Artificial intelligence has moved rapidly from experimentation to production deployment. What once lived in research environments or internal prototypes is now embedded in customer-facing applications, decision-making systems, and core business workflows. For software developers, this transition introduces a new category of risk that extends beyond traditional software concerns. AI and emerging technology risk encompasses more […]

Financial services organizations rely heavily on software to support core operations, customer engagement, and regulatory compliance. From online banking platforms to payment processing systems and risk management tools, third-party technology has become deeply embedded in day-to-day financial activity. As reliance on external software providers grows, so does exposure to third-party technology risk. Financial institutions must

Innovation drives competitive advantage—but for enterprise organizations, innovation without risk controls is not strategy, it is exposure. Nearly every transformative technology follows a predictable adoption pattern. A small group of innovators builds it. Early adopters test it. Success stories emerge. Then, at some point, larger and more risk-aware organizations consider deploying it at scale. Between

In B2B software environments, trust is built over time through reliability, transparency, and continuity. While security certifications play an important role in demonstrating compliance and governance, they represent only one dimension of software risk management. For software developers, particularly those delivering mission critical platforms, long-term trust depends on how well operational, vendor, and lifecycle risks

AI Vendor Risk: Why Enterprises Can’t Afford Software Disruption AI and emerging technologies are central to modern enterprise operations, powering decision-making, automation, and data-driven insights. However, the increasing reliance on third-party AI software creates a critical vulnerability: vendor failure. When an AI software vendor goes out of business, enterprises risk operational disruption, regulatory non-compliance, and

AI Vendor Risk: Why Enterprises Can’t Afford Software Disruption AI and emerging technologies are central to modern enterprise operations, powering decision-making, automation, and data-driven insights. However, the increasing reliance on third-party AI software creates a critical vulnerability: vendor failure. When an AI software vendor goes out of business, enterprises risk operational disruption, regulatory non-compliance, and