Fremont, CA – January 14, 2026 – IronSDN, the leader in risk management solutions for businesses, launched the WhiteHaX OptimalAI Testing Service, a performance testing and optimization service designed to help enterprises deliver fast, reliable, and cost-efficient AI experiences as AI-powered applications become core to business operations.

As organizations scale Generative AI, LLMs, and document-driven AI workflows, response time and infrastructure efficiency have become direct drivers of customer satisfaction, productivity, and cloud spend. WhiteHaX OptimalAI Testing addresses this challenge by measuring end-to-end AI response time under real-world and extreme conditions, then delivering prescriptive recommendations to optimize performance, scalability, and cost.

“AI performance is no longer a nice-to-have—it’s a business KPI,” said Vimal Vaidya, CEO at IronSDN. “Slow responses, unpredictable latency, and abuse-driven cost spikes erode user trust and profit margins. OptimalAI Testing gives organizations a clear, data-driven way to understand how their AI behaves at scale—and how to make it faster and more efficient.”

Performance Testing Built for Real AI Workloads

WhiteHaX OptimalAI Testing evaluates AI deployments across a wide range of realistic and adversarial scenarios, including:

• Prompt Response Testing
  Measures latency and throughput across short, medium, large, and complex multi-turn prompts, identifying thresholds where performance degrades
• Document Upload & Processing Testing
  Evaluates ingestion, parsing, embedding, and indexing performance for PDFs, Office files, images, and other enterprise document types
• Heavy Load & Stress Testing
  Simulates high concurrency, burst traffic, and resource exhaustion to identify scalability limits and failure points
• Tail-Latency Analysis
  Captures P50, P95, and P99 response times to expose performance outliers that impact real user experience

Exposing AI Abuse and Cost Risk

Beyond performance, OptimalAI Testing includes a dedicated AI abuse and cost-risk analysis, identifying how prompt abuse, token overflow, rate-limit bypass attempts, and sustained load patterns can degrade service quality and inflate inference costs.

This enables organizations to:

• Identify cost-amplification vectors before they impact budgets
• Validate rate limiting and throttling controls
• Improve predictability of AI operating expenses

Actionable Optimization, Not Just Metrics

Following testing, WhiteHaX delivers clear, prioritized optimization guidance tailored to each deployment, covering:

• Compute and memory right-sizing (CPU, GPU, caching)
• Instance sizing and scaling strategies
• Network latency and routing optimization
• Quality-of-service and traffic-prioritization policies
• Cost-to-performance alignment for sustainable AI scaling

Each engagement includes a detailed performance report, bottleneck analysis, executive summary, and concrete recommendations teams can act on immediately.

Who It’s For

• Enterprises validating AI performance before production rollout
• SaaS companies delivering customer-facing AI features
• Global AI deployments with latency-sensitive users
• Organizations optimizing large-scale inference costs

Why It Matters
As AI usage grows, performance bottlenecks and cost inefficiencies often remain hidden until users complain—or bills spike. WhiteHaX OptimalAI Testing gives organizations a proactive way to measure, optimize, and continuously improve AI performance before those issues become business problems.

WhiteHaX OptimalAI Testing Service is available now.

About IronSDN IronSDN, Corp. specializes in cyber risk management solutions for businesses. It’s flagship WhiteHaX brand of solutions are specifically designed ground-up to help businesses identify and eliminate cyber risks across AI infrastructure, data and humans. Cloud-hosted WhiteHaX AI ASM platform offers businesses a quick, low-impact, low-cost AI attack surface risk management. WhiteHaX AI ASM helps businesses gradually improve their AI security posture through thorough AI risk verification and provides detailed reports with step-by-step recommendations on how to improve AI security risks. For more information on WhiteHaX AI ASM, visit
https://www.WhiteHaX.com