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Varonis Atlas
Secure the front door. Email is where most attacks arrive — Varonis Atlas is end-to-end AI security — safely use and build with AI without compromising your sensitive data, by securing the data AI can touch (discover, posture, test, guardrails, govern), built on Varonis’s data-security foundation.
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Varonis Atlas is an end-to-end AI Security platform that lets you safely use and build with AI without compromising your most sensitive data — unifying discovery, posture management, testing, runtime guardrails and compliance for AI, from Varonis, the pioneer of data-centric security. Here's the challenge it addresses: organisations are rapidly adopting AI — AI assistants like Microsoft 365 Copilot, custom AI agents and applications built on their own data, and AI woven throughout their tools — and while AI delivers huge value, it creates serious new data-security risks. AI is fundamentally powered by data: it reads, reasons over, and acts on your data — so AI dramatically amplifies your data-exposure risk. If your sensitive data is over-exposed (which, as Varonis knows, it usually is), AI makes that far worse: an AI assistant like Copilot can instantly surface sensitive data a user technically had access to but would never have found on their own; an AI agent with broad access can expose or misuse data at machine speed; and AI can be manipulated (prompt injection) or leak data in unexpected ways. So AI turns your pre-existing data-exposure problem into an acute, fast-moving one — and securing AI is fundamentally a data-security problem: you have to control what data AI can access and do. Varonis Atlas addresses this end-to-end: it discovers your AI (the AI tools, agents and applications in use, including shadow AI you didn't know about); manages your AI security posture (ensuring the data AI can access is properly secured and least-privileged, so AI can't reach data it shouldn't); tests your AI (finding vulnerabilities like prompt-injection risks before attackers do); provides runtime guardrails (monitoring and controlling AI behaviour in real time, stopping misuse and data leakage); and supports compliance for your AI use. Because Atlas is built on Varonis's deep data-security foundation (it already understands your data, access and exposure), it secures AI where it matters — at the data AI touches — making Atlas 'the fastest path to trustworthy and secure AI.' Launched in 2026, Atlas is Varonis's answer to securing the AI era. TechBag scopes, deploys and quotes it in INR/GST for Indian organisations.
The Varonis platform family
This page covers Atlas AI Security — securing AI. The rest of the platform:
Quick facts
30-second orientation- Product
- Varonis Atlas — end-to-end AI security
- Vendor
- Varonis — the data-security pioneer
- The challenge
- AI amplifies your data-exposure risk
- The insight
- Securing AI IS a data-security problem
- Discovers
- Your AI tools, agents & shadow AI
- Manages
- AI security posture (secure the data AI touches)
- Tests
- AI vulnerabilities (prompt injection) before attackers
- Guards
- Runtime guardrails — stop misuse & leakage
- Launched
- 2026 — Varonis's answer to the AI era
- In India via
- TechBag — deployment, quotes, GST invoicing, support
Understand email security before you buy it
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What is Varonis Atlas?
End-to-end AI security — safely use and build with AI without compromising your sensitive data.
Unprotected inbox vs AI email security — the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | Unprotected / signature email | Varonis Atlas (Varonis) |
|---|---|---|
| AI's effect on data risk | Amplifies it (surfaces exposure) | Controlled & secured |
| Copilot & over-exposure | Surfaces sensitive data to all | Only what users should see |
| Shadow AI | Unknown, ungoverned | Discovered & governed |
| AI's data access | Broad, unmanaged | Least-privilege, posture-managed |
| AI vulnerabilities | Undiscovered (prompt injection) | Tested & guarded |
| AI at runtime | Uncontrolled | Runtime guardrails |
| AI adoption | Risky or blocked | Safe & confident |
| The foundation | AI security from scratch | Built on data-security depth |
AI amplifies your data-exposure risk — Copilot can surface sensitive data users never should have found. Atlas secures the data AI touches, end-to-end. Safe AI, not blocked AI. Launched 2026.
The five pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
AI Discovery
Discovers the AI in use across your organisation — AI assistants, agents, applications, and shadow AI you didn't know about — so you can't secure AI you don't know exists.
AI Posture Management
Manages your AI security posture — ensuring the data AI can access is properly secured and least-privileged, so AI can't surface or act on data it shouldn't. Built on Varonis's data understanding.
AI Testing
Tests your AI for vulnerabilities — prompt-injection risks, data-leakage paths, misconfigurations — finding and fixing weaknesses before attackers exploit them.
