Home › Use Cases
Use Cases
Built for the AI attack class
The tools your teams adopt open an attack surface your stack was never built to see. SalienceCyber.ai prevents the threats that AI adoption creates — at the moment of interaction.
The Threat Landscape
Three classes of attack. One decision system.
AI-Enhanced
Human-led, AI-amplified
Familiar tradecraft executed at a speed and scale human defenders cannot match.
AI-Native
The target is your AI
Prompt injection and agentic exploitation — attacks aimed at the AI systems your teams now depend on.
AI-Generated
The author is the AI
Novel, polymorphic payloads written by a model, carrying no prior signature to match.
Where It Shows Up
Four places AI adoption opens a door.
Injected instructionPrompt injectionAn employee opens an AI tool to draft a proposal. An injection hidden in a web page is already riding their session.Neutralized at the browser plane, before it lands.Explore →Signature-less payloadAI-generated malwareAttackers author novel, polymorphic malware faster than signature libraries can keep up with.Caught by comprehending intent, not matching hashes.Explore →Autonomous actionAgentic exploitationAutonomous agents take actions and chain tool calls faster than any human can review them.Each step comprehended, exploitation stopped before it executes.Explore →Unsanctioned useShadow AIYour teams are using AI tools you cannot see, on data you have not scoped.Surfaced and governed at the point of interaction.Explore →