Legacy tools only see their lane.
Security, cost, and performance tools each watch one slice of your cloud.
Agentic cloud teammates for AWS
AlertD agents connect the dots across AWS and Bedrock security, cost, and performance, giving you the intelligence to do your job better and faster.
Cloud incidents cross lanes.
A cost spike can be a config change, a security risk, and a latency issue at once, and your team ends up stitching it together by hand.
AlertD agents work across every lane in AWS.
They connect the dots across security, cost, compliance and performance to identify the right actions and clear the ticket queue faster.
Cause, fix, your call. In seconds.
Get the most likely root cause and a recommended fix. You decide what happens next.
45
min
install → first answers
200
+
cloud jobs performed
100
x
faster understanding
2+
FTEs
Agent capacity added
"40% of enterprise applications will be integrated with task-specific AI agents by the end of 2026."
Gartner
"Agents are the new cloud." AWS is "rebuilding the cloud around agentic systems that can learn, reason and act."
AWS
End the toil tax.
Free your engineers.
Your engineers are too good for grunt work. Findings aren't fixes; five tools' worth of digging is the tax. AlertD's agents deliver the context, cloud and LLM infra alike, and hand the decisions back to you and your team. Your agents, 24×7×365, on what matters most to you.
"Our tools flag 400 issues a week. Guess who gets to figure out which matter."
Discovery without context is just more work, assigned to you and your team.
"The AI team shipped four new services last sprint. Nobody told security."
Apps now ship at machine speed. Ops at human speed will not work anymore.
"I found the Bedrock bill in the invoice. That's where we track it."
LLM spend is volatile, invisible, and nobody's job — until it's yours.
Specialist agents, always ready. Context in seconds.
Security
Reasons across security groups, IAM, and more. Findings ranked with proposed remediations.
Cost
Rightsizing, idle resources, zombie EKS pods, GPU waste with continuous analysis.
Compliance
Artifacts pulled from your live environment, mapped control by control.
Performance
CPU, memory, and 5xx storms traced to the exact resource and cause, with the fix path.
The same agents reach the jobs that used to need their own point tool or consultant.
Ask what's reachable from the internet right now, account by account, and the config that makes it so.
Internet-facing exposure
Ask who can touch what: unused admin roles, over-broad policies, credentials nobody rotated.
Cloud identity & entitlements
Ask what you're running, everywhere: every account, every region, one live inventory on demand.
Cyber asset inventory
Ask how a misconfiguration chains toward your data, and which single fix breaks the chain.
Attack-path analysis
Ask why it broke. The agents correlate metrics, config, and deploys into a cause with a fix path.
AIOps / incident investigation
Ask what your models cost and do: tokens, spend per feature, and what caused the spike.
LLM observability
Ask where reality drifted from your IaC, and get the diff that closes it.
IaC drift & analysis
Ask what's public, unencrypted, or shared too widely, down to the exact resource.
Data exposure & encryption posture
See it, don't take our word for it.
Hundreds of controls checked continuously.
A ranked to-do list with dollar amounts, not a spend graph. 'Do this first' is the whole philosophy in three words.
2,040 volumes, classified automatically into 170 peer cohorts and judged against their peers. No thresholds to tune by hand.
The agent works in the open: you see the data, then the reasoning. It discovers 4,280 services and works across millions of relationships to the ones that matter. Ask about attack surface, disaster recovery, anything in your cloud
Every model your apps touched in 30 days — 3.4 billion tokens metered, priced from the ingested AWS price list, cache discounts included. Unpriced models get flagged, not silently ignored.
The agents are wherever you already are.
Agents democratize cloud intelligence. Anyone asks from their favorite tool.
# SLACK
# SLACK
Dana Okafor 6:45 AM
@Flappy I've had several AWS cost anomalies, please investigate and give me a summary
Flappy APP 6:47 AM
Investigated 3 anomalies this week. Biggest driver:
us-west-2 NAT gateway traffic up 4.1× since Tuesday's deploy — about $212/day. Two smaller: an idle GPU node group and 14 unattached EBS volumes. Summary + proposed fixes attached. 🧾No new tab.
Ask in the channel. The finding, the context, and the proposed fix come to you.
>_ MCP · GA · WORKS WITH CLAUDE CODE
>_ MCP · GA · WORKS WITH CLAUDE CODE
Your agents can ask our agents.
Your coding agent sees all of AWS through the AlertD MCP server.
Built for your automation mandate.
For companies tired of buying more tools and hiring more people just to get the job done faster and better. Send in the agents.
Engineering leadership
CTO, CIO, VP Eng with a mandate to automate cloud ops. AlertD is the mandate, executed: agents on 24×7×365, humans approving what matters.
DevOps & SRE
You wanted to automate this anyway. Agents do the discovery and context work; you review diffs instead of building dashboards.
Developers, when they need it
The day security, cost, or compliance lands on you — ask in plain English, get the answer with receipts, get back to building.
