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Gencore AI & AI Security
Secure the front door. Email is where most attacks arrive — 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
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The Postman 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 | Unprotected / signature email | Gencore AI & AI Security (Postman) |
|---|---|---|
| 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 your proprietary data — across clouds, SaaS, on-prem, files and databases — through a rich connector library, so your enterprise AI is grounded in YOUR data, not just a generic model. Ground the AI in what you actually know. Your data, connected.
Curate & Sanitise
Before data reaches the model, curate and SANITISE it — strip, mask or entitle sensitive data based on the DataAI Command Graph — so the AI only ever sees data it's allowed to. Safe by construction. The model never sees what it shouldn't.
Build the AI System
Vectorise and ingest the sanitised data and build enterprise AI systems — copilots, agents and knowledge apps — 'in minutes', on your governed data. From data to a safe AI app, fast. Build, don't wait.
Guard at Runtime
Protect the running AI with Context-aware LLM Firewalls — inline guardrails (OWASP-LLM-Top-10-aligned) that block prompt injection, jailbreaks and sensitive-data leaks, with awareness of the data context. Guard every prompt and response. Safe in production.
Govern on One Graph
Everything — the data, the AI systems, the controls — is governed by ONE DataAI Command Graph, so you discover, secure and govern both the AI and the data feeding it together, mapped to the EU AI Act and NIST AI RMF. One graph for data AND AI. Governed as one.
One agent on every machine, one console over all of them — modules attach without a second operational world.
Twelve capabilities. Build, secure, govern.
Securiti lets you build safe enterprise AI from your data — sanitise, build, guard & govern — the AI-security flagship of portfolio, and paired with the human firewall.
Rich Data Connector Library
Connect proprietary data across clouds, SaaS, on-prem, files and databases — so enterprise AI is grounded in your own data. Ground the AI in your knowledge. Connected to everything you have.
Curation & Sanitisation
Curate and sanitise data before it reaches the model — strip, mask or entitle sensitive data per the graph — so the AI never sees what it shouldn't. Safe by construction. Clean data in, safe AI out.
Vectorisation & Ingestion
Vectorise and ingest the sanitised data into a knowledge base for retrieval — the RAG foundation for your AI systems — governed end to end. The safe knowledge layer. Retrieval you can trust.
Build Copilots, Agents & Apps
Build enterprise AI systems — copilots, agents and knowledge apps — 'in minutes' on your governed data, instead of a long, risky custom build. From data to safe AI app, fast. Ship AI, safely.
Context-Aware LLM Firewalls
Inline guardrails in the GenAI pipeline (OWASP-LLM-Top-10-aligned) block prompt injection, jailbreaks and sensitive-data leaks — with awareness of the data context. Guard every prompt and response. A firewall for your AI.
AI & Model Discovery
Discover and classify the AI and models in use across your organisation — sanctioned and shadow AI — so you know what AI you actually have. You can't govern AI you can't see. Find all your AI.
AI Risk Assessment
Assess the risk of your AI systems and models — data exposure, safety, security, bias — so you understand and reduce AI risk before and after deployment. Know your AI risk. Deploy with eyes open.
Agent Commander (Govern AI Agents)
Agent Commander (March 2026) extends governance to autonomous AI agents — the newest frontier — so as agents proliferate, they stay governed and safe. Govern the agents, not just the models. Control autonomous AI.
DataAI Command Graph
One knowledge graph maps sensitive data, its relationships and its controls — and powers AI governance off the same foundation — so data AND AI are governed together, not in silos. One graph for data and AI. Context is everything.
EU AI Act & NIST AI RMF Mapping
Map your AI systems to regulatory frameworks — the EU AI Act, NIST AI RMF and more — with built-in intelligence, so AI governance is compliance-ready, not ad hoc. Governance that maps to the law. Audit-ready AI.
AI Security Policies
Pre-built AI security policies and controls — so you enforce consistent guardrails across all your AI systems, not per-project reinvention. Consistent guardrails everywhere. Policy, not guesswork.
Data + AI Governed as One
Because it's DSPM-for-AI fused with build-safe-AI on one graph, you govern the AI AND the data feeding it together — the breadth that few rivals match. Data and AI, one platform. Govern the whole picture.
