OI AI Security.
End-to-End Security Across the AI Lifecycle
End-to-end AI security, from pre-deployment validation to runtime protection. Aligned with the leading security and compliance frameworks trusted in regulated environments.
AI Is Evolving Rapidly. So Are The Risks.
01
Scan Models Before They Ship
Detect malicious code, embedded malware, and unsafe deserialization in model files from public hubs and internal registries. Block tampered or compromised artifacts before they reach production.
02
Red Team Like an Attacker
Simulate prompt injection, jailbreaks, and multi-step exploits across models, agents, RAG pipelines, and AI applications. Uncover behavioral weaknesses and failure modes before adversaries do.
03
Enforce Guardrails in Production
Apply runtime policies to block unsafe inputs and outputs, prevent data leakage, and keep agents, RAG systems, and AI applications within defined boundaries. Stop threats at the moment they occur.
04
Monitor, Detect, and Respond
Gain real-time visibility across AI applications. Trigger alerts on anomalous behavior, policy violations, and emerging threats, and act before issues escalate.
Enterprise Impact
Identify and eliminate vulnerabilities and risks before they reach production.
Scan every model artifact and configuration to uncover hidden security gaps.
Ensure models meet safety, reliability, and performance standards.
Deploy AI systems with confidence through continuous validation and security testing.
Built for Real-World AI Security and Enterprise Compliance
How Teams Secure AI Systems Across the Lifecycle
Scan and Analyze
Analyze models, artifacts, and configurations to map your AI system and uncover potential vulnerabilities before deployment.
Simulate and Test
Run structured attack scenarios and test interactions to evaluate how your AI systems behave under different conditions.
Enforce and Monitor
Apply guardrails and continuously monitor AI systems in production to enforce policies and detect anomalies in real time.
Commonly Asked Questions
What types of AI systems can OI AI Security test?
OI AI Security can test Models and AI applications, LLM agents, and retrieval-augmented generation (RAG) pipelines to identify vulnerabilities before deployment and during runtime.
What AI security threats can it detect?
The platform detects risks such as prompt injection, jailbreak attempts, unsafe or non-compliant outputs, model vulnerabilities, and data exposure risks. It helps identify issues early, before they impact production systems.
When should OI AI Security be used?
OI AI Security is used across the full AI lifecycle, from validating models before deployment to enforcing policies and monitoring behavior in production. This ensures risks are identified early and continuously managed over time.
Does OI AI Security support air-gapped or sovereign environments?
Yes. OI AI Security is designed to operate in air-gapped, on-premises, and sovereign environments, making it suitable for highly regulated and sensitive deployments.
How does OI AI Security help with compliance and regulations?
OI AI Security natively implements major AI security and compliance frameworks, including NIST, OWASP (LLM Top 10, API Top 10, Agentic Applications), MITRE, EU AI Act, ISO 42001, and GDPR.