What can the agents do without a person?

Only what your policy allows. Teams usually let agents disable a leaked key or block a hostile network on their own, and keep rotations, rollbacks and anything customer-facing behind an approval.

Why four agents and not one tool?

An attack has stages: a risky change, an exposure, an alert, a gap left open. Review, Cyber, Resolve and Automation each cover one stage, under one policy and one audit trail.

Does this replace our SIEM or EDR?

No. They keep detecting. CloudThinker reads their findings, investigates them and takes the next step, so your existing tools become faster, not redundant.

How does this help with attacks that use AI?

AI lets attackers scan and exploit faster than a person can triage. Agents close that gap: they investigate and contain in minutes, and close known gaps on schedule before they are found.

AWS AI Advanced Partner

SOC 2 Type II

4.7

Frontier Governancefor Cyber Defense

Review, Cyber, Resolve and Automation hold one line of defense against AI-speed attacks, every action inside your policy.

Attackers now use AI to find and exploit a weakness in minutes. Four agents hold the line at the same speed: Review, Cyber, Resolve and Automation, each acting inside the policy you set. Every action is approved, logged and provable.

Book a Demo See how it works

Cloud accounts
WAF, edge
Identity
Secrets
Threat detection
SIEM
Git repos
Tickets

CloudThinker Cyber
Defense runs
Approvals

Existing systemsNew with CloudThinkerRead-only connection

The work behind every attack

Attackers now move at machine speed.Your defense still waits in four queues.

01The manual work

Triage

Risky pull requests, scanner findings, security alerts and overdue patches sit in four tools, each waiting for the same small team.

02The agent handoff

Contained

Frontier agents review the change, prove the exposure, investigate the alert and run the runbook, inside the limits your policy sets.

03Your engineers’ role

Approve

Set the policy once. Approve what it reserves for people, and read the audit trail for everything else.

Where CloudThinker fits

Your stack stays.Agents work inside it.

01Signals

Where attacks show up

Amazon GuardDutyThreats in cloud accounts
Microsoft DefenderEndpoint and identity alerts
CloudflareWAF and bot events
GitGuardianLeaked secrets in code

Read-only access

02System of record

Your security stack

AWS Security HubFindings across accounts
WazuhSIEM and host events
JiraSecurity tickets

No change to your tools

03One line of defense

CloudThinker

ReviewStop risky changes before merge
CyberProve what an attacker can reach
ResolveInvestigate and contain attacks
AutomationPatch, rotate and harden

Every action inside your policy

04Response

Approved and logged

GitHubFix as a pull request
SlackApprovals where the team works
PagerDutyPage for what needs a person
Audit trailWho approved what, and when

Evidence for auditors

Logos show common stacks. CloudThinker connects to each one through read-only access you approve.

Example scenario

Tuesday, 02:40. A leaked deploy key is used from an unknown network.Nobody on the security team is awake.

A 200-engineer fintech on AWS with a four-person security team. Policy lets agents disable a leaked CI key on their own; rotation and anything customer-facing need a person.

02:40
GuardDuty firesSignal
API calls with the ci-deploy access key from a network the company has never used. The calls enumerate S3 buckets, fast and scripted.
02:41
Resolve investigatesAgent
CloudTrail shows 214 calls in 90 seconds, all denied or list-only. The key was pushed to a public fork three hours ago.
02:42
Contained inside policyAgent
The leaked key is disabled, as policy allows. The source network is blocked at the WAF. Rotation is prepared and the on-call engineer is paged.
02:47
Rotation approvedYour team
The on-call security engineer reviews the evidence in Slack and approves. Automation rotates the key and updates the pipeline secret.
02:55
Cyber retestsAgent
The attacker’s calls are replayed with the old key: all denied. Other repos are checked for the same secret pattern: none found.
09:12
Review holds the lineAgent
A new pull request adds a hardcoded token. Review blocks the merge until the token moves to the vault.