Watch Securiti in action
The overview, getting started, and protecting M365 email.
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 on your own fleet?
Book a guided demo →The endpoint catches what arrives. Email stops it arriving.
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
The single biggest reason organisations choose Gencore AI is that it lets them build enterprise AI (copilots, agents, knowledge apps) SAFELY from their own proprietary data — with sensitive data curated and sanitised before it ever reaches the model. The problem it solves: every enterprise wants to build GenAI on its own data — but that's exactly where the danger is: connect proprietary data to an LLM naively and you risk leaking sensitive data (PII, secrets, regulated data) into prompts, responses, training or retrieval, and violating privacy law. The fear of data leakage is the number-one blocker to enterprise GenAI. What Gencore AI provides: a safe pipeline — connect your data (rich connectors across clouds/SaaS/on-prem), then CURATE and SANITISE it based on the DataAI Command Graph (strip, mask or entitle sensitive data so the AI only sees what it's allowed to), then vectorise/ingest and build the AI system 'in minutes'. Safety is built into the pipeline, not bolted on — the model is grounded in your data, but never exposed to data it shouldn't see. Why it matters: this removes the number-one blocker to enterprise GenAI — you get AI grounded in your own knowledge (accurate, relevant) WITHOUT the data-leakage risk, and you build fast instead of a long, risky custom effort. For any enterprise racing to deploy GenAI safely (Indian banks and IT-services firms very much included), this is the core value. The value: Gencore AI builds safe enterprise AI from your data — sanitised before the model — so you get grounded, accurate AI without the data-leakage risk. For safe GenAI, this matters. TechBag helps organisations build safe AI with Gencore. TechBag helps you deploy GenAI without leaking data.
Context-aware LLM Firewalls — guardrails for AI in production
A defining strength of Securiti's AI security is the Context-aware LLM Firewall — inline guardrails that protect running AI systems from prompt injection, jailbreaks and sensitive-data leaks, aligned to the OWASP Top 10 for LLMs. The problem it solves: even a well-built AI system is under attack in production — users (and attackers) try prompt injection and jailbreaks to make it misbehave or reveal data, and the model can accidentally leak sensitive information in its responses. Traditional firewalls and DLP don't understand LLM prompts and responses. What Securiti provides: a firewall for your AI — inline, in the GenAI pipeline — that inspects prompts and responses and blocks prompt injection, jailbreak attempts and sensitive-data leakage, aligned to the OWASP Top 10 for LLMs, and — crucially — CONTEXT-AWARE: it knows the data context (from the graph), so it can enforce that a given user/AI only accesses data they're entitled to. Pre-built AI security policies make this consistent across systems. Why it matters: guardrails at runtime are what make AI safe to actually deploy — without them, a copilot or agent is a data-leak and abuse waiting to happen. A context-aware LLM firewall, aligned to recognised LLM threat models, is exactly the protection enterprises need to move GenAI from pilot to production. The value: Securiti's context-aware LLM Firewalls guard running AI — blocking prompt injection, jailbreaks and data leaks, aligned to the OWASP LLM Top 10 — so AI is safe in production. For deploying AI with confidence, this matters. TechBag helps organisations guard their AI. TechBag helps you run AI safely in production.
Data + AI governed on ONE graph — the breadth few rivals match
A distinctive strength of Securiti is that it governs both your DATA and your AI on ONE knowledge graph — the DataAI Command Graph — so AI security isn't a separate silo but runs off the same data intelligence that powers discovery, privacy, DSPM and governance. The problem it solves: AI risk is fundamentally a DATA problem — what data does the AI see, is it sensitive, who's entitled to it? — so governing AI in isolation from your data governance leaves gaps. But most tools do one or the other: a DSPM/data-security tool OR an AI-security point tool, stitched together imperfectly. What Securiti provides: one DataAI Command Graph that maps sensitive data, its relationships and controls across your whole estate — AND powers AI security and governance off the same foundation. So the AI firewall, curation, discovery and governance all draw on the same data intelligence: the AI is governed WITH the data feeding it, not separately. This is essentially DSPM-for-AI fused with build-safe-AI. Why it matters: because AI risk is a data problem, governing data and AI together (one graph, one context) is more complete and less gap-prone than bolting an AI point tool onto separate data tools. Securiti's breadth-on-one-graph is its core differentiator — particularly valuable as a CONSOLIDATION play for enterprises tired of stitching separate privacy, DSPM and AI tools together. The value: Securiti governs data AND AI on one graph — so AI security runs off the same data intelligence as your privacy, DSPM and governance, more completely and with fewer gaps. For unified data + AI governance, this matters. TechBag helps organisations consolidate onto Securiti. TechBag helps you govern data and AI as one.
