Automations
This pillar addresses multi-cloud workflows that detect drift, exposed storage, and policy violations before they become incidents or audit findings. Pages should show how a custom CSPM workflow automates detection and remediation across cloud, Kubernetes, and IaC environments while improving compliance readiness and reducing security operations toil.
This page details a custom multi-agent workflow that continuously scans AWS, Azure, and GCP environments for configuration drift, exposed assets, and policy violations, orchestrating detection, prioritization, and remediation actions. The architecture reduces manual triage overhead, cuts incident response time, and provides a unified compliance dashboard, connecting cloud APIs, policy engines, and ticketing systems into a single operational loop.
This page explains a custom agentic workflow that autonomously discovers publicly accessible S3, Blob, and Cloud Storage buckets, assesses their risk context, and applies remediation (like access policies or encryption) or escalates for review. The implementation reduces data breach exposure and manual scanning effort by integrating continuous discovery agents with cloud SDKs, risk scoring logic, and automated remediation playbooks.
This page outlines a custom workflow where specialized agents scan Kubernetes clusters for CIS benchmark violations, insecure pod specs, and network policy gaps, then trigger automated corrections or admission controller updates. The architecture improves cluster security posture and compliance velocity by connecting k8s API watchers, policy-as-code engines, and GitOps pipelines for enforcement.
This page details a custom detection workflow that analyzes IAM policies, trust relationships, and usage logs to identify over-privileged roles, shadow admins, and permission drift across cloud accounts. The solution reduces privilege escalation risk and audit preparation time by combining graph analysis, behavior baselining, and automated alerting integrated with IAM platforms like Okta or Azure AD.
This page describes an agentic workflow that continuously monitors cloud logs, network flows, and billing data to detect and inventory resources deployed outside of approved governance channels. The implementation gives FinOps and security teams visibility into unauthorized spend and risk, using anomaly detection and resource tagging agents to route findings for review or automated shutdown.
This page focuses on the remediation half of the exposure problem, detailing a custom workflow that not only finds public buckets but also automatically applies least-privilege ACLs, enables encryption, or triggers isolation based on data classification. The build ties detection to safe, auditable action, reducing mean-time-to-remediate (MTTR) and operational load on cloud security teams.
This page explains a custom enforcement workflow that validates and applies Pod Security Standards (PSS) or custom security contexts across namespaces, automatically quarantining or rolling back non-compliant workloads. The architecture prevents runtime vulnerabilities by integrating admission controllers, CI/CD gates, and runtime agents within a GitOps-driven security model.
This page details a workflow where cost and security agents collaborate to detect anomalous spending (like cryptojacking) or quota breaches, then trigger resource scaling, shutdown, or budget enforcement actions. The solution protects against financial loss and resource exhaustion by connecting CloudWatch, Cost Explorer APIs, and automated remediation logic with approval gates.
This page outlines a custom workflow that scans container registries for CVEs, identifies the base images or libraries in need of updates, and automatically rebuilds and redeploys patched images through the CI/CD pipeline. The implementation reduces vulnerability dwell time and manual patching cycles by integrating Trivy/Snyk scans, image rebuild automation, and deployment orchestration.
This page describes an incident response workflow where agents, upon detecting malware or suspicious behavior via EDR or network logs, automatically isolate EC2 or VM instances by modifying security groups or triggering AWS SSM quarantine runbooks. The architecture contains breaches faster by connecting detection tools to cloud-native isolation APIs with defined escalation paths.
This page explains a custom FinSecOps workflow that identifies unattached EBS volumes, idle load balancers, and unused IP addresses, then triggers automated cleanup or notifies owners after a grace period. The implementation reduces waste and attack surface by combining resource discovery agents, ownership tagging logic, and safe deletion procedures integrated with cloud asset management.
This page details a custom workflow that continuously audits NSG, NACL, and firewall rules for overly permissive or shadow rules, and automatically tightens them based on observed traffic patterns and compliance policies. The solution reduces manual rule review and misconfiguration risk by integrating flow log analysis, policy engines, and automated rule update APIs.
This page outlines a custom compliance workflow that maps cloud resource configurations and controls to multiple regulatory frameworks in real-time, generating evidence packs and gap reports. The architecture slashes audit preparation time by connecting CSPM findings to compliance rule sets and document generation agents, with human review checkpoints.
