Discover every AI tool in use. Block sensitive data from leaking into prompts. Prove control to auditors. Aona sits between your workforce and every AI platform they touch, so security and governance scale with adoption.
Every team in your organisation is already using AI. Employees paste sensitive data into ChatGPT, Claude, Gemini, Copilot, and a long tail of niche tools. Agents browse the web and act on external content. Traditional DLP and web proxies were not built for this, so they miss most of it.
Aona is the control plane for enterprise AI. It discovers every AI tool in use, enforces policy in real time on every prompt and response, redacts sensitive data before it leaves your environment, and captures the audit evidence your compliance team needs. One platform, end to end, so AI security scales with AI adoption.
We sit inline between your workforce and the model providers. That means enforcement happens at the moment of risk, not hours or days later. It also means you get a single source of truth for who used what AI tool, what data went in, and what controls fired.
Aona continuously maps every AI platform active across your workforce. Each tool is profiled on data handling, hosting region, training opt-outs, SOC 2 status, and vendor transparency, then scored against your policy.
You see who is using what, which data classes are flowing where, and which tools sit outside your approved list. Free-tier accounts, browser extensions, and embedded AI in SaaS products all show up in one live inventory.
Most customers find an order of magnitude more AI tools in use than their IT team expected. Within days you have the first real picture of AI exposure in your organisation.
Aona's AI Firewall inspects every prompt and response in real time. Sensitive data is detected by content-aware classifiers and either redacted, blocked, or flagged based on your policy. Because enforcement is inline, risky data never reaches the model provider.
Unlike periodic scans or after-the-fact audits, the AI Firewall operates at inference speed. A customer record pasted into a chat is caught and redacted in milliseconds, before the request ever leaves your environment.
Policies are defined once and enforced everywhere: per data class, per tool, per department, per user. Compliance teams get live coverage metrics and evidence on demand, without sampling or manual review.
Every enterprise adopting AI faces the same cluster of risks. Aona's platform covers each one with dedicated controls, mapped to OWASP Top 10 for LLM Applications and the NIST AI Risk Management Framework.
Employees routinely paste PII, PHI, source code, trade secrets, and regulated records into public AI tools. Once data reaches a model provider, you lose visibility and, in many cases, residency and retention guarantees. Aona inspects every prompt inline and redacts or blocks sensitive content before it leaves your environment.
Most organisations underestimate the number of AI tools in use by an order of magnitude. Free-tier accounts, browser extensions, and SaaS integrations create a constantly shifting inventory. Aona continuously discovers every AI platform active across your workforce and ranks each on risk.
A written AI acceptable-use policy only matters if it is enforced. Aona converts policy into runtime controls: per-department rules, allow-listed models, blocked data classes, and consent prompts. When policy changes, enforcement updates everywhere at once.
AI tools that read external content (web pages, documents, email) can be hijacked by embedded instructions, causing them to leak data, skip guardrails, or take unintended actions. Aona blocks risky tool calls and sanitises outputs so injected instructions cannot silently change AI behaviour.
Autonomous AI agents expand the attack surface by calling tools, accessing files, and taking actions without a human in the loop. Aona logs every agent interaction, enforces scope limits on what data and tools agents can touch, and flags anomalous behaviour for review.
Data sent to a consumer AI product may be used to improve future models. Aona identifies tools that train on customer inputs, blocks sensitive data before it reaches them, and routes workforce traffic to enterprise tiers with training opt-outs where available.
Unmanaged AI usage creates budget surprises and capacity risks. Adversarial inputs designed to maximise token generation or trigger runaway agent loops can exhaust quotas without any traditional network-layer signal. Aona monitors token usage, enforces per-user and per-department budgets, and caps runaway sessions.
GDPR, HIPAA, ISO 42001, the EU AI Act, and sector regulators expect defensible evidence of how AI is used and governed. Aona logs every policy enforcement, redaction, and usage event and maps them directly to control frameworks, so your compliance team has audit-ready evidence on demand.
Risk category classifications aligned with OWASP Top 10 for LLM Applications and NIST AI Risk Management Framework
AI adoption moves faster than any annual audit cycle. Aona runs a continuous loop of discovery, protection, and governance so your security posture keeps pace with how your workforce actually uses AI.
Continuously map every AI tool in use across your workforce. Each platform is profiled on data handling, hosting, training opt-outs, and certifications, then scored against your policy.
Inspect every prompt and response inline. Sensitive data is redacted or blocked before it leaves your environment. Per-tool, per-department, per-user policy enforcement, all versioned as code.
Approve, restrict, or block tools by class of data and level of risk. Route workforce traffic to enterprise tiers with training opt-outs. Version policy, review changes, roll back when needed.
Every enforcement event is logged with evidence and mapped to GDPR, HIPAA, ISO 42001, the EU AI Act, and NIST AI RMF. Audit-ready reports on demand, without manual collection.
This loop runs continuously, not annually, not quarterly. Every day.
The gap between an annual audit and continuous enforcement is not a matter of degree. It is a matter of kind.
Employees adopt new AI tools every week. A new browser extension or SaaS feature can create data exfiltration paths within hours. Periodic audits miss everything between cycles. Continuous discovery catches drift the moment it happens.
Prompt injection, jailbreak techniques, and new AI platforms emerge weekly. A static allow-list or annual policy review is obsolete before the ink dries. Aona updates risk profiles and enforcement rules continuously.
A single pasted prompt can send years of customer data to a third-party model. A single unsanctioned agent can access files, APIs, and databases. The cost of a missed control is higher than in conventional software, which is why enforcement has to happen inline.
Common questions about Aona's AI security and data protection platform.
Deploy Aona across your AI stack in under 30 minutes. Discover shadow AI, redact sensitive data in real time, and prove control to auditors. No complex rollout. No security expertise required to get value on day one.