AWS Cloud · Security and governance

Cloud Security and Governance

Identity, encryption, network controls, threat detection and governance built into the platform rather than bolted on afterwards.

What usually brings people here

Security work often arrives as a list of findings with no owner and no route into the delivery process, so the same issues reappear in the next environment.

How we approach it

We put preventative controls where they are cheapest to enforce — in identity, in policy as code, and in the pipeline — then add detection for what prevention cannot cover. Agentic and AI workloads get particular attention, because they introduce permissions that traditional reviews were not designed for.

Layers of control

  1. 1

    Identity

    Federated, short-lived credentials

  2. 2

    Network

    Segmented, private by default

  3. 3

    Data

    Encrypted, classified, retained

  4. 4

    Workload

    Per-agent scoped permissions

  5. 5

    Detection

    GuardDuty, Config, Security Hub

  6. 6

    Response

    Runbooks and rehearsed drills

Prevention where it is cheapest to enforce, detection for what prevention cannot cover.

Identity and access

Least privilege that people can actually work within, and that survives contact with a growing team.

  • AWS IAM Identity Center and federated access
  • Role design, permission boundaries and service control policies
  • Workload identity and short-lived credentials
  • Customer-facing identity with Amazon Cognito

Data protection

Encryption and secret handling that is enforced by policy rather than by convention.

  • Encryption at rest and in transit with AWS KMS
  • Secrets management and rotation
  • Data classification and residency controls
  • Backup, retention and disaster recovery

Threat detection and response

Detection tuned to your environment, with alerts that route to someone who can act on them.

  • Amazon GuardDuty, AWS Security Hub and AWS Config
  • Centralised logging and retention
  • Vulnerability management in build and runtime
  • Incident response runbooks and tabletop exercises

Securing AI and agent workloads

Agents that call tools introduce a permission surface that most security reviews have never looked at.

  • Scoped, per-agent credentials with revocation paths
  • Prompt injection and tool-abuse threat modelling
  • Approval gates on sensitive or irreversible actions
  • Audit trails covering model, tool and retrieval calls

What you receive

  • Security assessment against CIS and AWS Well-Architected guidance
  • Prioritised remediation plan with owners and effort
  • Guardrails and policy as code, deployed
  • Detection and alerting configuration
  • Evidence and documentation to support compliance work

What should change

  • Fewer standing privileges and a smaller blast radius
  • Issues caught in the pipeline rather than in production
  • Faster evidence collection when an auditor asks
  • AI and agent workloads that can pass a security review

AWS services we commonly use

  • AWS IAM and IAM Identity Center
  • Amazon Cognito
  • AWS KMS
  • AWS Secrets Manager
  • AWS WAF
  • Amazon GuardDuty
  • AWS Security Hub
  • AWS Config

Talk this through with an engineer

Thirty minutes is usually enough to establish whether this is the right service for your situation.

Book a Strategy Session