In response to the evolving challenges of cloud computing and the integration of generative artificial intelligence (AI) into business operations, Bedrock Security on Tuesday (March 26) announced the debut of its data security platform.
Powered by what Bedrock calls the AI Reasoning (AIR) Engine, the technology aims to provide a comprehensive solution for organizations looking to protect sensitive data from emerging threats. The company's introduction to the market is powered by his $10 million seed investment led by Greylock Partners.
For AI
“Bedrock Security's CEO and co-founder Pranava Adduri said in a news release: “We purpose-built Bedrock with the critical understanding that data is the foundation for organizational growth, especially with the rapid adoption of generative AI.” A thorough understanding of your data addresses the shortcomings of Data Security Posture Management (DSPM) and traditional data security solutions. Modern LLM architectures, such as Retrieval Augmentation Generation (RAG), are Extremely fast ingestion. Unlike traditional solutions, Bedrock effectively ensures that protected information such as regulated data and core intellectual property (IP) is not ingested into these AI models. At Bedrock, our mission is to enable modern businesses to leverage all their data without increasing risk.”
Bedrock says its platform offers a wide range of capabilities aimed at enhancing data security, from thorough risk assessment and detection to response capabilities and minimizing data and identity exposure to risk. These features are designed to help businesses maintain robust data security protocols from release to release without hindering operational efficiency or data usage.
Threat monitoring
Bedrock Security employs the AI Reasoning (AIR) engine to enhance data security and improve organizations' visibility into potential risks, according to the release. AI-driven platforms enable deep discovery and classification of data, including identifying sensitive information that may be at risk with generative AI models, going beyond traditional security measures.
With each release, the platform includes data detection and response (DDR) capabilities designed for continuous monitoring and protection against new and evolving threats. Facilitate the creation of safeguards for critical data and employ technology and analytics to provide timely and accurate threat responses.
Additionally, Bedrock's AIR Engine reduces exposure through comprehensive impact analysis and data permissions management, thereby reducing data redundancy and the potential for intellectual property infringement, the company said. Masu. This approach aims to protect sensitive information while maintaining organizational integrity and financial stability.
PYMNTS recently reported that AI is revolutionizing cybersecurity, increasing the speed and efficiency of security teams. AI streamlines incident response preparation by analyzing large data sets and identifying complex patterns. This helps security professionals understand the threat landscape and accelerate the mitigation process.
Lenovo's Chief Technology Officer Timothy E. Bates said in an interview with PYMNTS that the defensive benefits of AI in cybersecurity are significant. '' Bates said. “Additionally, deep learning techniques can analyze malware to decipher its structure and, in some cases, reverse engineer cyber-attacks. These AI capabilities work behind the scenes to protect against future cyber threats. We are constantly evolving as new security challenges arise to neutralize them.”