Automations
This pillar addresses access-control workflows that continuously evaluate identity, device state, biometric behavior, and contextual risk before granting or revoking privileges. Content should show how a custom zero-trust workflow improves security posture, reduces friction for legitimate users, and ties adaptive policy decisions into IAM and PAM environments.
This foundational page outlines the architecture for a custom, end-to-end zero-trust workflow that continuously evaluates identity, device health, and contextual risk to make adaptive access decisions. It details how to orchestrate agents across IAM, PAM, and endpoint security systems to reduce manual policy management, shrink the attack surface, and create a frictionless yet secure user experience. The implementation blueprint covers real-time data ingestion, risk-scoring logic, policy enforcement APIs, and the observability layer required for enterprise deployment.
This workflow automates the entire employee onboarding sequence, from HR system triggers to provisioning access across AD, SaaS apps, and on-prem systems based on role, department, and manager approval. It eliminates manual ticketing and reduces the risk of over-provisioning by using orchestrated agents to validate requests, enforce segregation of duties, and log all actions for audit. The page details integration with Workday, ServiceNow, and IAM platforms to achieve faster time-to-productivity and consistent compliance.
This page explains a custom workflow that automatically provisions and de-provisions contractor access based on project timelines and manager approvals. It uses agents to validate contractor identity, assign time-bound roles, and integrate with vendor management systems to enforce least privilege. The architecture reduces security risk from stale accounts, automates compliance reporting, and cuts administrative overhead for procurement and IT teams managing dynamic workforces.
This workflow automates the intake, analysis, and routing of access requests using LLM agents to interpret natural language requests, check policy compliance, and escalate only exceptional cases to human reviewers. It connects to ServiceNow, Slack, and IAM systems to reduce helpdesk ticket volume and approval cycle times. The page details the decision logic, approval gate design, and audit trail generation needed for scalable, policy-driven access management.
This page details a production workflow that continuously authenticates users by analyzing typing patterns, mouse movements, and device interaction signals against a behavioral baseline. It explains how to build a real-time scoring agent that triggers step-up authentication or session termination upon detecting anomalies, reducing reliance on static MFA and improving security against credential theft. The architecture covers data pipeline design, model serving, and integration with access gateways like Okta or Azure AD.
This workflow automates the verification of endpoint security posture (patch level, encryption, EDR status) before granting network or application access. It details how agents poll MDM and EDR systems, score device risk, and feed results into conditional access policies in ZTNA or SASE platforms. The implementation reduces the attack surface from non-compliant devices and automates remediation workflows, cutting manual IT support tasks.
This page explains how to build a custom risk engine that synthesizes user identity, device health, geolocation, network reputation, and behavior patterns into a real-time risk score for access decisions. It covers the multi-agent architecture for data ingestion, scoring logic, and policy enforcement, showing how to reduce false positives in block/allow decisions and dynamically adjust authentication requirements. The business case focuses on improving security efficacy while minimizing user friction.
This workflow automates the decision of when to require additional authentication factors based on real-time risk signals rather than static rules. It details how agents monitor session context, transaction value, and threat intelligence to invoke adaptive MFA, reducing unnecessary friction for low-risk actions while securing high-value operations. The page covers integration with authentication platforms, user notification flows, and the logging required for compliance audits.
This page details a custom PAM workflow that grants elevated privileges only for specific, approved tasks and automatically revokes them after a timeout or completion. It explains the agentic orchestration between ticketing systems, PAM vaults, and target systems (e.g., SAP, Oracle) to eliminate standing admin privileges. The architecture reduces the risk of credential misuse and lateral movement, while providing full session recording and audit trails for compliance.
This workflow automates the oversight of privileged sessions by using agents to monitor keystrokes, commands, and screen activity in real-time, flagging suspicious behavior for analyst review. It details integration with PAM solutions and SIEMs to reduce manual monitoring burden and accelerate incident detection. The page covers the alerting logic, forensic data retention, and human-in-the-loop escalation paths required for operational security teams.
This page explains a custom workflow that automatically rotates API keys, database passwords, and service account credentials on a schedule or in response to security events. It details the agentic coordination between secrets vaults (Hashicorp, AWS Secrets Manager), CI/CD pipelines, and dependent applications to eliminate manual rotation errors and reduce the window of exposure. The architecture includes rollback safeguards, dependency mapping, and compliance reporting.
This workflow automates the periodic review of user entitlements by using AI agents to analyze usage patterns, role changes, and business context to recommend revocations. It connects to IGA platforms to launch certification campaigns, route recommendations to managers, and execute clean-up actions, drastically reducing the manual effort of access reviews and the risk of orphaned accounts. The page details the analytics, approval workflow, and integration patterns.
