"Security teams generate massive amounts of data but can only afford to search a fraction of it. Scanner has built a fundamentally new approach to this problem, which enables companies to move into the agentic era of cybersecurity. AI is notoriously data hungry, and Scanner is the only technology on the market today that manages security data at AI scale."
"Scanner's solution relies on inverted indexes built at ingestion time to run scans on the data that matters. It scales up when running queries and scales down when idle, to cut costs. The AI agents were designed to correlate across data sources and return smart summaries, supporting interactive investigations, detection engineering, and autonomous response workflows."
"Scanner can deliver responses in a fraction of the time required by traditional SIEM solutions because it indexes data directly where it lives and runs detections continuously on the full stream."
Scanner, founded in 2022, provides a cloud-native security data lake platform that integrates with existing security tools and stacks. The solution uses inverted indexes built at ingestion time to enable rapid threat hunting and continuous detection. Scanner offers a Model Context Protocol server connecting AI agents to organizations' data lakes for enhanced security operations. The platform correlates data across multiple sources and delivers intelligent summaries supporting interactive investigations and autonomous response workflows. By indexing data where it resides and running continuous detections on full data streams, Scanner delivers faster responses than traditional SIEM solutions while optimizing costs through dynamic scaling.
Read at SecurityWeek
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