Permission comes first.
Systems, access, methods, data handling, contacts, and stop conditions are agreed before work starts.
Balhence is an AI-native security practice: approved AI tools assist research and analysis, while a person validates every finding and owns delivery. We use recognized testing methodologies to plan the assessment, with scope, permissions, data handling, and safety agreed before any testing begins.
Balhence is an AI-native security practice working across penetration testing, research, code review, and defensive engineering. The job is to understand your systems well enough to find the problems that matter and explain what to do about them.
That might mean following a permission through a web app and its API, reviewing cloud access, or checking what an AI agent is allowed to do. Mobile apps, infrastructure, identity, source code, and detection are part of the picture too.
AI helps with research, analysis, and building tools. It can also be wrong. A person checks the evidence, reviews the work, and takes responsibility for what we deliver.
If your project needs specialist skills or equipment, we'll say so early. We agree on what we can take on before making a commitment.
Systems, access, methods, data handling, contacts, and stop conditions are agreed before work starts.
A plausible tool result isn't enough. We check findings and changes before asking your team to act on them.
Controlled accounts and synthetic records help us answer the question without touching more data than necessary.
The handover includes a walkthrough and whatever validation or re-testing is agreed in your scope.
We use AI for research, analysis, code, and documentation where it helps the work. Your approval determines which tools and data we can use. Human review stays part of the process.
AI use is documented in the scope and rules of engagement. No public model receives client credentials, tokens, customer records, source code, or unredacted vulnerability evidence unless the client explicitly approves the provider, purpose, and processing terms. No model autonomously tests production.
Read how we use AI in testingWe use recognized references to organize coverage and explain the limits of an assessment. The methods used depend on the systems and the agreed scope.
These are methodology references, not certifications or endorsements. Every reported finding is reviewed by a person, and the report identifies what was checked, excluded, or left unverified.
For features you build with models or agents, see AI and LLM penetration testing.
The name Balhence comes from santulan, meaning balance. Your team has releases to ship, customers to support, and data to protect. Security advice needs to account for all of that.
A recommendation that ignores the way your team works is unlikely to stick. We'll explain the risk, talk through the tradeoffs, and help you choose a fix you can maintain.
Our sample penetration test report uses fictional systems and findings to show the format. For other projects, we'll agree on the deliverable and how to check it before starting.
Balhence publishes buyer guides to help teams plan assessments and understand deliverables. Organization bylines link to this approach. A guide describes how to prepare for a service; it does not establish an individual's certification or a client's results.
Start with the penetration testing guides or compare assessment types and their limits.
The person who scopes the project stays involved in technical decisions, evidence review, and the handover. You can ask questions with the context already in place.
The systems, methods, data handling, and checks that define the work.
A rough idea is enough. Tell us what needs attention and we'll work through the next step with you.