Sprinto

TL;DR Shadow IT is the unauthorized use of apps, devices, services, or infrastructure without IT approval. Think personal Dropbox for work files or an unsanctioned Slack workspace. Shadow AI is a subset of Shadow IT involving AI tools, models, and AI features embedded in approved software. Examples: pasting source code into public ChatGPT, or AI... The post Shadow AI vs Shadow IT: What’s the Difference and Why It Matters for Security and Compliance appeared first on Sprinto .

Tldr AI is changing vendor tiering because risk is no longer limited to core infrastructure vendors. Traditional backbone categories like cloud, cybersecurity, and DevOps still require the highest governance rigor, but AI integrations are now expanding runtime exposure across CRMs, collaboration tools, HR systems, finance platforms, and other operational SaaS categories. At the same time,... The post The New Vendor Tiering Model: How to Categorize Vendor Risk in an AI Era appeared first on Sprinto .

TLDR Vendor concentration risk is becoming harder to defend because many critical vendor categories now have only a few viable providers, while AI integrations are increasing how much impact those vendors can have at runtime. Defensible vendor selection now requires organizations to clearly document why specific vendors were chosen, what risks were accepted, and how... The post Vendor Concentration Risk: What Does Defensible Selection Look Like in 2026? appeared first on Sprinto .

TLDR AI is changing vendor exposure faster than traditional TPRM review cycles can keep up. Vendor configuration drift, new integrations, and AI automation can materially change runtime risk even when no new vendors are added. Sprinto’s Vendor Category Landscape 2026 explains why continuous vendor risk monitoring is becoming critical for maintaining defensible, real-time visibility into... The post Continuous Vendor Risk Monitoring: How AI Has Changed What Defensibility Actually Looks Like appeared first on Sprinto .

TL;DRAI is being embedded into vendor products faster than third-party risk management programs can assess it. CRMs, HR platforms, customer support tools, and dozens of operational SaaS categories now route data through AI inference layers that didn’t exist when those vendors were originally onboarded. Sprinto’s Vendor Category Landscape 2026 maps where this exposure is now... The post 201-Vendor Study Uncovers How AI is Driving Risk and Blast Radius appeared first on Sprinto .

TL;DR The EU AI Act applies to your organization if you store or manage EU citizen data, work with vendors who do, or deploy AI systems whose outputs affect people in the EU, regardless of where you are headquartered. Your system’s reach into EU markets, not your company’s address, is what puts you in scope.... The post EU AI Act Compliance Checklist Your Team Needs Before August 2026 appeared first on Sprinto .

Most GRC teams don’t need another reminder that AI risk is real. Given the breakneck pace of AI adoption, they probably have a closer seat to the problem than anyone else in the organization.  Sprinto’s CISO AI Pulse Check Report found that three in four CISOs have already discovered unsanctioned AI tools inside their environments,... The post What AI Risks Exist Today? A Guide for GRC Teams in 2026 appeared first on Sprinto .

AI is scaling faster than any technology before it, and every function it touches is being reshaped in real time. As adoption accelerates across your org, the responsibility to govern it lands exactly where it always does: on the desks of GRC teams, InfoSec leads, and CISOs. The technology is new. The accountability structure is not.... The post What Is AI Governance and Why Do You Need It? appeared first on Sprinto .

TL;DR Enterprise AI Governance is the system of policies, controls, and accountability structures that lets large organizations use AI responsibly, at scale, without grinding innovation to a halt. At enterprise scale, governance is far more complex than compliance. You are managing hundreds of AI systems, dozens of vendors, multiple geographies, and a regulatory landscape that... The post What is Enterprise AI Governance? Frameworks, Risks, and How to Get Started appeared first on Sprinto .

TL;DR The EU AI Act is, at its core, a product-safety law for AI, not another data-protection law. The focus is on intended purpose, risk classification, controls, and evidence, not just data handling. Your obligations depend on your role in the AI value chain (provider, deployer, importer, distributor, or downstream provider), not just on the... The post EU AI Act Compliance: Requirements, Obligations, and Implementation Guide for Businesses appeared first on Sprinto .

Quarterly Report filed 2026-05-07