Quantara AI, the AI-native cyber risk intelligence company, announced the general availability of the Quantara AI Agent Network, a coordinated network of specialized agent groups that continuously turns thousands of technical findings into dollar-ranked cyber risk actions and decisions. The agents pull exposure, threat, control and financial data from tools customers already own, price what each risk could cost the business, and rank fixes by risk reduced per dollar spent. Quantara AI Agent Network continuously: 

• Transforms cyber, threat, control and business signals into financially prioritized, human-approved actions.
• Quantifies material cyber exposures in dollars and ranks remediation by expected risk reduction and ROI.
• Surfaces the top 1% of exposures driving potential business loss so organizations can focus resources where they matter most.

 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.

A Network of Specialized Agents

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," said Harish Barnela, Founder and CEO of Quantara AI. "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."

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.