Quantara AI, an AI-native cyber risk intelligence company, has announced the general availability of the Quantara AI Agent Network, a coordinated ecosystem of specialized AI agents designed to continuously convert thousands of technical security findings into financially ranked cyber risk actions and decisions. The network integrates exposure, threat, security control, and financial data from customers’ existing tools, assesses the potential business cost of each risk, and prioritizes remediation based on the amount of risk reduced for every dollar invested.
The Quantara AI Agent Network continuously:
- Converts cyber, threat, security control, and business intelligence into financially prioritized actions that remain subject to human approval.
- Assigns dollar values to significant cyber exposures and prioritizes remediation according to anticipated risk reduction and return on investment.
- Identifies the critical top 1% of exposures most likely to contribute to potential business losses, helping organizations direct resources toward the risks with the greatest financial impact.
Security teams do not lack findings. They lack a continuously updated, defensible way to determine which risks to fix first and prove the value of remediation. According to IDC FutureScape: Worldwide Security and Trust 2026 Predictions, by 2028, 40% of enterprises will use autonomous, agent-driven platforms to quantify cyber risk, turning security metrics into financial exposure insights, guiding budgets, controls, and M&A risk assessments.
The Quantara AI Agent Network coordinates specialized groups of agents across the cyber risk lifecycle:
- Ingest Agents connect cyber exposure, threat, endpoint, cloud, control, and business systems and keep the signal current.
- Context Agents correlate exposures with assets and map them to business units and processes in a unified risk model.
- Risk Agents translate exposure into financial risk presented as Value at Risk (VaR) and surface the top 1% driving material loss.
- Govern Agents evaluate risk appetite, assumptions, and frameworks (NIST, CIS, ISO, etc.) and route proposed actions for human approval.
- Act Agents move approved actions into workflows, ticketing tools, and the quantitative risk register, track remediation, and report realized risk reduction to executives and the board.
“Cybersecurity has spent years getting better at finding problems. The next evolution is using agentic intelligence to continuously determine which of those problems really matter to the business and what should happen next. Our Agent Network connects cyber, threat, business and financial context and quantifies exposure and expected risk reduction in dollars. The result is a more defensible way for CISOs and boards to decide where to focus, what to fund and what return to expect.”
-Harish Barnela, Founder and CEO of Quantara AI.
From Thousands of Findings to the Risks That Matter
In a recent enterprise engagement, Quantara connected security signals across multiple domains with business and financial context, narrowing thousands of technical findings to the risks with the greatest potential business impact and prioritizing actions based on expected risk reduction.
The Quantara AI Agent Network is available now to enterprises, MSSPs, and vCISOs as part of the Quantara AI platform. It integrates with CrowdStrike, SentinelOne, Wiz, Tenable, Rapid7, Qualys, Splunk, Microsoft, ServiceNow, AWS, and other leading exposure, endpoint, cloud, and workflow tools.
Quantara AI is an AI-native cyber risk intelligence platform that identifies the top 1% of exposures that matter, quantifies them in dollars, and prioritizes fixes by ROI. Built for CISOs, CFOs, CROs, and boards, it unifies continuous cyber risk quantification, exposure intelligence, control assessment, and executive reporting with human oversight at every decision point. Quantara AI is SOC 2 Type 2 certified and headquartered in Boise, Idaho.
