Aona AI · aona.ai/resources/aona-vs-the-field
Aona against five categories: SSE / network, Microsoft 365 / Purview, cloud DLP, model GRC, and AI-native pure plays. Categories are described as categories, not any single vendor.
One page for the shortlist meeting. Where Aona genuinely wins against SSE, Microsoft Purview, cloud DLP, model GRC, and AI-native pure plays, and where it honestly does not. Built to be printed and passed around.
Start here. If the right-hand column describes you, stop evaluating Aona and save yourself the cycle.
Six columns, eight evaluation dimensions. Several categories win their rows, and we say so. Each column describes the category, not any single vendor.
| Dimension | Aona | SSE / networkZscaler, Netskope, Check Point | M365 / PurviewPurview, Defender, Entra | Cloud DLPNightfall, Cyberhaven | Model GRCCredo, Holistic, OneTrust | AI-native pure playsHarmonic, WitnessAI |
|---|---|---|---|---|---|---|
| Employee AI usage visibilityEdge: Aona and AI-native | ✓5,600+ AI tool catalog, browser plus desktop | ~Domain-level app visibility from network traffic | ~Copilot and M365 AI; third-party tools mostly outside | ~Sees connected SaaS and endpoint data flows | ✕Model inventories, not employee usage | ✓Core capability across the category |
| Prompt and file DLPEdge: Aona | ✓Hard-block plus DOCX and Excel redaction; PDF in development | ~Inline network DLP on known apps; no in-place redaction | ~Strong inside M365; thin on third-party AI tools | ~Strong on files and SaaS; prompt layer varies | ✕Documents policy; does not enforce it | ✓Prompt DLP is table stakes here |
| Real-time employee coachingEdge: Aona | ✓Coaches the employee at the risky prompt | ✕Block pages, not coaching | ~Policy tips inside M365 apps only | ~Mostly after-the-fact notifications | ✕No employee-facing controls | ~Some coach; depth varies by vendor |
| Endpoint plus browser coverageEdge: Aona | ✓Browser plugin plus native desktop app, standard deployment | ~Network first; endpoint needs extra agents | ~Strong in Edge and M365 apps; weaker beyond | ~Cyberhaven on endpoint; Nightfall is API-first | ✕No endpoint or browser presence | ~Mixed: browser-only or network-only per vendor |
| Data residencyEdge: Aona and Microsoft | ✓7-region data residency, published | ~Global POPs; residency varies by product | ✓Broadest regional cloud footprint | ~Often US-hosted; varies by vendor | ~Varies by vendor and deployment | ~Rarely a published multi-region option |
| Self-serve trialEdge: Aona | ✓30 days, self-serve, no credit card | ✕Sales-led evaluation | ~License trials exist; setup is heavy | ~Nightfall self-serve; Cyberhaven sales-led | ✕Demo-led enterprise sales | ✕Demo-led (Harmonic, WitnessAI) |
| Suite breadthEdge: SSE and Microsoft | ✕Single-purpose workforce AI security platform | ✓SWG, CASB, ZTNA, firewall in one vendor | ✓Productivity, identity, endpoint, compliance | ✕Focused DLP tooling | ~Broad GRC workflows, not security controls | ✕Point platforms, like Aona |
| Model governance (models you build)Edge: model GRC | ✕Governs workforce use, not model lifecycle | ~Check Point secures AI apps you build; others no | ~Emerging Purview AI governance features | ✕Out of scope | ✓Inventories, bias audits, EU AI Act conformity | ✕Workforce-focused, like Aona |
Legend: ✓ strong fit · ~ partial or conditional · ✕ not what this category is for.
Aona capability status, stated plainly: AI agent inspection is in limited rollout. Layout-preserving PDF redaction is in active development and not yet generally available; DOCX and Excel redaction is available today.
Columns describe categories, not single vendors; named vendors are examples. Verified against public documentation, July 2026.
The one-line framing for each stack, then the verdict, then the full side-by-side page if you want the detail.
You catch network-level traffic. Aona adds the browser layer your SSE cannot reach.
SSE wins the suite-breadth row honestly: SWG, CASB, ZTNA, and firewall under one vendor and one contract, and it is the right backbone for network enforcement. If domain-level allow-and-block is all you need for AI, your SSE alone may be enough. What it cannot see is the prompt itself, coach the employee in the moment, or redact a file in place before upload. Check Point is the exception on workforce AI, with a module built from the Lakera acquisition, though its desktop agent requires an Enterprise license. Most SSE customers layer Aona on top rather than choosing between them.
Purview governs data inside the M365 estate. AI tools live outside it.
If your AI exposure is mostly Copilot inside Microsoft 365 and you already hold E5 licensing, Purview is the natural starting point, and Microsoft honestly wins on suite breadth and on the sheer reach of its regional cloud footprint. The gap appears the moment employees open ChatGPT, Claude, or Gemini in a browser tab: those prompts never touch the M365 estate. Aona covers the third-party AI layer, coaches employees in real time, and deploys through the Intune and Entra stack you already run, so the two are complementary rather than competitive.
DLP scans for sensitive data. Governance scans for risky AI behaviour.
Cloud DLP vendors are genuinely strong where they focus: Nightfall on API-connected SaaS scanning with a self-serve motion, Cyberhaven on endpoint data lineage that traces where data came from. If your problem is sensitive data moving through sanctioned SaaS, this category serves you well. What it lacks is an AI-specific lens: a catalog of the AI tools employees actually use, prompt-level policy, and coaching that changes behaviour instead of only logging incidents. Aona starts from the AI usage problem and adds DLP to it, rather than the reverse.
GRC documents policy. Aona enforces it at the moment of action.
This category wins its row outright, and Aona is not a substitute for it. If you build or deploy your own models and need model inventories, bias audits, conformity assessments, and EU AI Act documentation, you need a model governance platform, and Credo AI, Holistic AI, and OneTrust are built for exactly that. What they do not do is touch the employee at the moment a risky prompt is typed. Many regulated organisations run both: model GRC to govern the models they build, Aona to enforce workforce policy on the AI tools employees use.
Comparing pure-play AI security platforms. Here is how Aona stacks up.
This is the closest comparison, and the honest one: Harmonic, WitnessAI, and Aona all discover workforce AI use and enforce prompt-level policy, so the choice comes down to layer and motion. WitnessAI inspects at the network with no endpoint agent; Harmonic is browser-first. Aona inspects at the endpoint across the browser and the native desktop app as the standard deployment, with AI agent inspection in limited rollout. Aona adds real-time coaching plus upskilling, publishes 7-region data residency, and is the one you can evaluate on a 30-day self-serve trial instead of a demo cycle.
Want the full library? Browse all side-by-side comparisons.
Book a demo to walk the matrix against your stack, or start a 30-day self-serve trial and check the rows yourself. ACD, a regulated Australian healthcare college, cut shadow AI prompts by 92.9% in three months this way.