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Agent passport

Agent SRE for Agentic AI Observability

XenonStack · Cybersecurity & IT

No attestation published

Certification per AWS Marketplace.

Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 3 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownProfessional service
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

**Product Features**

Agent SRE is an AI-powered observability and incident management platform that leverages a LangGraph-based multi-agent system to deliver autonomous, real-time incident detection, analysis, and remediation. It includes predictive monitoring to identify performance degradation before incidents occur and context-aware diagnostics that correlate telemetry data using vector similarity search and knowledge graphs. The platform enables self-healing infrastructure through AWS Lambda and Systems Manager and is deployed on Amazon EKS using a scalable microservices architecture powered by Bedrock-enabled agents. It integrates AWS services like CloudWatch and OpenSearch and supports third-party tools such as ServiceNow, Slack, Microsoft Teams, PagerDuty, and GitHub. Security is enforced via Zero Trust Architecture, IAM Identity Center, KMS encryption, and Secrets Manager, with a serverless and auto-scaling deployment across multiple availability zones.

Show the rest of the publisher’s description (6 more lines)

**Benefits**

Agent SRE delivers measurable operational improvements, including an 85% reduction in Mean Time to Resolution (MTTR) and a 92% decrease in alert fatigue. It helps organizations save up to $1.8 million annually by reducing downtime and shortens compliance preparation from weeks to days. Predictive remediation prevents 78% of major incidents, improving SLA adherence and system uptime. The platform also reduces operational overhead, increases engineering productivity, and ensures compliance with industry standards like SOC2, ISO27001, and PCI-DSS.

**Usage**

The platform enables proactive incident prevention through AI-driven anomaly detection and automates resolution for known failure modes without manual intervention. It intelligently correlates alerts and filters noise for effective incident prioritization. Agent SRE provides real-time observability across AWS, Azure, and on-premise environments, supports SLA enforcement via policy-based automation, and integrates with ticketing, messaging, and CI/CD systems for streamlined workflows. Its AI models are trained using historical telemetry, logs, incidents, and runbooks.

**Other Information**

Agent SRE is designed for Site Reliability Engineering (SRE) teams, DevOps engineers, cloud operations, security analysts, and technology executives such as CTOs and CIOs. It serves industries that demand high availability and compliance, including e-commerce, fintech, healthcare, and telecom. Technical prerequisites include a Kubernetes cluster (preferably Amazon EKS), telemetry ingestion through CloudWatch/OpenSearch, IAM configuration, and integration with ticketing and messaging tools. It depends on access to telemetry, historical incidents, knowledge bases, and runbooks. The platform integrates deeply with AWS services such as Bedrock, Nova, EKS, Lambda, CloudWatch, OpenSearch, EventBridge, Systems Manager, Secrets Manager, and RDS. Its scalable, stateless design supports horizontal scaling with multi-AZ deployment and auto-scaling agents.

Highlights

Highlighted by the publisher on AWS Marketplace.

AI-powered autonomous incident detection and remediation using a LangGraph-based multi-agent architecture.

Predictive monitoring and self-healing infrastructure across hybrid, multi-cloud environments with seamless AWS integration.

Significant reduction in MTTR and alert fatigue while ensuring enterprise-grade security and compliance.

Agent build and provenance

See the full provenance

The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.

Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Vendor

External enrichment · as of 2026-08-29

CompanyXenonStack IncAutomated
HQUnited States of AmericaAutomated
IndustryTechnologyAutomated
Websitehttps://www.xenonstack.com/

Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource

Publisher resources

3 links
Websitewww.akira.aiSource
Featureswww.agentsre.aiSource
Case Studywww.xenonstack.comSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Unknown
Not stated
Delivery
Professional service
**Website** :- https://www.xenonstack.com/contact-us/ **Talk to Expert** :- https://www.xenonstack.com/talk-to-specialist/ **General Inquiries**: business@xenonstack.com **Direct Contact**: riya@xenonstack.com
Open the source listing ↗

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