Application security

Reduce the risk of data exposure and costly security incidents.

A weakness in your software can expose customer data, enable unauthorized activity, or disrupt business operations. I help businesses identify these risks, make informed security decisions, and build protection into software before weaknesses become expensive problems.

Discuss your security challenge ↗ Explore services

Protect your business

Prevent security weaknesses from becoming business problems.

Security problems can begin in design decisions, everyday features, connected systems, or AI-powered workflows. Identifying risks early gives you more options to protect customer information, avoid disruption, and prevent costly changes later.

01 / ARCHITECTURE & DESIGN

Avoid costly security gaps from the start

Security decisions made early can prevent expensive redesigns and reduce exposure as your software grows. Identify where sensitive information could be exposed, how important actions should be protected, and where connected systems could introduce risk.

Build security requirements into product design
Protect access to sensitive data and actions
Assess risks in APIs and external integrations
Identify risky assumptions before development advances

Discuss a design challenge

02 / ASSESSMENT & TESTING

Find out how your application could be abused

Software can work as intended and still allow someone to access another customer's data, bypass permissions, or misuse an important feature. Security testing helps uncover these weaknesses before they lead to data exposure, fraud, or other costly incidents.

Web applications and APIs
Access control and permission weaknesses
Business logic and common application risks
Security assessments and penetration testing

Discuss a security assessment

03 / SECURE ENGINEERING

Make security practical, not just a report

Understand which risks matter, what options are available, and how to put appropriate safeguards in place. Whether you're building new software or improving an existing application, the goal is to make security part of the solution rather than a separate exercise.

Prioritize risks by potential business impact
Secure design and implementation guidance
Practical safeguards for data and critical actions
Testing to verify that security measures work

Discuss a secure engineering challenge

Reduce uncertainty

Know which risks deserve attention first.

Not every security issue has the same consequences. Clear priorities help you focus time and resources on weaknesses that could expose data, disrupt important operations, or increase the cost of running your software.

Understand what is at stake

See what an exploited weakness could affect, from customer information and business transactions to service availability and trust in your product. This puts technical risks into a business context.

Focus on what matters most

Consider how a weakness could be exploited, what it exposes, and how much damage it could cause. This helps determine which risks deserve attention first instead of treating every finding as equally urgent.

Make changes with confidence

Whether introducing a new security measure or changing an existing application, verify that the protection works as intended without breaking the features your business and customers depend on.

Security is an engineering outcome, not a checkbox. The goal is to reduce real risks while keeping software useful, dependable, and fit for the business it supports.

AI and agent security

Let AI agents help without giving them too much power.

AI agents can access data, use tools, and trigger real actions. If they have more access than their tasks require, a feature designed to save time can expose sensitive information or do something a user never intended. Security needs to account for what these systems can actually do.

Limit what agents can do

Check whether each agent can access or change only the data and systems needed for its task. Overly broad permissions can turn a useful automation into a path to unauthorized actions.

Keep sensitive data protected

Examine how information moves between users, AI models, tools, and connected systems. The goal is to reduce opportunities for sensitive data to reach people or services that should not have access to it.

Test the safeguards before relying on them

Verify that permissions, restrictions, and approval steps hold up when an agent performs its tasks. Security controls need to work in practice, not just look correct in a design document.

This is especially important when AI agents interact with customer records, business systems, financial workflows, or other sensitive operations.

Getting started

Start by identifying what needs protecting.

You don't need a completed security plan or a formal scope to start a conversation. We can discuss what your software does, what would be costly or damaging if exposed, and what would be most useful to evaluate first.

Start with a complimentary initial assessment. We'll discuss your application, business concerns, and possible next steps, with no obligation to proceed. Detailed security assessments, penetration tests, code reviews, and formal reports are scoped separately.

Application security

Let's identify what could put your business at risk.

Whether you're preparing to launch a new product, expanding an existing application, or introducing AI agents, let's discuss what needs protecting and which security risks matter most.

Discuss your security challenge ↗