aisy helps your clients move from isolated vulnerability tickets to the threats they actually care about - building context broader than any single ticket and feeding recurring patterns into their developers' coding agents, so every finding makes the next one less likely.
The decision underneath the service
Your analysts make the judgment calls that determine client outcomes. What's critical. What chains together. What the client should fix first. The speed and confidence of those calls is what separates a good service from a great one.
That confidence depends on context: how the client's environment looks from the outside in, how findings relate to each other, and what an attacker would actually do with what's exposed.
What aisy adds to your stack
aisy surfaces the threats that matter to each client's environment and organizes every asset, vulnerability, and attack chain around those outcomes. Your analysts don't start from tool output - they start from what actually puts the client at risk.
Confident decisions in seconds
When a finding arrives, the context is already built: what it connects to, whether it chains into something worse, how it relates to what the client is protecting. Your analyst makes a confident call in thirty seconds instead of thirty minutes of context-switching across tools.
Client deliverables tied to business outcomes
Instead of handing over a list of findings sorted by CVSS score, you deliver a report organized by what the client is trying to protect: account takeover, data exfiltration, service disruption. Ten root causes they can act on, not a thousand tickets they can't.
One story per client, across every service
A pentest finding, a SOC alert, and a vulnerability scan result might all point to the same root cause. Only aisy sees that, because we model the client's environment from the outside in and connect chains across every data source.
How it fits your delivery
01Connect your client's sources
aisy continuously models the client's environment the way an attacker would - discovering assets, mapping how services connect, understanding what's exposed and how it chains together. Ingest data from vulnerability scanners, pentests, SOC alerts - Tenable, Qualys, and anything else your team owns. Every finding lands in attacker-informed context your analysts can act on immediately.
02We surface what the client needs to protect
aisy discovers the threats that matter to the client's environment - account takeover, customer data exposure, payment system disruption - and connects every asset, vulnerability, and attack chain to each one.
03Deliver the complete picture
Your client sees their risk organized by threat, not by tool. Root causes that resolve hundreds of individual findings. Exploit chains that no single scanner would catch. A clear answer to "what should we fix and why."
Built on Attacker Logic, scaled by AI
aisy's reasoning comes from nearly a decade of bug bounty methodology. The same logic that finds the complex, chained paths automated scanners miss. Our founder has made judgment calls on over $20M in verified findings at organizations like Salesforce, Zoom, AWS, and the Pentagon.
For your team, that means the context layer powering your services isn't just aggregating data. It's reasoning about what an attacker would actually do in this specific client's environment.
What your clients get
Risk by threat, not by tool
Here are the three ways your business can be compromised, and what to do about each one.
Root causes, not ticket lists
Fix this S3 policy and 23 findings close. Fix this auth pattern and 80 tickets resolve.
Exploit chains scanners miss
Three medium-severity findings that, combined, create a critical account takeover path.
Confidence to act
Your client knows how they can be compromised, and what they're doing about it.
Intelligence that reaches development
For clients with engineering teams using AI coding tools, the themes and patterns aisy surfaces can flow directly into their development environment - scoped to the right component, at the right time.

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and see the full picture.