Runtime Guardrails
Provides runtime guardrails — monitoring and controlling AI behaviour in real time, detecting and stopping misuse, manipulation and data leakage as AI operates.
AI Governance & Compliance
Supports governance and compliance for your AI use — so you can adopt AI safely, demonstrate control, and satisfy the growing expectations and regulations around AI.
One agent on every machine, one console over all of them — modules attach without a second operational world.
Twelve capabilities. Discover, guard, govern.
AI amplifies your data-exposure risk — secure the data AI can touch, end-to-end — part of the portfolio, and paired with the human firewall.
Discover Your AI
Find the AI in use across your organisation — assistants (Copilot), agents, applications — so you have a complete picture of your AI, the foundation for securing it.
Find Shadow AI
Uncover shadow AI — the AI tools and agents adopted without IT's knowledge — because unmanaged, unknown AI is a serious ungoverned risk you can't secure if you can't see it.
AI Security Posture
Manage the security posture of your AI — ensuring the data each AI can access is properly secured and least-privileged, so AI can't reach or surface data it shouldn't.
Control AI's Data Access
Control what data AI can access — because securing AI is fundamentally about controlling the data it touches, the core of Varonis's data-centric approach to AI security.
Test AI for Vulnerabilities
Test your AI for vulnerabilities — prompt-injection risks, data-leakage paths, weaknesses — finding and fixing them before attackers can exploit them. Proactive AI security.
Prompt-Injection Defence
Defend against prompt injection — the attack where AI is manipulated via crafted inputs to misbehave or leak data — a key new AI-specific threat that Atlas tests for and guards against.
Runtime Guardrails
Monitor and control AI behaviour in real time as it operates — detecting and stopping misuse, manipulation and data leakage at runtime, not just at design time.
Stop AI Data Leakage
Detect and stop AI from leaking sensitive data — whether through over-broad access, manipulation, or unexpected behaviour — protecting your data as AI reads and acts on it.
Secure AI Assistants (Copilot)
Secure AI assistants like Microsoft 365 Copilot — ensuring they can't surface sensitive data users shouldn't reach, one of the most immediate and acute AI data-exposure risks.
Secure AI Agents
Secure autonomous AI agents — controlling and governing the data they can access and act on, so agents (which act at machine speed) can't expose or misuse sensitive data.
AI Governance & Compliance
Govern your AI use and demonstrate control — so you can adopt AI safely and satisfy the growing expectations and regulations around responsible, secure AI.
Built on Data-Security Foundation
Built on Varonis's deep data-security platform — because it already understands your data, access and exposure, Atlas secures AI at the data it touches: the fastest path to trustworthy AI.
Watch Varonis Atlas in action
The overview, getting started, and protecting M365 email.
Varonis Atlas: AI Security Platform Demo
Atlas, demonstrated.
Varonis for Microsoft 365 Copilot
Securing Copilot's data access.
Varonis for Salesforce | Secure Sensitive Sales Data
Securing data AI can reach.
Want a live, India-context walkthrough on your own fleet?
Book a guided demo →The endpoint catches what arrives. Email stops it arriving.
Here’s what genuinely sets Varonis Atlas apart.
AI amplifies your data-exposure risk — securing AI is a data problem
The fundamental reason Varonis Atlas exists is that AI is powered by data — it reads, reasons over, and acts on your data — so AI dramatically amplifies your existing data-exposure risk, which means securing AI is fundamentally a data-security problem, exactly Varonis's domain. Let's unpack this crucial insight. AI, at its core, works with data: an AI assistant like Microsoft 365 Copilot reads across your organisation's data to answer questions; an AI agent accesses data to perform tasks; an AI application is built on and reasons over your data. AI's power comes precisely from its ability to access, understand, and act on large amounts of data quickly. But this is exactly what makes AI a data-security risk amplifier. Consider the pre-existing problem Varonis has always addressed: most organisations' sensitive data is over-exposed — too many people (and accounts) can access sensitive data they don't need (access sprawl). This has always been risky. But AI makes it dramatically worse, in several ways. AI surfaces what was buried: an AI assistant like Copilot can instantly find and surface sensitive data that a user technically had access to (due to over-exposure) but would never have found on their own — so over-exposure that was 'latent' (theoretically accessible but practically buried) becomes actively surfaced by AI. Someone who could technically access a sensitive file among millions can now just ask the AI, and it retrieves it. AI acts at machine speed and scale: an AI agent with broad data access can access, expose or misuse enormous amounts of data far faster than a human. AI can be manipulated: attacks like prompt injection can trick AI into accessing or leaking data it shouldn't, or behaving maliciously. AI can leak unexpectedly: AI can surface or expose data in unexpected ways through its outputs. So AI takes your pre-existing (and usually significant) data-exposure problem and makes it acute, fast-moving, and actively exploited — turning latent risk into active exposure. And here's the key realisation: because AI's risks are fundamentally about the data AI can access and do, securing AI is fundamentally a data-security problem. To secure AI, you have to control and secure the data AI can touch — which is exactly Varonis's domain and strength. This is why Varonis, the data-security pioneer, is uniquely positioned to secure AI: it already understands and secures your data, access and exposure — the very things that determine AI's risk. Atlas applies that foundation to the AI era. For any organisation adopting AI (which is nearly all), understanding that AI security is data security — and securing the data AI touches — is essential, and Atlas delivers it. TechBag helps organisations secure their AI adoption with Varonis Atlas.
