Andrey Lukashenkov
Andrey Lukashenkov handles all things revenue, product, and marketing at Vulners - a bootstrapped, profitable company committed to providing an all-in-all vulnerability intelligence platform to the cybersecurity community.
Being naturally curious and having a technical background, he leverages unlimited access to the Vulners database to explore various topics related to vulnerability management, prioritization, exploitation, and scoring.
Session
LLMs are often presented as a shortcut from “hundreds of findings” to “actionable summary.” In reality, getting useful and trustworthy output is less about a single prompt and more about understanding the knobs you can turn - and what typically happens when you turn them.
This talk uses vulnerability assessment results analysis as a concrete example task, but the goal is broader: a research-style exploration of the design space for LLM-assisted summarization. We’ll map the main control surfaces - goal definition, output constraints, input shaping, model selection, evaluation methods, and cost/latency budgets - and show how changing each one affects faithfulness, specificity, consistency, and failure modes.
The session offers a practical framework for experimenting safely: define measurable requirements, run iterative comparisons, and use structured judging to learn which combinations of knobs move you toward “useful” versus “confidently wrong.” Attendees leave with a repeatable way to reason about tradeoffs and a set of patterns they can apply to other security summarization problems.