AkulaOneby Megalodon
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Platform · architecture

One operating layer.
Ten modules. Zero tool-switching.

Every module is orchestrated through ak-portal SSO, shares one tenant model, and feeds the same AI fabric — so a signal in one module becomes context in all of them.

Module inventory

The ten modules.

Licensed individually or as bundles. All of them arrive pre-integrated — no connectors to buy, no sync jobs to babysit.

Module inventory10 records · licensed individually or bundled
M01Portalak-portalOAuth2 SSO, tenant model and module registry — one login in front of everything.Identity & SSO
M02Vulnak-vulnAI-correlated scanning, MITRE ATT&CK mapping and agentic pentest — discovery to verified close.Vulnerability Management
M03SecOpsak-secopsAuto-triage, narrative tickets, cross-incident correlation and SLA tracking.AI-Augmented SOC
M04Intelak-intelIOCs, actors and campaigns aggregated live and auto-attached to your tickets.Threat Intelligence
M05Darkwebak-darkwebTor, paste sites and breach databases distilled into structured signal by an NLP pipeline.Dark Web Monitoring
M06Insiderak-insiderScoped investigations with a two-approver gate and sandboxed, fully audited AI.Insider Threat
M07Awareak-awareCourse library, phishing simulations and completion evidence your auditor accepts.Awareness Training
M08GRCak-grcRisk register, framework mapping and control gap analysis — continuously evidenced.Governance & Compliance
M09Connectorsak-connectorsTicketing sync plus scanner, SIEM and EDR adapters — plug in the stack you already run.Integration Hub
M10Archak-archReference designs, control mapping and an architecture library for your environment.Security Architecture
Akula Core — identity, tenancy and events under every module
oauth2 ssotenant-scoped eventsai fabric
Flagship module · ak-vuln

Vulnerability management,
discovery to verified close.

A curated multi-engine scanner library is included and operated for you — you don’t license, integrate or run scanners yourself. AI turns their raw output into an action-ready queue.

Scanner library · included

Coverage

  • Network & host — CVE detection across the fleet
  • Web app DAST — OWASP Top 10, crawl & fuzz
  • Asset discovery — service, port, banner enumeration
  • TLS hygiene — cert, cipher and protocol checks
  • API fuzzing — endpoint discovery, auth-flaw probing
  • Container CVEs — image SBOM and advisory correlation
AI-augmented scanning

Intelligence

  • Cross-vuln correlation — “these 12 findings share one root cause”
  • Auto-deduplication across scanner outputs — one finding, one ticket
  • MITRE ATT&CK mapping — TTPs auto-tagged per vulnerability
  • Agentic pentest — autonomous, scope-attested
  • AI pentest reports — a full engagement narrative from raw findings
End-to-end lifecycle

Workflow

  • Discovery — bundled scans, BYOL, manual import, agent
  • Triage — AKL search, severity filters, AI correlation
  • Assignment — auto-routed to ak-secops tickets
  • Remediation — tracking, retest workflow, evidence capture
  • Verification — rescan-on-close, full history audit trail
akl — one query, every surface parses to AST · compiles to parameterized SQL
akl> severity:critical AND status:open AND NOT tag:"accepted-risk"
the same string drives lists, dashboards, exports and alertsak-vuln · ak-secops
SOC stack · secops × intel × darkweb

Three modules, one workflow:
context arrives with the alert.

ak-darkweb

Signal collection

Tor paste sites, Telegram channels, breach databases and ransomware leak sites, distilled by an NLP pipeline into normalized, severity-scored entities.

ak-intel

Threat intelligence

IOCs, actors and campaigns aggregated from curated feeds and the dark-web pipeline — polled continuously, deduplicated, and matched against your environment.

ak-secops

Auto-enriched SOC

Tickets arrive pre-classified with severity, blast radius and matching IOCs attached, plus an AI narrative your executives can actually read.

// data flow — dark web → intel → SOC ticket → one analyst, full context, every alert

Engineering · rust-first

Built like infrastructure,
because it is.

Akula One is a single Rust codebase, server-rendered, orchestrated on lightweight Kubernetes — engineered for the compliance-driven sectors it serves.

100%Rust codebaseMemory safe · no GC pauses
0Node / npm packagesNo supply-chain noise in the product
SSRServer-side renderedFast on any hardware, any network
K8sContainer orchestrationIsolated namespaces · ephemeral scanner jobs
Security postureHow it’s enforced
Tenant isolationTenant identity enforced at the database query layer in every module — dedicated database and namespace per customer.
SQL injectionCompile-time checked queries; AKL compiles to parameterized SQL only.
XSS / CSRFAuto-escaping server templates; double-submit cookies with SameSite.
Data at restPer-tenant PostgreSQL, encrypted at rest, in the Megalodon Cloud.
OperationsRun 24/7 by the Megalodon SOC — ethical-hacker-operated, SLA-backed.

See it on your data.

A guided walkthrough with the team that built it — and runs it.

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