Discerno Cyber
Discerno Cyber provides AI-native cyber diligence for M&A, letting deal teams run thesis-driven, stage-appropriate assessments before term sheets are signed. The platform claims to have cut $350 million from a purchase price after surfacing breaches, translating findings into valuation, escrow, and indemnity terms deal teams already use.
- Cybersecurity
- Artificial Intelligence
- Data & Analytics
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Cyber diligence in M&A typically lands too late in the process, after negotiating leverage is gone. Hidden breaches can slash deal value, trigger regulatory action, and expose the acquirer to inherited threats, yet traditional assessments are often too expensive and slow to run before term sheets are signed.
Solution
Discerno Cyber runs thesis-driven, stage-appropriate cyber due diligence for M&A. The platform classifies each deal to focus scope on what actually threatens value, then ramps analysis depth with deal certainty—offering light, low-cost signal before the term sheet and deeper work for deals likely to close. Discerno's proprietary, deterministic AI harness makes analysis cheap enough to run early and rigorous enough to defend in negotiations. Findings are translated into the instruments deal teams already use, including valuation adjustments, pricing, escrow structures, indemnities, and reps and warranties.
Target Audience
Primary customers are M&A deal teams—including strategic acquirers, private equity firms, and corporate development functions—who need cyber risk priced into transactions early enough to change deal terms.
Features
- Deal classification system that streamlines communication and limits scope to value-threatening cyber risks
- Stage-appropriate depth scaling from pre-term-sheet signal to deep close-stage diligence
- Proprietary AI-native analysis harness that is reviewable, deterministic, and defensible
- Outputs mapped directly to M&A instruments including valuation, pricing, escrow, indemnities, and reps and warranties
- Based on doctoral research from Purdue University