The moment an AI system can read internal systems, trigger workflows, move money, send emails, update records or approve actions, the risk profile changes.

Fintech operates under constant regulatory pressure. At the same time, competitive pressure demands speed, innovation, and intelligent automation. Risk and compliance systems sit at the...Read More ...

Model-based systems engineering is quietly, but consistently, becoming an important part of the design, maintenance, and cybersecurity of the federal government’s most complex IT platforms. MBSE ...

Beyond programming languages, the Secure Future Initiative is built around a CISO-led governance model that partners closely with engineering teams. Risks are prioritized, standards are set, and ...

AI transformation cannot be "AI for everything." Successful enterprises focus on a limited set of high-impact use cases with measurable outcomes.

OpenAI has updated its Preparedness Framework — the internal system it uses to assess the safety of AI models and determine necessary safeguards during development and deployment. In the update, ...

Model-based systems engineering is widely used when designing complex systems, but the question remains of when is it right for your project or system. Model-based system engineering is widely used by ...