AkulaOneby Megalodon
AI · governed by design

AI that does the paperwork.
Humans who do the judgment.

Every module in Akula One ships with AI capabilities that remove analyst toil — and every one of them runs under hard scope, full audit, and human approval where it matters.

85%Tickets pre-classified by AI
0Manual MITRE mapping — TTPs auto-tagged
1→nOne signal becomes context in every module
NoCustomer data used for model training
Where it works

Augmentation, module by module.

AI-01

Correlation · ak-vuln

Cross-vulnerability correlation collapses thousands of raw scanner findings into root causes; deduplication across network, web and container output means one finding becomes one ticket, once.

AI-02

Auto-triage · ak-secops

Severity, asset criticality and blast-radius scoring on every inbound ticket, with suggested playbooks drawn from similar past tickets in your own corpus.

AI-03

Narrative reporting · everywhere

Every ticket and every pentest engagement gets an executive-readable narrative on demand — the report writes itself from the evidence, not the other way around.

AI-04

Signal extraction · ak-intel + ak-darkweb

NLP entity extraction over Tor pastes, Telegram channels and breach databases; IOC normalization and actor clustering turn noise into structured, attached context.

AI-05

Agentic pentest · ak-vuln

An autonomous agent runs assessment jobs against an attested scope, narrates findings as it goes, and lands results in the same dashboard as every other finding.

Agentic pentest · how scope is enforced

Autonomy with a leash.

The pentest agent cannot act outside what you attest. Scope is cryptographically verified before a single packet moves.

01

Define scope

Targets and deny-list, declared in the UI.

02

Attest ownership

DNS-TXT attestation proves you control the scope.

03

Agent runs

Assessment jobs execute live, inside the boundary.

04

AI narrates

Findings are written up as they land.

05

One dashboard

Results join every other finding in ak-vuln.

Isolation

Per-case sandbox

One isolated job per investigation — created for the case, destroyed after it. Never a shared, ungoverned chat box.

Scope

Hard boundaries

One subject, one time window, read-only access. The boundary is enforced by the runtime, not by a prompt.

Approval

Two-approver gate

Sensitive investigations require two human approvals — and one of the approvers must be Legal.

Audit

Recorded end to end

Full session recording with hashed artifacts. Every step the AI takes is replayable evidence.

// privacy posture — frontier AI via API only · no model training on customer data · no shared embeddings · no cross-tenant prompt leakage · AI can be disabled per tenant for regulated workloads.

See the AI work on a live tenant.

The sandbox demo includes live AKL queries, AI triage and a scoped agent run on sample data.