Bedrock Data secures USD $25M to boost AI data security

Bedrock Data has raised USD $25 million in a Series A investment round led by Greylock Partners, with additional support from Mangusta Capital, Mantis Venture Capital and Pier 88 Investment Partners.

The funds will be used to advance development and go-to-market activities for the company's AI-native data security platform, as enterprises face persistent challenges in protecting data used in cloud and artificial intelligence deployments.

AI and data challenges

A recent index by Bedrock Data found that 82 per cent of cybersecurity professionals reported significant gaps in the identification and classification of organisational data, particularly as companies deploy AI across complex, multi-cloud settings. Many security teams lack clear oversight into which data is used by AI models, creating uncertainty about safeguards and increasing the risk of data leakage.

Traditional security approaches have focused on perimeters and identities rather than the data itself. This has proven inadequate in an environment where AI and large-scale data operations are central to business processes.

Product developments

The company has also announced ArgusAI and Natural Language Policy, modules built on Bedrock Data's patented Metadata Lake technology. These solutions are intended to provide enterprises with greater visibility and governance over how AI systems interact with their data and to automate the enforcement of security policies.

ArgusAI generates an AI Data Bill of Materials (DBOM) that maps the flow of data into AI training pipelines and inference endpoints. It features Guardrail Gap Analysis, which identifies where existing controls fail and automatically produces remediation plans to address these vulnerabilities before sensitive information is exposed.

Natural Language Policy enables teams to express governance rules in plain English, which are then automatically converted to enforceable controls across cloud platforms, data repositories and AI systems.

A Metadata Lake foundation

Bedrock Data's platform uses a graph knowledge base, the Metadata Lake, to continuously discover, categorise and contextualise enterprise data across on-premises, cloud, software-as-a-service and AI environments. 

"Our mission is to build an enterprise-wide metadata lake that serves as the source of truth for data sensitivity, access, lineage and more. It's not just about that basic visibility, it's about operationalising a data security programme which improves data security posture (DSPM), reduces risk, improves access governance, enables responsible AI and delivers contextual intelligence that makes existing investments like SIEM, CNAPP, DLP and others more effective," said Bruno Kurtic, CEO and co-founder of Bedrock Data.

AI model governance

ArgusAI extends the company's data governance capabilities into the realm of artificial intelligence. It enables organisations to understand precisely which datasets are accessed by AI models during both training and inference.

The Guardrail Gap Analysis feature compares intended policy protections with the actual data pathways used by models, identifying shortfalls in real time and recommending targeted changes. For example, the system can detect when a policy prohibits processing credit card data but the information appears in a model's training set, then suggest technical measures to restrict exposure.

Natural Language Policy and Investigation equips legal, risk and security personnel to investigate and articulate policies using everyday language. When paired with ArgusAI, this enables teams to pose questions and define rules for data and AI use, such as ensuring that personal data remains within specific jurisdictions or restricting access to defined groups.

The platform responds with explainable, evidence-backed answers drawn from its knowledge base, unifying governance across data, identity and AI systems.

Sector uptake

Bedrock Data reports increasing adoption of its platform in sectors including financial services, healthcare and technology. The company's integration partners include a range of cloud and security providers such as Sysdig, Wiz and Panther, who use Bedrock Data's contextual awareness to enhance their security capabilities. The firm has also received industry awards recognising its role in the cybersecurity market.

"Enterprises face a dual challenge: accelerating AI adoption while ensuring governance keeps pace. The fundamental problem is that policies can't be enforced across fragmented systems that each speak different control languages. When business teams ship AI quickly and governance can't keep up due to system complexity, the gap between policy intent and enforcement becomes unacceptable," said Pranava Adduri, Chief Technology Officer and co-founder of Bedrock Data. "By tying every model to its DBOM, assessing and fixing guardrail deficiencies and translating natural language into enforceable controls, ArgusAI makes responsible AI operational at scale."