Concentric AI

GenAI is accelerating faster than most organizations’ data-security programs and that gap is becoming a board-level risk. Read our article on what enterprises can do to address it - https://lnkd.in/g7Dw7wrF * Traditional data-security models no longer apply. GenAI introduces new exposure paths (prompts, shadow AI use, inadvertent data leakage) that legacy DLP and policy checklists can’t detect. * Quantifying risk is not optional. Executives need visibility into what data is being exposed, by whom, and the financial impact of potential misuse, enabling informed decisions, not blanket restrictions. * Data hygiene is now a strategic imperative. You can’t secure GenAI workflows without knowing what data you have, where it resides, and who can access it. * Governance should enable innovation, not slow it. Clear guardrails, monitored usage, and role-based controls let teams adopt GenAI safely while preserving speed and productivity. Bottom line: GenAI adoption is inevitable but unmanaged risk isn't. Leadership must modernize data-security governance now to protect the business while unlocking AI’s competitive upside.

AI ROI Is Rising... But So Is the Risk of Data Leakage(Google Reports: https://lnkd.in/gmF-XEB7) Google Cloud reports 52% of companies now run AI agents and 88% see real ROI. But the #1 barrier to scaling GenAI? Data security. Employees are pasting source code, customer data, and confidential documents into public GenAI tools like ChatGPT and Claude outside enterprise control. To protect value, leaders must enforce GenAI data policies, monitor and block sensitive data flowing to gen ai applications, and prioritize secure, enterprise-grade AI. AI drives ROI, but unsecured GenAI use can erase it instantly. ... Protect your data, govern GenAI, and scale AI confidently with Concentric AI

News headlines love a good villain story – the rogue ex-employee out for revenge or the sneaky vendor smuggling trade secrets to a competitor. But most insider threats come from normal people just trying to get their work done. If you follow that logic, it’s not a stretch to say that GenAI assistants like Microsoft Copilot might be the most talented accidental insider threat your organization has ever seen. Not because they’re plotting anything sinister – far from it – but because they are doing exactly what they were built to do. Just like regular users, Microsoft Copilot is bound by access rules and can see only what those rules allow it to see. In turn, it will reveal sensitive data only to users who are cleared to view it. The catch is that there is usually far more access than should be allowed. The underlying issue is that most organizations don’t truly know what sensitive data they have, where it’s located, and who has access to it. Without that visibility, a lot of sensitive information ends up mislabeled or not labeled at all. And when labels are wrong or missing, the access rules that depend on them fall apart. It’s like a small oversight that turns into a runaway snowball that can wipe out your data security policies along the way. But don’t lose hope just yet. There are modern data security governance tools available today, powered by context-aware AI, that deliver the results you’ve been chasing to significantly reduce the risk of Copilot disclosing sensitive information to the wrong people. Concentric AI Read my latest article published by TechNadu to learn how this technology can help your team get a handle on data security governance. https://lnkd.in/gNbzQYAn

Generative AI is reshaping how businesses operate, how we work, and even how society functions. It’s the buzzword of the moment—surrounded by equal parts hype and FUD. Yet one critical dimension often gets overlooked: data security. In our new white paper, Lane Sullivan and I unpack why GenAI differs fundamentally from past waves of AI innovation, how it can amplify data security risks *even when it's working as designed*, and what leaders can do to protect their organizations. Give it a read and share your thoughts—how is your organization approaching data security in the age of GenAI? #GenAI #DataSecurity #DataSecurityGovernance #AISecurity https://lnkd.in/gmKmSbxY

The Browser War 2.0 Has Begun — And It’s All About AI Dia (by The Browser Company), Comet (by Perplexity), Island (by Island). And now Atlas OpenAI’s own browser. The next generation of browsers isn’t just about speed or design. They’re becoming AI-native platforms — where every search, chat, workflow, and decision is powered by large language models. This shift is monumental. But it also means one thing: Your sensitive data customer PII, internal IP, source code, financials — is flowing directly into AI systems at the edge of your enterprise and it getting available to the whole world which uses these public SAAS Gen AI applications. That’s where Concentric AI’s GenAI Data Security Browser Extension steps in. 🛡️ Secure Every Prompt. Protect Every Interaction. As the AI revolution meets the browser revolution, Concentric AI provides: Real-time data classification and protection — before sensitive data ever leaves the browser. AI-aware DLP and policy enforcement, integrated directly into Chromium-based browsers along with others. Seamless compatibility across the new generation of AI browsers including Atlas, Comet, Island, Chrome and others. Complete visibility and governance With a single lightweight browser extension, enterprises can now embrace AI productivity safely — without losing control of their data. 🌍 The Future of AI Security Is at the Edge As browsers become the new AI operating systems, data security must move with them closer to where users think, chat, and create. The boundary between “browser” and “AI agent” is blurring fast — and Concentric AI is redefining how we protect that boundary. AI-native. Browser-first. Data-secure. That’s the future we’re building. The AI browser era has arrived. Data security needs to evolve with it. #GenAI #Cybersecurity #BrowserSecurity #DataProtection #LLM #AIRevolution #ConcentricAI #SwiftSecurity #ZeroTrust

GenAI isn’t another productivity tool, it’s a new layer of enterprise infrastructure that’s dissolving the perimeter. Data is flowing into models we don’t control, through tools we didn’t approve, governed by policies that don’t yet exist. When Madhu Shashanka and I wrote GenAI: A Generational Paradigm Shift, our goal was to capture this moment honestly, beyond the hype, beyond the fear and address the real reason 95% of enterprise GenAI pilots are failing. It wasn’t to add more noise to an already crowded conversation about AI, or because the technology is weak, but because governance hasn’t caught up. Leaders who move first on AI governance will innovate faster, earn greater trust, and define the standards others will follow. #GenAI #DataSecurity #DataSecurityGovernance #AISecurity #DeWeaponizeYourData https://lnkd.in/erYzRAKv