The Copilot problem: AI surfaces the sensitive data you over-exposed
A concrete, acute example of AI's data-security risk — and one Atlas directly addresses — is the 'Copilot problem': AI assistants like Microsoft 365 Copilot can instantly surface sensitive data that users technically had access to but would never have found on their own, turning your latent over-exposure into active, immediate exposure. This is one of the most immediate AI data-security risks organisations face, so it's worth understanding concretely. Here's the situation. In most organisations, as Varonis has long shown, sensitive data is badly over-exposed — through access sprawl, over-sharing, and broad permissions, far more people can technically access sensitive data than should. Historically, much of this over-exposure was 'latent': yes, a given employee might technically have access to a sensitive file (among the millions of files they could theoretically reach), but in practice they'd never find it — it was buried in the vastness, so the over-exposure, while a real risk, wasn't actively exploited day-to-day. Now introduce an AI assistant like Microsoft 365 Copilot, which reads across all the data a user can access to answer their questions. Suddenly, that latent over-exposure becomes active: the user can simply ask Copilot a question, and Copilot will search across everything they technically have access to — including all that over-exposed sensitive data — and surface it instantly. Data that was buried and effectively unfindable is now retrievable by just asking. So an employee who was never supposed to see (but technically could access) sensitive salary data, confidential documents, or other people's private files can now have Copilot find and surface it in seconds. This transforms over-exposure from a latent risk into an active, immediate one — and it happens the moment you deploy Copilot, at scale, across everyone. This is why organisations deploying Copilot (and similar AI assistants) urgently need to fix their data exposure first — ensuring users can only access (and thus have AI surface) data they genuinely should. And this is exactly what Varonis is built for and Atlas addresses: because Varonis understands and can right-size your data access (least privilege), it ensures that what AI assistants can surface for each user is limited to what they should actually have — closing the exposure before Copilot can exploit it. Atlas makes deploying Copilot and other AI assistants safe by securing the data they can reach. For the many organisations adopting Copilot, addressing this before (or as) they deploy is critical, and Varonis is the tool for it. TechBag helps organisations safely deploy Copilot and AI assistants with Varonis Atlas. The honest scope follows.
End-to-end AI security — discover, posture, test, guardrails, govern
A key strength of Varonis Atlas is that it secures AI end-to-end — across the full lifecycle from discovering your AI to governing it — rather than addressing just one narrow piece, providing comprehensive AI security in one unified platform. Securing AI properly requires addressing multiple dimensions, and Atlas covers them all. First, discovery: you can't secure AI you don't know about, so Atlas discovers the AI in use across your organisation — assistants, agents, applications, and crucially shadow AI (AI adopted without IT's knowledge, a growing ungoverned risk). This gives you the complete picture of your AI. Second, posture management: the foundation of AI security is ensuring the data AI can access is properly secured and least-privileged — so AI can't reach or surface data it shouldn't. Atlas manages this AI security posture, built on Varonis's deep understanding of your data and access. This is the core data-centric control. Third, testing: proactively, Atlas tests your AI for vulnerabilities — prompt-injection risks, data-leakage paths, weaknesses — finding and fixing them before attackers exploit them, so you're not waiting to be attacked to discover your AI's flaws. Fourth, runtime guardrails: at runtime, Atlas monitors and controls AI behaviour in real time — detecting and stopping misuse, manipulation, and data leakage as AI actually operates, catching problems that only manifest in live use. Fifth, governance and compliance: Atlas supports governing your AI use and demonstrating control, so you can adopt AI responsibly and satisfy the growing expectations and regulations around AI. Together, these span the full AI-security lifecycle: know your AI (discovery), secure the data it touches (posture), find its weaknesses (testing), control it in operation (runtime guardrails), and govern it (compliance). This end-to-end coverage matters because AI security has many facets, and addressing only one (say, just runtime, or just posture) leaves gaps — comprehensive AI security requires covering the whole lifecycle, which Atlas does in one unified platform. And because it's all built on Varonis's data-security foundation, the pieces work coherently around the central truth that AI security is data security. For organisations wanting to secure their AI adoption comprehensively — not just patch one aspect — Atlas's end-to-end approach is compelling. TechBag helps organisations secure AI end-to-end with Varonis Atlas. The honest scope follows.
