Securiti Gencore AI & AI Security
Gencore AI is Securiti’s flagship — build safe enterprise AI (copilots, agents, apps) from your data, sanitised before the model, guarded by a Context-aware LLM Firewall, and governed on the DataAI Command Graph. Now part of Veeam.
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How it’s rated
Full scoreboard ↓Quick answer
The Securiti platform family
This page covers Gencore AI & AI Security — the flagship. The rest of the Securiti platform:
Quick facts
30-second orientation- Product
- Gencore AI — build safe enterprise AI + AI security
- Vendor
- Securiti (a Veeam company — acquired Dec 2025)
- The category
- AI security & governance (DSPM for AI)
- What it does
- Build safe AI from your data; secure & govern AI
- Guardrail
- Context-aware LLM Firewalls (OWASP LLM Top 10)
- The foundation
- DataAI Command Graph — data + AI, one graph
- Newest
- Agent Commander (Mar 2026) — govern AI agents
- Compliance
- EU AI Act · NIST AI RMF · India DPDP
- Vs
- Protecto, Palo Alto (Prisma AIRS), Wiz (AI-SPM)
- In India via
- TechBag — scoping, licensing, GST, DPDP framing
Understand AI security before you buy it
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What is Gencore AI?
Securiti’s flagship — build safe enterprise AI (copilots, agents, apps) from your data: connect, sanitise before the model, build fast, and guard with a Context-aware LLM Firewall — all on the DataAI Command Graph.
Risky DIY AI vs safe, governed AI (Securiti) — the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | DIY AI | Gencore AI & AI Security |
|---|---|---|
| Build safe AI | Risky custom build (leak risk) | Gencore — sanitise then build fast |
| AI guardrails | None / generic DLP | Context-aware LLM Firewall (OWASP) |
| AI visibility | Shadow AI unknown | AI & model discovery |
| Data + AI | Separate tools, gaps | One DataAI Command Graph |
| Agents | Ungoverned | Agent Commander (govern agents) |
| Compliance | Manual, ad hoc | EU AI Act + NIST AI RMF mapping |
| Vendor backing | (startup risk) | Now part of Veeam |
| Best fit | (varies) | Build + govern enterprise AI safely |
Securiti Gencore AI builds safe enterprise AI from your data — connect, sanitise before the model, build fast, guard with a context-aware LLM Firewall (OWASP LLM Top 10) — governing data AND AI on one graph (Agent Commander for agents). Now part of Veeam. Honest: fast-moving field — deepest AI runtime alone? Palo Alto/Protecto. Cloud AI posture? Wiz. TechBag scopes modules, adds GST & the India DPDP framing.
The five pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Connect Your Data
Connect proprietary data across clouds, SaaS, on-prem, files and databases through a rich connector library, so enterprise AI is grounded in your data.
Curate & Sanitise
Before data reaches the model, curate and sanitise it, stripping, masking or entitling sensitive data based on the DataAI Command Graph.
Build the AI System
Vectorise and ingest the sanitised data and build copilots, agents and knowledge apps ‘in minutes’ on your governed data.
Guard at Runtime
Context-aware LLM Firewalls are inline guardrails, aligned to the OWASP LLM Top 10, that block prompt injection, jailbreaks and sensitive-data leaks using the data context.
Govern on One Graph
Data, AI systems and controls are governed by one DataAI Command Graph, so you secure the AI and the data feeding it together, mapped to the EU AI Act and NIST AI RMF.
Map where sensitive data resides and who handles it, and govern risk at the data itself rather than at the boundary.
Twelve capabilities. Build, secure, govern.
Securiti lets you build safe enterprise AI from your data — sanitise, build, guard & govern — the AI-security flagship of the Securiti portfolio.
Rich Data Connector Library
Connect proprietary data across clouds, SaaS, on-prem, files and databases, so enterprise AI is grounded in your own data.
Curation & Sanitisation
Curate and sanitise data before it reaches the model, stripping, masking or entitling sensitive data per the graph.