Now part of Veeam — backed for the long run, still shipping fast
Securiti is now part of Veeam — Veeam (the data-resilience/backup leader) acquired Securiti in a deal that closed in December 2025 (~$1.725 billion), to build what it calls a trusted data platform for safe AI at scale — which means Securiti is backed by a major, established company while still shipping and innovating fast under its own brand. What happened: Veeam announced the acquisition in October 2025 and closed it in December 2025 (~$1.725B). The strategic logic: Veeam protects and manages enterprise data (backup, resilience) at massive scale; Securiti governs and secures data + AI — together, 'the industry's first trusted data platform for accelerating safe AI at scale'. Securiti's founder/CEO Rehan Jalil became Veeam's President of Security & AI, and the Securiti product continues under its own brand — actively developed (e.g. Agent Commander launched March 2026, AFTER the acquisition). Why it matters for a buyer: (1) longevity and backing — Securiti is no longer a standalone startup but part of a major, well-resourced company, reducing vendor risk; (2) continued innovation — the product ships fast and is expanding (agent governance, deeper AI security); (3) a bigger data-platform vision — safe-AI governance tied to enterprise data resilience. (Honest note: post-acquisition integrations evolve — confirm current product/brand treatment and roadmap for your deployment; TechBag tracks it.) The value: Securiti is now part of Veeam — backed by a major data company for the long run, while still shipping fast (Gencore AI, Agent Commander) under its own brand. For a durable, well-backed AI-security choice, this matters. TechBag helps organisations adopt Securiti (a Veeam company). TechBag provides it with local support.
India-relevant — DPDP-ready, real Bangalore R&D, and TechBag adds the local layer
Securiti is highly relevant for Indian enterprises — its AI governance and data-privacy automation map directly to India's DPDP Act, it has real Bangalore R&D, and TechBag adds the local scoping, licensing and INR/GST support that make it work for Indian buyers. The India fit: India's Digital Personal Data Protection (DPDP) Act is now a major compliance driver, and Securiti helps automate DPDP obligations — consent, data-principal rights (India's DSR equivalent), breach notification to the Data Protection Board, and data mapping — alongside global regimes (GDPR, CCPA). (Nuance worth knowing: DPDP does NOT mandate blanket data localisation — it uses a negative-list model for cross-border transfers; TechBag helps you interpret what actually applies.) And for the GenAI wave Indian banks, IT-services firms and enterprises are racing on, Gencore AI's build-safe-AI plus AI governance is directly on point. Real India presence: Securiti has genuine engineering/product R&D in Bangalore — a credibility point for Indian buyers (and now with Veeam's backing). Where TechBag adds value: Securiti is a broad, enterprise, quote-priced platform (in USD) — so TechBag adds local scoping (which modules — Gencore AI, DSPM, privacy, governance), the India compliance framing (especially DPDP + AI governance), INR/GST invoicing, and local support. The value: Securiti is DPDP-ready with real Bangalore R&D — and TechBag adds local module scoping, the DPDP/AI-governance framing, INR/GST and support. TechBag supplies it with local, compliance-aware support. TechBag provides Securiti, made local for India.
