Analytics
Security Analytics
Security Analytics combines data from various sources and looks for patterns or anomalies in that data that could give hints of potential attacks. There are many elements to an analytics solution, but the main ones are:
Behavioral Analytics – Studying the patterns of behavior of an end user or their software for anything out of the ordinary. A major example of this would be in the financial industry if there is a random charge on a credit card in the middle of the night when the user rarely uses their card at that time or if an employee accesses the work systems during off hours to send unusual commands.
Network Analysis – This is a system that monitors traffic across your network to identify unusual packets of information moving around your systems.
Forensics – This is used to identify past or ongoing attacks to determine how systems were affected and how to prevent or defend against similar attacks in the future.
How does this help you?
Having security analytics in place will give you the data required to investigate past or ongoing attacks, learn how the attacks affected your systems, plan for and anticipate future attacks, and help teach us how to defend against those attacks and prepare for the evolution of those attacks.
Analytics Assessments We Perform
-
Risk Modeling and Simulation
We apply advanced mathematical techniques to model and simulate cyber risk. Our services include Bayesian inference modeling, Monte Carlo simulations of attack paths, and probability heatmapping to identify high-impact areas. These tools support risk quantification, cyber insurance justification, and board-level reporting. Our models align with NIST 800-30, FAIR, and ISO 27005 methodologies.
-
Threat and Behavior Analytics
We develop behavior-based analytics programs to detect insider threats, advanced persistent threats, and anomalous activity. Using statistical modeling, time-series analysis, and graph-based detection methods, we uncover patterns missed by traditional rules-based detection. Our services support SOCs and threat hunters in building high-fidelity alerting and behavioral risk insights.
-
AI and ML Evaluation in Security
We evaluate the effectiveness and safety of AI and machine learning systems deployed in cybersecurity contexts. Our team assesses vendor claims, validates models, and monitors drift, bias, and interpretability concerns. Whether reviewing a SIEM's ML engine or building an internal model for threat detection, we ensure your AI tools are defensible and aligned with responsible AI principles.
-
Cryptographic Modeling and PQC Testing
Our cryptographic analytics services include entropy validation, key strength modeling, and performance benchmarking for post-quantum and hybrid encryption systems. We assess cryptographic agility and readiness using NIST PQC guidelines, FIPS 140-3 controls, and NSA CNSA 2.0 standards. These models help organizations identify exposure to quantum threats and plan transition strategies.
-
Business Impact Analytics
We quantify the operational and financial impact of cyber events through data-driven business impact analysis. This includes downtime cost modeling, scenario-based loss projections, and integration with risk registers. Our approach enhances traditional BIA methods by incorporating probabilistic forecasting and actuarial modeling to better inform continuity planning and investment decisions.
-
Security Metrics and KRI Development
We build metric frameworks that turn raw security data into executive-ready KPIs and KRIs. Our analytics team develops dashboards, scoring systems, and alerting thresholds that measure performance, risk, and resilience. These tools help CISOs, vCISOs, and risk committees maintain visibility and alignment with NIST CSF, ISO 27004, and business objectives.
-
Control Framework Engineering
We design, map, and optimize cybersecurity control frameworks that provide measurable, defensible coverage across your organization. Our work includes developing risk-aligned control sets, building crosswalks between frameworks, and engineering monitoring mechanisms that validate control performance over time. Using NIST CSF 2.0, NIST 800-53, ISO 27001, CIS Controls, and jurisdiction-specific regulations, we help organizations eliminate duplicative controls, strengthen accountability, and create a unified architecture that supports audits, governance functions, and continuous assurance.