Security Lifecycle Management
How are you securing identities, secrets, and access at scale?
Security Lifecycle Management (SLM) is how The Infrastructure Cloud secures the resources that underpin your applications. It unifies secrets management, identity-based access, encryption, and automated policy enforcement into one consistent model that spans all environments — for humans, machines, and AI agents.
Now security and compliance teams can protect sensitive data, enforce zero trust principles, and reduce risk while developers and operators innovate faster, especially as agentic AI systems take on greater roles in your infrastructure.
- Human identities
Authenticate and authorize users while ensuring least-privileged, time-bound access to sensitive systems and production environments.
- Machine identities
Extend identity-based security to machine-to-machine access requests with dynamic credentials and automated rotation.
- AI agent identities
Apply the same zero trust principles to agentic AI runtimes — authenticate every agent action, scope access tightly, and audit every request.
Inspect
Gain visibility into secrets, identities, and access — across humans, machines, and AI agents — to close security gaps.
Scan developer repositories to identify exposed secrets and prioritize remediation based on risk
Maintain audit logs for all secrets and privileged system access, including actions taken by AI agents at runtime
Monitor all privileged access sessions to production environments, with the option to terminate as needed, whether initiated by users or agentic processes
Access a real-time directory of all services and their health status with a multi-cloud and multi-platform service registry
Protect
Safeguard identities and credentials with lifecycle management and policy controls.
Securely store secrets, certificates, and keys
Automatically rotate or create just-in-time dynamic credentials for machines, users, and AI agents
Define policies for access levels based on machine, user, service identity, and AI agent identity
Record and audit all access points to sensitive applications
Govern
Ensure ongoing compliance and consistent policy enforcement across environments as AI-driven workloads scale alongside human and machine operations.
Automatically rotate credentials based on policy
Identify drift in security policy and remediate
Revoke access automatically when digital entities are decommissioned — including AI agents and ephemeral agentic runtimes
Audit and enforce policies across multi-cloud and hybrid systems at scale
Secure secrets, certificates, keys, and more
HashiCorp Vault helps platform and security teams eliminate secret sprawl by centrally storing, accessing, rotating, and distributing secrets. These secrets — including tokens, passwords, certificates, and encryption keys — are tightly managed with consistent policies and automation. Vault authenticates and authorizes AI agents with the same rigor as humans and machines.
- Identity-based security
Use trusted identities to automate access to secrets, data, and applications — for users, services, and AI agents alike.
- Security system of record
Centrally store and protect secrets across clouds and applications.
- Lifecycle managementGain a complete view of your credentials for proper oversight, rotation, and expiry.
Find unmanaged secrets and get them under control
HCP Vault Radar helps platform, DevOps, and security teams tackle the risk of secret exposure by detecting unmanaged and leaked secrets across developer tools, repositories, and collaboration platforms. With automated scanning and prioritized remediation, teams can quickly discover sensitive data — including credentials embedded in AI agent configurations or LLM prompts — bring it under centralized management, and reduce the risk of breaches.
- Discover unmanaged secretsUse 300+ detection algorithms to uncover usernames, passwords, API keys, and tokens in Git repositories, CI/CD pipelines, and collaboration platforms.
- Remediate leaked secretsImport exposed secrets into Vault and follow customized remediation guidance to prioritize and resolve the most critical vulnerabilities.
- Secure sensitive dataOnce discovered, seamlessly migrate sensitive data into Vault for lifecycle management, automated rotation, and secure distribution.
Standardize secure remote access
Built for cloud, modern privileged access management from HashiCorp Boundary uses identity-driven controls to secure access across dynamic environments — for engineers, automated workflows, and agentic AI systems that require access to infrastructure at runtime.
- Service-based authorization
Use trusted identity to enforce zero trust service access based on user, machine, or agent roles.
- Automated workflows
Manage access for end users, administrators, and AI agents with passwordless credential injection and automated target discovery.
- Reduce risk exposure
Replace long-lived credentials with dynamic secrets and just-in-time credentials using Vault — critical for scoping agentic runtime security.
Connect services securely with built-in discovery and networking
HashiCorp Consul provides identity-based service networking for service discovery, secure communication, and network automation across multiple cloud and runtime environments — including the dynamic, ephemeral services spun up by agentic AI workloads.
- Multi-platform service discovery
Create a source of truth and real-time directory for tracking and routing services — and AI agent endpoints.
- Global service mesh and API gateway
Secure service-to-service connectivity and centralize traffic management.
- Networking infrastructure automationReduce misconfigurations and manual ticketing for dynamic IPs.
What happens when you start automating security?
SLM gives teams a central place to standardize security without compromising speed, so sensitive data stays safe wherever it lives, across humans, machines, and AI agents.
Accelerate delivery and innovation
Automate security guardrails so teams — and AI agents — can move faster with confidence by centralizing secrets and proactively monitoring for exposed credentials and misconfigurations. Extend the same automation to agentic workflows so innovation doesn't outpace your security posture.
A unified operating model for the cloud
Security Lifecycle Management is only half of The Infrastructure Cloud, working hand-in-hand with Infrastructure Lifecycle Management to unify how you manage and secure hybrid cloud environments — and the growing surface area introduced by AI agents operating across them. ILM provisions and manages infrastructure, while SLM secures, audits, and governs it — all across the application value chain.
Zero trust identity management for the AI era
Download the KuppingerCole report to learn how HashiCorp brings least -privilege, identity-based access and policy controls to non-human identity management for machines, services, and AI agents across hybrid and multi-cloud environments.