This page focuses on the evidence-gathering component, detailing a workflow where agents automatically collect screenshots, configuration snapshots, and log excerpts to satisfy specific audit control requirements. The implementation creates a defensible, automated audit trail by orchestrating data collection from cloud consoles and APIs into structured evidence repositories.
This page describes a workflow where analysis agents compare current cloud posture against evolving standards like NIST CSF or CIS Benchmarks, prioritizing gaps and recommending remediation steps. The solution keeps compliance programs proactive by integrating regulatory intelligence feeds, control mapping logic, and ticketing systems for gap closure.
This page explains a custom workflow that uses Open Policy Agent (OPA) or similar engines to evaluate Terraform, CloudFormation, and ARM templates against security policies, blocking non-compliant deployments automatically. The architecture enforces guardrails at scale by integrating policy agents into CI/CD pipelines, infrastructure portals, and pre-commit hooks.
This page details a shift-left workflow where agents scan Terraform, CloudFormation, and Pulumi code in the pull request phase for misconfigurations, secrets, and policy violations, providing fix suggestions. The implementation prevents vulnerable infrastructure from being provisioned by combining static analysis, LLM-powered fix generation, and developer feedback loops.
This page outlines a custom remediation workflow that detects configuration drift between IaC definitions and live cloud resources, then automatically generates and applies correction plans or alerts engineers. The solution maintains infrastructure integrity and compliance by connecting drift detection tools, plan simulation, and automated apply workflows with approval gates.
This page describes a workflow where agents continuously scan Git repositories for hardcoded API keys, passwords, and certificates, automatically revoking exposed secrets and alerting teams. The implementation reduces secret sprawl and breach risk by integrating tools like TruffleHog, secret rotation APIs, and incident management platforms.
This page details a proactive workflow where agents assess k8s cluster settings (API server flags, etcd encryption, audit logging) against hardening guides and automatically apply secure configurations. The architecture reduces manual hardening effort and baseline drift by integrating CIS benchmark checks with Kubernetes operators and GitOps workflows for configuration management.
This page explains a runtime workflow where agents monitor container behavior for suspicious processes, network calls, or file system changes, and automatically block or alert based on Falco or similar rules. The solution provides real-time protection by integrating runtime security agents with Kubernetes response actions and SOC workflows.
This page focuses on network micro-segmentation, detailing a workflow that detects pods communicating outside defined network policies and automatically quarantines them or suggests policy updates. The implementation enforces zero-trust networking by combining flow analysis, policy generation logic, and automated kubectl or Istio updates.
This page outlines a custom identity governance workflow that analyzes user and service account permissions, usage patterns, and role assignments to recommend and execute access removals. The architecture reduces excessive privilege and compliance risk by connecting IAM analytics to automated deprovisioning steps and access certification campaigns.
This page details a privileged access management workflow where agents grant elevated cloud permissions for a limited time based on approved requests, then automatically revoke access. The solution minimizes standing privilege by integrating request portals, approval workflows, and cloud IAM APIs to create ephemeral, auditable access.
This page describes a threat detection workflow that uses graph analysis to identify dangerous IAM permission chains and potential escalation paths that could lead to admin compromise. The implementation uncovers hidden risks by modeling trust relationships and permission dependencies, triggering alerts for security review and remediation.
This page explains a compliance workflow that continuously monitors IAM settings to ensure MFA is enabled on all privileged accounts, automatically enforcing it via API or disabling non-compliant accounts. The architecture strengthens authentication posture by integrating with AWS IAM, Azure AD, or Okta to apply policies without manual intervention.
This page details a data security workflow where agents scan S3, Blob Storage, and BigQuery for PII/PHI using NLP and pattern matching, then automatically apply classification tags and encryption. The solution improves data governance and privacy compliance by integrating discovery engines with cloud DLP and tagging APIs.
This page outlines a cryptographic control workflow that schedules and executes the rotation of KMS, CloudHSM, and managed service encryption keys based on policy, ensuring compliance and reducing manual key management overhead. The implementation automates a critical but tedious task by orchestrating key rotation APIs, alias updates, and dependency checks.
