Bedrock Security

Adversaries have long counted on IT and cloud complexity to hide their entry, movement, and exfiltration of data. Successfully detecting and exposing adversaries requires discovering + classifying high-impact data and monitoring its usage quickly and accurately across all data environments.

Bedrock leverages a serverless, API-native architecture that can discover, classify, and analyze Petabytes in days (vs months as compared to legacy approaches) for structured, semi-structured, and unstructured data across cloud infrastructure, BI, SaaS, and AI/ML/LLM environments. Bedrock leverages a patent pending technology called Adaptive Sampling that achieves this speed and coverage without compromising accuracy. Adaptive Sampling processes large data sets quickly by looking for patterns and eliminating the need to review similar and duplicated data while preserving accuracy. Legacy solutions and other DSPM + DDR vendors that use data classification rules and traditional discovery methods result in TCOs that skyrocket (around $1K/TB) when attempting to keep up with the velocity, variety, and sprawl of modern data supply chains. As a result, security teams need to make a tradeoff between effectiveness of a data security program and costs, usually by reducing the scan frequency, scan coverage, or compromising on response times even as adversaries move faster with attacks and the business creates more data.

Bedrock learns your data as an employee would using AI-enabled reasoning capabilities that combine data content with data context to evaluate the impact and importance of discovered data to the business. Bedrock applies these reasoning capabilities in conjunction with Adaptive Sampling via a serverless, scale out architecture to rapidly and accurately identify high impact data and risks arising from its usage with an industry leading TCO so teams don't have to make a trade-off between costs vs coverage, manual rule tuning and false positives. Legacy data security and modern DSPM + DDR vendors focus on visibility limiting their security effectiveness. Bedrock supports security teams throughout the lifecycle of an attack - before (preventative), during (mitigation) and after (containment and forensics). Bedrock does not need new workflows nor specialized skill sets, ensuring enterprises can work quickly to stop data breaches. Bedrock's context and prioritization is available across SIEMs and ticketing solutions so teams can rapidly prioritize and remediate their issues, ensuring they are ahead of adversaries without increasing costs.