Prompt injection is an attack where malicious content in the agent's input — a user message, a document it reads, a database record — overrides the agent's instructions and causes it to take unintended actions. For enterprise agents with access to real systems, this can mean unauthorized data access, privilege escalation, or destructive actions. It is the most common and most dangerous AI-specific vulnerability.

Traditional security tools test deterministic code paths. AI agents are non-deterministic — the same input can produce different outputs, and attacks often exploit the model's reasoning rather than code vulnerabilities. AI security requires specialized testing methodologies, including adversarial prompt crafting, behavioral analysis, and tool-call monitoring.

Yes. We run security assessments against both pre-production and live agents. For production systems, we use non-destructive testing methods and coordinate with your team to avoid service disruption. Findings are prioritized by exploitability and business impact.

It covers detection (how you know an agent has been compromised or is behaving anomalously), containment (how you isolate the agent without taking down dependent systems), investigation (how you reconstruct what happened from logs and traces), and recovery (how you restore safe operation). It is specific to AI attack scenarios, not a generic IR template.