data-security-expert
Assess and Strengthen Data Security
Organizations need consistent controls across the data lifecycle. This skill structures classification, risk assessment, MLPS planning, safeguards, audits, and response deliverables.
Installer avec mon Agent
Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.
Review the Skillstore skill "data-security-expert" from https://skillstore.io/skills/dhturing-data-security-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-security-expert/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Votre Agent doit toujours présenter son plan et demander toute confirmation exigée par la politique de sécurité.
Ressources lisibles par les agents
Utilisez ces liens lorsqu’un Agent IA, un crawler ou un script a besoin d’un contexte propre au lieu de lire toute la page.
Tester
Utilisation de « data-security-expert ». Classify customer profiles, public product data, and high-value transaction records.
Résultat attendu:
- Customer profiles: general sensitive data, internal level 3, with encryption and controlled access.
- Public product data: general public data, internal level 1, with integrity controls.
- High-value transaction records: assess industry thresholds before deciding important status; apply level 4 controls meanwhile.
Utilisation de « data-security-expert ». Outline a security assurance package for a financing review.
Résultat attendu:
- Management evidence: approved policies, ownership records, training logs, and risk acceptance decisions.
- Technical evidence: access reviews, encryption design, masking rules, immutable audit logs, backup tests, and vulnerability remediation.
- Assurance evidence: MLPS filing, assessment reports, incident exercises, audit results, and tracked corrective actions.
Audit de sécurité
SûrAll 12 static findings are false positives caused by documentation syntax, cited installation paths, public links, and entropy heuristics on multilingual Markdown. The reviewed files contain no automated command execution, network requests, obfuscated payloads, or prompt injection language.
Facteurs de risque
📁 Accès au système de fichiers (2)
⚙️ Commandes externes (3)
🌐 Accès réseau (2)
Partager et citer ce rapport
Partagez le rapport d’évaluation versionné, le badge neutre, la carte intégrable et les citations. Skillstore présente les preuves sans décider si ce Skill est sûr.
Copier le lien du rapport
https://skillstore.io/skills/dhturing-data-security-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportBadge Markdown
[](https://skillstore.io/skills/dhturing-data-security-expert?utm_source=security_passport_badge)Badge HTML
<a href="https://skillstore.io/skills/dhturing-data-security-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-data-security-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Carte intégrable
<iframe src="https://skillstore.io/embed/skills/dhturing-data-security-expert.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Citations académiques (APA · BibTeX · CFF)
Citation APA
图灵数盟. (2026). data-security-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-security-expert/audits/1Citation BibTeX
@techreport{dhturing-data-security-expert-2026,
author = {图灵数盟},
title = {data-security-expert security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/dhturing-data-security-expert/audits/1},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "data-security-expert security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "图灵数盟"
date-released: "2026-09-27"
url: "https://skillstore.io/skills/dhturing-data-security-expert/audits/1"
identifiers:
- type: other
value: "skillstore:dhturing-data-security-expert:audit:1"
description: "Skillstore immutable audit report identifier"
Score Skillstore
Pourquoi ce score Niveau de confiance des preuves: MoyenCe que vous pouvez créer
Classify Enterprise Data
Create a classification table and important data catalog from an inventory, ownership details, scale, sensitivity, and business impact.
Plan Security Remediation
Map lifecycle gaps to access, encryption, masking, logging, backup, disposal, and incident response controls.
Prepare Assurance Evidence
Draft evidence checklists and report structures for MLPS assessment, financing review, registration, audit, or DSMM improvement.
Essayez ces prompts
Classify these assets as core, important, or general under GB/T 43697-2024. State assumptions, evidence gaps, and controls: [asset list].
Assess controls across collection, storage, use, sharing, transfer, and disposal. Prioritize gaps by threat, vulnerability, impact, owner, and deadline.
Evaluate this system for MLPS scope and likely level. Provide rationale, filing steps, remediation work, evidence needs, timing, and external dependencies.
Create an integrated security program for [organization]. Include classification, risk register, lifecycle controls, DSMM roadmap, audit schedule, incident response, and evidence.
Bonnes pratiques
- Provide current inventories, architecture diagrams, control evidence, and applicable industry requirements.
- Separate confirmed facts, assumptions, evidence gaps, and recommendations in every deliverable.
- Validate classifications and compliance conclusions with accountable owners and qualified external assessors.
Éviter
- Do not assign important data status solely from a generic example.
- Do not treat encryption as sufficient without access control, key management, logging, and recovery.
- Do not present draft guidance as regulator approval or a completed independent assessment.
Foire aux questions
Can this skill determine whether data is important data?
Does it perform an MLPS assessment?
Can it create an important data catalog?
Which lifecycle stages does it cover?
Can it recommend encryption and masking controls?
Is the guidance limited to China?
Détails du développeur
Auteur
图灵数盟Licence
MIT
Révision Skillstore
r1
Avis de version
L’auteur n’a déclaré aucune version.
Réf
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
Récence de maintenance
30/09/2026
Utilisation
0 téléchargements · 0 vues
Structure de fichiers