Security Research Lab
Combining research expertise with field-tested LLM methodologies.
How We Work
We combine decades of security research expertise and carefully crafted LLM methodologies to achieve efficient, wide and accurate vulnerability discovery coverage.
We turn offensive research conclusions into practical defense strategies: root-cause analysis, remediation guidance, variant hunting, fix validation, and engineering feedback your team can apply across future releases.
LLM-Enhanced Research
LucidBit Labs researchers use field-tested LLM-assisted workflows to make vulnerability research broader, faster, and more systematic - without outsourcing judgment to the model.
LLMs help us understand large codebases, explore attack surfaces, generate vulnerability hypotheses, analyze diffs, and search for variants. But they are not treated as magical oracles, and their output is never accepted as ground truth.
Our engagements are led by senior researchers who understand the target system, select the right tools and workflows, and validate findings through code analysis, testing, exploitability review, and manual verification.
Model output can vary between runs. We use structured workflows, repeated analysis, cross-checking, and researcher review to reduce noise and avoid relying on a single model answer.
LLMs can produce false positives, miss runtime constraints, misunderstand code, or confuse intended behavior with security impact. Findings must be proven before they are reported.
LLMs are useful tools, but their results are lacking without expert application. Our team built expertise in applying these tools with maximal quality.
Generic prompts produce generic results. Without target-specific direction, LLMs lose focus and thus, quality. We ground the workflow in the client’s architecture, assets, trust boundaries, critical flows, and realistic attacker assumptions.
Engagement Models
A time-boxed engagement for a specific target, release, application, codebase, protocol, binary, or high-risk component.
We efficiently map the system, identify realistic attack paths, validate findings manually, and report vulnerabilities with clear impact, evidence, and remediation guidance.
Best for product launches, major releases, critical components, pre-production review, or focused vulnerability discovery.
Systems change. We build a tailored suite of tools to continuously monitor your code for new vulnerabilities.
Our team learns your system, what kind of risks and impacts matter most, how your SDLC works, and how to best integrate into your development process. Build an LLM-powered security process to find new vulnerabilities early, as your code changes. As your systems change over time, we routinely update our models and tooling to keep up with your evolving codebase.
Get Started
Tell us what you are building, what you are worried about, and we’ll take it from there.
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