an end-to-end AI Security platform
Secure AI systems through protection, evaluation, and red-teaming. HydroX AI helps organizations deploy AI safely, responsibly, and at scale, mitigating risk, ensuring compliance, and building trust.
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AI Evaluation & Testing
Stress test LLMs with red teaming and AI security tools to prevent prompt injections and support compliance.
Adversarial Attacks
Proactive testing that identifies AI system weaknesses before they can be exploited.
Identifies AI Vulnerabilities
Uncovers failure modes and adversarial risks through targeted stress testing.
Establishes AI Security Standards
Sets measurable benchmarks for model robustness through rigorous evaluation.
Drives Continuous AI Hardening
Enables teams to continuously strengthen defense based on real-world attack patterns.
AI-Driven Scraper
Red-team and test AI-powered scraping tools. Our Ai scraper helps define and validate modern anti-scraping defenses.
Residential Proxy Infrastructure
The red team operates 60+ residential IP addresses to test IP-based defenses and CAPTCHA protections.
Agentic Scraping
Scraping request are initiated by AI agents that simulate realistic human behavior.
LLM-Based Results Processing
Instead of traditional parsing, LLM dynamically adapt to changes in page structure.
Safety Alignment
A structured evaluation approach that ensures AI systems align with human values, operational norms, and policy requirements.
Detects Misalignment Risks
Identifies biased, harmful, or misleading outputs that deviate from defined safety standards.
Improves System Behavior
Refines AI systems to respond safely, accurately, and consistently in real-world environments.
Grounds Decisions in Real-World Context
Incorporates legal, ethical, and cultural considerations to define practical safety guardrails.
Protection
Enterprise-grade firewall, encryption, and real-time monitoring secure AI systems, enforce compliance, and prevent model exploitation.
Firewall
Prevent jailbreaks and prompt injection attacks with real-time AI threat detection, model protection, and encrypted runtime monitoring.
<100ms
Sub-second threat detection across AI interface.
30+
Covers toxicity, bias, data exposure, and adversarial risks.
20+
Detects prompt injection and mosel manipulation attempts.
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