Multicloud AI & ERP / Cloud & AI Security, Governance & Compliance
About
Protecting cloud data, identities and AI systems end to end: identity for AI, encryption and secrets, prompt injection defense, privacy and residency, landing zones and policy, backup and disaster recovery, cloud-native security tools, AI-assisted SIEM and SOAR, threat detection, data loss prevention, certificates and confidential computing.
How NTS helps
NTS secures cloud and AI workloads end to end: landing zones and policy, encryption and key management, defenses against prompt injection and data leakage, monitoring and response, and the evidence auditors ask for.
Each diagram compares how AWS, Azure and Google Cloud handle the same problem. Select Read more for the full diagram and write-up.
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Securing Enterprise AI: IdentityWho and what may call your models
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Encryption, Keys & SecretsKeep control of data, models and credentials
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Prompt Injection & Data LeakageTreat everything an AI reads as untrusted
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Privacy, Residency & ComplianceWhere data lives and who can see it
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Landing Zones, Policy & GovernanceGuardrails before the first workload
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Backup, DR & Multi-Region AIRecover data, models and AI services after failure
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Cloud-Native Security ToolsDetect, prioritize and respond across the estate
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SIEM & SOARCollect every signal, automate the first response
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Threat Detection & Vulnerability ManagementFind weaknesses and attacks before they cost you
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DLP & Data ProtectionFind sensitive data before your AI does
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Certificates & PKIAutomate certificates before they expire
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Confidential ComputingProtect data while it is being processed
Need one of these on your cloud?
NTS designs, migrates and runs these architectures on AWS, Azure and Google Cloud. Most engagements start with a 30-minute architecture review.
- Phone
- 469-469-1965