Varonis's data foundation makes it uniquely suited to secure AI
A profound advantage of Varonis Atlas is that it's built on Varonis's deep, established data-security foundation — and because securing AI is fundamentally about securing the data AI touches, Varonis's existing understanding of your data, access and exposure makes it uniquely well-positioned to secure AI, faster and better than tools starting from scratch. Here's the logic. As established, AI's data-security risks are all about the data AI can access and act on — so securing AI requires understanding and controlling your data: what sensitive data exists, who (and what AI) can access it, where it's over-exposed, and how it's being used. These are exactly the things Varonis has spent nearly two decades understanding and controlling. Varonis already: accurately discovers and classifies your sensitive data (so it knows what AI could expose); analyses who and what can access it, cutting through permissions complexity (so it knows what AI can reach); identifies and reduces over-exposure and enforces least privilege (so it can control what AI can access); and monitors data activity (so it can watch what AI does with data). In other words, Varonis already has the deep data-security foundation that AI security fundamentally requires. This makes Atlas uniquely positioned. Rather than a new AI-security tool trying to understand your data from scratch (a huge undertaking, and the hard part), Atlas builds AI security on top of Varonis's existing, mature, accurate understanding of your data and access — so it can immediately secure AI at the data it touches. This is why Varonis calls Atlas 'the fastest path to trustworthy and secure AI': because the foundation (understanding and securing your data) is already there, applying it to AI is fast and effective, versus a from-scratch tool that must first solve the hard data-understanding problem. And it means Atlas secures AI at the right layer — the data — because that's where AI's risk lives and where Varonis is strong, rather than at superficial layers that miss the core data risk. So Varonis's data-centric heritage isn't incidental to its AI security — it's the very foundation that makes Atlas effective, because AI security is data security, and Varonis is the data-security expert. For organisations that recognise their AI risk is fundamentally a data risk, securing AI with the data-security leader is the logical, effective choice. TechBag helps organisations secure AI on a proven data foundation with Varonis Atlas. The honest scope follows.
Adopt AI confidently — Atlas is the path to safe AI, not blocked AI
The ultimate value of Varonis Atlas is that it lets organisations adopt AI confidently and safely — getting AI's enormous benefits without compromising their sensitive data — rather than having to either avoid AI (missing its value) or adopt it recklessly (risking their data). This 'safe enablement' framing is important. Organisations face real pressure and opportunity around AI: AI (assistants like Copilot, custom agents and applications) delivers huge productivity and business value, and there's strong pressure to adopt it. But, as covered, AI creates serious data-security risks (amplifying exposure, surfacing over-exposed data, machine-speed misuse, manipulation). This creates a dilemma: adopt AI and risk your data, or hold back on AI and miss its value. Neither is good — recklessly adopting AI could cause a serious data breach (a compelling reason security or leadership might block AI), but avoiding AI means falling behind on a transformative technology. Atlas resolves this dilemma by making AI adoption safe: it secures the data AI touches (posture/least-privilege), discovers and governs your AI (including shadow AI), tests for and guards against AI vulnerabilities and misuse (testing, runtime guardrails), and supports compliance — so you can adopt AI while controlling its risks. This transforms the conversation from 'should we risk adopting AI?' to 'let's adopt AI safely, with the controls in place.' It's the path to safe AI, not blocked AI. This enablement value is significant: security's role shouldn't be to block valuable technology, but to enable it safely — and Atlas lets security teams say 'yes' to AI adoption confidently, because the data risks are controlled. So organisations get AI's benefits (productivity, capability, competitiveness) without the data-security downside — the best of both. And they can move faster on AI, because they have the security in place to do so confidently, rather than being held back by (justified) data-security fears. As AI becomes central to how organisations work, the ability to adopt it safely — rather than being forced to choose between AI's value and data security — is enormously valuable. Atlas provides exactly that: safe, confident AI adoption. For organisations wanting to embrace AI without compromising their data, Atlas is the enabler. TechBag helps organisations adopt AI safely and confidently with Varonis Atlas. The honest scope follows.