Vectorisation & Ingestion
Vectorise and ingest sanitised data into a knowledge base for retrieval, the governed RAG foundation for your AI systems.
Build Copilots, Agents & Apps
Build copilots, agents and knowledge apps ‘in minutes’ on your governed data, instead of a long, risky custom build.
Context-Aware LLM Firewalls
Inline guardrails aligned to the OWASP LLM Top 10 block prompt injection, jailbreaks and data leaks, using the data context.
AI & Model Discovery
Discover and classify the AI and models in use across your organisation, sanctioned and shadow, so you know what you have.
AI Risk Assessment
Assess AI systems and models for data exposure, safety, security and bias, before and after deployment.
Agent Commander (Govern AI Agents)
Agent Commander (March 2026) extends governance to autonomous AI agents, so they stay governed as they proliferate.
DataAI Command Graph
One knowledge graph maps sensitive data and its controls and powers AI governance, so data and AI are governed together.
EU AI Act & NIST AI RMF Mapping
Map AI systems to the EU AI Act, NIST AI RMF and more with built-in intelligence, so AI governance is compliance-ready.
AI Security Policies
Pre-built AI security policies enforce consistent guardrails across all your AI systems, with no per-project reinvention.
Data + AI Governed as One
DSPM-for-AI fused with build-safe-AI on one graph, so you govern the AI and the data feeding it together.
Watch Securiti in action
The overview, getting started, and the core workflows.
Securiti Launches Gencore AI — Build Safe Enterprise AI
Gencore AI — build safe AI in minutes.
AI-Powered Data Intelligence for Privacy & Security
The Data + AI Command Center.
Top 6 DSPM Use Cases to Protect Data in the AI Era
Data security posture, for AI.
Want a live, India-context walkthrough for your environment?
Book a guided demo →Perimeters leak. Govern the data itself.
Here’s what genuinely sets Securiti apart (and where a point tool leads).
Build safe enterprise AI — grounded in your data, sanitised before the model
Data leakage is the number-one blocker to enterprise GenAI. Gencore AI connects your data, then curates and sanitises it using the DataAI Command Graph, stripping, masking or entitling sensitive data before it reaches the model, so copilots, agents and knowledge apps are grounded in your data without exposing it.
Context-aware LLM Firewalls — guardrails for AI in production
AI in production faces prompt injection and jailbreaks, and models can leak data in responses that firewalls and DLP don’t understand. Securiti’s Context-aware LLM Firewall inspects prompts and responses inline, aligned to the OWASP Top 10 for LLMs, and uses the graph to enforce that each user sees only entitled data.
Data + AI governed on ONE graph — the breadth few rivals match
AI risk is a data problem: what data does the AI see, and who is entitled to it? Securiti governs data and AI on one DataAI Command Graph, so the AI firewall, curation, discovery and governance draw on the same intelligence, effectively DSPM-for-AI fused with build-safe-AI, rather than a point tool bolted on.
Now part of Veeam — backed for the long run, still shipping fast
Veeam acquired Securiti in a deal closed in December 2025 (~$1.725 billion) to build a trusted data platform for safe AI. Founder Rehan Jalil became Veeam’s President of Security & AI, and the product keeps shipping under its own brand, with Agent Commander launched in March 2026. Confirm the current roadmap.
India-relevant — DPDP-ready, real Bangalore R&D, and TechBag adds the local layer
Securiti automates DPDP obligations (consent, data-principal rights, breach notification to the Data Protection Board, data mapping), and DPDP is not blanket localisation. Gencore AI suits the GenAI wave at Indian banks and IT-services firms. It has real Bangalore R&D, is quote-priced in USD, and TechBag adds INR/GST.
The honest scope
Gencore AI builds safe AI on sanitised data, guarded by LLM Firewalls and governed against the EU AI Act and NIST AI RMF, with Agent Commander for agents. The space is new and crowded: Palo Alto Prisma AIRS and Protecto go deep on runtime, Wiz on cloud AI posture. Features move fast; pricing is quote-only.
