The average data breach now costs companies almost $5 million. In the United States, that number climbs to $11 million. The transcript also points to another problem: one in four malicious breaches are AI-enabled, with those incidents costing roughly $6 million each. At the same time, vulnerability disclosures jumped 36% in a recent quarter. AI tools are helping attackers find weaknesses faster than many engineering teams can patch them. That changes the problem for anyone shipping software today. The question is how many vulnerabilities are already sitting on your website or buried inside the code your team ships every week.
The Gap Is Between Building and Checking
Companies are under constant pressure to release new features. Leadership wants products moving forward, developers are shipping code, and AI is accelerating how quickly software can be built. Security can easily become something that gets checked later. That is where the danger sits. A vulnerability does not wait for the engineering calendar. If a weakness is already sitting in production, an attacker does not care that the next security review is scheduled for weeks from now. The faster attackers can identify those weaknesses, the less room teams have to react.
The argument is not that companies should stop building. It is that security testing needs to happen alongside the building. If a company is going to rely on websites, custom software, repositories, integrations, and AI-driven development, it needs a practical way to test those systems before a security problem becomes an expensive business problem.
AI Changed the Speed of the Attack
The same AI capabilities being used to build software are also available to attackers. That matters because security has always been partly a race between finding weaknesses and fixing them. When automated tools can discover vulnerabilities faster, traditional manual processes can struggle to keep up. The transcript points to autonomous attack scripts that can potentially exploit vulnerable applications in minutes. The exact timeline should be independently verified, but the larger engineering problem remains: an exposed vulnerability can become a target long before a team realizes it exists.
That makes hidden security flaws more important than the dramatic idea of a “rogue AI.” The practical threat is much simpler. Automated systems can help someone find a weakness in ordinary software, and that weakness may already exist in the infrastructure a company depends on.
Security Testing Should Be Easier to Start
That is the reason behind StartupHakk Security. The idea is simple: if you have a website or a code base that needs to be tested, you should not have to spend weeks hiring a consultant just to get the first security assessment underway. The process starts with an account using basic information, with Google sign-in also available. Once signed in, users land directly on the dashboard.
The dashboard provides a view of the current security posture, including open findings, severity levels, trends over time, and recent scans across assets. From there, users can start a website scan by entering the application domain and confirming that they own the target or have permission to test it. A code scan works by uploading a ZIP archive of the code base, up to 20 MB. Only one scan runs at a time per account, keeping the process simple and predictable.
A Finding Has to Be Something You Can Act On
A security report is only useful if an engineering team can do something with it. StartupHakk Security organizes findings by severity and gives users more than a list of problems. The full report provides the findings along with information about what each issue is, why it matters, and how to fix it. The report can also be downloaded as a PDF and shared with a team or client.
The findings also include evidence. On a code scan, that means the actual lines of code involved. On a website scan, it means what the scanner observed on the live site, including real requests and responses. Users can mark findings as fixed after patching them, ignore findings that do not apply, or mark them as false positives when the scanner got something wrong. Findings can also be managed in batches, while CSV export makes it possible to move the data into a spreadsheet or tracker.
Security Is an Ongoing Engineering Task
Running one scan and forgetting about it does not solve the underlying problem. Software changes, websites change, and new code gets deployed. A vulnerability that did not exist in one version can appear in another. That is why the asset library is part of the workflow. Previously scanned websites and code bases remain available as assets, allowing users to return to them instead of starting from scratch every time.
Once an asset is in the library, it can be rescanned with one click. Users can review the latest report, manage the asset, or remove it and its history when it is no longer needed. The workflow becomes straightforward: scan the asset, review what was found, fix what needs fixing, track the status, and scan again.
The Real Risk Is What You Don’t See
The biggest problem is often the vulnerability nobody knows about. It could be a weakness on a website or an issue buried inside the code that gets shipped every week. While leadership is focused on new features and product releases, those weaknesses can remain inside production systems. The business only discovers the problem when something goes wrong or someone else finds it first.
AI makes that gap more important because it increases the speed on both sides. Companies can build faster, but attackers can also use AI tools to search for weaknesses faster. If development accelerates while security remains slow and manual, the gap between shipping software and knowing what is exposed can become larger.

Build the Software. Check the Software.
The answer is not to stop shipping software. Companies need to build, improve, integrate, and move quickly. But shipping quickly without knowing what is inside the software creates another problem. Security testing needs to be part of the development process rather than something that begins after an incident.
StartupHakk Security provides a way to scan websites and code bases, review evidence-backed findings, manage remediation, export reports, and keep assets available for future scans. The goal is straightforward: security scanning that works while you work. If your company is building custom software or running a production website, test what you are shipping before a security problem becomes an expensive one.
Explore StartupHakk Security and put your website or code base to the test before someone else does.