The honest scope
Varonis Atlas is an end-to-end AI security platform — discovering your AI (including shadow AI), managing AI security posture (securing the data AI can touch), testing AI for vulnerabilities (like prompt injection), providing runtime guardrails (controlling AI behaviour and stopping data leakage), and supporting AI governance and compliance — built on Varonis's deep data-security foundation, because securing AI is fundamentally about securing the data AI touches. Launched in 2026, it's Varonis's answer to the AI era, positioned as 'the fastest path to trustworthy and secure AI.' The honest framing: AI security is a new, fast-emerging, and rapidly-evolving space, being approached from several directions — dedicated AI-security startups (focused on AI-specific threats like prompt injection, model security, and AI red-teaming), AI-governance and AI-posture vendors, cloud and data-security platforms extending into AI, and the AI platform providers' own controls. No single approach is yet dominant, and different tools emphasise different facets (some deepest on AI-model/prompt-level threats, others on data exposure, others on governance). Varonis Atlas's distinctive strength is its data-centric foundation: because AI's core risk is about the data it can access, and Varonis uniquely understands and controls your data, access and exposure, Atlas secures AI at that fundamental data layer — the right place, and the hard part others must build from scratch. It's especially compelling for organisations adopting AI assistants (like Copilot) and agents on top of their sensitive data (where the data-exposure amplification is most acute), and for existing Varonis customers extending their data security to AI. For the deepest AI-model-specific threats, specialist AI-security tools may complement it. This is an emerging area; TechBag scopes Varonis Atlas honestly within your broader AI-security picture, and quotes it in INR/GST.
The numbers behind the platform
What your AI-security journey looks like
AI-risk scoping
Your AI adoption (Copilot? agents? apps?), the sensitive data AI can reach, and your data-exposure (which AI would amplify). TechBag scopes it free.
Discover & secure posture
Discover your AI (including shadow AI); secure the data AI can access — right-size exposure so AI can't surface data it shouldn't (crucial before Copilot).
Test & guard
Test your AI for vulnerabilities (prompt injection); enable runtime guardrails to monitor and control AI behaviour and stop data leakage.
Govern & adopt confidently
Govern your AI use and demonstrate control — adopting AI safely and confidently, getting its value without risking your data. TechBag models it in INR/GST.
Trusted across regulated industries in 100+ countries
The review scoreboard
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
Quick poll — what’s driving your evaluation?
Talk to an advisor“We were about to deploy Copilot when we realised it would instantly surface all our over-exposed sensitive data to everyone. Atlas fixed the exposure first — now Copilot only surfaces what each user should actually see. It made Copilot safe.”
“The insight that securing AI IS a data-security problem clicked immediately — AI's risk is all about the data it can touch. Varonis's data foundation made Atlas the obvious, fastest way to secure our AI.”
“Atlas discovered shadow AI we didn't know was running — unmanaged agents accessing sensitive data. You can't secure AI you can't see, and discovery was eye-opening.”
“End-to-end coverage — discovery, posture, testing, runtime guardrails, governance — meant we secured our AI comprehensively, not just patched one aspect. AI security has many facets and Atlas covers them.”
“Building Atlas on Varonis's existing understanding of our data and access meant it secured our AI fast — it already knew our data, so it could immediately control what AI could reach. The fastest path, genuinely.”
“Atlas let us say YES to AI adoption confidently — get the productivity benefits without risking our data. Security enabling AI, not blocking it. That's exactly the role we want to play.”
“Testing for prompt-injection vulnerabilities and runtime guardrails addressed the AI-specific threats we were worried about. It's an emerging space, but building on a proven data foundation gave us confidence.”
“As we roll out AI agents on our own data, controlling and governing what they can access is essential. Atlas secures the data our agents touch. TechBag scoped it as part of our Varonis platform.”
