Cyera takes $400 million from Goldman Sachs as an extension of its Series G for data security
EditorialBy TrustList Editorial
Cyera announced on 22 September 2026 a $400 million investment from Growth Equity at Goldman Sachs Alternatives, as an extension of its Series G. The data security company will build a unified data and identity platform for companies using AI agents.
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- Cybersecurity
- Data Security
- Data Governance
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About Cyera takes $400 million from Goldman Sachs as an extension of its Series G for data security
Cyera takes $400 million from Goldman Sachs as an extension of its Series G for data security
22 September 2026 — Cyera, a data security company, announced on 22 September 2026 a $400 million investment from Growth Equity at Goldman Sachs Alternatives. The company describes it as an extension of its Series G round, rather than a new round.
Not yet independently verified. This rests on the company’s own announcement; no independent report was read for this item. We will update this when it can be confirmed, and remove this note.
The round
- Amount: $400 million, as stated in Cyera's own release.
- Investor: Growth Equity at Goldman Sachs Alternatives.
- Stage: an extension to the Series G.
- Use of the money: to build what the company calls "the trust layer for the agentic enterprise": a single platform covering data and identity, so that companies can control what AI agents see and do.
What the company does
Cyera is known for data security posture management (DSPM): it scans a company's cloud and on-premises data stores, classifies sensitive data such as personal or financial records, and shows who and what can reach it. Its stated direction joins that data map with identity, so a security team can see which people, service accounts and AI agents have access to which sensitive data, and reduce that access.
Why it matters for buyers
As companies connect AI agents and copilots to internal data, the old question of "where is our sensitive data and who can see it" becomes urgent, because an agent can read far more, far faster, than a person. Investments of this size show that data-centric security is being repositioned as a precondition for using AI at work.
What to check
- Security and privacy teams should ask which data stores and SaaS applications are scanned without agents, how classification accuracy is measured, and whether data leaves their environment during scanning.
- Identity teams should check how the platform reads entitlements from their identity provider and whether it can remediate access or only report it.
- Procurement should look for overlap with existing data-loss-prevention and identity governance contracts.
Sources
Categories & features
- United States
- Cybersecurity
- Data Security
- Data Governance
- Identity Management Software
- Venture Capital
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