Automating Control Points in Financial Operations
A guide to minimizing human error risks by implementing automated control points in financial processes.
INSIGHTS & PRACTICE
Practical guides to business-process automation: from the first assessment to measurable results.
72 publications
A guide to minimizing human error risks by implementing automated control points in financial processes.
How critical infrastructure operators can adapt the NIST AI RMF 1.0 framework to defend against specific AI threats and integrate it into corporate cybersecurity.
How to build a controlled identity lifecycle, implement regular access reviews, and eliminate "orphaned" access vulnerabilities to protect against cyber threats.
How to secure industrial legacy systems and meet NIS2 requirements without disrupting production processes.
How to protect corporate LLM integrations from data leaks and new attack vectors using NIST AI RMF, MITRE ATT&CK frameworks, and Security by Design architecture.
How to balance technical cyberattack containment with strict compliance reporting requirements during the critical first 24 hours after threat detection.
We analyze common pitfalls in implementing monitoring tools and certifications without making real changes to daily security team processes.
How to transition from chaotic protection to systemic resilience, identify hidden gaps, and implement targeted solutions that limit the blast radius without replacing the entire IT infrastructure.
A practical approach to overcoming SOC alert fatigue through MITRE ATT&CK mapping, SOAR automation, and NIST CSF 2.0 business prioritization.
Combining NIS2 directives, ISO/IEC 27001 processes, and KSZI requirements without redundant workflows. A practical approach to security architecture.
Moving from chaotic software procurement to systematic cyber resilience through threat modeling, architectural controls, and Security by Design principles.
How to avoid cementing inefficiencies, replace fragile RPA scenarios with reliable API integrations, and safely implement AI into operational workflows using BPMN and DMN standards.