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Data Center News > Blog > Investments > RAD Security Raises $14M in Series A Funding
Investments

RAD Security Raises $14M in Series A Funding

Last updated: February 25, 2025 7:31 am
Published February 25, 2025
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RAD Security, a San Francisco, CA-based chief in securing cloud-focused infrastructure, raised $14M in Collection A funding.

The spherical was led by Cheyenne Ventures with participation from new traders Forgepoint Capital, Lytical Ventures, Akamai and present traders .406 Ventures, Vertex Ventures, and Gula Tech Adventures.

The corporate intends to make use of the funds to speed up the enlargement of its AI-driven protection platform.

This expertise will construct on its battle-tested Cloud Detection and Response (CDR) resolution, enhancing its capabilities with superior AI-driven options to make sure enterprises’ cloud and AI deployments stay safe and compliant as they develop and adapt.

Led by CEO Brooke Motta, RAD Safety supplies an AI-driven platform that empowers prospects to ingest and analyze information from a number of sources and question safety instruments, enabling good triage ways and drastically lowering imply time to decision (MTTR).

As AI adoption and dangers evolve, the RAD platform will proceed to adapt and develop, enhancing its agentic capabilities to deal with rising wants, together with:

  • Safety for AI and LLMs – Supplies monitoring and detection capabilities for AI-related threats, together with shadow AI, information exfiltration, immediate injection assaults, and compliance violations, making certain enterprises can safely leverage AI applied sciences.
  • Operational Effectivity for Safety Groups – Reduces MTTR with AI-driven insights and agent-based querying, serving to vulnerability administration and GRC groups to reply sooner and extra successfully.
  • Cloud Detection and Response – Establishes behavioral baselines and detects deviations indicating malicious exercise or insider threats, utilizing runtime safety and fingerprinting strategies—serving to safety groups to detect and analyze identities and unauthorized entry throughout cloud and AI workloads, in addition to anomalous habits like information exfiltration, downtime, and rightsizing alternatives.
See also  MediShout Raises $9M in Series A Funding

FinSMEs

24/02/2025

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