Modern AI-based security workloads are increasingly intensive, iterative, and data-driven. Professionals rely on AI agents for tasks such as log triage, vulnerability research, exploit development, incident investigation, and continuous monitoring. These workflows routinely trigger deep reasoning sequences that cannot be predicted or artificially constrained.
In this landscape, many pay-per-use AI security tools — Competitor 1, Competitor 2, and similar metered-billing providers — rely on token-metered pricing models, forcing users to pay for every interaction and making operational costs volatile and difficult to forecast.
As a result, users face a dilemma: either limit their own operations to control budget, or absorb unexpectedly high monthly usage costs—both of which undermine the purpose of using AI for security.
CAI PRO addresses this fundamentally by offering unlimited usage with predictable pricing, enabling stable, uninterrupted security workflows without the volatility of consumption-based competitors.
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Internal analysis of AI reasoning behaviour—supported by Section 3.1 of the CAI technical report—shows that tasks such as exploit chain construction, recursive log triage, multi-step vulnerability correlation or iterative binary reasoning may trigger rapid and non-linear token consumption. This means that in a pay-per-use model, costs often grow 10×–50× faster than users expect. Competitor-style pay-per-use limits lead to interruptions, forced cutoffs, or unpredictable costs. By contrast, unlimited usage ensures continuous, stable operation.
Cybersecurity AI (CAI) enables security teams to run autonomous agents capable of reasoning, detection, exploitation, correlation, and response. Powered by the alias1 model, CAI is designed for high-demand, non-linear workloads, where deep internal planning and long-horizon reasoning are the norm. While Competitor 1, Competitor 2 and other pay-per-use providers adopt metered billing—charging per token, per request, or per compute cycle—CAI PRO delivers unlimited usage at a fixed price, giving professionals a predictable and sustainable operating model. This model aligns with how AI security actually works: intensive, spiky, unpredictable, and impossible to fit into constrained billing structures.
Learn about Alias Robotics 🛡️ Get CAIAlias Robotics is a European company specialized in cybersecurity and the development of Cybersecurity AI (CAI), an advanced framework for autonomous security agents. Our team combines academic research, applied AI engineering and offensive/defensive security expertise to deliver systems capable of operating continuously and reliably.
We are committed to technical excellence, ethical standards, technological sovereignty and transparency.
Most AI security tools available today use pay-per-use or token-metered billing. While attractive at first glance, this model introduces several critical issues for professional security workloads:
Section 3.1 "System Architecture and Configuration" of this paper explains why agents performing deep, iterative reasoning naturally generate high token usage. This confirmed that token-based models are structurally incompatible with AI security operations.
After extensive analysis, Alias Robotics adopted a fundamentally different approach:
CAI PRO therefore becomes the natural foundation for AI-driven security: predictable, stable and built for autonomy. This model ensures that security professionals can execute intensive tasks—vulnerability correlation, iterative exploit development, large-scale log analysis—without worrying about consumption limits or unexpected cost surges. By removing billing friction entirely, CAI PRO aligns operational reality with economic incentives, enabling teams to focus on results rather than resource management.
