AgenticOps automation · Security

Automate Threat Model Template with AgenticOps — auto-remediate findings under policy

Running Threat Model Template is easy; closing what it finds before it becomes an incident is the hard part. AgenticOps wires Threat Model Template into an autonomous Detect → Analyze → Remediate → Verify loop so cloud security findings get triaged, fixed, and proven closed under your team's policy — with engineers on the loop, not lost in a backlog.

Connect & Discover How Connections work

Grounded in your stack

Controlled by your policy

Verified after every action

The operational work this removes

Thousands of Threat Model Template findings pile up faster than the security team can triage them, so criticals sit next to noise and MTTR climbs
Every finding is manually mapped to an owner, a fix, and a Jira ticket — the same misconfiguration keeps reappearing because nothing closes the loop
Auditors ask for SOC 2 / CIS / PCI evidence and there is no tamper-evident record of who remediated what, when, and who approved it
Over-permissive IAM roles and public exposure are flagged but never right-sized, because engineers fear breaking prod by tightening them blindly
Remediation scripts run with standing admin credentials, so the fix is riskier than the finding — the opposite of what security wants
Nobody trusts auto-remediation because there is no dry-run, no blast-radius check, and no rollback if the fix regresses

From signal to verified action

CloudThinker investigates the signal, proposes or executes the safe action your policy allows, then verifies the outcome.

01 · Detect

Detect the Threat Model Template signal

Threat Model Template runs on a continuous schedule and its findings stream into CloudThinker normalized to a common schema (resource, severity, control ID, framework mapping — CIS, SOC 2, PCI DSS). Duplicate and already-accepted findings are suppressed so engineers see only what actually changed since the last scan.

02 · Analyze

Analyze the root cause

For each finding, the agent pulls surrounding context — the resource's config, IAM reachability, network path, data classification, and recent CloudTrail activity — to score real exploitability, not just raw severity. It clusters related findings to one root cause (e.g. a permissive SCP fanning out to 40 findings) and drafts a fix plan with an explicit blast-radius assessment.

03 · Remediate

Remediate under policy

The agent proposes a concrete change — a least-privilege IAM policy, a bucket policy tightening, a patched image tag, a security-group rule removal — executed in a sandbox with brokered, time-boxed credentials (never standing admin). Graduated autonomy governs action: L1 recommends, L2 opens a PR/ticket, L3 auto-applies low-risk reversible fixes, L4 handles pre-approved runbooks end-to-end. Anything above the team's policy threshold pauses for an engineer on the loop to approve.

04 · Verify

Verify and record

After applying, the agent re-runs the relevant Threat Model Template check to confirm the finding clears, validates no dependent service regressed, and — on failure — rolls back automatically. Every step (input, decision, credential grant, diff, approver) is written to a tamper-evident audit trail that doubles as continuous compliance evidence.

Evidence and proposed action

$ cloudthinker remediate --source Threat Model Template --finding SEC-4471

Detect   Threat Model Template · SEC-4471 · CRITICAL · CIS 1.16 / SOC2 CC6.1
         IAM role "ci-deploy" has AdministratorAccess (standing)
         Root-caused 12 related findings to this one policy

Analyze  Reachability: assumable by 3 CI principals
         Used actions (90d CloudTrail): 41 of 8,000+ granted
         Exploitability: HIGH (broad blast radius, no MFA gate)
         Blast radius: 3 pipelines · rollback: policy-version pin

Remediate  Plan: replace AdministratorAccess with generated
           least-privilege policy scoped to 41 observed actions
           Autonomy: L2 (change exceeds auto-apply threshold)
           Credentials: brokered, 15-min TTL, sandbox dry-run OK
           -> Awaiting approval from engineer on the loop

Verify   [after approval] re-scan SEC-4471 ....... CLEARED
         12 linked findings ..................... CLEARED
         CI smoke test (3 pipelines) ............ PASS
         Audit: signed, mapped to SOC2 CC6.1 evidence

What the agent understands

Guides teams through a structured threat modeling exercise using the STRIDE methodology. This template helps identify threats, assess risks, and define mitigations for a system or feature, producing a

Related automations

More automations in the same category.

AquaAqua Security platform analysis. Covers container runtime protection, image assurance policies, compliance frameworks, vulnerability management, workload protection, and registry scanning. Use when analyzing container security posture, reviewing image compliance, investigating runtime alerts, or ...CheckovCheckov infrastructure-as-code security scanning. Covers Terraform, CloudFormation, Kubernetes, and Dockerfile scanning, policy management, custom checks, compliance frameworks, and suppression management. Use when scanning IaC for security misconfigurations, evaluating compliance, managing custo...DependabotDependabot and Renovate dependency update management. Covers vulnerability alerts, dependency update PRs, auto-merge configuration, version pinning, update scheduling, and security advisory tracking. Use when managing dependency updates, reviewing vulnerability alerts, configuring auto-merge poli...KubescapeKubescape Kubernetes security posture analysis. Covers NSA/CISA framework assessment, MITRE ATT&CK mapping, CIS Kubernetes benchmarks, workload scanning, RBAC analysis, and network policy evaluation. Use when assessing Kubernetes cluster security, evaluating compliance frameworks, or analyzing wo...ProwlerProwler cloud security assessment tool. Covers AWS, Azure, and GCP security posture assessment, CIS benchmark evaluation, compliance frameworks (PCI-DSS, HIPAA, SOC2), multi-account scanning, and remediation guidance. Use when assessing cloud security posture, running compliance audits, or invest...SemgrepSemgrep static application security testing (SAST). Covers code scanning, custom rule creation, CI integration, autofix capabilities, multi-language support, and vulnerability triage. Use when scanning source code for security vulnerabilities, creating custom detection rules, or integrating SAST ...

See what AgenticOps can run safely in your stack.

Connect CloudThinker to map the signals, tools, and runbooks already in your environment. You choose the approval level; every action stays attributable and auditable.

Connect & Discover Browse all automations