The numbers behind the platform
What your Securiti journey looks like
Scoping (& modules)
Choose modules (Gencore AI, AI Security, DSPM, Privacy) for your GenAI goals. TechBag frames DPDP and the EU AI Act / NIST AI RMF.
Discover & connect
Discover your AI and sensitive data on the DataAI Command Graph, connect data sources, and set sanitisation policies.
Build & guard
Build copilots, agents and knowledge apps on sanitised data, and turn on the Context-aware LLM Firewall guardrails.
Govern & expand
Govern AI against the EU AI Act / NIST AI RMF, govern agents with Agent Commander, and expand. TechBag supports locally (GST).
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“Gencore AI let us build a safe internal copilot on our own data in weeks; sanitising before the model is what let security sign off.”
“The LLM Firewall made us comfortable going to production: it blocks prompt injection and stops sensitive data leaking in responses.”
“AI risk is a data problem, and having the AI firewall draw on the same data intelligence as our DSPM beats a bolted-on point tool.”
“Agent Commander arriving after the Veeam acquisition showed the product still moves fast, and governing agents is where we’re headed.”
“It’s broad, with a learning curve, and we looked at Palo Alto and Protecto for runtime security, but data and AI together won.”
“One platform covered DPDP, our GDPR obligations and the AI governance our GenAI rollout needs. TechBag framed it and handled GST.”
“Securiti’s Bangalore R&D and Veeam backing gave us confidence on longevity. TechBag scoped the modules and supports us locally.”
“Securiti prices by quote in USD. TechBag scoped just Gencore AI and DSPM, and added INR/GST and the DPDP framing.”
Where everyone sits — the grids
Analyst firms bury this view behind paywalls, and review-site grids score satisfaction, not fit for your estate. So here’s TechBag’s synthesis of the AI-security & governance market — tap any vendor to see why it sits where it does.
TechBag AI Data Security Grid
Execution strength vs product vision — the classic market map, minus the paywall.
Build safe AI + govern data & AI (one graph). This page.
AI-Security Depth × One-Graph Breadth
The grid nobody publishes — AI-security depth vs breadth (data + AI on one graph).
Breadth-on-one-graph (data + AI).
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.
Securiti vs the AI-security field
Palo Alto (Prisma AIRS), Protecto, Wiz (AI-SPM), BigID and OneTrust — honest lanes; the edge is build-safe-AI + governing DATA and AI together on one graph (a consolidation play). Deepest AI runtime alone? Palo Alto/Protecto. Cloud AI posture? Wiz. We say so.
| Dimension | Securiti | Palo Alto (AIRS) | Protecto | Wiz (AI-SPM) | BigID | OneTrust |
|---|---|---|---|---|---|---|
| Position | Build safe AI + govern data & AI (one graph) | AI runtime security (Prisma AIRS) | LLM data protection specialist | AI-SPM from cloud security | Data security + AI (data angle) | Privacy leader (+ AI governance) |
| Build safe AI (Gencore) | Yes — connect, sanitise, build, guard | Runtime protection (not build) | Data protection for AI | Posture, not build | Some | Not build-AI |
| LLM Firewall / runtime guardrails | Context-aware LLM Firewall (OWASP) | AI runtime security (deep) | LLM guardrails (deep) | Some runtime | Some | Governance, not runtime |
| Data + AI on one graph | Yes — the DataAI Command Graph | AI-focused | AI-focused | Cloud + data context | Data intelligence graph | Privacy data map |
| Data security (DSPM) | Strong (highest-rated DSPM) | Not DSPM | Not DSPM | DSPM from cloud | Data security depth | Some |
| Privacy & compliance (DPDP/GDPR) | Deep (PrivacyOps + regulatory intel) | Not privacy | Not privacy | Not privacy | Some privacy | Privacy leader |
| Vendor backing / longevity | Now part of Veeam | Palo Alto Networks | Independent (focused) | Wiz (major) | Established | Established |
| Best fit | Build safe AI + govern data & AI together (one graph) | Deep AI runtime security | Focused LLM data protection | AI-SPM within cloud security | Data-security-led AI | Pure privacy leadership |
Which data security & privacy approach fits you?
