Every AI in your enterprise.
Discovered, secured, observed, metered, assessed and governed.
Copilot, Gemini, ChatGPT, Claude — plus the agents your engineers build on them. SAF3AI finds every one, maps what it can reach, and governs them on one graph.
Every surface in. One graph. Every module out.
The product
One console for the whole AI estate
Not a dashboard bolted onto an alert feed. Inventory, reachability, incidents and cost all read from the same graph.
5:47 Loads from YouTube only when you press play.
See the whole platform run
Discovery, the Context Graph, detection and agentic response — walked end to end, in the order your team would actually work it.
The gap
AI got into your company faster than security did
Every existing tool sees one slice. Your CASB sees the browser. Your SIEM sees the logs. Your cloud posture tool sees the IAM. None of them see an agent with a write-scoped tool, reading a sensitive datastore, reachable from an external prompt.
Bought
Assistants sit on everything
Copilot and Gemini inherit every permission a user already holds — including the overshared SharePoint site that has not been reviewed in years. Buying the licence was the easy part.
Built
Agents act, they don't just answer
An agent with tool access is a non-human identity holding credentials and network reach, with no joiner-mover-leaver process behind it. A single prompt injection turns it into an insider.
Borrowed
Shadow AI is the default
Employees reach for whichever tool is fastest, and customer data goes with them. Blocking simply moves the activity to personal devices, where the telemetry disappears entirely.
Coverage
Connect the AI you already run
Twenty native connectors, each reading its surface the way that surface actually exposes data — admin APIs, audit logs, event streams, gateway telemetry. No proxy in front of everything, no agent on every laptop.
AI you bought
Licensed assistants running on your corporate data.
AI you build
Agents, pipelines and the code your engineers ship.
Where AI runs
The clouds, networks and devices AI traffic crosses.
The difference
Connectors are a checklist.
The graph is the product.
Every connector writes into one Context Graph — agents, models, tools, datastores, identities, prompts, findings — and every relationship between them. That graph is what turns six feeds of alerts into one picture of risk.
- Reachability, not severity theatre. A critical finding on an agent nothing can reach outranks nothing. We score what an attacker can actually walk to.
- Toxic combinations. Externally-reachable agent + write-capable tool + sensitive datastore is not three medium findings. It's one critical path, and we surface it as one.
- Explainable severity. Every score is arithmetic you can read, including the mitigation credit — plus the counterfactual: revoke this scope and the score drops to here.
- One module or fifteen. Buy a single module and you see your slice. Add a surface and the graph compounds — the same entities, more edges, better paths.
crm.write → 42 · Medium Illustrative attack path. Real paths are computed from your own graph.
Agentic AI-SOC
Agents run the loop. You set how far they go.
Most AI security tools stop at the alert and hand you a queue. SAF3AI runs the rest of the loop with named agents — and an autonomy policy that decides, per action, whether the platform acts, asks, or holds.
Detection Fabric
Senses
One asynchronous substrate every surface crosses — stream, behavioural and graph tiers, 187 rules mapped to the OWASP LLM Top 10 and MITRE ATLAS. Validated classifiers, not regex.
Triage agent
Opens the case
Signals cluster by entity and attack path into a small number of real incidents. A worm that hops three agents is one case with three stages — not nine unrelated alerts nobody reads.
Investigation agent
Reasons over the evidence
It has already gathered the evidence, timeline and toxic combinations and written a verdict with a confidence score before anyone opens the case. Read-only, and forbidden from asserting what the evidence does not support.
Response agent
Acts, within gates
It runs a predefined workflow for a known threat, or composes a chain of skills for a novel one. Reversible actions record their undo path; irreversible ones always need a human.
The autonomy dial
Nobody sensible turns an agent loose on day one
So this is a dial, not a switch. You raise it one action class at a time, and these gates hold whatever you set.
- Only a confirmed true positive
- Only above your confidence bar
- Only reversible actions — never revoke, rotate or delete
- Criticals always route to a human
- Every decision logged, with its undo path
Platform
Fifteen modules on one graph
Every module is licensed on its own — start with the one problem you have this quarter. They share the Context Graph underneath, so each one you add makes the others sharper.
Shadow AI
Discover every unsanctioned AI tool in use, score it by vendor and data risk, and coach users toward the sanctioned one.
AI-BOM & Inventory
A live bill of materials for every agent, model, tool, dataset and identity — the asset register an AI estate never had.
Context Graph
Every entity and relationship in one graph, so you can see reachability, attack paths and toxic combinations instead of a flat alert list.
AI Gateway
One inline control point for all AI traffic. Enforce guardrails, redact PII and cap spend on every prompt and response.
Guardrails & Policy
Prompt injection, jailbreak, data-exfiltration and PII controls, written once as policy and enforced on every surface.
Data Security
Find sensitive data reaching models, trace its lineage through agents and RAG, and stop the paths that leak it.
Agentic AI-SOC
Triage, investigation and response agents running the loop, inside an autonomy policy that decides what may act without asking.
Detection Fabric
One asynchronous scoring substrate every surface crosses — stream, behavioural, graph and media tiers, correlated into incidents.
Agentic Response
Response as composable agentic skills. Run a known workflow for a known threat, or let the agent compose one for a novel one.
Red Teaming
Attack your own agents on a schedule and in CI. Findings come back as SARIF and gate the build.
Evaluations
Compare models on quality, safety and cost, and regression-test agent behaviour before it reaches production.
Deepfake Detection
Deepfakes across image, audio and video — a forged invoice, a cloned voice, a synthetic face. Provenance is checked first; a calibrated ensemble handles what provenance cannot answer.
Compliance
Continuous control mapping and audit-ready evidence for the EU AI Act, NIST AI RMF, ISO 42001, HIPAA and more.
Observability
OpenTelemetry-native tracing for every agent, tool call and model round-trip, with the latency and token detail underneath.
FinOps
Token-level cost attribution by model, agent, team and user — with budgets and alerts that fire before the invoice does.
Integrations
Fits the stack you already run
Pull signal from the tools you own, and push findings back into the queue your team already works out of. No rip and replace.
SIEM & data platforms
Secure web gateways
Endpoint & identity
Workflow & alerting
Deployment
Your data stays where you decide
The same platform runs as managed SaaS, as a hybrid split, or entirely inside your perimeter — including air-gapped, with local models and no outbound calls.
Quick start
Cloud SaaS
Fully managed
Connect a surface and see results the same day. We run the infrastructure, updates and scaling.
- Zero infrastructure to manage
- Auto-scaling and HA
- Multi-region data residency
- Continuous detection updates
Most common
Hybrid
Metadata only leaves
Prompts and responses stay inside your network. Only metadata syncs to the cloud dashboard.
- On-prem scanner and collector
- Cloud console and alerting
- Metadata-only sync
- You set the data boundary
Regulated
Self-hosted
Full data sovereignty
Everything runs inside your infrastructure. Nothing leaves. Air-gapped deployment supported.
- 100% of data stays on-prem
- Air-gapped option
- Kubernetes or bare metal
- Local models, no external LLM calls
See your own AI estate in a week
Most pilots connect one surface on day one and have a mapped inventory, a scored risk list and real attack paths before the second week. Bring the surface that worries you most.
Deploys in your environment · SaaS, hybrid, self-hosted or air-gapped