Autonomous red-teaming that runs 24/7, adapts to every deploy, and surfaces real exploits — not just theoretical risks.
Traditional pen testing targets known vulnerability signatures via manual scripts. AppSentinels runs autonomous agents that probe for AI-specific behaviors, such as prompt injection, jailbreaks, and agent manipulation, adapting strategies based on live system responses. It’s built for the non-deterministic, logic-driven nature of AI systems that signature scanners were never designed to handle.
Prompt hardening is the process of testing and reinforcing AI system prompts against adversarial manipulation. AppSentinels treats this as a foundational control rather than an optional step, since a single successful prompt injection can compromise an entire agentic workflow once agents start acting with real-world consequences.
AppSentinels’ AI-driven attacker agents run continuously, observe system responses, and evolve their strategies without human scripting. When a new deployment goes live, AppSentinels automatically detects the change and begins regression testing, so security teams only need to engage when a finding requires remediation.
AI agents dynamically construct API calls from natural-language instructions, so a malicious user can craft prompts that coerce an agent into making unauthorized requests using its own elevated credentials. AppSentinels tests for both direct API access and AI-mediated access, a distinction traditional scanners can’t make.
Each step in an attack chain can look benign in isolation and pass single-step tests. AppSentinels models the full sequence, covering initial access, lateral movement, and exfiltration, because the vulnerability often only surfaces when the entire path plays out end to end.