#sec-incidents4 messages

Amazon GuardDuty02:40
UnauthorizedAccess: ci-deploy key used from an unfamiliar network.
CloudThinker02:42
Contained. ci-deploy key disabled (allowed by policy), source network blocked at the WAF. 214 calls, no object read. The key leaked in a public fork at 23:38. Rotation is ready for approval.
On-call security engineer02:47
Evidence checks out. Approved.
CloudThinker02:55
Rotated and retested. The old key is denied everywhere, the pipeline runs on the new one, and no other repo holds the same secret. Timeline added to the audit trail.

from alert to contained: 2 min
from alert to verified rotation: 15 min
person woken, to approve: 1

An illustrative example. Team, systems and times are representative, not a specific customer.

Frontier governance agents

Four agents. One line of defense.Every action inside your policy.

Each agent covers one stage of an attack, and all four share one policy and one audit trail, so defense runs at machine speed and every step stays provable.

Review: stop it before merge: Hardcoded secrets, broken authorization and risky dependencies caught in the pull request, including code written by AI assistants.
Cyber: prove what is reachable: The attack surface tested the way an attacker would, with a safe proof for each exposure and a retest after the fix.
Resolve: investigate and contain: Security alerts investigated to a root cause with evidence, and contained by the actions your policy allows.
Automation: patch, rotate, harden: Patching, key rotation and hardening runbooks run on schedule, so known gaps close before anyone finds them.

What changes

Same team. Same tools.Far less of the work by hand.

Moment	Today	With frontier agents
Time to contain	When someone wakes up and finds the right console	Minutes, inside the actions policy allows
Risky code	Found in the next pentest	Blocked in the pull request
Exposures	A scanner list, argued over	Proven exploitable or ruled out
Patches and rotations	A backlog that slips every quarter	Run on schedule, with approvals where needed
Evidence	Rebuilt by hand before each audit	One audit trail across all four agents

Integrations

Connects to the rest of your stack.Read-only to start.

Amazon GuardDuty
AWS Security Hub
AWS CloudTrail
Microsoft Defender
CrowdStrike
Cloudflare
Wazuh
GitGuardian
GitHub
GitLab
Jira
Slack
PagerDuty

Adoption path

One pilot.Then company-wide.

The rollout follows the four phases of the AWS Cloud Adoption Framework, so it fits the plan your cloud team already runs.

01Envision
Map the line of defense
Pick one critical application and list where its attacks would show up, from pull request to production alert.
02Align
Write the policy
Decide which actions agents may take alone, such as disabling a leaked key, and which always need a person.
03Launch
Turn on the four agents
Start Review on its repos, Cyber on its attack surface, Resolve on its alerts and Automation on its patch and rotation runbooks.
04Scale
Widen and report
Bring each application under the same policy, and use the shared audit trail as evidence for customers and auditors.

Customer proof

Amela.Results on the record.

Hardened its AWS foundation and cut incident response from hours to minutes.

Read the case study

from alert to root cause and a validated fix: < 30 min

AWS guidance

Built the way AWS says to run it.Reviews start from a known reference.

Trust and control

Agents do the work.Your team keeps control.

You approve every change: Agents propose. Nothing touches production until someone on your team says yes, and you set that rule per system.
Every action on the record: Each step is logged, attributed and reversible, ready for your auditors.
Certified for enterprise: SOC 2 Type II and ISO 42001, with reports in our trust center.
Runs where you need it: In our cloud, through AWS Marketplace, or inside your own account.

Questions

What teams askbefore they start.

What can the agents do without a person?: Only what your policy allows. Teams usually let agents disable a leaked key or block a hostile network on their own, and keep rotations, rollbacks and anything customer-facing behind an approval.
Why four agents and not one tool?: An attack has stages: a risky change, an exposure, an alert, a gap left open. Review, Cyber, Resolve and Automation each cover one stage, under one policy and one audit trail.
Does this replace our SIEM or EDR?: No. They keep detecting. CloudThinker reads their findings, investigates them and takes the next step, so your existing tools become faster, not redundant.
How does this help with attacks that use AI?: AI lets attackers scan and exploit faster than a person can triage. Agents close that gap: they investigate and contain in minutes, and close known gaps on schedule before they are found.

Go deeper