How Stairwell Uses Claude to Simplify Cybersecurity Threat Analysis
Stairwell, a cybersecurity company, integrated Claude into its Maleval threat detection platform to summarize complex security findings for analysts. Claude's large context window allows it to process 40,000+ character API responses in a single pass, converting dense technical data into clear, actionable insights with minimal prompt engineering.
Impact
40,000+ characters
Security data processed per Claude request
Challenge
Security teams struggled to quickly interpret and act on large volumes of complex technical threat data from Stairwell's detection system, limiting response speed and requiring specialist expertise.
Solution
Stairwell integrated Claude into its Maleval platform to process and summarize security findings of up to 40,000+ characters, leveraging Claude's large context window and natural technical comprehension to produce clear, actionable insights with minimal prompt engineering.
Tools & Technologies
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Full Story
Stairwell builds technology to help security teams detect and respond to targeted threats that bypass traditional defenses. Its proprietary Maleval system identifies malicious behavior, but the volume and technical complexity of security data created a gap: findings were hard to interpret quickly, especially for analysts who weren't deep malware specialists.
The challenge was both speed and accessibility. Security teams needed to rapidly triage findings and understand what mattered most, but translating raw technical signals into actionable summaries at scale was labor-intensive and required specialist knowledge.
Stairwell integrated Claude directly into its analysis workflow. Claude processes Maleval's API responses—sometimes exceeding 40,000 characters—and summarizes them into clear, plain-language descriptions of threats and their significance. Crucially, Claude handles this with minimal prompt engineering; a straightforward instruction yields high-quality results because Claude naturally interprets complex security schemas without needing detailed context.
The result is a force multiplier for security teams. Analysts across skill levels can now understand sophisticated threat findings without requiring deep malware expertise.
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