Autonomy that proves it.

Yegg is a swarm of offensive agents under human command. It maps like a machine, chains like a burglar, and reports like an operator — continuously, inside written rules of engagement.

01 — Pipeline

From surface to signed proof.

Map

Agents enumerate your external surface the way an intruder would — certificate transparency, DNS permutations, cloud buckets, forgotten review apps, shadow IT. The map refreshes continuously, not annually.

Probe

Every asset gets fingerprinted and tested for weakness classes: auth flows, injection, misconfiguration, leaked secrets, stale integrations. Probes honor rate limits and scope boundaries written into your engagement.

Chain

Single weaknesses rarely matter. Yegg chains them — an exposed CI variable into cloud keys into a production role — and walks the chain end-to-end until impact is demonstrated.

Prove

A finding ships with a working exploit path, evidence captures, and a replayable reproduction. If it can't be demonstrated, it doesn't ship. When you fix it, the original path re-runs to verify.

02 — Live surface

What the swarm sees.

Every engagement runs dozens of agents in parallel — recon, probing, chaining, reporting — all steered by a duty operator and bounded by your rules of engagement.

swarm feed — simulated · engagement #1847

Real telemetry lives in your dashboard during an engagement. The feed above is a simulation of the agent vocabulary.

03 — Coverage

Built for the whole estate.

external

Attack surface

Domains, subdomains, IP ranges, cloud assets, SaaS tenants, exposed panels — discovered and re-discovered as your footprint changes.

appsec

Web & API

Auth logic, injection, access control, business-logic abuse, GraphQL, gRPC, and the endpoints your docs forgot.

cloud

Cloud & IAM

Role chains, policy misconfig, public exposure, metadata endpoints — the paths that turn one foot in the door into the keys.

cicd

CI/CD & supply chain

Runners, secrets, artifact registries, signed pipelines — where modern intrusions actually start.

ai

AI systems

Prompt injection, agent tool abuse, model-boundary attacks. We attack AI the way we attack everything else: for real.

human

Operators

Senior humans steer, chain the weird stuff, and sign every report. Autonomy for breadth — judgment for depth.

04 — By the numbers
assets mapped per engagement, median
of findings delivered with working proof
median time to first proven path
false positives shipped to clients
05 — Deploy

Live inside a week.

Send us a domain and a signed scope. The swarm maps the surface within 48 hours; a senior operator reviews the first findings inside five business days. Continuous coverage from there — or a bounded engagement if you prefer.

Start an engagement →

06 — FAQ

No. Scanners match signatures and report possibilities; the swarm builds demonstrated attack paths and an operator signs them. A finding without a working chain doesn't ship — that single rule is the difference between a pentest and a scan.

Destructive action classes are disabled at the agent layer — not discouraged, disabled. Out-of-scope assets are hard-blocked, rate limits are honored, and a 15-minute kill switch is live 24/7. The rules of engagement spell out every guardrail in writing.

Yes — engagements produce the artifacts auditors ask for: signed reports, scoped rules of engagement, evidence captures, and retest records. Continuous coverage means you're never "between tests" when the auditor asks when you last ran one.

The category converged in 2026 — everyone claims autonomy. Our edges: proof-over-prediction (nothing ships undemonstrated), the operator-signs-everything model, and a swarm built to chain, not just enumerate. We publish tradecraft so you can judge the work instead of the deck.

Engagements price by scope and cadence — a bounded test or standing coverage. Continuous pricing is monthly; bounded tests are fixed-bid. Send a domain and we return a scoped quote in one business day.