This page describes a custom DLP workflow where agents monitor data egress channels (like cloud storage APIs and data transfer services) for policy violations and automatically block or quarantine sensitive data. The architecture prevents data exfiltration by integrating cloud-native DLP with network proxies and automated response actions.
This page details a proactive security workflow where hunting agents analyze VPC Flow Logs, CloudTrail, and GuardDuty findings to uncover advanced threats like lateral movement or data staging, generating investigation reports. The solution scales analyst capacity by using LLM-powered query generation, anomaly correlation, and automated playbook execution.
This page explains a workflow that ingests external threat intelligence (IPs, domains, hashes) and automatically creates or updates CSPM rules and security group policies to block known malicious indicators. The implementation improves defensive agility by connecting threat feed APIs to cloud security control surfaces for real-time policy updates.
This page outlines a continuous assessment workflow where agents discover all internet-facing cloud assets, evaluate their vulnerability and exposure, and calculate a dynamic risk score for prioritization. The architecture provides executive visibility and drives remediation focus by integrating asset discovery, vulnerability data, and business context into a live dashboard.
This page focuses on custom SOAR workflow development, detailing how to build multi-step playbooks that automatically enrich alerts, execute containment actions across cloud APIs, and update ticketing systems. The implementation standardizes and accelerates incident response by connecting SIEM, cloud consoles, and communication platforms with conditional logic.
This page details a FinSecOps workflow where agents analyze CPU, memory, and disk utilization to identify over-provisioned instances and databases, then automatically generate and execute resizing plans. The solution reduces cloud waste and cost by integrating performance metrics, pricing data, and safe change automation with approval workflows.
This page explains a cost control workflow that identifies development, staging, and testing resources by tags or naming conventions, and automatically shuts them down during off-hours. The implementation enforces resource hygiene by scheduling Lambda functions or using instance schedulers, with exemptions for critical workloads.
This page describes a governance workflow where agents analyze untagged cloud resources, infer their purpose (e.g., 'production-web-server'), and automatically apply consistent cost allocation and security tags. The solution improves operational visibility and policy enforcement by using LLMs for context inference and cloud APIs for tag application.
This page outlines a financial security workflow that monitors cloud spending for unexpected spikes (indicative of compromise or error) and automatically triggers alerts, budget holds, or resource investigation. The architecture protects against runaway costs by integrating Cost Anomaly Detection services with automated notification and intervention logic.
This page details an industry-specific workflow that continuously monitors AWS, Azure, and GCP for HIPAA-mandated controls like encryption, access logging, and BAAs, automating evidence collection and gap remediation. The implementation reduces audit burden for health tech companies by tailoring CSPM rules to the HIPAA Security Rule and orchestrating compliant configurations.
This page explains a custom workflow for banks and fintechs, automating the mapping and validation of cloud controls against PCI DSS and GLBA requirements, with automated evidence gathering and reporting. The architecture addresses stringent financial regulations by integrating specialized compliance packs, secure logging agents, and automated patch management for cardholder data environments.
This page outlines a workflow for public sector and contractors, automating the continuous monitoring and evidence generation required for FedRAMP Moderate/High and CMMC Level 3 compliance in cloud environments. The solution tackles complex government frameworks by orchestrating control assessments, POA&M management, and automated system security plans (SSP) updates.
This page details a focused IAM workflow where agents specifically hunt for service accounts with excessive permissions or long-lived credentials, automatically recommending least-privilege roles or triggering key rotation. The implementation reduces a critical attack vector by combining permission analysis, usage auditing, and automated remediation suggestions integrated with secret managers.
This page explains a cryptographic hygiene workflow that scans for expired SSL/TLS certificates and IAM access keys, automatically revoking them and notifying owners to prevent service disruption. The architecture eliminates manual certificate lifecycle management by integrating with ACM, Certificate Manager, and IAM APIs to enforce expiration policies.
This page describes a compliance assurance workflow where agents not only check configurations but also actively test security controls (e.g., can a public bucket truly be accessed?) to validate their effectiveness. The solution moves beyond configuration checking to actual validation, integrating synthetic testing agents with CSPM findings for higher-confidence compliance reporting.
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