Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why Your AI Workflow Should Never Depend on a Single Model

Network engineers have long understood redundancy. Redundant power, redundant links, redundant clusters. The reasoning is simple: any single component that can fail, will. But AI introduces a category of failure that most infrastructure teams have not yet built defenses against. Unlike hardware, AI models can become unavailable for reasons entirely outside your organization's control.

Your Security Vision Has a Network Blind Spot

Every organization has invested in endpoint detection, identity, and cloud security, yet breaches continue to occur. You’ve secured the individual points but lack the context of how those points connect; you haven't secured the paths attackers navigate. Security teams are running more tools than ever: EDR on every endpoint, MFA for every identity, CSPM on every cloud tenant, and SIEMs ingesting terabytes of logs.