Change-Aware Continuous Red-Teaming
AI systems evolve constantly—models are updated, prompts change, tools are added, and execution dependencies shift. AppSentinels detects these changes and re-evaluates how attackers could exploit them to manipulate AI behavior and abuse business logic.
This goes beyond simple prompt scanning. AppSentinels tests for abuse patterns such as:
- Prompt injection and instruction manipulation
- Context poisoning across multi-step workflows
- Tool misuse and privilege escalation
- Agent and sub-agent chaining abuse
These simulations reveal how valid inputs can be weaponized to produce harmful outcomes.
Prompt, Context & Tool Abuse Simulation
Expose Business Logic Abuse Paths
AI attacks exploit logic, not vulnerabilities. AppSentinels identifies how attackers can manipulate AI decisions to trigger risky actions through valid APIs and tools, such as unauthorized transactions, account changes, or unsafe access to sensitive data.
Every finding is tied to the AI agent or workflow involved, the execution path, and the potential business impact. This helps teams focus on the highest-risk issues and feed results into posture management and runtime guardrails.