AI Impact Summit 2026 Highlights | FinTech, AI & Data Security Insights #ai

AI Impact Summit 2026 Highlights | AI, FinTech & Data Security Insights from Delhi This video covers our 5-day experience at AI Impact Summit 2026 in New Delhi, one of India's leading technology events focused on Artificial Intelligence, FinTech, Data Security, and Compliance. During the summit, we connected with industry leaders, CISOs, FinTech professionals, and AI innovators, discussing the latest developments in data protection, AI governance, cybersecurity, and enterprise AI adoption.

Data Loss Prevention (DLP): What It Is, Types, and Solutions

Most data breaches don’t happen because systems fail. They happen because people make routine errors. Attackers know this, which is why social engineering has become the dominant attack vector, exploiting everyday actions like emailing files or responding to messages. Today, 70–90% of successful cyber attacks involve social engineering, resulting in data exposure that technical safeguards can’t intercept.

Entropy vs. Polymorphic Tokenization: Which One Actually Protects Your AI Pipeline?

If you’re building AI applications that touch sensitive data, tokenization isn’t optional. It’s the layer that decides whether your pipeline leaks PHI, PII, or financial data to your LLM, or keeps it protected. But here’s where most teams stop thinking: not all tokenization is the same. Two approaches you’ll encounter most often are entropy-based tokenization and polymorphic tokenization. They sound similar. They serve completely different purposes.

How KeeperPAM Integrates With CNAPP

Description: Cloud-Native Application Protection Platforms (CNAPPs) provide visibility into cloud risk, but without a Privileged Access Management (PAM) solution, organizations cannot enforce secure access with CNAPPs alone. In this video, learn how KeeperPAM integrates with CNAPPs to enforce zero-trust, least-privilege access across cloud-native environments.

Fake Calendar Invitations Move to Microsoft Outlook

Fake calendar invites have been a problem on Gmail for years. Even though they could appear on other calendar services, I hadn’t seen or read about a lot of it. Gmail had been taking the brunt of the fake calendar invites. However, I got a scam Microsoft Outlook calendar invite recently, and other Outlook users are complaining more as well. So, what was previously happening mostly in Gmail has now moved over to Outlook, too. I am a busy guy.

What is Data Masking

AI adoption is growing fast. But so are data risks. From Samsung’s internal code leak via ChatGPT to chatbot failures at global brands, recent incidents show one thing clearly: sensitive data can escape in unexpected ways. Most breaches today are not traditional hacks. They happen through AI tools, prompts, and automation workflows. This is why understanding what data masking is is critical. It helps organizations protect sensitive information without slowing innovation or breaking AI accuracy.

What Tools Do Hackers Use to Weaponize Emails?

Email attacks have become one of the key ways for hackers to target organizations and individuals. The sheer number of tools available has made it easier than ever for non-technical cybercriminals to launch sophisticated cyber attacks. As a result, many resources are available for each stage of the kill chain – from reconnaissance to delivery to weaponization. This article focuses on the second stage of the cyber kill chain – weaponization.

AI Access Without Add-Ons or Limits

Artificial intelligence (AI) within security operations has shifted from basic summarization to fully agentic systems that participate in threat detection, investigation, and response (TDIR). As these capabilities evolve, many vendors restrict access through add-ons, credits, or gated previews. The result is predictable: Analysts use AI less, trust it less, and see less value from it. Agentic AI capabilities should be available the moment analysts need it, not controlled through tiers or metering.

Daniel dos Santos on defending against opportunistic cyberattacks

Complicated, targeted attacks aren’t the only methods you should be on the lookout for. Security fundamentals are important for defending against opportunistic that can cause chaos! On this episode of Data Security Decoded, Daniel dos Santos (VP of Research, Forescout Technologies) and host Caleb Tolin explore attacker motivations, common entry points, and what defenders must prioritize now. Listen to the full episode on our YouTube channel, or wherever you get your podcasts.

What is SIEM migration and how can AI automate the transfer?

Understand what SIEM migration involves and how AI can automate rule conversion, data transfer, and validation processes. Learn how AI reduces migration time while maintaining accuracy and security. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.