Fig vs. Drift.ai

Fig bolsters the resilience of Security Operations for modern SOC teams, enabling them to navigate transitions without falling prey to disruptions. While transformations can threaten a SOC’s operational integrity, they can also become a powerful asset; Fig guarantees that both detection and response systems remain functional even amidst changes and intentional adjustments. Drift, which occurs when unintended modifications from upstream sources interfere with detection processes and automations, can leave teams without alerts or direction, leading to prolonged and challenging efforts to diagnose and fix issues. Furthermore, planned updates, such as improvements in SecOps and infrastructure projects, often advance at a deliberate pace to mitigate risks to production systems. To tackle these obstacles, Fig provides teams with tools to detect drift, allowing them to identify when a detection or response fails, while also offering drift repair capabilities that reveal the root cause, suggest solutions, run tests, and enable deployment after receiving approval. Additionally, change modeling features permit teams to simulate proposed changes and assess their prospective impacts before they are executed in a live environment. This all-encompassing strategy guarantees that SOC teams can adeptly manage the intricacies of change, enhancing both their confidence and operational efficiency in the face of evolving challenges. Ultimately, Fig empowers SOC teams not only to respond to change but to leverage it as an opportunity for growth and improvement.

Drift is an AI-powered analytics platform designed to transform traditional Excel spreadsheets into interactive, context-aware financial analysis tools. The platform enables professionals to query complex models, uncover insights, and analyze financial data using natural language prompts. Drift works directly with Excel models, allowing users to explore large multi-tab spreadsheets without manually reviewing each sheet or formula. The system can identify errors, highlight performance drivers, and generate strategic insights from financial models in seconds. Users can enhance spreadsheet analysis by connecting external context such as documents, PDFs, presentations, or market data sources. Drift also supports role-aware insights, meaning that analysts, managers, and executives receive information tailored to their specific decision-making needs. The platform maintains persistent analytical history, allowing teams to revisit conversations, compare data over time, and build institutional knowledge. Drift’s AI can write results directly back into Excel by generating new sheets, formulas, or outputs that integrate with the original model. This ensures that insights remain actionable within the existing workflow where financial teams already operate. The platform also improves collaboration by allowing teams to work from the same contextualized analysis rather than isolated spreadsheet versions. Enterprise security features such as encryption, SOC 2 controls, and strict data isolation ensure sensitive financial information remains protected. By turning spreadsheets into dynamic analysis environments, Drift helps financial professionals make faster, clearer, and more informed decisions. Overall, the platform bridges the gap between raw financial models and strategic insights needed by leadership teams.