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Adopt AI securely.
Prove it to anyone.

SecuredLLM turns AI security from guesswork into guided, evidence-driven assessment — mapped to OWASP, NIST AI RMF, and the EU AI Act. Your first audit-ready report in days, not quarters.

  • 12 lifecycle stages
  • 25+ regulations mapped
  • Audit-ready reports
T3 · High-risk tier
Report ready · /r/8f3k2
posture · acme-aiLIVE

AI Security Posture

0/100
▲ +6 this month
Open findings
2C · 5H · 9M · 14L
EU AI Act
82%
NIST AI RMF
74%
ISO/IEC 42001
68%

Assessment feed

LLM01Indirect prompt injection — support RAG2m
LLM06Excessive agency — billing tool scope14m
LLM02PII in training corpus — HR dataset31m

Anchored to the standards your auditors already trust

OWASP LLM Top 10NIST AI RMFMITRE ATLASEU AI ActISO/IEC 42001HIPAACWEGDPRIndia DPDPNIST SP 800-53ISO 27001OWASP LLM Top 10NIST AI RMFMITRE ATLASEU AI ActISO/IEC 42001HIPAACWEGDPRIndia DPDPNIST SP 800-53ISO 27001
The gap

AI adoption outpaced your security.

Your board wants AI shipped yesterday. Security gets three options — and all of them fail.

Scanners produce noise

Hundreds of decontextualised findings with no methodology and no evidence. Your team drowns in false positives while real risk hides in plain sight.

Consultants produce PDFs

Point-in-time audits that are stale the day they land. No traceability from regulation to remediation — and nothing you can re-run next quarter.

Checklists produce false confidence

Yes/no answers that don't survive an auditor's follow-up question, let alone an incident review.

You don't need more findings. You need posture — measured, evidenced, and provable.

The framework

One framework, from regulation to remediation.

Every assessment runs on the SecuredLLM AI Security Framework — the full AI lifecycle, risk-tiered depth, and standards-anchored playbooks. No stage is a blind spot.

Full AI lifecycle · L1–L12

L8Application

  • Prompt injection & output handling
  • Access control, BOLA / BFLA
  • Supply chain & dependencies
OWASP LLM01/05/06CWE

Risk tier drives assessment depth

Triggers at T3

Acts on sensitive or regulated data, uses tools, or has material business impact.

Assessment depth

R03–R05 Data & buildR08 Release gateR13 Incident responseR15 Supply chain

Compliance packs · auto-derived

T3 × industry × jurisdiction →

EU · high-risk (Annex III)DPDP · Significant Data FiduciaryUS · HIPAA / sectoral

Traceability

Follow one obligation all the way down.

RegulationEU AI Act · Art. 5
RequirementR07 · Risk tiering
ControlT3.4 · Release gate
Playbook stepStep 12 · Injection
FindingF-104 · High
RemediationPOA&M · Owner set

Every link navigable in both directions — from a regulation article to the exact remediation, and back. Exportable as OSCAL for your GRC stack.

The portal

Built for the whole room.

Leaders see posture at a glance. Analysts get guided assessments that teach. Auditors get evidence they can verify — without needing an account.

posture · executive view
0POSTURE
EU AI Act
82%
NIST AI RMF
74%
ISO/IEC 42001
68%
2 critical5 high9 medium14 low
Executive report ↓One page · board-ready · no jargon

Posture in thirty seconds — score, compliance progress, and what to do next. No jargon.

How it works

Zero to audit-ready in four steps.

No proprietary scanners, no six-figure engagements, no black boxes. Just a structured path from 'we run AI' to 'we can prove it's secure'.

01

Scope it

Create a project, pick purpose and industry. The framework auto-classifies your risk tier and pulls the right compliance packs.

02

Run the playbook

Guided steps with instructions, expected outcomes, and LLM-drafted suggestions you review — never blind automation.

03

Collect evidence

Attach artifacts to every finding. Severity, exploitability, and business impact scored with explainable rationale.

04

Publish & prove

One click to an audit-ready report. Share privately, org-wide, or via a public verifiable link.

LLM assists at every step · humans sign off on every finding

Why SecuredLLM

Built to survive scrutiny.

What separates an assessment that holds up — in the boardroom, the audit, and the incident review — from a vulnerability dump.

The differentiator

Composition-level scoring

Per-asset scores miss emergent risk. When models, retrieval, and tools are assembled into a system, new attack paths open between components. SecuredLLM scores the whole graph — privilege escalation, data flows, and tool access across the assembled system.

Evidence-driven findings

Every finding cites which signals fired, with what weights, and the artifacts that prove it. Explainable enough to survive audit scrutiny.

role_impersonation0.82
logic_subversion0.51
obfuscation0.36

Open TOML playbooks

Your methodology lives in human-readable files. Import, export, customise — your playbooks are yours.

[[step]]
id = "injection.indirect"
owasp_llm = "LLM01"
evidence_required = true

Verifiable by design

Public report links with a sign-off chain and mandated dissent capture. Auditors verify your posture without access to your environment.

/r/8f3k2✓ independently verified

Standards-anchored, always

Every step cites the standard it tests — OWASP LLM Top 10, MITRE ATLAS, CWE, NIST AI RMF, EU AI Act. Credibility by construction.

OWASP LLM01ATLAS AML.T0051CWE-89AI RMF Govern
0Lifecycle stages covered
0Framework requirements
0+Regulations mapped
0+Security test steps
0Assessment playbooks

Your board asked about AI security.
Have an answer by Friday.

Start your first assessment today — guided by the framework, evidenced by your team, ready for audit.

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