The conversation Seclore CEO Vishal Gauri keeps having with CISOs: strict new privacy laws like DPDP in India and PDPL in the Middle East.
The hard part isn't reading the law, it's tying each clause to the data it governs. Listen to Vishal's take.
When a CISO sees ARMOR work end-to-end, the question shifts from "what can it find" to "what can we finally turn on."
Seclore CEO Vishal Gauri on the AI programs CISOs stop holding back, with proof to show their boards. Listen to his story.
A regulated insurer rolled out Microsoft Copilot in claims, but first had to know what it could see.
Seclore CEO Vishal Gauri on ARMOR's four pillars end-to-end: discover, contextualize, enforce, prove. Here's his take on the 4 pillars.
A CISO bought four DSPM products. Four dashboards, full visibility. They still couldn't protect the data.
Seclore CEO Vishal Gauri on the moment it clicked: visibility is not control.
Shadow AI is a data loss prevention gap your tools can't see. Enterprise data going into AI tools rose 93% last year.
The fix is a DLP for AI: mask sensitive data before it reaches the model.
Why masking beats blocking:
bit.ly/4dWtERB
ALT Infographic titled "Safe AI Adoption: Securing the Context Window" by Seclore. It features a three-step process with arrows connecting each step. Step 1: Sensitive Data Input, with icons for "Financial Records" and "Customer PII." Step 2: ARMOR Intelligent Masking, showcasing data protected by structure-preserving filters. Step 3: Secure Model Reasoning, emphasizing retrieved real values. Bottom left shows "68% of Employees Bypass AI Policies." Bottom right highlights "1 in 12 Prompts Contains Confidential Info.
Regex flagged everything. Classifiers took months to pay off. Then came LLMs.
Seclore CEO Vishal Gauri on the three generations of DSPM, and why the LLM-native DSPM generation reads what data actually means.
Download Seclore's RFP evaluation checklist for data-centric security and score any vendor on what actually protects your data.
Read the checklist 🔗 bit.ly/4owtqpg
Protect the network and a breach can reach almost everything. Protect the data itself and the blast radius drops.
Seclore CEO Vishal Gauri on what changes for a CEO when security moves from the perimeter to the data 👇
A CISO at a major bank pulled up one dashboard. Over 40,000 files staff had fed to AI in a month, and no one knew what was inside any of them. Seclore CEO Vishal Guari on the moment it clicked.
A string that looks like a credit card could be a test value, an ID, or a real card in a signed contract. Same digits, different decisions. Classification you can act on reads three signals at once: content, context, intent. That is the Semantic Triad.
seclore.com/armor/dspm/
ALT The image is an infographic titled "The Semantic Triad: Classify by meaning, not pattern" by Seclore. It illustrates how ARMOR DSPM reads data before making decisions. The infographic is divided into three sections: Content (what the data says), Context (what surrounds it in the document), and Intent (why it exists). Below, an example is provided: a "16-digit string" is shown with the semantic triad reading, "A customer contract under GDPR, kept seven years by policy," leading to a classification that can be acted on. At the bottom, a statement reads, "Before a tool can protect data, it has to understand it.
Three generations of DSPM each solved something real. Pattern matching, then trainable classifiers, then LLMs that understood meaning. But all three stop at finding.
The better question isn't whether it finds your sensitive data. It's what it does next. bit.ly/3RGh5Tk
ALT A graphic titled "Three Generations of DSPM" outlines the evolution from Gen 1 to Gen 3+. Gen 1 (pre-2020) focuses on pattern matching, Gen 2 (2020 to 2022) on trainable classifiers, and Gen 3 (2022 onwards) on LLM-based discovery. Gen 3+ is labeled "Intelligent DSPM" by Seclore, featuring advanced capabilities like self-hosted deployment and active remediation. A tagline at the bottom reads: "The question is no longer whether it finds your sensitive data. It’s what happens after it does." Seclore logo is in the lower right corner.
Two kinds of data protection exist in most enterprises.
One stops the moment data leaves your perimeter. The other travels with the data: still active when a partner opens it, when AI processes it, when it's shared again.
How are you securing data beyond the perimeter?
ALT The image is an infographic comparing two kinds of data protection from an entity named Seclore. On the left, "STATIC" protection applies inside a perimeter; protection stops when data moves out. On the right, "TRAVELS WITH THE DATA" shows protection applied directly to the data as it moves between partners, during AI workflows, and when shared again. A caption emphasizes the transition to the AI era and includes the Seclore logo.
Employees already use AI with your sensitive data. Blocking it isn't the answer. ARMOR AI-DLP masks sensitive values with reversible tokenization before they reach the model.
Learn how it works on your most sensitive data. seclore.com/blog/dlp-for-ai/#AIsecurity
DSPM discovery can surface exposed files.
The question is what happens next. Classification, rights protection, ARMOR AI-DLP dynamic masking, and proof.
ARMOR DSPM by Seclore closes that loop.
bit.ly/4uBq86x
ALT The image features a text-heavy design with a prominent number "10,000" in large black font, followed by "exposed files found last quarter" in red and black text. Another line reads, "How many are still exposed right now?" The background has a light grid pattern, and the lower section displays a sequence of words: "DISCOVER ➔ CONTEXTUALIZE ➔ ENFORCE ➔ PROVE." The brand name "Seclore" appears in the bottom right corner.
Shadow AI isn't a behavior to stop. It's a data flow to protect.
Your employees are already pasting sensitive data into ChatGPT, Claude, and Gemini.
See how ARMOR AI-DLP protects it: bit.ly/430Ir91
The board does not need another file count.
ARMOR DSPM by Seclore uses Data Context, Enterprise Context, and Regulatory Context to produce a risk-prioritized report mapped to liability, risk level, and operational impact.
Learn how: seclore.com/armor/dspm/
ALT The image is a digital advertisement for Seclore's Armor DSPM. It highlights four key aspects of data security intelligence: 1. Data Context - What the data is, 2. Enterprise Context - Why it matters to the business, 3. Regulatory Context - Which obligations apply, 4. Enforcement + Proof - What happens after discovery. The background is light with a geometric pattern. Seclore's logo is at the bottom right.
34 countries now mandate where your data can be processed.
If your DSPM's AI runs in a third-party cloud, your sensitive data leaves your perimeter every scan.
Sovereign-first DSPM: seclore.com/armor/dspm/
ALT Image showing a hiring announcement from Seclore, emphasizing "We Are Hiring" in bold text. It lists four positions: Senior Product Manager, Senior Site Reliability Engineer, Site Reliability Engineer, and Application Support Engineer. All roles are based in Mumbai, India. The background features a cityscape of Mumbai. A note below mentions that job details and application links can be found in the bio.
India's digital future is moving faster than enterprise data governance.
Our CPTO Nilesh Bhojani on the gap, in CXO Today's National Technology Day feature.
Read the full article: bit.ly/4tALorN#AIGovernance#DataSecurity
ALT The image features a quote: "India's digital future is moving faster than enterprise data governance." Below the quote, Nilesh Bhojani is identified as Chief Product and Test Engineering Officer at Seclore. The image includes the Seclore logo and mentions "FEATURE - MC CIO B2B - NATIONAL TECHNOLOGY DAY 2022" against a background with abstract curved lines.
Pattern matching. Trainable classifiers. Public LLMs.
Three generations of DSPM. Three blind spots in an AI-everywhere world.
ARMOR DSPM is the fourth: AI-native, sovereign, continuous.
Discover it: seclore.com/armor/dspm/