Proof your defenses actually work.

Every security tool produces alerts and reports — long lists of what might be wrong. None of them prove whether an attacker gets in, or whether a fix truly closed the hole. vExpertAI removes the hoping.

Proven, not recommended.

Before

“This attack was possible.”

red-team reached the crown jewels
After · signed

“It is now provably impossible.”

Proof-of-Resilience · Ed25519-signed · anyone can verify

What vExpertAI does

It safely proves a real attack path — then proves the fix.

An autonomous red-team attacks a safe replica of your environment — never the live systems — the way a real adversary would, then hands over a signed, tamper-proof certificate an auditor can independently verify.

STEP 01

Safely breach a digital twin

The red-team attacks a scoped, safe replica of your environment — chaining known vulnerabilities, web/app flaws, and misconfigurations. The live systems are never touched.

STEP 02

Prove exactly what is reachable

When it reaches the crown jewels — a database, a controller, financial records — it shows precisely what an attacker would obtain, proven by independent, un-fakeable evidence. Not a model's opinion.

STEP 03

Prove the fix — with a receipt

After containment, it re-runs the exact same attack to prove the path is closed, and produces a cryptographically-signed Proof-of-Resilience: “this attack was possible; it is now provably impossible.”

Minutesfull breach-to-proof cycle ~200 daysindustry average just to notice a breach

The engine

A self-improving adversarial loop — sharper every cycle.

One engine drives it. Cairn feeds your real, prioritized exposure to an AI red-team; it attacks your twin; an AI blue-team detects and fixes; and the loop repeats until the attack fails — then both sides learn from the outcome and come back stronger.

01 · Cairn

The exposure engine

Turns your environment into a prioritized feed of the CVEs that actually matter to you — exploitable, reachable, ranked (NVD · EPSS · KEV · exploit intel). Not undifferentiated scanner noise.

02 · Red LLM

Attacks the twin

Takes Cairn's live exploits and attacks your digital twin the way a real adversary would — chaining them into genuine, multi-step attack paths.

03 · Blue LLM

Detects & fixes

Catches the attack, proposes a remediation, and the fix is tested — never assumed. Deterministic gates and your people approve any real action.

04 · Closure

Re-attack until red fails

The exact attack re-runs until red can no longer get through. That is proven closure — captured as the signed Proof-of-Resilience.

And it compounds

Red and blue co-evolve — every cycle.

Every proven or failed attack is a verifiable reward — the same un-fakeable oracle that grades the breach also trains the models (RLVR). Red and blue retrain on it (GRPO) and come back sharper: a red team and a blue team that get measurably better, continuously.

↻ retrained on a daily cadence
The AI gets smarter; the decision gate stays deterministic. The models learn on attack and detection — never on the real-world action, which deterministic policy and your own people always gate. And the models, the data, and the learning never leave your boundary.

Why it is different

Proven, not recommended.

Every other tool
  • Recommends — “you might be vulnerable; here is a list.”
  • A report to interpret.
  • “Trust our dashboard.”
vExpertAI
  • Proves — “here is the breach, the fix, and the proof it is closed.”
  • A certificate anyone can verify.
  • Verify it yourself — even against us.

Built for sovereign & regulated environments

The safety invariant is enforced by code and cryptography — not asserted.

01 · Sovereignty

Runs on your own infrastructure

The data, the attacks, and the evidence stay inside your boundary. Designed as a sovereign appliance for air-gapped and government-adjacent deployments.

02 · No AI in the decision path

AI proposes; deterministic code decides

Consistent with the NCSC caveat that AI tools are themselves an attack surface, an AI is never permitted to make a real-world decision. Your people and deterministic policy decide.

03 · Two-person control

Cryptographic, dual-approval

Any action that could affect a real system requires two of your own staff to approve, cryptographically. No AI, and no vendor, can act alone.

04 · Verifiable evidence

Signed, tamper-evident, independently checkable

Every proof is verifiable with a public key alone — no need to trust vExpertAI. Alter a single character and verification fails.

