ASPM · Live

Application Security
Posture Management,
unified and AI-driven.

DAST, SAST, SCA, containers, IaC and secrets in one fingerprint-deduplicated posture. A local-LLM engine proves what's exploitable, ranks it by real risk, and writes the fix — fully offline.

6
scanner engines
9000+
Nuclei templates
5
compliance frameworks
100%
offline

One posture instead of five consoles — and an AI that tells you what actually matters.

Most teams stitch together separate DAST, SAST, SCA and secrets tools, each with its own noise and no shared truth. ASPM runs all six engines, folds every result into one deduplicated posture, then proves exploitability and ranks by real risk.

🛡️

Hybrid SAST→DAST

The AI reads your source, builds a STRIDE threat model, and aims the scanner at risky endpoints.

Proof, not noise

Safe exploit verification confirms findings; AI filters false positives before they hit your backlog.

🧩

Unified posture

All six engines feed one fingerprint-deduplicated vulnerability store, ranked by real risk.

⚖️

Governed end-to-end

CI/CD gates, SLAs, risk acceptance, ticketing, and SOC2/NIST/HIPAA/GDPR/PCI evidence.

How ASPM works

From source to proven, prioritized risk — in one offline pipeline.

01

Discover & connect

Add a target or connect a repo. Discovery inventories your assets, hosts and APIs.

02

Hybrid scan

AI threat-models your source, then runs DAST + SAST + SCA + container/IaC/secret engines.

03

Prove & prioritize

Safe exploit verification confirms what's real; AI ranks everything by true risk.

04

Govern & report

CI/CD gates and SLAs drive remediation; one click exports compliance evidence.

Everything in ASPM

🛡️ DAST

ZAP + Nuclei (9000+), AJAX/SPA, authenticated, OAST, business-logic/IDOR, exploit verification.

💻 SAST

Semgrep-format rules + Python/PHP/JS taint engine, source→sink, CWE mapping.

📦 SCA + SBOM

Version-aware advisory DB; export CycloneDX & SPDX bills of materials.

🐳 Containers · IaC · Secrets

CVE scanning; Terraform/K8s/CFN/Dockerfile; provider patterns + entropy.

🤖 Local-LLM AI

STRIDE threat models, triage, exploit verification, "Ask AI" — on DeepSeek, no cloud.

🏢 Enterprise & Identity

RBAC, SSO/AD (Entra/OIDC/SAML/LDAP), MFA, API tokens, audit, backups, branding.

⚖️ Governance

CI/CD gates (6 platforms), risk acceptance, SLA, policy, Jira/GitLab/Azure ticketing.

📄 Reports & Compliance

Executive & technical reports; SOC2/NIST/HIPAA/GDPR/PCI evidence packages.

🧩 Unified Posture

Fingerprint dedup, SAST↔DAST correlation, attack-path graph, discovery.

ASPM FAQs

Is anything sent to the cloud?

No. Every scan and every AI inference stays inside your perimeter. The AI runs on a local LLM (DeepSeek) — no cloud-AI dependency, no per-token bill.

How is this different from separate DAST/SAST/SCA tools?

All six engines feed one fingerprint-deduplicated posture. The AI proves exploitability, filters false positives, and ranks by real risk — so your backlog is signal, not raw tool output.

What compliance frameworks are supported?

SOC 2, NIST, HIPAA, GDPR and PCI — per framework and per application, as evidence packages.

How is it deployed?

Self-hosted via Docker Compose on your infrastructure, including fully air-gapped. SSO/AD, RBAC, MFA, audit and backups are built in.

See your posture in minutes.

Spin up a scan and watch the AI prioritise, prove and report.