AI-Powered Cloud Security
Analyse IAM, GuardDuty, Security Hub, Config and CloudTrail signals. Prioritise risks and recommend remediation.
Explore Cloud SecurityAI engineering for AWS
Intelligent AI Agents for Your AWS Cloud
Perixope builds Generative AI and Agentic AI solutions that help organizations secure, optimize, monitor and automate their AWS environments.
- Generative AI
- Agentic AI
- Cloud Security
- Cloud Cost Optimization
- Cloud Operations
Security agent · example run
- observeCollected findings from Security Hub, GuardDuty and AWS Config
- reasonCorrelated: S3 bucket is public and has no default encryption
- reasonBusiness impact: customer files in this bucket could be exposed
- recommendBlock public access and enable SSE-KMS on the bucket
- approveWaiting for approval from the cloud team lead
- verifyAfter approval: re-check bucket policy and confirm the finding is resolved
Review & approveReject
Build intelligent systems that don't just answer questions. They understand, reason and act.
Perixope combines AWS cloud engineering, Generative AI and Agentic AI with cloud security, FinOps, DevOps automation and observability. The result is AI agents that work inside real AWS environments, within the permissions and approvals you define.
What an AI agent on AWS looks like
Your application and data stay inside your AWS account. Perixope agents read the signals they are allowed to see, and every action passes through approval before it reaches AWS APIs, then gets verified and logged.
AI that acts, not just answers
Most AI tools wait for a question and return an answer. Agentic AI works on your cloud environment: it observes signals, reasons about them, uses tools and takes controlled action.
Traditional AI
- User
- Question
- AI
- Answer
The exchange ends when the answer is given.
Agentic AI with Perixope
- 1Cloud environment
- 2Agent observes
- 3Agent understands
- 4Agent reasons
- 5Agent identifies the issue
- 6Agent uses tools
- 7Agent recommends action
- 8Human approval
- 9Agent executes controlled action
- 10Agent verifies the result
Specialised agents for every part of your cloud
AI-Powered Cost Optimization
Turn billing and usage data into clear explanations and rightsizing, cleanup and commitment recommendations.
Explore Cost OptimizationAI Cloud Operations
Investigate health, capacity, deployments and backups across your AWS resources.
Explore Cloud OperationsAI Observability & Incident Response
Correlate logs, metrics and alerts. Summarise incidents and find the likely root cause.
Learn moreAI DevOps Automation
Analyse pipelines, Terraform, Kubernetes and deployments. Recommend rollback or remediation.
Learn moreAI Compliance & Governance
Check baselines, tagging, encryption and logging. Generate governance reports with evidence.
Learn moreGenerative AI Applications
RAG assistants, copilots, document intelligence and natural-language analytics on Amazon Bedrock.
Explore Generative AIEnterprise AI Agents
Multi-agent systems that plan, use tools and act across AWS and enterprise systems.
Explore Agentic AIYou decide how much the agent does
Autonomy is set per workflow, not all at once. Most teams start at level 1 and move up as trust is earned.
AI recommends
The agent analyses and recommends. People decide and act.
Best for: First deployments, high-impact systems
AI assists
The agent prepares the action, then waits for a person to review and approve it.
Best for: Remediation, rightsizing, configuration changes
AI automates
The agent runs predefined low-risk actions under strict policies, and logs and verifies every step.
Best for: Tagging, reports, stopping known non-production resources
Each workflow gets its own level. The same agent can automate a report while still asking for approval before any change to production.
Specialised agents that work together
Complex cloud problems cross security, cost and operations. A supervisor agent coordinates specialised agents, each connected only to the data and tools it needs. Actions pass through a decision and approval layer before reaching AWS.
Supervisor agent
Security agent
- AWS Security Hub
- Amazon GuardDuty
- AWS Config
Cost agent
- AWS Billing
- Cost Explorer
- EC2 / RDS usage
Operations agent
- Amazon CloudWatch
- OpenSearch
- Prometheus · Grafana
Decision / approval
Action executor
AWS APIs / tools
Why Perixope
We don't just build AI demos. We engineer AI systems designed to operate within real cloud environments.
- AWS-native
- Built on Amazon Bedrock and AWS services, deployed inside your AWS accounts and architecture.
- AI + cloud engineering
- One team that understands both AI agents and the AWS infrastructure they run on.
- Security-first
- Least-privilege IAM, guardrails, encryption, audit logs and human approval designed in from day one.
- Production-focused
- Monitoring, cost control and verification built in, so agents keep working after launch.
How Perixope builds Agentic AI
- 1
Discover
Identify the business or cloud operations problem.
- 2
Design
Design the AI agent and AWS architecture.
- 3
Connect
Connect agents to approved data sources and tools.
- 4
Build
Develop the agent using the right frameworks.
- 5
Secure
Implement IAM, guardrails, permissions and security controls.
- 6
Deploy
Deploy the solution into AWS.
- 7
Observe & optimize
Monitor agent behaviour, cloud usage, performance and cost.
Representative solutions
AI-Powered AWS Cloud Security Agent
Agentic AI + Cloud Security
AI Cloud Cost Optimization Agent
Agentic AI + FinOps
QueryDash: Conversational Analytics & AI Data Agent
Generative AI + Agentic AI
Have a cloud or AI challenge?
Tell us about your AWS environment and what you want to improve. We'll show you where AI agents can help, and where they shouldn't.
Talk to an AI Expert