Assessing the security of this collection of systems and services involves skillful analysis and and deep understanding of both security and AI. Rule4 has the unique combination of experience and skills to span the breadth of this complex landscape.
AI Security Assessment
Making sure your AI implementation starts off on a secure foot — and stay that way.
AI is a force multiplier. But is your implementation secure?
A production-grade, fully functional AI ecosystem for your enterprise environment requires, among other things, a number of supporting subsystems:
Data collection and ingestion
Orchestration engine
Auto scale-up/scale-down
ETL
API gateway(s)
Configuration management
Cybersecurity protection (IDS, IPS, IAM, event logging, certificate management, authentication, etc.)
Server infrastructure (cloud, on-premise, or both)
Application platform scaffolding
Network/SDN management (VPN tunnels, routing, bandwidth management, etc.)
Monitoring
Data validation and verification
An environment is only as secure as the weakest link the in the chain. All components of the AI ecosystem contribute to security and data protection.
Don't let AI be security's forgotten stepchild!
Let's discuss your organization’s AI ecosystem security challenges and opportunities.