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Choose Securiti if…
- You want to BUILD safe enterprise AI (copilots/agents) from your data — sanitised before the model (Gencore AI)
- You want a context-aware LLM Firewall (OWASP-LLM-aligned) guarding AI in production
- You want to govern DATA and AI on ONE graph — a consolidation play, not stitched point tools
- You value the backing — now part of Veeam — and the India DPDP/AI-governance framing (via TechBag)
Palo Alto (Prisma AIRS) if…
- Your single priority is the deepest AI RUNTIME security (and you're a Palo Alto shop)
Protecto / LLM specialists if…
- You want a focused, best-of-breed LLM data-protection point tool
Wiz (AI-SPM) if…
- You want AI security posture WITHIN your cloud-security platform (see the Qualys TotalCloud / Wiz comparison)
OneTrust / BigID if…
- Your priority is pure privacy (OneTrust) or pure data-security depth (BigID) — see the Securiti privacy & DSPM pages
What could this save you?
Drag the sliders (AI projects; hour cost as loaded rate). Estimates contrast risky DIY GenAI (custom build, data-leak risk, no runtime guardrails, ungoverned) vs Securiti (Gencore build-safe-AI, sanitise before the model, LLM Firewall, one graph) — the wins are faster safe deployment and reduced leakage/compliance risk. Illustrative — TechBag scopes your estate.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models your actual environment and modules.
Three ways to consume it
Securiti is priced by QUOTE (annual, modular — scales with data volume, estate size and modules; enterprise license agreements), in USD; no public list. Now a Veeam company. TechBag scopes the modules you actually need (Gencore AI, DSPM, privacy, governance), adds INR/GST, and frames it against DPDP and the AI-governance frameworks — quote current figures for your estate.
Securiti (modular, by quote)
Best for building & governing enterprise AI
- Gencore AI (build safe AI) + AI Security & Governance + LLM Firewall
- One DataAI Command Graph — data AND AI governed together
- Now part of Veeam; Agent Commander (Mar 2026) for AI agents
+ Platform add-ons
Best for a broader rollout
- Scoped to your estate
- Add-on modules as needed
- Phased, right-sized deployment
+ scoping & DPDP framing
Best value with TechBag
- Module scoping + honest Palo Alto/Protecto/Wiz comparison
- Securiti prices by quote in USD; broad platform — scope what you need
- TechBag adds INR/GST, local support & the India DPDP framing
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 requirements 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.
Building GenAI on your own data? Gencore AI sanitises sensitive data before the model — grounded AI without the leak risk.
Going to production? The Context-aware LLM Firewall (OWASP-LLM-aligned) blocks prompt injection, jailbreaks and data leaks.
Know all your AI? AI & model discovery surfaces sanctioned and shadow AI across the org.
Want data and AI governed as one? The DataAI Command Graph powers both — a consolidation play.
Deploying autonomous agents? Agent Commander (Mar 2026) extends governance to AI agents.
Need EU AI Act / NIST AI RMF (and India DPDP)? Securiti maps AI governance to these frameworks.
Weighing Palo Alto AIRS, Protecto or Wiz AI-SPM? TechBag compares honestly — Securiti's edge is breadth-on-one-graph.
Securiti is DPDP-ready with Bangalore R&D, now Veeam-backed — TechBag adds module scoping, INR/GST and the DPDP framing.
Questions buyers ask
Ready to build AI safely?
Scope Securiti Gencore AI (build safe enterprise AI from your data — sanitised before the model — guarded by a context-aware LLM Firewall, governed on the DataAI Command Graph, now Veeam-backed) — and let a TechBag advisor scope the modules, compare vs Palo Alto/Protecto/Wiz honestly, frame it against DPDP and the AI-governance frameworks, and add INR/GST and local support.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.