Cybersecurity for Startups

Many startups put cybersecurity off until they land major clients or investment. Yet the early stages are exactly when it is easiest to lay the right foundation: set up access controls, secure the code, and keep track of external assets. This helps you avoid critical mistakes that become far more expensive to fix later.

The best strategy is to move step by step, from the simpler and more affordable measures to the more complex ones. The first step is access control: it removes a large share of future risks, requires no significant resources, and a team can usually handle it on its own. If you lack the in-house resource, A42's Identity & Access Management service covers this stage.

The next priority is to audit your existing processes and put baseline security controls in place, followed by continuous monitoring of your external perimeter and regular vulnerability scanning. This approach lets you reduce the most risk with the least effort.

Most often these are common, well-known vulnerabilities rather than sophisticated attack schemes: forgotten subdomains and test services, databases with default passwords, hardcoded secrets (keys and tokens left directly in the code) and outdated software on the external perimeter with known vulnerabilities. Another typical problem is vibe coding flaws, where code is generated quickly with AI, with no security hardening and no review. What these issues share is that they appear wherever the pace of development leaves no room for security.

A pentest is a controlled simulation of an attack: white hat hackers (or AI agents) act like a real attacker and show exactly how your product could be compromised. Unlike a scanner, which only lists potential problems, a pentest confirms that a vulnerability can actually be exploited. For a startup this solves two tasks at once: fixing what is dangerous before attackers find it, and obtaining proof of security for investors and large clients.

The typical recommendation on the market before AI became widespread was once a year. However, you shouldn't rely on the calendar: a pentest is worth running after every significant change: a major release, an architecture update, or entry into a new market. Between tests, security is maintained by regular perimeter monitoring, which keeps new vulnerabilities from going unnoticed for months.

Also, today the market is moving toward continuous penetration testing, and with AI Pentest this can be done quickly and at a lower cost.

The key benefits of AI pentesting are speed, cost, and coverage. A manual pentest can be very high quality but expensive and takes weeks, so startups often postpone it indefinitely.

AI penetration testing shortens the check to a few days and costs significantly less, which makes it possible to run regularly rather than as a once-a-year formality. For example, AI Pentest from A42 delivers results in four days, with a proof of concept for every vulnerability and a report suitable for passing compliance. On top of that, because the testing is carried out by agents following a built-in methodology, they can cover the full scope of required checks, whereas manual testing runs into the problem of limited resources.

Yes. Proof of security is regularly required not only during certification but also during investment rounds and the first large B2B deals. Unfortunately for startups, it often becomes the bottleneck: there is no one inside the company who speaks the language of auditors, and the deal stalls.

To avoid this, you need a pentest with a report suitable for international standards, provided that the vulnerabilities found are subsequently fixed. AI Pentest, in particular, provides such a report.

It's essential. AI generates working code but does not take security requirements into account, so typical vulnerabilities and secrets hard-coded directly into the source often make it into the release and go unnoticed during rapid development. Fixing them before release costs far less than dealing with the aftermath of a breach. This is what static code analysis is for, and our AI SAST is ideal for it, checking the entire scope against the OWASP WSTG methodology in just a few minutes.

These are two entirely different products that do different tasks. SAST analyzes the internal structure of the code and helps to find vulnerabilities before deployment. A pentest evaluates an already running system from the outside and checks which of the findings can actually be exploited. They are not alternatives but two different levels, and reliable protection combines both.

The external attack perimeter is everything about your company that is visible from the internet: domains, subdomains, exposed services and APIs. The biggest threats usually lie not on the main website, which is generally well protected, but on a forgotten subdomain: someone spun up a test service, connected a database with a weak password, and left it unattended. These forgotten assets can become the entry point into the entire infrastructure. You can only protect what you know about, so the perimeter needs continuous monitoring rather than a one-time check.

Two steps deliver the greatest effect: eliminating insecure default configurations and putting access rights in order according to the principle of least privilege. This is basic hygiene that does not require an in-house DevOps. A42 provides this through its Cloud Security service and access setup (IAM), while the Recon + Exposure platform shows which cloud services are exposed to the outside and where they remain open.

Keeping a full-time CISO on staff in the early stages is expensive, and there isn't a full workload for the role yet. At the same time, the absence of a strategic perspective is risky: without it, security is built chaotically and decisions are made intuitively. A sensible compromise is to bring this expertise in from outside. As an external partner, A42 assesses risks through a Cybersecurity Audit and builds a step-by-step roadmap, so in the early stages you can manage without an in-house CISO.

The cost depends on your specific needs, products, services and the scale of your perimeter. For example, the price for AI pentest starts at $1,000 (roughly €900) and covers pentesting of one domain, including a basic check for common vulnerabilities across up to 50 subdomains, in-depth testing of up to two critical subdomains, and checks of up to four roles. To get an exact quote, fill out the contact form on the website, and after an introductory call you'll receive a full estimate from us.