This is the assurance argument a NESA / ISO 27001 / AI-RMF assessor expects — proof by construction, not by claim.

Deployment & delivery

Deployed your way — sovereignty intact in every model.

However you deploy, the platform runs inside your environment. You choose the form factor; we handle maintenance and updates.

Model 01

Source-available deploy

We ship the platform to run on your own infrastructure. Your team operates it; we provide support, maintenance, and updates.

Model 02

Bring your own GPU

Run it on your existing GPU capacity or a sovereign GPU provider of your choice — no compute dependency on us, and no data leaving your control.

Recommended Model 03 · Flagship

Sovereign appliance

We build a self-contained appliance — GPU plus the platform — that runs entirely in your environment, delivered and maintained by us with ongoing updates.

In every model, the data, the attacks, and the evidence stay inside your boundary — nothing leaves.

From our conversation

Your questions, answered.

The specifics you raised — engagement model, onboarding, commercials, and design — in one place.

Q1

Will you work forward-deployed, assigned to our customers' projects?

Yes — and here's how it works. I deploy on-site personally as your forward-deployed engineer — scoping, standing up the twin, running the validation, and delivering the signed proof alongside your team. Between on-site work I return to base, where my core team of data scientists and ML engineers (expanding now with US-based specialists) drives the modelling, evidence, and updates. You get the principal on the ground, and a specialist team behind him.

Q2

How does onboarding & asset discovery work?

Today we scope each engagement precisely with the customer — nothing runs without explicit, signed authorization (a deliberate sovereign control, not a limitation). Inventory (CSV) import and, on the roadmap, automated asset discovery, make this progressively lighter-touch.

Q3

What is the commercial model?

Licensed by the number of devices/assets under validation, tiered by environment size, with the baseline established via an initial paid pilot. An optional forward-deployed / managed-validation services line is available.

Q4

Can we collaborate on the product UI?

Gladly. Thank you for the feedback on app.vexpertai.com — if you have design people on your side, we'd welcome collaborating on the interface directly.


Who delivers it

A hands-on architect who embeds with your teams.

Eduard Dulharu
Founder & CTO · vExpertAI

20+ years executing — not just advising on — mission-critical network and security projects for global banks, enterprises, and defense organisations. Built for forward-deployed, customer-embedded delivery.

MSc IT Security · Military Technical Academy, Bucharest
NATO defense-comms & missile-defense discipline
CCIE / CCDE (written) · CEH
Anthropic Claude Partner · NVIDIA Inception

How we engage — on-site principal, home team

  • I deploy on-site personally as your forward-deployed engineer — scoping, standing up the digital twin, and running the validation with your team.
  • Back at base, a core team of data scientists and ML engineers drives the AI, the evidence, and the ongoing updates — now expanding with US-based specialists.
  • You get the principal on the ground, and a specialist team behind every engagement.

Delivers end-to-end, embedded

  • Primary technical liaison for a leading European bank — customer-facing, accountable for delivery.
  • Real projects executed: firewall migrations (Juniper SRX → Palo Alto; Fortinet; Cisco ASA → ACI), DC migrations, SD-WAN / SD-Access, micro-segmentation — full HLD/LLD and roadmaps.
  • Delivered under DORA, BAFIN, ISO 27001 — transferable to sovereign / NESA frameworks.

Enables your team, not just the tool

  • Custom AI training — C-level workshops, hands-on labs; a 6-week AI Mentorship Program for CTOs.
  • Authored 2,500+ pages of original AI training content.

Builds & ships the technology himself

  • Designs, fine-tunes, and ships autonomous multi-agent AI end-to-end — live-demoed on the Cisco DevNet Podcast and at AutoCon5 Munich 2026.

The next step

A scoped, paid Proof-of-Resilience pilot on one high-value environment.

A signed before/after proof in weeks — not a promise. We'll define the target and scope together in a working session.

Eduard Dulharu · Founder & CTO · ed@vexpertai.com · +49 173 753 6957 · vexpertai.com