Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

3 CalypsoAI Alternates Analysed: Pricing, Key Capabilities, USP, Pros, & Cons

Over the past few years, enterprises have rapidly integrated GenAI into an increasing number of workflows and use cases. Amidst the rush and excitement to adopt a free tool that significantly boosts productivity, business leaders de-prioritized privacy, till it became a compliance issue. As privacy tools offering a quick patch quickly flooded the market, businesses ran into a new problem – which is the best tool?

Meet the Founders of Protecto: Securing Data for Agentic AI

In this video, we introduce the visionary founders behind Protecto — a company on a mission to make AI safe and compliant for the enterprise era. Amar Kanagaraj, Founder & CEO A second-time entrepreneur, Amar previously led a startup to a successful exit. He began his career as a developer at Sun Microsystems, then went on to lead product management for Microsoft Search & AI. With an MBA from Carnegie Mellon and an MS in Computer Science from LSU, Amar brings a powerful blend of business and technical insight to Protecto.

What No One Tells You About Scaling Enterprise AI | Ep: 1 | AI On The Edge

Watch this exclusive LinkedIn Live conversation at the frontier of privacy, security, and GenAI. Learn how to successfully scale AI initiatives in your enterprise with proven strategies that prioritize business value over technology complexity, featuring insights from Rakuten India's VP of AI & Data. Guest: Anirban Nandi – Vice President AI & Data @ Rakuten India Host: Amar Kanagaraj – Founder & CEO @ Protecto.

DeepSight by Protecto: AI-Native Sensitive Data Detection for Developers

Thanks to a wide range of use cases that automate manual activities, enterprises are rushing to integrate GenAI into their IT stack, only to realize they’ve hit a privacy wall. A concerning number of use cases involve the use of sensitive data like PII and PHI, risking data privacy and compliance. Enterprises today are becoming increasingly aware of these multifaceted risks associated with unfiltered AI usage and turning to the common solution available in the market – AI privacy tools.

3 CalypsoAI Alternatives Analyzed: Pricing, Key Capabilities, USP, Pros, & Cons

Over the past few years, enterprises have rapidly integrated GenAI into an increasing number of workflows and use cases. Amidst the rush and excitement to adopt a free tool that significantly boosts productivity, business leaders de-prioritized privacy, till it became a compliance issue. As privacy tools offering a quick patch quickly flooded the market, businesses ran into a new problem – which is the best tool?

How Businesses Using GPT 4.1 Can Comply With DPDP's Data Residency Bill

Until 2023, India’s data privacy landscape was largely unregulated – businesses didn’t have to worry about how they process and store data. Sensitive customer data like Personally Identifiable Information (PII) could travel around the world in 80 days and land back to its source without violating a single regulation. While the unregulated digital space was a boon for data dependent businesses, it was a bane for customer privacy.

Protecting Sensitive Data in Snowflake through Protecto's External Tokenization

With the rapid expansion of cloud data storage and analytics, enterprises are increasingly leveraging platforms like Snowflake for their scalability and performance. However, this also introduces new challenges in data security, particularly for industries dealing with sensitive data such as finance, healthcare, and e-commerce.

Tokenization Vs Hashing: Which is Better for Your Data Security

Data security is a critical concern for organizations worldwide. Cyberattacks and data breaches have put sensitive information such as customer data, payment details, and user credentials at constant risk. Techniques like tokenization vs hashing provide essential tools to safeguard this information effectively. Understanding the distinctions between these methods is crucial for selecting the right approach.

Introducing the Ivanti ITSM & Protecto Partnership: Enabling Secure Data for AI Agents

Discover how Protecto secures data within Ivanti ITSM APIs to prevent data leaks, privacy violations, and compliance risks. In this video, we’ll show how Protecto acts as a data guardrail, ensuring that sensitive information like PII and PHI is identified, masked, and handled securely before it reaches AI agents. Participants: Amar Kanagaraj, Founder & CEO of Protecto Kalyan Vishnubhotla, Director of Strategic Partnerships, Ivanti.

Building vs. Buying: Navigating the Data Privacy Vault Dilemma

In today’s AI-driven world, where data powers everything from personalized recommendations to advanced business analytics, safeguarding sensitive information is more critical than ever. As data breaches and regulatory requirements grow more complex, organizations face mounting pressure to protect personal and confidential information with a data privacy vault that ensures security and compliance.