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Picus Security Partners With ThreatConnect to Deliver Evidence-Based Risk Quantification

Picus Security Partners With ThreatConnect to Deliver Evidence-Based Risk Quantification

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Combining Breach and Attack Simulation and Risk Quantification Into a Single Platform, Picus Brings Real-World Evidence to Cyber Risk Calculations

Picus Security, the leading security validation company, unveiled its industry-first Risk Quantification Module, delivering a transparent, validation-first approach to cyber risk measurement. At the heart of this new module isย ThreatConnectโ€™s Risk Quantifier (RQ), which powers the financial modeling engine behind Picus’ real-time risk insights. Together, the two platforms enable security and business leaders to quantify cyber risk in monetary terms based not on assumptions, but on validated control performance from Picus. By replacing assumption-driven models with continuous attack simulations, Picus enables security and business leaders to quantify risk in financial terms based on how well defenses actually perform.

With the average cost of a data breach beingย $4.4 million, companies are increasingly concerned with quantifying risk. Outdated approaches often fail to reflect how security defenses behave in real-world scenarios โ€” limiting their value in executive decision-making. The newย Picus Risk Quantification Module, backed by ThreatConnect RQ, fundamentally changes this paradigm by combining continuous breach and attack simulation (BAS) with rigorous financial risk modeling. Rather than estimate how defenses should perform, Picus demonstrates how they actually perform against real-world adversary techniques.

โ€œSecurity leaders canโ€™t afford to make security decisions based on assumptions,โ€ said Volkan Ertรผrk, co-founder and CTO of Picus Security. โ€œTogether, Picus and ThreatConnect offer organizations something theyโ€™ve never had before: a defensible and transparent way to link security performance with business impact, backed by live attack simulation data.โ€

Also Read:ย Cyberhaven Names James McCarthy SVP of Sales to Meet Growing Demand for Data Security Solutions

The Picus Risk Quantification Module takes a validation-first approach with continuous BAS capabilities, testing security controls across cloud, network and endpoint layers. These simulations are mapped to the MITRE ATT&CK framework, providing traceable evidence of which adversarial techniques can breach defenses, which ones are blocked and where exposures persist. These results are enriched byย ThreatConnectโ€™s Risk Quantifier, which dynamically calculates financial risk by factoring in exploitability, control efficacy, asset value, threat actor behavior and residual exposure. The outcome is a more accurate financial risk assessment, driven by variables such as exploitability, asset value, threat actor activity, and real-world control efficacy. These insights are surfaced within theย Picus Business Risk Dashboardย โ€” a real-time view of validated cyber risk tailored to an organizationโ€™s environment.

Security teams can assess the financial impact of potential breaches based on observed exposures, business context and industry benchmarks. They can measure security control visibility to understand which tools are performing under pressure and compare risk across defined business scopes, such as departments, services or regions. The dashboard also reveals which adversary groups pose the greatest financial risk to an organization based on simulation results and threat intelligence.

โ€œUnderstanding risk without business context is like flying blind,โ€ said Jerry Caponera, general manager of risk quantification for ThreatConnect. โ€œPicus delivers unmatched insight into how defenses actually perform, and when that validated control data is combined with our financial risk modeling, organizations gain a clear, credible view of what threats truly mean to the business. Itโ€™s a powerful combination โ€” one that transforms technical findings into actionable business decisions.โ€

Also Read:ย Building Scalable Cloud Architectures for Real-Time Mobile Game Performance Testing

[To share your insights with us as part of editorial or sponsored content, please write toย psen@itechseries.com]

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