AI Security for Agents, Apps and Data
Once AI tools and agents are part of daily work, someone has to ask what they can reach and what they are doing. These products answer that. They set access rules, watch agent behavior, test apps for weaknesses and spot sensitive data leaving through prompts. All of them run in your own accounts under a written Scope Card.
Products in this category
What risks do these products help you control?
There are three broad worries. The first is access: who and what can use your AI tools and data. The second is behavior: whether agents do something risky or unexpected once they are running. The third is weakness in the apps themselves, from prompt injection to insecure code. Each product here takes one of those worries and turns it into a defined control or review.
- Role-based access to AI tools and data
- Rules on what each AI agent may access and do
- Alerts on security events from AI systems
- Defenses against prompt injection
- API traffic watched for abuse and anomalies
- Sensitive data detected in prompts
Should you start with controls, monitoring or a review?
If you are not sure where you stand, the AI Security Audit reviews your AI applications and agents for common weaknesses and gives you a starting point. If you already know agents need limits, the AI Agent Permission System defines and enforces what each one may do, and the AI Agent Security Layer adds policy enforcement, tool limits and logging around them.
For ongoing watch, AI Security Monitoring centralizes security events with alerting, the AI Agent Risk Monitor looks for unexpected agent actions, and the AI API Security Monitor watches API traffic. Engineering teams often add the AI Application Security Agent for code and dependency scans, or the AI Security Review Assistant for designs and pull requests.
Questions buyers ask
What is the difference between the permission system and the security layer?
The AI Agent Permission System focuses on defining and enforcing what each agent may access and do. The AI Agent Security Layer wraps your agents with policy enforcement, tool limits and logging. Teams that want clear rules per agent often start with permissions, while teams that also want a record of activity look at the security layer.
Does the prompt injection product work with apps we built ourselves?
The AI Prompt Injection Defense adds input and output defenses against prompt injection in your AI apps. It is set up in your own accounts around the apps you already run. Read the Scope Card on the product page to confirm it matches the apps you have in mind before you order.
How do we keep staff from pasting confidential data into AI tools?
The AI Data Leakage Monitor detects sensitive data leaving through AI tools and prompts, so you can see when it happens and respond. Pair it with the AI Security Policy System, which maintains your security policies and checks systems against them, so the rules people follow are written down and kept current.
Choosing between AI Security products?
Tick Compare on up to four products to see scope, price and delivery side by side. If you would rather talk it through, an expert can help you pick the one that fits how you work.