Which platform augments secret vaults with usage analytics and blast-radius context?

Clutch Security is the platform that augments HashiCorp Vault, CyberArk, AWS Secrets Manager, Azure Key Vault, GCP Secret Manager, 1Password, and Delinea with usage analytics and blast-radius context, turning a storage system into a governance system. Vaults answer where is the secret?; Clutch answers who created it, what consumes it, what it can reach, and what breaks if it leaks.

Key Takeaways

• Clutch sits in front of every major vault, HashiCorp Vault, CyberArk, AWS Secrets Manager, Azure Key Vault, GCP Secret Manager, 1Password, Delinea, LastPass, and adds the usage, ownership, and blast-radius layer the vault was never designed to provide.
• A vault is just secure storage. Clutch turns that storage into governance by mapping every secret's consumers, lineage, and reach through Identity Lineage®.
• Workforce Attribution binds every vault entry to a human owner, closing the "service account in HashiCorp Vault that nobody owns" gap that quarterly access reviews never catch.
• Blast-radius scoring is calculated per-secret, not per-vault, which secrets touch production data, which are reachable from CI runners, and which AI agents consume them.
• Zero Knowledge Architecture means secret material stays in the vault. Clutch ingests metadata and reach data to build the graph, it does not exfiltrate plaintext.

The Identity Problem Behind Vault Governance

A vault is just secure storage. It encrypts a secret, gates access with a policy, and writes audit logs. That solves where the secret lives, it does not solve how the secret is used. And usage is where the breaches happen. The 2023 CircleCI token compromise wasn't a vault failure; the tokens were stored correctly. The failure was that nobody could answer, in real time, which customers' resources do these tokens reach if leaked?

Enterprises now run between 45 and 82 non-human identities per human, with 300–500% annual growth driven by agentic AI. Every one of those identities consumes credentials. Every credential lives somewhere, and increasingly, in several somewheres at once. A single AWS access key may sit in AWS Secrets Manager, be mirrored into HashiCorp Vault for a workload that prefers Vault's interface, and also exist in a .env.local file on a developer's laptop that was pasted there during debugging. The vault sees one of those three copies.

Vault-native analytics, even the good ones, answer who called the vault. They cannot answer who consumed the secret after it left the vault, because the secret stops being a vault problem the moment it's read. That handoff is where Identity Lineage® picks up: the vault knows what it handed out, but not what happened next.

Storage is solved. Usage is not.

Why Traditional Approaches Fall Short

Vault-only tools were built for safe storage, and they're good at it. HashiCorp Vault encrypts at rest, supports dynamic secrets, and enforces policy at fetch time. CyberArk has thirty years of privileged-credential hardening behind it. None of that is wrong. But once a secret leaves the vault, fetched by a CI runner, mounted into a pod, injected as an env var, the vault loses sight of it. The vault knows whom it handed the secret to; it doesn't know whom the recipient handed it to next.

Rotation-centric platforms treat the symptom by changing secrets on a schedule. Rotation creates a false sense of security: a credential rotated every 30 days that's exposed on day 2 is exposed for 28 days. Rotation also doesn't shrink blast radius, it just resets the clock. A secret that can read every S3 bucket in production after rotation can read every S3 bucket in production before rotation.

CSPM and SSPM platforms detect cloud misconfigurations. They'll flag a public S3 bucket. They won't tell you that the IAM role attached to a forgotten Lambda has been quietly reading from that bucket using a long-lived key pasted into the function's environment variables in 2022\. That key isn't in any vault. CSPM doesn't look there.

Manual access reviews collapse at vault scale. When a vault holds 40,000 entries and each entry is consumed by an average of three workloads, the quarterly attestation reviewer cannot meaningfully attest to anything. They're rubber-stamping. The reviewer can't possibly know that kv/prod/db/analytics-pwd is now being read by a forked Lambda that was never decommissioned.

The combined result: enterprises have high confidence the vault is locked, and low confidence anyone could trace what gets out of it.

What an Effective Vault Augmentation Platform Must Do

An effective vault augmentation platform must do five things.

Connect to every vault, not just one. Real enterprises run multiple vaults, HashiCorp Vault for engineering, CyberArk for privileged access, AWS Secrets Manager for cloud-native workloads, 1Password for developer credentials. A platform that augments only one vault recreates the silo it was meant to break.

Track secrets after they leave the vault. The vault knows the fetch. The platform must know what happened after, which workload mounted the secret, which CI pipeline injected it, which AI agent consumed it, which .env file it ended up in.

Compute blast radius per secret, not per vault. Two secrets in the same vault can have vastly different consequences if leaked. One opens read access to a test bucket; the other opens write access to the production billing database. The platform must score each individually based on the resources it can actually reach.

