AWS Security

Secure My AI Environment

Security and governance built into AWS AI environments from architecture through production.

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The challenge

Where organisations get stuck

Generative AI and machine learning introduce new security, governance and data risks.

Sensitive information
Enterprise knowledge
Models
Prompts
Applications
Business processes

Cloud security shield over server infrastructure representing AWS security services

How Analytics Hive helps

AWS AI Security & Governance

Analytics Hive builds security and governance into AWS AI environments from architecture through production.

What the engagement includes

AI access controls
Data protection
AI governance
Model security
Prompt protection
AI monitoring
Responsible AI controls

AWS services we build on

Amazon Bedrock Guardrails
IAM
KMS
CloudTrail
CloudWatch
Security Hub

Expected outcome

From uncontrolled AI experimentation to secure and governed enterprise AI.

What we deliver

Tangible outputs, not slideware

Typical artefacts from a security engagement, tailored to the scope we agree with you.

AWS security posture assessment with prioritised findings
Security reference architecture and guardrails
Identity and access management redesign
Data protection, encryption and key management design
DevSecOps pipeline controls and automated scanning
Threat detection, logging and incident response runbooks
Compliance evidence and reporting pack

Our approach

How the work runs

01
Assess
Understand your business objectives, current environment, risks and opportunities.
02
Architect
Design the right AWS target architecture and transformation roadmap.
03
Build
Implement the cloud, data, AI and security capabilities required.
04
Secure
Embed security, governance, resilience and compliance into the environment.

Business outcomes

What the business gains

Technical work only matters when it changes how the organisation performs.

01
Protected data in AI workflows
02
Governed AI usage
03
Monitored AI systems

AWS context

Built on AWS-native capability

Security work at Analytics Hive is delivered on AWS and aligned to the AWS Well-Architected Framework.

AWS Security Hub and Amazon GuardDuty
AWS IAM Identity Center and IAM Access Analyzer
AWS KMS, Secrets Manager and Amazon Macie
AWS WAF, Shield and Network Firewall
AWS Config, CloudTrail and Audit Manager
Amazon Inspector and Amazon Detective
AWS Control Tower guardrails and service control policies

Built around enterprise priorities

Security-first
Protect workloads, identities and data with controls designed in from the start.
Scalable
Architect AWS environments that grow with demand instead of constraining it.
Resilient
Design for availability, continuity and tested recovery, not best-effort uptime.
Cost-conscious
Optimise infrastructure spend without compromising performance or resilience.

Next step