Security · FinOps · Compliance
Start with the domain that supports your business, whether it is risk posture, spend management, or audit evidence, and expand from there.
Value in 45 minutes.
~15 MIN
Install
One CloudFormation template from AWS Marketplace, into your private VPC.
~30 MIN
Ingest
A live graph of resources, metrics, pricing, relationships. LLM stack included.
~60 SEC
Answers
First findings, ranked, each with a proposed fix attached ready for your workflow.
24×7×365
Teammates
The agents don't clock out. They are available to you 24×7 in Slack, MCP, or the portal.
LLM spend spikes 10× overnight. We watched it happen.
One production account: $600/day to $90,000/day, no warning, one day in five. AlertD meters every token daily, shows cost per feature, and flags budget breaches the day they start. Same agents, same VPC.
"Tokens are the atomic unit of AI." — FinOps Foundation
Human driven tools vs. AlertD agents.
Human-driven tools
Gather
You query five tools and a wiki
Understand
Dashboard archaeology at 2am
Pay
Per-seat, host, workload, up front
Fix
A work ticket, not a fix
A suite of outcomes. A fraction of the cost.
The human-driven stack charges twice: license fees for tools that surface data, then your engineers' hours to turn data into decisions. AlertD's agents charge for the work they perform.
IDC predicts that by 2028, "pure seat-based pricing will be obsolete as AI agents rapidly replace manual repetitive tasks with digital labor."
No upfront annual contracts
Old software makes you commit before it proves value. That's bogus! Try AlertD free. Pay when it delivers.
No per-seat, per-host or per-workload pricing
Traditional software charges for access and infrastructure. AlertD charges for work agents perform.
No runaway or hidden costs
Usage pricing needs guardrails. Set your budget and see exactly how agents use your credits.
No long term commitments
Old software locks you in, even when it stops delivering. AlertD earns your business every day.
Build, buy… or both.
01
Running agents across every account is a big lift.
Wiring an agent to one service is doable. An AWS Organization is different physics: cross-account IAM, rate limits, millions of graph edges. The danger isn't a DIY bot that crashes. It's one that silently misses half your cloud.
02
The hard part isn't the prompt. It's the proof.
Production agents need regression suites, scored end-to-end runs, and guardrails that stop bad actions. AlertD ships with all three built in. Skip them and you join Gartner's 40% of agentic projects canceled by 2027.
03
Native agents watch one lane each.
Hyperscalers ship one agent per domain. The biggest AWS spenders build their own with permanent upkeep. AlertD covers your whole Organization with one unified context graph: your cloud state, normalized and queryable.
04
Keep your agents. Ours will brief them.
Committed to building your own? OK. Connect them over MCP, the same open standard AWS builds its own agents on. Your agents and ours working together to help you and your team.
Sources: Menlo Ventures, Gartner.
Your VPC. Your models. Your call.
The agents do the grunt work. You get the context. The decisions stay yours.
Runs in your AWS VPC
Not a SaaS. Delivered as a container on Amazon ECS, deployed inside your perimeter. Your operational data never leaves.
Your own LLM
Bring your model via Amazon Bedrock: Claude, Llama, or your private LLM. Prompts and reasoning stay inside your boundary.
Read-only access
AlertD holds no write permissions. Fixes arrive as diffs, ready for your PR workflow. Nothing changes unless your team changes it.
Gartner calls it “Act with Approval”: AlertD agents propose, you approve, your pipeline applies.
AWS Marketplace
Try it there. Buy it there.
One CloudFormation template, 15 minutes, free 30-day trial. When you buy, the purchase lands on your existing AWS bill under standard AWS Marketplace contract terms. Procurement already approved this vendor, and Marketplace spend can count toward your AWS commit.
1
Subscribe on AWS Marketplace
2
Deploy the template in your VPC
3
First answers within the hour
4
Buy on your AWS bill, standard terms
Measured in production.
10
%
AWS infra cost
100
x
faster diagnostics
100
P0s identified in minutes
Seconds
to audit artifacts, not days
From production deployments; first-30-days figure reflects a typical org-wide rollout.
"We've achieved insights on our AWS environment in seconds that would normally take hours."
SR. DIRECTOR OF DEVOPS · GEOSPATIAL INTELLIGENCE COMPANY ON AWS
SR. DIRECTOR OF DEVOPS · GEOSPATIAL INTELLIGENCE COMPANY ON AWS
AWS-first. Built to travel.
AWS
When security, cost, compliance, or LLM work lands on you, ask in plain English, get the answer with context to act, and get back to building.
Azure & GCP
We built for AWS first because our customers wanted us to start there. The architecture is cloud portable. Azure and GCP are on the roadmap.
VARs · SIs · MSPs
One deployment, many clients. If you operate AWS for others, AlertD's agents are leverage. Talk to us about partnership opportunities.
