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 Safety
Stop malicious outputs, jailbreaks, and data leaks before they reach your users and deploy AI with total confidence.
Real-Time Threat Interception
Automated guardrails that actively monitor and block unauthorized prompts, toxic content, and harmful model behaviors at the application layer.
Neutralizes Prompt Injections
Detects and blocks adversarial manipulation attempts designed to bypass your model's safety constraints in real-time.
Filters Toxic and Biased Content
Enforces brand-safe communication by intercepting offensive, discriminatory, or high-risk outputs across all LLM interactions.
Sanitizes Sensitive Data Leakage
Automatically redacts PII and proprietary internal data from AI responses before they reach the end user.
Stay Aware AI
Stay Aware AI is an AI-powered child safety platform that helps families and schools detect digital risks early, understand emotional wellbeing, and guide children with education instead of fear.
Psychological Insight
Turn conversations and online activity into clear emotional and behavioral insights, helping adults spot stress, patterns, and needs before problems escalate.
Real-Time AI Guidance
Provide in-the-moment coaching when risky content appears, teaching safer choices instead of simply blocking access.
Critical Alerts
Send fast, severity-based alerts for serious issues like bullying, scams, self-harm, and predatory behavior so families and schools can respond quickly.
Security Analysis
Adversarial security testing for customer-facing chatbots. Security Analysis runs controlled jailbreak,
prompt-injection, and coercive conversation tests to expose weaknesses in guardrails, data protection, and
response policies before real attackers do.
Jailbreak Resistance Testing
Evaluates how well chatbots withstand prompt injections, roleplay attacks, and instruction override attempts designed to break system safeguards.
Adversarial Conversation Simulation
Simulates manipulative and high-pressure interactions to test whether bots reveal restricted behavior, unsafe outputs, or sensitive information.
Actionable Security Findings
Transforms each test run into clear security insights, helping teams identify vulnerabilities, prioritize fixes, and strengthen chatbot defenses.
Safe AI
A hardened security layer for your meeting intelligence that prevents data leakage while ensuring every insight remains private, encrypted, and entirely under your corporate control.
Enterprise-Grade Encryption
Secure infrastructure that isolates your meeting data to guarantee complete privacy and strict regulatory compliance.
Encrypted Intelligence Governance
Protects your intellectual property by ensuring meeting insights and assistant queries are never used to train third-party models.
Real-Time Data Redaction
Automatically identifies and scrubs sensitive PII or financial identifiers from transcripts to maintain internal compliance standards.
Permission-Based Context Isolation
Restricts the AI assistant’s access to specific silos, ensuring it only synthesizes information the authorized user is cleared to see.
CaptainNote
Secure, offline-first AI meeting assistant. Record, transcribe, and summarize meetings locally using
state-of-the-art open source models without your data ever leaving your device.
Local-First Privacy
Powered by local instances of Ollama and Whisper, ensuring 100% data sovereignty with no external cloud processing.
Multi-Speaker Transcription
High-fidelity speech-to-text using Whisper Large v3 combined with
Pyannote for accurate speaker identification and diarization.
Intelligent Summarization
Automatically generates structured meeting minutes including key decisions, action items, and discussion highlights
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.