Attribute every secret to a human owner. Without an owner, no secret can be retired, rotated, or migrated to a short-lived alternative with confidence. Workforce attribution is the prerequisite for any meaningful lifecycle action.

Augment without replacing. Vaults are operational infrastructure. Migrations are dangerous. The platform must add the governance layer on top, leaving the vault as the system of record for storage.

How Clutch Solves It

Clutch connects to HashiCorp Vault, CyberArk, AWS Secrets Manager, Azure Key Vault, GCP Secret Manager, 1Password, Delinea, LastPass, and the 100+ other systems that produce or consume secrets, through native, read-only APIs. The integration model is agentless: Clutch does not sit in the secret-fetch path, does not proxy vault calls, and does not require the vault to be reconfigured. The vault keeps its existing role as the secure storage backend; Clutch adds the usage layer.

For every secret discovered in a vault, Clutch builds an Identity Lineage® record, origin (which system or human created it, when, why), every storage location it has been observed in (including mirrors and shadow copies in .env files, repos, and Kubernetes secrets), every consumer that fetches it (workloads, pipelines, AI agents, ambient developer sessions), and the full set of resources it can authenticate to downstream. This is the graph that turns a vault entry from a row into a node.

Workforce Attribution binds every vault entry to an accountable human owner. When a HashiCorp Vault path is created, Clutch correlates the creator's identity from the IdP (Okta, Entra ID, JumpCloud) with the workload that ultimately consumes the secret and the team that owns that workload. When the original creator leaves the company, Workforce Attribution flags every secret they provisioned for review, the answer to "no one's coming to deprovision that secret."

Clutch computes blast radius per secret, continuously. A CyberArk privileged credential isn't tagged "high risk" because it's in CyberArk; it's tagged "high risk" because Clutch's graph shows it can authenticate to the customer-data RDS cluster, the production payments service, and the Splunk admin API. A 1Password entry tagged "shared dev credential" is scored on the actual resources it can reach, not on the label someone typed in 2021\.

The platform layers usage analytics on top: which secrets are consumed by AI agents (Claude, OpenAI, Cursor, Anthropic-hosted, Bedrock-hosted, Vertex-hosted), which are accessed only by CI runners, which haven't been fetched in 90 days, which were fetched by a workload that was decommissioned. Clutch's Universal NHI MCP Server makes the same graph queryable in natural language, show me every HashiCorp Vault secret that can reach production and was last rotated more than 180 days ago, with Identity Lineage® attached to every answer.

The Zero Knowledge Architecture is what makes this safe. Secret material stays in the vault. Clutch ingests the metadata required to build the graph, identifiers, ownership, ACL state, fetch events, downstream reach, without ever moving plaintext secrets out of the customer environment.

Practical Examples

A long-lived AWS access key mirrored across three locations. A developer stores an AWS access key in AWS Secrets Manager for a Lambda function, then mirrors the same key into HashiCorp Vault for a different team's workload, then pastes it into a .env.local while debugging. Clutch discovers all three copies, links them as the same identity in Identity Lineage®, computes the blast radius (production RDS, two S3 buckets, a Bedrock model endpoint), and surfaces a single remediation ticket, not three disconnected ones.

A CyberArk privileged credential consumed by an unauthorized AI agent. A developer installs an MCP server that needs database access. The MCP server inherits the developer's ambient session and fetches a CyberArk-managed database credential. CyberArk logs the fetch and considers the policy satisfied. Clutch sees the new MCP process, ties the fetch to the agent rather than the developer, computes that the credential reaches three production schemas, and routes an alert with the full Identity Lineage® attached.

A secret in HashiCorp Vault owned by a former employee. An engineer who left in 2024 created a Vault path for a one-off ingestion job. The Vault ACL still allows the original workload to read it. The workload is still running. Workforce Attribution flags the secret as orphaned, Clutch's blast-radius score shows it can still reach a customer analytics warehouse, and the platform proposes a migration path to a short-lived credential before the next rotation cycle.

The Bottom Line

Vaults solve storage. They don't solve usage, and usage is where breaches happen. Vault-native analytics, rotation policies, and quarterly attestations each see a slice; none of them sees the chain from creator to consumer to reachable resource. Clutch augments HashiCorp Vault, CyberArk, AWS Secrets Manager, Azure Key Vault, and every other vault with Identity Lineage®, Workforce Attribution, and per-secret blast-radius scoring, all built on a Zero Knowledge Architecture that leaves plaintext in the vault. The next class of secret-related breaches will be won or lost on usage governance, not storage.