Strivio inspects every AI interaction in real time — blocking prompt injection and data exfiltration, enforcing the policies you define, and writing every decision to a tamper-evident log built for auditors.
Model-agnostic. Integrates at your agent's call boundary via the Python SDK or API.
An agent with API access can read a database, call an external service, and send data outside your network in a single unmonitored sequence. Traditional security tools weren't built to inspect what an AI decides to do — they see the network call, not the reasoning behind it.
When something goes wrong, most organizations discover they cannot answer three questions: what did the agent do, why did it do it, and was it allowed to?
Paste a prompt injection attempt, an SQL injection string, or a data exfiltration request and watch it get scored and classified. No signup required.
Open the demoEvery prompt, tool call, and response passes through the firewall before reaching its destination.
The policy engine checks the interaction against your rules: what this agent may touch, what it may do, what needs a person.
Allow, block, flag for review, or hold for human approval. The decision executes inline, not after the fact.
Every decision is written to a tamper-evident log with the reasoning attached.
Every capability is labeled. We'd rather show you a shorter list than an inaccurate one.
Real-time inspection of agent traffic across 16 detection categories, each weighted in risk scoring.
Define what each agent may access and do. Rules evaluate inline, returning allow, deny, or require-approval before the action runs.
Route high-risk actions to a named approver. Approvals, denials, and the reasoning behind them are recorded together.
A tamper-evident record of what was requested, which policy applied, what happened, and why. Built to be read by auditors.
Detects manipulation directed at your agents: authority impersonation, urgency pressure, pressure to skip security controls, emotional coercion, and trust exploitation. Produces a scored signal, not an automatic block.
Analyzes behavior across turns of a session to catch manipulation invisible in any single message: crescendo escalation, repeated attempts after refusal, and incrementally increasing request sensitivity. Requires a stable session identifier and analyzes a bounded window of recent turns.
We are not certified against these frameworks, and we don't claim to be. We map to them so your evidence collection is easier.
Decision logging and human oversight controls support GOVERN and MANAGE function evidence.
Detection and response capabilities map to DE and RS categories.
Policy, approval, and audit records structured for AI management system documentation.
Detection categories address prompt injection, sensitive information disclosure, and improper output handling.
We're an early-stage company, and we'd rather tell you that than have you discover it during procurement.
AI firewall with 16 detection categories, single-turn social engineering detection, multi-turn behavioral trajectory analysis, policy engine, human approval workflows, decision logging with hash-chained integrity, audit export, Python SDK, LangChain adapter, role-based access control.
Expanded reporting views, additional agent framework adapters, extended trajectory analysis windows.
On-premise deployment, additional language SDKs, further agent framework adapters.
SOC 2 Type II audit has not started. We hold no certifications and will not imply otherwise. Contact us for our architecture overview and data handling documentation.
Published customer references. We’re early, and we’d rather show you the product and our architecture than borrow someone else’s credibility.
Every plan includes the firewall, policy engine, human approval, and decision log.
15-day free trial on all self-serve plans. A payment method is required to start. You will not be charged until the trial ends, and you can cancel any time before then.
Most conversations start with “we're deploying agents and our security team wants to know what happens when one goes wrong.” That's the right question. Let's walk through it against your architecture.
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