Research topicRed Teaming
Attacking your own AI on purpose to find weak spots before criminals do.
Korpalis selects material that helps builders and business teams understand what changed, why it matters and what to check next. Every entry below includes an original explanation and a direct link to its publisher.
Red TeamingAdvanced
The research explores using LLMs to automate the discovery and exploitation of security weaknesses in autonomous vehicle software, moving beyond static analysis to confirm vulnerabilities are actually reachable through malicious input. This addresses a practical gap in testing safety-critical systems by leveraging LLM capabilities to generate test cases that would otherwise require extensive manual engineering.
Red TeamingIntermediate
Using goal-based prompting with an AI code-analysis tool, researchers systematized bug discovery in major open-source projects by formulating objectives rather than instructions, uncovering variant CVEs, soundness holes, and privilege-escalation bugs. The technique proved effective because goal-framing lets the tool work autonomously toward success conditions defined by specific criteria rather than step-by-step commands.
