Brava Security
Brava Security provides a Security Operations Platform that validates whether SIEM detections actually catch real attacks by synthesizing the telemetry attacks would produce without executing them. The platform rewrites broken detections, enables plain-English investigations with cited evidence, and optimizes data pipelines to cut SIEM costs by 65–85%. It processes 2.4 trillion events daily across customer environments.
- Cybersecurity
- AI Agents
- Artificial Intelligence
- Software Only
Funding
Raised to date
$15MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 1 round
AECPFVME$15M · Seed
Announced Nov 2026
Disclosed cumulative: $15M
Founders
Founder details are not available yet.
Product
Problem
Security operations teams cannot verify whether their SIEM detections will actually catch real attacks. Critical logs may never be collected, telemetry pipelines break silently, and detection logic misses the very attacks it was written to catch, leaving teams to take their detection coverage on faith rather than proof.
Solution
Brava Security provides a Security Operations Platform that injects certainty into the threat detection lifecycle. The platform's multi-agent system models attacker behavior and generates the exact telemetry an attack would produce in a customer's environment without executing the attack. It tests each detection rule against the attack it was written for, identifies rules that stay silent, and rewrites them in the SIEM's own query language using only fields the evidence shows are there. The platform also includes an investigation agent that answers questions in plain English, searching the SIEM, archived logs, EDR, and cloud audit trails in one pass, with every finding citing raw events. Additionally, Brava optimizes data pipelines by sending the SIEM only the events detections actually need and routing the rest to low-cost searchable storage.
Target Audience
Primary customers are security operations teams, detection engineers, and CISOs at large enterprises, including Fortune 100 companies across retail, energy, and hospitality, who rely on SIEM platforms such as CrowdStrike NG-SIEM.
Features
- Multi-agent system that synthesizes the evidence real attacks would leave in a customer's environment without executing the attack
- Continuous detection validation that surfaces broken detections, schema drift, and dead log sources the day they happen
- Automated detection rewriting in the SIEM's own query language, using only fields the evidence shows are there, with confirmation that rewritten rules fire
- Aquarium investigation agent that plans queries, searches multiple data sources in one pass, and writes reports with every finding cited to raw events
- Data pipeline optimization that routes only detection-relevant events to the SIEM and moves the rest to low-cost searchable storage, cutting SIEM costs by 65–85%
- Processes 2.4 trillion events daily across customer environments with thousands of detections proven daily