Where everyone sits — the grids
Analyst firms bury this view behind paywalls, and G2 retired its Grid. So here’s TechBag’s synthesis of the email security market — tap any vendor to see why it sits where it does.
TechBag Email-Security Grid
Execution strength vs product vision — the classic market map, minus the paywall.
End-to-end AI security on Varonis's data foundation. This page's product.
Detection × Portfolio Integration
The grid nobody publishes — how strong the email detection is vs how integrated with the wider security portfolio.
Deep on the DATA layer + end-to-end.
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
Varonis Atlas vs the AI-security field
AI-security startups, governance tools, provider controls and no-AI-security — honest lanes; the edge is securing the DATA AI touches (the core risk) on Varonis's data foundation. An emerging space.
| Dimension | Varonis Atlas | AI-security startups | AI-governance tools | AI provider controls | No AI security |
|---|---|---|---|---|---|
| Position | End-to-end AI security on data foundation | AI-specific threats (prompt injection) | Governance-focused | Their own platform | The gap |
| Secures the DATA AI can access (the core risk) | Yes — Varonis's strength | Often model-focused, not data | Policy, not data control | Within their platform | No |
| End-to-end (discover→test→guard→govern) | Full lifecycle | Some facets | Governance facet | Their platform only | None |
| Data-security foundation (fastest path) | Built on Varonis's data depth | From scratch | No data depth | Their data only | None |
| Best fit | Adopting AI on sensitive data (Copilot, agents); Varonis users | Deepest AI-model/prompt threats | AI policy & governance | Within one AI platform | Nobody — AI risk is real |
Which email-security approach fits you?
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Choose Varonis Atlas if…
- ✓You're adopting AI (Copilot, agents, apps) on your sensitive data
- ✓You recognise securing AI IS securing the data AI can touch
- ✓You want end-to-end AI security (discover, posture, test, guard, govern)
- ✓You want to adopt AI confidently — safe AI, not blocked AI
AI-security startups if…
- ✓Your priority is the deepest AI-model/prompt-level threats (can complement Atlas)
AI-governance tools if…
- ✓You want AI policy and governance (but not data-level control)
AI provider controls if…
- ✓You rely on one AI platform's own controls (limited scope)
No AI security if…
- ✓Never — AI amplifies data-exposure risk; adopting AI unsecured is dangerous
What do email threats cost you?
Drag the sliders (count users; IT-hour cost as loaded incident rate). Estimates assume ~1.5 hours per user per year handling email threats that reach the inbox without AI filtering, with ~70% removed by stopping the mass at the gateway — the avoided-breach value (most attacks start here) is the larger, unpriced win. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models actual device counts and modules.
Three ways to consume it
Varonis Atlas is part of the Varonis platform, subscription-licensed and scoped to your AI-security needs — often adopted with the broader platform (which secures the data AI touches). A 2026-launched, emerging area. TechBag scopes it and quotes in INR/GST.
Varonis Atlas
Best for securing AI
- Discover AI (incl. shadow); secure the data AI touches
- Test vulnerabilities (prompt injection); runtime guardrails
- Adopt AI safely — the Copilot problem, solved
+ Platform add-ons
Best for a broader rollout
- Scoped to your estate
- Add-on modules as needed
- Phased, right-sized deployment
+ Data platform
Best complete
- Atlas on Varonis's data-security foundation
- With DSPM, DDR, DLP, access governance
- TechBag scopes the whole
Buy it for less — TechBag pricing beats list
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
Get an India-ready quote
Tell us your device counts and current tools — we’ll model it against what you spend today.
The 8 questions to ask every vendor
Take this into your next vendor call — including ours.
Identify your AI use — assistants (Copilot), agents, applications — and planned adoption.
Assess your data over-exposure (which AI amplifies) — especially before deploying Copilot.
Discover all your AI, including shadow AI you didn't know about.
Secure the data AI can access — least-privilege, so AI can't surface data it shouldn't.
Test your AI for vulnerabilities (prompt injection, leakage) before attackers do.
Enable real-time monitoring and control of AI behaviour; stop misuse and leakage.
Govern your AI use and demonstrate control for compliance.
Adopt AI safely and confidently — TechBag scopes Atlas and quotes in INR/GST.
Questions buyers ask
Ready to adopt AI safely?
Scope Varonis Atlas (discover your AI, secure the data AI can touch, test for vulnerabilities, runtime guardrails, govern — adopt AI without risking your data), safely deploy Copilot, or let a TechBag advisor plan your AI security.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.