You can outsource the work, but you cannot outsource the risk. When a third-party vendor suffers a data breach, violates labor laws, or fails a regulatory audit, the headlines rarely blame the vendor. They blame you. The reputational damage, the regulatory fines, and the operational chaos fall squarely on your shoulders. Third parties are responsible for 53% of data breaches. Trusting vendors without verifying their ...
If you are relying on a static, spreadsheet-based checklist to secure a workforce scattered across kitchen tables and coffee shops, you are already falling behind. The outcome isn't just a failed audit; it is the massive financial and reputational damage caused by data breaches that happen outside your firewall. Today, your HIPAA "perimeter" extends everywhere your employees go, and managing this dynamic environment requires more ...
For years, you have likely operated under a "best-effort" compliance model. If you submitted your data, responded to audits reasonably well, and fixed errors as they arose, you remained safe. In 2026, that safety net disappears. The Centers for Medicare & Medicaid Services (CMS) is shifting its stance. They no longer want to see your effort; they want to see your proof. The new enforcement ...
By 2031, cybercrime will cost the world $12.2 trillion annually. That is roughly $386,000 in damages every single second. If you are still managing risk with static spreadsheets or annual training cycles, you are fighting a digital war with analog tools. The compliance landscape for 2026 isn't just shifting; it is accelerating. From autonomous AI agents that make decisions without human oversight to "N-th party" ...
Risk does not arrive on a schedule. Cyber incidents, third-party failures, regulatory changes, and internal control breakdowns often surface at the same time, across different parts of the organization. In a business environment where a single data breach costs an average of $4.45 million (up 15% over three years), managing risk in spreadsheets or isolated systems is no longer just inefficient—it is a financial liability. ...
Key Takeaways Operational resilience is a mindset, not a checklist — successful companies embed it into daily operations. Regulatory pressure is increasing demand for traceable, tech-driven risk management strategies. Integrated risk management transforms resilience from a defensive tactic into a strategic advantage. Operational resilience enables faster, smarter responses that turn disruption into long-term momentum. Every organization says it’s prepared for the unexpected. Then a storm ...
You might be more exposed than you realize. Here is how to spot the red flags in your hiring and training programs before an investigation starts. In 2024 alone, the Department of Justice (DOJ) recovered around $2.7 billion through False Claims Act cases tied to compliance failures. With the 2025 guidance, DEI programs now sit in the same high-risk zone as billing fraud, procurement violations, ...
Key Takeaways: Third-party risk is dynamic, requiring continuous monitoring rather than one-time onboarding assessments. Behavioral signals and real-time data provide early warnings that traditional vendor reviews often miss. ESG criteria are now essential to vendor oversight, expanding risk considerations beyond cyber and financial metrics. Effective vendor risk management programs integrate continuous monitoring, behavior analytics, ESG tracking, and lifecycle management, ideally through a unified platform like ...
Case study at-a-glance Background Stewart Title is a leading global title insurance and real estate services company that manages complex and constantly changing regulatory requirements internationally. To strengthen visibility, reduce manual work, and align processes across the organization, Stewart Title selected SAI360 as its enterprise platform for Policy Management, Enterprise and IT Risk Management, Vendor Risk Management, Business Continuity Management, and Audit Management. These connected ...
Some business risks are so new and complex that there isn’t enough data to size them yet. Early evidence can be thin, sources can conflict, and definitions can keep shifting. Not even past loss data and stable benchmarks will help. Take fraud + AI, for instance: a clear example of when emerging risks can be too new to make proper sense of them. For example, imagine you send money to someone you think is a colleague—they even call you on Teams and you can see ...
