AlertD
AI agents for AWS operations that run read only in the customer's VPC and cover security, compliance, cost, performance and LLM spend over a live cloud graph, proposing fixes as diffs for the customer's pipeline.
AlertD runs purpose built AI agents for AWS operations inside the customer's own VPC, as a container on Amazon ECS with read only access and no write permissions of its own. Its agents cover security (findings ranked by blast radius), compliance (evidence mapped control by control), cost (rightsizing, idle resources, GPU waste), performance diagnostics and LLM visibility (token metering and spend per feature), working over a unified context graph of the customer's resources, metrics, pricing and relationships.
The agents run continuously across the organization, watch for drift and flag budget breaches the day they start, and answer questions over Slack and an MCP interface that works with Claude Code. Fixes arrive as Terraform or CloudFormation diffs. The agents propose, the team approves, and the customer's own pipeline applies them. Customers choose the model, Anthropic Claude, Meta Llama or a private model through their own Amazon Bedrock account.
AlertD holds SOC 2 Type II. Pricing is usage based, metered in tokens for resources monitored and agent work with hard caps and budgets, through AWS Marketplace with a free 30 day trial. Rates are not published.
Vendor details
Canonical URL
https://www.alertd.ai
Category
SRE / DevOps agent
Funding status
Pre seed. Raised 3 million dollars in a pre seed round led by True Ventures. Launched out of stealth in November 2025.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Runs in the customer's AWS VPC on Amazon ECS with read only access to the AWS estate, uses Amazon Bedrock for the customer's chosen model, answers over Slack, MCP and a web portal, and hands fixes to the customer's pipeline as Terraform or CloudFormation diffs.
In practice
Your AWS bill spikes mid month. AlertD's cost agent flags the budget breach the day it starts and proposes rightsizing as a diff.
An auditor asks for control evidence. AlertD's compliance agent maps artifacts from the live environment control by control.
Security wants to know which findings matter first. AlertD ranks them by blast radius across the account graph.
Sources & related URLs
Related / legacy domains
Research sources
Agentic Index coverage score
8.0 / 14 capabilities · 57%
| Integrations & Tool Calling | Partial |
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Agents read the AWS estate across services through a read only role and hand back proposed fixes as Terraform or CloudFormation diffs for the customer's pipeline. AlertD has read only access and no write permissions of its own, so the agents read and suggest but do not act in those systems themselves. Today the diff arrives ready for the team to open a pull request in its own repo, with GitHub and GitLab apps in progress. Coverage is AWS end to end, and Azure and GCP are on the roadmap. SourceAlertD, alertd.ai/faq and alertd.airead 2026-10-05 |
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| Workflow Orchestration | Partial |
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Specialist agents each analyze their own domain over a shared graph, covering security, cost and compliance, along with performance and LLM visibility. Fixes from every agent arrive as diffs for the same pull request workflow, and questions reach the agents over Slack or MCP. AlertD offers no builder for flows of several steps, no branching and no way for the customer to coordinate the agents. SourceAlertD, alertd.ai and alertd.ai/faqread 2026-10-05 |
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| Knowledge Grounding & RAG | Full |
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A unified context graph holds the customer's cloud state, normalized and queryable. It is a live picture of resources and metrics, pricing and relationships across the AWS estate, which the agents traverse to answer and recommend. Prices come from the ingested AWS price list, and the graph includes the customer's LLM stack. SourceAlertD, alertd.airead 2026-10-05 |
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| Human Oversight & Guardrails | Partial |
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The agents propose, the customer approves and the customer's pipeline applies the change, a pattern AlertD ties to what Gartner calls Act with Approval. The agents hold read only access, and changes go through the customer's own pull request pipeline, so the customer owns the gate. Decisions stay with people, and the agents' reach is limited to reading. In Slack, each answer carries the finding, its context and the proposed fix. SourceAlertD, alertd.ai and alertd.ai/faqread 2026-10-05 |
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| Security, Identity & Governance | Partial |
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AlertD holds SOC 2 Type II and logs actions. There is no SSO or role based access for users. The read only IAM role scopes the agent, not who in the customer's organization can do what. The agents run inside the customer's VPC with no write permissions of their own. SourceAlertD, alertd.ai and alertd.ai/faqread 2026-10-05 |
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| Observability & Auditability | Partial |
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Actions are logged, the agent works in the open, and compliance evidence artifacts are mapped control by control. Every model invocation is metered, and Deep Prompt Inspection shows which features drive model spend. There is no record of the steps, queries or tools an agent used in a run. SourceAlertD, alertd.ai and alertd.ai/faqread 2026-10-05 |
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| Memory & State Persistence | Not documented |