This page details a custom workflow that continuously monitors user entitlements across ERP systems (SAP, Oracle) to detect and flag potential SoD conflicts in real-time, rather than during periodic audits. It uses graph analysis and rule-based agents to identify risky permission combinations and automatically trigger remediation tickets. The implementation helps prevent fraud and operational errors, while simplifying compliance with SOX and other regulations.
This workflow automates the propagation of user identity changes (joiner, mover, leaver) from a core HR system to dozens of SaaS applications like Salesforce, Workday, and Slack. It details the multi-agent architecture for handling API variances, error recovery, and conflict resolution, ensuring consistency and eliminating manual provisioning errors. The business case focuses on reducing IT overhead and improving security through timely de-provisioning.
This page explains how to build a custom ZTNA policy engine that evaluates device compliance, user identity, and application sensitivity to make granular access decisions. It details the orchestration between endpoint detection and response (EDR) tools, IAM, and ZTNA gateways to automate access grants or denials, replacing static VPN rules. The architecture improves security for remote workers and reduces the manual overhead of firewall management.
This workflow automates the enrollment, policy enforcement, and access control for personal devices in a BYOD program. It uses agents to guide users through compliance checks, install required agents, and dynamically adjust application access based on real-time device posture. The page details integration with MDM, conditional access policies, and self-service portals to balance security with user experience, reducing IT support tickets.
This page details a workflow that automatically restricts network or application access for devices missing critical security patches. It explains how agents query patch management systems (e.g., WSUS, Intune), correlate data with user identity, and enforce dynamic policies in NAC or ZTNA systems. The automation reduces vulnerability exposure, enforces compliance, and triggers automated remediation workflows, freeing up security operations.
This workflow automates the intelligent selection of MFA methods (SMS, push, FIDO2) by evaluating the risk level of each login or transaction in real-time. It details the agentic logic that considers user location, device trust, and action sensitivity to choose the least intrusive yet secure factor, improving user experience while maintaining security. The page covers integration with authentication platforms and the decision audit trail.
This page explains a custom workflow that automates the enrollment, distribution, and revocation of FIDO2 security keys or passkeys across an enterprise. It details agentic processes for provisioning keys to users, integrating with HR-driven lifecycle events, and handling lost or compromised key scenarios. The architecture reduces helpdesk costs associated with MFA resets and accelerates the move toward phishing-resistant authentication.
This workflow unifies physical building access (badge readers) with logical IT system access by using agents to synchronize identity events and risk scores across systems. It details integration between physical security information management (PSIM) software and IAM platforms to automatically revoke building access when an employee is offboarded or flagged as high-risk. The page covers the real-time event processing and policy orchestration needed for converged security.
This page details a custom workflow for a zero-trust API gateway that evaluates JWT tokens, client certificates, and real-time risk signals (like source IP reputation) for each API call. It explains the agentic policy decision point that goes beyond simple authentication to enforce granular, context-aware authorization, protecting against API abuse and data exfiltration. The architecture integrates with API management platforms and provides detailed audit logs.
This workflow automates the distribution and rotation of service identities (mTLS certificates, JWT issuers) across a dynamic Kubernetes or service mesh environment. It details how agents coordinate with service discovery and secret management systems to enforce zero-trust principles for service-to-service communication, reducing the manual toil of certificate management and minimizing the blast radius of a compromise.
This page explains a custom authorization server workflow that dynamically adjusts the OAuth scopes granted to a client application based on the current user's context and risk profile. It uses agents to evaluate the session and shrink or expand permissions in real-time, providing finer-grained control than static scope assignments. The architecture enhances security for third-party app integrations and helps comply with least-privilege principles.
This workflow automates the detection of anomalous API traffic patterns—like credential stuffing, data scraping, or unusual geolocation—and triggers automated responses like rate limiting or IP blocking. It details the agentic analysis of API logs, integration with WAFs and API gateways, and the playbook for incident response. The page focuses on reducing manual SOC analysis and protecting revenue-critical APIs.
This page details a healthcare-specific workflow that grants clinicians temporary, audited access to patient records in an EHR (like Epic or Cerner) only when needed for treatment, based on role and context. It automates the approval and logging process to enforce least privilege and simplify compliance with HIPAA. The architecture integrates with IAM, EHR systems, and clinical context sources to reduce access-related friction for care teams.
This workflow automates the adjustment of a healthcare worker's access permissions to Protected Health Information (PHI) based on their current assignment, department, and patient panel. It uses agents to interpret scheduling systems and clinical context, dynamically updating entitlements in real-time to minimize unnecessary data exposure. The page covers integration with healthcare IAM and the audit controls required for regulatory compliance.
