Overview
Key Features
-
AI-powered, multi-agent Governance, Risk, and Compliance (GRC) orchestration platform built natively for AWS.
-
Autonomous agents continuously monitor IAM, Config, GuardDuty, Security Hub, Macie, Inspector, CloudWatch, and CloudTrail for drift, anomalies, and misconfigurations.
-
Unified regulatory mapping links AWS evidence to SOC 2, ISO 27001, HIPAA, GDPR, PCI-DSS, NIST, and EU AI Act — enabling “implement once, satisfy many.”
-
AI governance layer oversees SageMaker and Bedrock models for drift, bias, fairness, and lineage, with human-in-the-loop approvals for high-risk deployments.
-
Automated evidence collection centralized in Amazon S3, indexed with DynamoDB, and visualized in Redshift/OpenSearch dashboards.
-
Seamless integration with AWS-native services: IAM, Organizations, Control Tower, KMS, Lambda, Step Functions, and EventBridge.
Use Cases
-
Enforce AI usage policies across SageMaker and Bedrock aligned with internal and regulatory standards.
-
Monitor AI models for drift, bias, and anomalies, triggering alerts in CloudWatch and dashboards in real time.
-
Automate compliance across AWS Organizations with unified mapping to multiple frameworks.
-
Govern vendor and third-party AI usage via API Gateway and Lambda with Macie-driven data protection.
-
Provide auditors with secure, real-time evidence portals and APIs, eliminating compliance crunch periods.
-
Embed governance checks into CI/CD pipelines to ensure every deployment remains compliant.
Target Users
-
CIOs & CTOs – scale AI and cloud workloads with confidence under continuous compliance.
-
Compliance & Risk Teams – automate evidence collection and streamline audit cycles.
-
IT & Security Teams – enforce AWS-native guardrails and integrate governance into DevOps workflows.
-
AI/ML Teams – monitor SageMaker and Bedrock models for fairness, drift, and explainability.
-
Executives & Boards – gain risk transparency and build regulatory trust with dashboards.
-
Auditors & Regulators – access continuously updated, validated evidence via secure portals.
Benefits
-
Reduces manual compliance and audit preparation effort by up to 70%.
-
Provides continuous audit readiness with automated evidence lakes and dashboards.
-
Strengthens AI oversight with fairness monitoring, bias detection, and lineage tracking.
-
Improves compliance posture with real-time visibility across AWS accounts and workloads.
-
Lowers total cost of compliance through AWS-native automation and integration.
-
Builds trust with regulators, customers, and partners via proactive governance.
**Value Proposition **
-
Scale compliance and AI governance without adding operational overhead.
-
Autonomous oversight agents, unified regulatory mapping, and audit-ready automation embedded directly into AWS environments.
-
Transform governance from periodic, manual reporting into proactive, intelligent, and continuous assurance.
-
Purpose-built for AI and cloud workloads with SageMaker and Bedrock oversight, AWS-native alignment, and extensible orchestration.
-
Help enterprises accelerate AI adoption, reduce compliance risk, and maintain regulatory trust at scale.
-
Unlock resilience, transparency, and confidence in enterprise cloud operations
Highlights
- Continuous compliance with automated evidence collection, unified regulatory mapping, and real-time auditor portals.
- AI governance for SageMaker and Bedrock with drift, bias, and lineage monitoring plus human-in-the-loop controls.
- AWS-native integration with IAM, Config, Security Hub, GuardDuty, and Macie for seamless, cost-effective adoption.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
How can we make this page better?
Legal
Content disclaimer
Support
Vendor support
Website :- https://www.akira.ai/
Book Demo: https://demo.akira.ai/
Digital Workers : https://www.akira.ai/digital-workers/
Email - riya@xenonstack.com , navdeep@xenonstack.com , business@xenonstack.com