AI Security Services
Securing the Future of Intelligence
Comprehensive AI Security, Governance, and Assurance. IronProbe's AI Security Services protect your AI systems from adversarial attacks, ensure compliance with global standards, and fortify your intelligence infrastructure against emerging threats.
Core AI Security Services
Foundational assessments for AI security, governance, and compliance
AI Security Risk Assessment
Understanding the terrain before building the walls. High-level threat modeling specific to AI use cases, gap analysis mapped against NIST AI RMF and ISO 42001, and Business Impact Analysis (BIA) to quantify exposure.
AI Governance & Compliance Assessment
Navigating the intersection of regulatory safety and ethical alignment. Alignment mapping for EU AI Act and Biden Executive Order, review of internal Corporate AI Policy, and establishment of AI Acceptable Use Policies (AUP).
AI Vendor & Third-Party Risk Assessment
You are responsible for the AI you buy, not just the AI you build. Security evaluation of SaaS AI providers, deep dive into Data Privacy agreements and Data Residency, verification of Model Training Opt-Outs.
AI Architecture Security Review
Hardening the infrastructure that powers intelligence. Cloud Security Posture (CSPM) review for AI workloads, container and orchestration security (Kubernetes/Docker), uncoupling Control Plane from Data Plane to prevent lateral movement.
Secure AI Development (AI SDLC) Review
Securing the supply chain of code, weights, and artifacts. Security review of MLOps pipelines, implementation of Model Signing and artifact provenance, hardening of Jupyter notebooks and training environments.
RAG & Data Pipeline Security Assessment
Your AI knows your secrets. We ensure it doesn't leak them. Security validation of RAG (Retrieval-Augmented Generation) architectures, prevention of Data Poisoning in vector databases, verification of Data Access Controls (ACLs) during retrieval.
Tactical Precision
Advanced testing and monitoring for AI systems
AI Agent & LLM Security Testing
The model is the new endpoint. Ensure it refuses unsafe instructions. Testing against Prompt Injection and Jailbreaking attacks, stress-testing for Hallucination forcing and output integrity, verification of safety filters and refusal mechanisms.
MCP & Tool Integration Security Assessment
AI doesn't just think; it acts. Validating authorization for every action. Review of Model Context Protocol (MCP) implementations, testing for Privilege Escalation and Excessive Agency, prevention of Indirect Prompt Injection via plugins, API security review for all AI-connected endpoints.
AI Red Teaming & Adversarial Testing
We attack the system so bad actors can't. Human-in-the-loop adversarial simulation, emulation of sophisticated threat actors (APTs) targeting AI logic, identification of complex logic flaws automated tools miss.
AI Runtime Monitoring & Incident Readiness
24/7 Security. Detecting anomalies before they become breaches. Configuration of Input/Output filters (guardrails), definition of Incident Response (IR) playbooks specific to AI, real-time anomaly detection metrics.
Why IronProbe for AI Security?
Deep AI Expertise
Our team includes highly qualified ML engineers and contributors to OWASP Top 10 for LLM, ensuring cutting-edge knowledge of AI security challenges.
Full-Lifecycle Protection
We secure your AI from data collection to model retirement, including CI/CD security for MLOps pipelines and deployment environments.
Compliance Across Jurisdictions
Our solutions ensure compliance with GDPR, CCPA, EU AI Act readiness, and SOC 2 Type II for AI systems and operations.
Frequently Asked Questions
Common questions about our AI security services
We secure generative AI models through a multi-layered approach: validating input with custom filters to block prompt injection attacks, implementing output sanitization to prevent data leakage, applying rate limiting to prevent model overuse, and continuous monitoring for unusual query patterns. We also ensure proper access controls and encryption for model weights and training data.
Yes, we provide comprehensive security for open-source AI frameworks including PyTorch, TensorFlow, Hugging Face, and LangChain. Our services include code reviews for custom models, dependency vulnerability scanning, secure deployment configurations, and risk assessments specific to open-source AI components in your technology stack.
Absolutely. We implement robust security measures for real-time AI inference APIs through token-based authentication, TLS/SSL encryption, input validation and sanitization, rate limiting and quota enforcement, and continuous monitoring for anomalous usage patterns. We also help implement proper logging and audit trails for compliance requirements.
AI Red Teaming involves human-in-the-loop adversarial simulation where we emulate sophisticated threat actors targeting AI logic. Unlike automated testing, we identify complex logic flaws that automated tools miss, ensuring your AI systems can withstand real-world attacks.
Fortify Your Intelligence
From AI governance to adversarial testing, our comprehensive solutions ensure your AI systems are secure, compliant, and resilient. Get started today.
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