IronSDN Launches SecureAI Testing Service to Expose AI Security, Performance, and Cost Risks Before Production Failures

New end-to-end AI testing service goes beyond penetration testing to validate resilience, latency, and AI-specific attack exposure across enterprise deployments.

January 14, 2026

Fremont, CA – January 14, 2026 – IronSDN, the leader in risk management solutions for businesses, announced the launch of WhiteHaX SecureAI Testing Service, an end-to-end, AI-specific security and resilience assessment designed to help enterprises identify hidden risks in Generative AI, LLM, and Agentic-AI applications before they lead to outages, data leakage, or runaway operational costs.

As organizations deploy AI across customer-facing and internal workflows, many rely on traditional penetration testing approaches that were never designed to evaluate prompt injection, model abuse, agent tool misuse, or AI-driven denial-of-service scenarios. WhiteHaX SecureAI Testing addresses this gap by combining AI-native attack simulation, performance profiling, and continuous security integration into a single structured service.


“AI systems fail differently than traditional applications,” said Vimal Vaidya, CEO at IronSDN, “Security issues, latency spikes, and cost explosions often come from model behavior, prompts, agents, or APIs—not code vulnerabilities. SecureAI Testing is built to uncover those AI-specific risks before they impact customers or the business.”


A Four-Pillar Framework for AI Resilience

WhiteHaX SecureAI Testing uses a structured four-pillar methodology to evaluate enterprise AI systems from security, performance, and operational perspectives:

  • AI Application Attack Simulation (Active Testing)
    Actively probes home-grown and third-party AI applications using advanced techniques such as prompt injection and jailbreaks, confidential data leakage attempts, malicious document uploads, agentic-AI abuse, RAG manipulation, and LLM/MCP breach scenarios.
  • AI Security Defense Assessment (Passive Testing)
    Evaluates AI-specific perimeter defenses—such as WAF rules, rate limiting, anomaly detection, and input filtering—without interacting with application code, identifying configuration gaps before systems are targeted.
  • AI Performance & Load Profiling (Passive Testing)
    Measures response latency, scalability limits, and AI-specific denial-of-service risks, including prompt bombing, computationally expensive queries, and cost-amplification scenarios that strain GPUs, CPUs, and inference budgets.
  • Continuous AI Security Integration
    Delivers long-term protection through CI/CD integration and a one-year subscription to the WhiteHaX AI Readiness Verification Platform, enabling continuous validation as AI systems evolve.

Designed for Real-World Enterprise AI

Unlike one-time AI assessments or vulnerability scanners, WhiteHaX SecureAI Testing delivers actionable remediation and deployment guidance, including custom WAF rules, secure code snippets, performance tuning recommendations, and infrastructure optimization strategies.

At the end of the engagement, customers receive:

  • A business-focused executive risk summary
  • Detailed security, performance, and DoS findings
  • Cost-impact analysis of AI failure scenarios
  • Deployment hardening and optimization guidance
  • CI/CD-ready scripts for continuous testing

Who It’s For

  • Enterprises deploying AI where uptime, latency, and trust are critical
  • SaaS companies embedding AI into core products
  • Financial services and healthcare organizations under strict compliance mandates
  • Teams operating both third-party and proprietary AI systems


Why It Matters
AI failures are increasingly visible—and expensive. Prompt injections, data leakage, agent misbehavior, and AI-driven denial-of-service attacks are already causing outages, compliance exposure, and unexpected cloud costs. WhiteHaX SecureAI Testing gives organizations a clear, data-driven view of how their AI systems behave under real attack and load conditions—before those failures reach production.

WhiteHaX SecureAI 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