The honest scope
Gencore AI (with the broader AI Security & Governance layer) is Securiti's flagship — build safe enterprise AI (copilots, agents, knowledge apps) from your data, with sensitive data sanitised before the model, guarded by Context-aware LLM Firewalls, and governed on the DataAI Command Graph alongside AI discovery, risk and compliance (EU AI Act, NIST AI RMF), plus Agent Commander for AI agents. Securiti is now a Veeam company (acquired ~$1.725B, closed Dec 2025). The honest framing — strengths, and the fast-moving field: Securiti's strengths are breadth-on-one-graph (data AND AI governed together — DSPM-for-AI fused with build-safe-AI), a strong LLM firewall, build-safe-AI speed, and now Veeam's backing. But AI security & governance is a NEW, fast-moving and crowded space, and rivals attack from several angles: Palo Alto Prisma AIRS (AI runtime security) and dedicated LLM-security players (Protecto, Prompt Security, Lasso, Robust Intelligence/Cisco) go deep on AI runtime protection; Wiz (AI-SPM) and BigID bring AI security from the cloud-security and data-security angles; and pure DSPM/privacy leaders (OneTrust in privacy; Varonis/Cyera in data security) are strong in their lanes. So a best-of-breed point tool may out-feature Securiti in any single dimension — Securiti's bet is that governing data AND AI together, on one graph, is more complete (a consolidation play). Honest notes: it's a broad, module-heavy platform with a learning curve; capabilities in this space evolve monthly (Gencore/Agent Commander features move fast — validate current specifics); pricing is quote-only; and the Veeam integration is still evolving (confirm current brand/roadmap). So the honest positioning: for building safe enterprise AI and governing data + AI together on one graph — as a consolidation play, now Veeam-backed — Securiti is a leading, broad choice; for the deepest AI-runtime security alone, weigh Palo Alto/Protecto; for pure cloud-AI posture, Wiz. TechBag scopes Securiti honestly — the right modules, comparing vs the point tools, with the India DPDP/AI-governance framing and GST invoicing.
The numbers behind the platform
What your Securiti journey looks like
Scoping (& modules)
Which modules — Gencore AI (build safe AI), AI Security & Governance, DSPM, Privacy, Governance? — and your GenAI goals. TechBag scopes it and frames it against DPDP + the EU AI Act / NIST AI RMF.
Discover & connect
Discover your AI and sensitive data (build on the DataAI Command Graph), connect your proprietary data sources, and set up curation/sanitisation policies. Know your data and AI first.
Build & guard
Build safe AI systems (copilots, agents, knowledge apps) on sanitised data, and turn on the Context-aware LLM Firewall guardrails. From data to safe AI in production.
Govern & expand
Govern AI with policies mapped to EU AI Act / NIST AI RMF, govern agents (Agent Commander), and expand across data + AI on one platform. TechBag supports you locally (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“Gencore AI let us build a safe internal copilot on our own data in weeks, not months — the sanitisation before the model is what let security sign off. The data-leakage fear was our blocker, and this removed it.”
“The context-aware LLM Firewall is the piece that made us comfortable going to production — it blocks prompt injection and stops sensitive data leaking in responses, aligned to the OWASP LLM Top 10.”
“Governing our data AND our AI on one graph is the whole point — AI risk is a data problem, and having the AI firewall draw on the same data intelligence as our DSPM is far more complete than bolting on a point tool.”
“Agent Commander arriving after the Veeam acquisition told us the product is still moving fast — governing autonomous agents is exactly where we're headed. Good to have a major company behind it now.”
“Honest: it's a broad, module-heavy platform with a learning curve, and for pure AI-runtime security alone we did look at Palo Alto and Protecto. But for data + AI governed together, Securiti won. TechBag gave us that honest comparison.”
“For DPDP and our global GDPR obligations, plus the AI governance our GenAI rollout needs, one platform covered it. TechBag framed it around DPDP and handled GST.”
“That Securiti has real Bangalore R&D — and is now Veeam-backed — gave us confidence on longevity and local relevance. TechBag scoped the modules and added local support.”
“Securiti prices by quote in USD and is broad — TechBag scoped just the modules we needed (Gencore AI + DSPM), added INR/GST and the DPDP framing. A powerful platform, made practical for us.”
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 AI-security & governance 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.
Build safe AI + govern data & AI (one graph). This page.
Detection × Portfolio Integration
The grid nobody publishes — how strong the email detection is vs how integrated with the wider security portfolio.
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 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 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 do email threats cost you?
Drag the sliders (AI projects; sensitive-data sources; 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 actual device counts 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 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.
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.