Cybersecurity Analytics Toolset

Risk Modeling and SimulationWe build Bayesian networks to represent and reason through complex cyber risk relationships, enabling probabilistic analysis and adaptive decision-making across scenarios.

Risk Modeling and SimulationWe simulate thousands of attack paths and event chains using Monte Carlo methods to forecast the likelihood and impact of different cyber threats across your environment.

Risk Modeling and SimulationWe generate heatmaps that visualize risk concentrations by combining probability and impact data, helping you prioritize controls and investments where they matter most.

Threat and Behavior AnalyticsWe model insider threat behavior by analyzing user activity, deviations from baselines, and contextual risk signals to surface high-fidelity behavioral alerts.

Threat and Behavior AnalyticsWe assess and optimize anomaly detection models that flag deviations in network, system, or user behavior. Our services improve signal-to-noise ratios for security teams.

Threat and Behavior AnalyticsWe develop emulation frameworks that simulate the tactics, techniques, and procedures of adversaries to stress test defenses and surface detection blind spots.

AI and ML Evaluation in SecurityWe assess vendor-supplied AI features for transparency, robustness, and true learning value. Our evaluations ensure your AI investments meet their security and operational claims.

AI and ML Evaluation in SecurityWe implement systems to monitor drift, bias, and model degradation in ML-based security solutions, helping you maintain trust and accuracy over time.

AI and ML Evaluation in SecurityWe help design and evaluate machine learning models for use in intrusion detection, phishing detection, and behavioral analytics, ensuring alignment with business goals and ethical constraints.

Cryptographic Modeling and PQC TestingWe analyze entropy across key generation and cryptographic systems to validate randomness and reduce the risk of key recovery or predictability.

Cryptographic Modeling and PQC Testing‍We conduct benchmarking tests that compare the performance of hybrid cryptographic schemes such as Kyber with RSA or ECC in TLS implementations.

Cryptographic Modeling and PQC TestingWe model which cryptographic assets and datasets are most vulnerable to future quantum threats and estimate their exposure window based on lifecycle and storage patterns.

Business Impact AnalyticsWe apply quantitative techniques to enhance traditional business impact analyses, translating asset downtime into expected financial loss distributions across scenarios.

Business Impact AnalyticsWe map cybersecurity events to specific financial exposures including regulatory fines, operational disruption, and reputational damage, enabling CFO-aligned risk planning.

Business Impact AnalyticsWe create scenario libraries and simulate cascading impacts across functions to support continuity plans, tabletop exercises, and board-level cyber risk discussions.

Security Metrics and KRI DevelopmentWe design custom KPIs and KRIs that reflect your organization’s maturity, threat landscape, and strategic goals, supporting both technical visibility and executive reporting.

Security Metrics and KRI DevelopmentWe engineer security dashboards that integrate telemetry from SIEM, EDR, cloud platforms, and governance tools, delivering real-time visibility into operational posture.

Security Metrics and KRI DevelopmentWe build alert tuning logic based on mathematical thresholds, historical baselines, and risk appetite calibration, helping reduce alert fatigue and improve response times.

Control Framework EngineeringWe develop detailed risk and control matrices that align threats, impacts, and mitigation measures across your environment. Our crosswalk mappings connect multiple frameworks and control sets, giving you a unified, traceable view of coverage and gaps.

Control Framework EngineeringWe align your controls and reporting requirements to jurisdiction-specific regulations, ensuring consistent compliance across states, sectors, and international regions. Our analysis highlights where controls diverge and where harmonization can reduce operational burden.

Control Framework EngineeringWe review your current control inventory to identify redundancies, inefficiencies, and overlapping requirements. Our rationalization process streamlines controls into a cohesive, efficient set that preserves coverage while reducing complexity and maintenance overhead.

Control Framework EngineeringWe assess your existing control environment to identify missing or underperforming safeguards, then design monitoring mechanisms that track control health over time. This supports continuous assurance, early risk detection, and stronger audit readiness.

Control Framework EngineeringWe map your environment to the updated NIST CSF 2.0 structure, identifying alignment levels and required enhancements. Our implementation plans outline prioritized steps to adopt the framework, strengthen governance, and mature cybersecurity capabilities.