Moving beyond popularity to evaluate AI tools based on security, compliance, governance, and enterprise fit.
When was the last time you bought a car? If you have a family, then you probably had a lot of perspectives and opinions on which car to buy. Maybe you were intrigued by all the latest options and features available, while your spouse felt like reliability and safety were the most important criteria. If you had teenagers, maybe the one that looked the best or was most popular among their peers had their vote. If you had little kids, having a lot of space to do their own thing without their little brother touching them was all that mattered to them. The point is, making the decision about the right car is very much an individual decision with a lot of factors that need to be considered and weighed. The same is true when deciding what AI tools you are going to bring on board to empower your development teams.
When deciding what tools you will allow, it is tempting to just go for the most popular one. However, that changes with the release of each new feature or model. It is also tempting to let your individual team members do their own thing and just tell them to “be safe about it.” This approach will most certainly result in a fragmented, ungoverned tool landscape that exposes the organization to security, compliance, and data protection risks.
So, what is the answer? Well, like the choice of cars, the answer is to determine the criteria important in your enterprise. While most marketplace comparisons focus on speed, accuracy, and developer preference; the decision at the enterprise level is fundamentally different. Security, data protection, compliance, and cost must factor heavily in the equation. In the end, there is no “best” tool. There is only the best-fit tool(s) based on your enterprise constraints. In enterprise decisions, risk often overrides feature set. Here are some key areas to take into consideration regarding importance within your enterprise:
Security and Data Protection:
- What is the data residency?
- Does the tool guarantee that your data will not be used to train its models?
- What is the prompt/data leakage risk?
Remember that these tools are taking on the role of privileged actors.
Privacy and Intellectual Property:
- IP indemnification (does the vendor assume risk for use of copyrighted code?)
- Regulatory concerns (your code may be shipped off to a third party – does that third party meet your specific requirements from a regulatory standpoint?)
Governance and Control:
- Is there sufficient audit logging and traceability?
- Is there policy enforcement?
- Are there agent control features?
AI-assisted development must be seen as a governance concern and not just a tooling decision.
Cost and Total Cost of Ownership:
- What is the licensing and usage cost?
- What are the hidden costs?
- Training
- Potential increased senior dev review time
- Potential increased QA time
Developer Productivity:
- Still important, but not the most important factor
- Code generation speed
- Context awareness
- Workflow integration
Again, there is no perfect tool. Many enterprises are finding that a combination of tools is the best fit based upon the task and the skill level of their individual team members. Of course, this also results in increased costs.
Choosing the best fit for your enterprise and putting proper governance in place is vital. The other piece of the puzzle is your team’s shift in mindset when utilizing these tools. According to a 2025 study by Veracode, AI will produce functional code but also introduces security vulnerabilities in 45% of cases. Therefore, any implementation of AI-assisted development must also come with policies and training for your development team to ensure that they configure and utilize the tools responsibly.
AI is changing everything. At Keller Schroeder, we are focused on helping our clients understand how AI fits into their world, from how you secure your business; to how you educate your employees; to how you utilize AI to evolve your capabilities. Your business is already on an AI journey, whether intentional or not. If you would like to explore how Keller Schroeder can walk beside you on this journey, reach out to your Select Account Manager or any member of our team to take the next step.
