Agentic AI security: independent consultant, agency or SaaS? How to choose
An honest comparison of independent consultant, agency and SaaS product for securing AI agents in production, and when each one is the right fit.
· 6 min
When a founder writes "we need to secure our AI agent", the first question is not technical. It is: who should do it. On the EU market there are three real options, and there is no absolute right answer. There is the right answer for your situation.
This guide puts the three side by side, honestly, including when the answer is that I am not the right fit for you.
The three options
Security SaaS product. A platform you buy on subscription: prompt firewall, scanning, ready-made guardrails. Self-service or close to it.
Agency. A company with a team that takes the project end to end, with a project manager, several people and a structured process.
Independent senior consultant. A single practitioner with hands-on experience who works on your specific system and leaves the know-how inside your company. That is what I do with DL Solutions.
Side by side
| Dimension | SaaS | Agency | Independent consultant |
|---|---|---|---|
| Best for | High volume, standard cases | Large, ongoing programs | SMBs and mid-market, focused scope |
| Entry cost | Low, recurring | High | Medium, per project |
| Time to start | Immediate | Weeks of setup | Days |
| Depth on your case | Low, it is generic | Medium, depends on the assigned team | High, works on your system |
| Who talks to you | Support / sales | PM + rotating people | The same person who does the work |
| Lock-in | High, you depend on the vendor | Medium | Low, the know-how stays with you |
| Typical risk | Covers the generic, not your edge case | Cost and coordination | Single capacity, manage with clear scope |
When to choose SaaS
If you have high volume and standard use cases (a large customer-support chatbot, many similar agents), a guardrail SaaS gives you 80% of the coverage immediately at a predictable cost. The limit: products cover known patterns, not your system's specific edge case. Great as a first layer, weak as the only defense for a system that makes sensitive decisions.
When to choose an agency
If the project is large, ongoing and multi-team (an agentic platform that becomes core business with a 12-month roadmap), an agency has the capacity to carry the load over time and to staff several people. The cost is higher, and part of it you pay in coordination: project managers, internal handoffs, and the fact that the senior person who won you in the sales call is often not the one who writes the code.
When to choose an independent consultant
When you have a focused use case (one or two agents, a specific system to secure or audit), when you are an SMB or mid-market company that does not want an enterprise contract, when you operate in a regulated sector (healthcare, finance, fintech) and need senior judgment rather than a template, and when you do not want to depend on a vendor forever. The value is that the person who decides is the person who executes, and the know-how stays inside your company. The honest limit is capacity: a single practitioner works well with clear scope, not with an unlimited mandate. That is why my engagements almost always start from an AI Assessment that sets the scope before any code is written.
When you need no one
If you have an internal team with a senior distributed-systems engineer, a real security-operations person and someone dedicated to compliance, and the use case is narrow, do it yourself and save the money. The five hardening moves are public in the pillar guide: Agentic AI Security for SMEs. Bringing someone in makes sense when one of those profiles is missing, or when you already have an agent in production that starts behaving strangely.
How I decide with a client
I never start from the biggest engagement. I start from a question: what is the use case, in which sector, with what internal team. If the answer says "SaaS is enough", I say so. If it says "you need an agency because this is a 12-month program", I say so. The point where I am the right choice is the middle: a real system, a defined scope, a sector where mistakes are expensive, and the willingness to keep the know-how in-house instead of renting it forever.
If you are in that spot and want to understand the level of hardening you need, the booking calendar is public: thirty minutes, async-first, no sales pitch.
FAQ
Independent consultant or agency for agentic AI security?
A senior independent consultant fits focused scopes (one or two agents, a specific system), SMBs and mid-market, and regulated sectors where you need senior judgment and no lock-in. An agency fits large, ongoing, multi-team programs. A SaaS fits high volume and standard cases as a first layer of defense.
How much does it cost to have a consultant secure an AI agent?
Engagements almost always start from an AI Assessment that sets the scope before any code is written, then the work is sized on the real case. A SaaS has a low recurring cost but only covers generic patterns; an agency has a higher entry cost plus a share spent on coordination.
When do you not need any external help?
When you have an internal team with a senior distributed-systems engineer, a security-operations person and someone dedicated to compliance, and the use case is narrow. In that case, do it yourself following the five public hardening moves.