This page explains a custom workflow for emergency access to critical systems (like EHRs) that automates the override process, requiring multi-party approval and justification, while comprehensively logging all actions taken during the emergency session. It details the agentic orchestration of alerts, approvals, and post-event review to balance urgent clinical needs with strict security and compliance requirements.
This workflow implements zero-trust principles for OT environments, granting engineers and contractors granular, time-bound access to PLCs, HMIs, and SCADA systems only after verifying identity, device hygiene, and business justification. It details integration with PAM solutions and OT network monitoring tools to prevent unauthorized access and contain lateral movement, reducing operational risk in manufacturing and energy sectors.
This page details a workflow that automates the enforcement of network segmentation policies in OT environments based on user role, device type, and operational context. It uses agents to dynamically configure firewall rules and network access control lists, isolating critical assets and reducing the attack surface. The architecture improves security posture while accommodating the need for legitimate remote support and contractor access.
This page explains a custom workflow for government and defense contractors that automates access decisions to data and systems based on a user's dynamic clearance level, need-to-know, and data classification labels. It details the agentic policy engine that ingests clearance databases and mission context to enforce complex MLS rules, reducing manual vetting and improving agility for classified projects.
This workflow provides continuous authentication and authorization for users on classified networks, repeatedly verifying identity, device integrity, and behavioral patterns throughout a session. It details the agentic monitoring and real-time risk assessment that can trigger session termination or escalation, going beyond point-in-time login to meet stringent government security requirements like those in NIST SP 800-207.
This page details a workflow that automates the synchronization of user identities and groups from a central directory (like Azure AD) into multi-cloud IAM systems (AWS IAM, Azure RBAC, GCP IAM). It uses agents to handle cloud-specific policy translations and enforce consistent access controls, reducing configuration drift and manual administration overhead for cloud operations teams.
This workflow automates the assignment and management of fine-grained, short-lived identities to Kubernetes pods, enabling zero-trust communication between microservices. It details the agentic coordination with service meshes (Istio, Linkerd) and cloud IAM to bind identities to workloads, automatically rotating credentials and auditing access patterns. This reduces the risk of credential theft and simplifies compliance in containerized environments.
This page explains a custom CIEM workflow that continuously discovers over-permissive IAM roles, unused permissions, and shadow admins across AWS, Azure, and GCP. It uses agents to analyze cloud trails, recommend least-privilege fixes, and—where policy allows—automatically remediate risky entitlements. The architecture reduces cloud security risk and manual audit effort for platform engineering and SecOps teams.
This workflow automates the immediate revocation of user and service account access across all systems as soon as a security incident (like a compromised account) is confirmed by the SOC. It details the agentic playbook that integrates with SIEM, IAM, and PAM systems to contain threats by cutting off lateral movement paths, drastically reducing incident response time and manual coordination.
This page details a custom SOAR-like workflow where coordinated agents execute a sequenced response to an identity-centric breach: isolating accounts, resetting credentials, scanning for lateral movement, and notifying stakeholders. It explains the integration with IAM, endpoint security, and communication platforms to standardize and accelerate response, reducing mean time to contain (MTTC) and analyst burnout.
This workflow automates the continuous collection, correlation, and formatting of access control evidence needed for SOX, GDPR, or other regulatory audits. It uses agents to pull logs from IAM, PAM, and application systems, map user access to controls, and generate auditor-ready reports. The page details the data pipeline and approval gates that eliminate manual spreadsheet work and improve audit readiness.
This page explains a targeted workflow that automates the gathering of specific evidence—like user access lists, permission changes, and privileged session logs—in response to an auditor's request. It details how agents interpret natural language queries, retrieve data from fragmented systems, and assemble compliant evidence packages, reducing the operational disruption and labor cost of audit seasons.
This workflow enhances traditional SSO by using continuous, passive authentication signals (behavioral biometrics, device trust) to keep users logged in securely without repeated MFA prompts in low-risk contexts. It details the agentic risk engine that works alongside SSO providers like Okta or Azure AD to create a seamless yet secure login experience, boosting user productivity and satisfaction.
This page details a user-experience-focused workflow that, when access is denied, automatically analyzes the reason (e.g., missing role, non-compliant device) and provides the user with a clear, actionable remediation path via a self-service portal. It uses agents to diagnose policy failures and integrate with ticketing or access request systems, reducing helpdesk calls and user frustration.
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One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
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We understand the task, the users, and where AI can actually help.
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We define what needs search, automation, or product integration.
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We implement the part that proves the value first.
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