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The agents keep no memory. The context graph they query is a live picture of the AWS estate, and the change history and shared saved queries are the application's record and user settings. SourceAlertD, alertd.ai and alertd.ai/faqread 2026-10-05 |
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| Deployment & Data Residency | Full |
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Deployment is a container image on Amazon ECS inside the customer's own AWS VPC, and operational data never leaves the customer's perimeter. Installation is one CloudFormation template from AWS Marketplace and takes about 15 minutes, and AlertD is not offered as SaaS. SourceAlertD, alertd.ai/faq and alertd.airead 2026-10-05 |
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| Prebuilt Agents / Templates / Packs | Full |
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Five agents come purpose built, each with its own job. The security agent ranks findings by blast radius and the compliance agent gathers control evidence. The cost agent handles rightsizing, the performance agent runs diagnostics and the LLM visibility agent meters tokens. Each agent works on its own. Together they cover more than 200 cloud jobs, among them cyber asset inventory, attack path analysis, cloud identity and entitlement analysis, data exposure and encryption posture, incident investigation, and finding idle resources, zombie EKS pods and GPU waste. SourceAlertD, alertd.airead 2026-10-05 |
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| Triggers & Channel Coverage | Full |
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Agents run continuously and org wide, around the clock. They watch for evidence and IaC drift and flag budget breaches the day they start, without anyone asking. Questions can also reach them on demand over Slack and MCP. Budgets the customer sets stop runaway LLM spend. SourceAlertD, alertd.ai and alertd.ai/faqread 2026-10-05 |
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| Model Flexibility & Routing | Full |
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Any LLM works. Customers use Anthropic Claude, Meta Llama or their own private LLM through Amazon Bedrock, so the customer chooses the model inside its own account. Agent jobs are metered by tokens, and customers set a budget and see how the agents use their credits. SourceAlertD, alertd.ai/faq and alertd.airead 2026-10-05 |
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| APIs / SDKs / MCP Extensibility | Partial |
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The AlertD MCP server is generally available and lets a coding agent such as Claude Code see all of AWS through AlertD. AlertD also works through the A2A and MCP interfaces AWS built its own agents on, so custom agents can work alongside it. There is no published endpoint, auth scheme or tool list, and no API or SDK. SourceAlertD, alertd.ai and alertd.ai/faqread 2026-10-05 |
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| Testing, Debugging & Optimization | Not documented |
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Token metering, daily tracking of model invocations and hard caps control cost, not quality. There is no testing, scoring or feedback loop for the agents. AlertD reports 10% savings on AWS infrastructure cost, diagnostics 100 times faster and audit artifacts in seconds rather than days. SourceAlertD, alertd.ai/faq and alertd.airead 2026-10-05 |
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| Browser / Computer-use | Not documented |
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The agents read AWS through a read only role, answer over Slack, MCP and a web portal, and hand fixes back as Terraform or CloudFormation diffs. They use no browser, desktop or computer control. SourceAlertD, alertd.ai and alertd.ai/faqread 2026-10-05 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Recent platform changes
AlertD introduced native support for the AWS Security Health Improvement Program (SHIP) and opened early access for partners. The platform's agents can now automatically execute the full SHIP assessment, covering 319 questions across SATv2 and SRA Verify as a built-in profile.
Bears on: Security / enterprise
View sourcePricing
Free 30 day trial on AWS Marketplace; usage based pricing metered in tokens, with no published rates
Usage metered in tokens for resources monitored and agent work, through AWS Marketplace, plus the customer's own Bedrock model and AWS infrastructure costs
Included quota
Not public.
Cost watchouts
Bring your own LLM inference costs and AWS infrastructure costs in the customer's own VPC are on top of any platform fee.
Variable cost rationale
Customers bring their own LLM, so model inference is billed separately through Amazon Bedrock or another provider, and the platform runs in the customer's AWS account, adding AWS infrastructure cost; both scale with usage.
Overage / add-ons
Hard caps and budgets bound usage; rates not published
Sales call required
Mixed (some tiers require a call)
Free / trial
Free 30 day trial.
Lowest paid plan
Not public.
Key ambiguities
The meter (tokens for resources monitored and agent work) and the trial are public; the rates are not.
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Alternatives to AlertD
The closest documented capability profiles to AlertD among SRE and DevOps agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- RunWhen10.0 / 14Adds documented Testing, Debugging & Optimization
- Avesha9.5 / 14Adds documented Memory & State Persistence and Testing, Debugging & Optimization
- Parity6.5 / 14Fuller documented coverage on Workflow Orchestration
- Cased8.0 / 14Fuller documented coverage on Integrations & Tool Calling and Observability & Auditability
- Middleware8.0 / 14Fuller documented coverage on Integrations & Tool Calling and Human Oversight & Guardrails
- Causely9.5 / 14Fuller documented coverage on Integrations & Tool Calling and Human Oversight & Guardrails
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded