Despite heavy investment in modern cybersecurity and IT systems, the security team was facing a common paradox: complexity kept compounding.
CUSTOMER STORY: AFLAC
From Brittle Scripts to "Judgment at Scale"
How a Fortune 150 insurer transformed security operations by moving from assistive AI to agentic reasoning.
At a Glance
Industry
Insurance (Fortune 150)
Challenge
Compounding complexity and brittle automation workflows.
Solution
Enterprise Agentic AI that reasons across network topology and policy.
Outcome
Firewall changes reduced from hours to minutes; dramatic drop in alert noise.
The Challenge: Compounding Complexity
Overwhelmed Teams
Thousands of vulnerabilities surfaced weekly, and firewall rule changes required layers of manual review.
Brittle Automation
Existing automation relied on scripted workflows that “worked perfectly until they didn’t”.
Analysis Paralysis
Analysts spent more time validating tools than investigating actual risk.
"What they lacked wasn’t more data or more dashboards. It was judgment at scale."
The Solution: Reasoning, Not Just Scripting
Aflac deployed the Airrived Agentic AI platform to introduce “governed autonomy,” a system capable of acting within defined boundaries while preserving human oversight.
Context-Aware Vulnerability Management
Instead of relying on theoretical severity scores, the agents continuously evaluated network topology, firewall policies, and asset criticality. The system determined which vulnerabilities were truly reachable and consequential, rather than just listing them.
Agentic Orchestration
Unlike standard orchestration tools that break when integrations fail, the agentic architecture adjusted to changing conditions. When data was ambiguous, agents sought additional context before proceeding, ensuring every decision was explainable.
The Results: Velocity with Control
The shift from manual execution to agentic supervision delivered immediate operational impact.
- Firewall Changes in Minutes: Complex rule changes that once required hours of human coordination were processed in minutes.
- Noise Reduction: By focusing on reachable risk rather than theoretical severity, alert noise dropped dramatically and remediation cycles accelerated.
- Error Reduction: Business intent was translated into policy logic and simulated for impact, causing errors to decline while velocity increased.
Customer Success: AFLAC
Operating Beyond
Hyper-Automation.
“What matters to me is control, speed, and consistency. Agentic SOAR brings intelligence into response-reducing manual intervention while maintaining governance and predictability at scale.”
DJ Goldsworthy
Deputy Chief Information Officer
