<style>

/* ---------- Primary button ---------- */

.button_bg {
  background-color: #a83018;
  transition: background-color 0.3s cubic-bezier(0.4, 0, 0.2, 1);
}

.button:hover .button_bg,
.button:focus-visible .button_bg,
.submit-wrapper:hover .button_bg,
.submit-wrapper:focus-within .button_bg {
  background-color: #d24a2f;
}

/* ---------- Secondary button ---------- */

.button_bg.secondary {
  background-color: var(--neutral--900);
  border: 1px solid var(--neutral--500);
  transition:
    background-color 0.3s cubic-bezier(0.4, 0, 0.2, 1),
    border-color 0.3s cubic-bezier(0.4, 0, 0.2, 1);
}

.button:hover .button_bg.secondary,
.button:focus-visible .button_bg.secondary,
.submit-wrapper:hover .button_bg.secondary,
.submit-wrapper:focus-within .button_bg.secondary {
  background-color: var(--neutral--700);
  border-color: var(--neutral--300);
}

</style>
[fs-list-field]:has(> *),
.tag-component {
  transition: background-color 0.25s ease, border-color 0.25s ease;
}

.fs-list-active .tag-component,
.tag-component.fs-list-active {
  background-color: #d24a2f;
  border-color: #d24a2f;
}
Solution · Behavioural Control

Stopagent drift.

Judge what an agent intends, not just what a rule allows. Catch divergence at the tool call, in under 100ms, the moment it happens.

Supported by

The problem

Agents drift: today it works, tomorrow it doesn't.

Actions diverge from intent across a session, the failure mode you can't write a rule for in advance. Rules only catch what you thought to write down, and the moment an agent calls a tool is uncovered.
The solution

Judge intent, not just rules

Three layers, one record: heuristic (deterministic), semantic (reads intent) and behavioural (drift over time). Purpose-built small language models judge each prompt, response and tool call in-path.
Heuristic + semantic + behavioural
Reads intent
One record

Industry signal

>

80

%

of unauthorized agent actions through 2028 will be policy violations, not attacks.

Gartner

Cover the tool call, in-path

The MCP and function-calling step nothing else controls, judged in under 100 milliseconds across the whole workflow: prompt, model response, tool call and payload.
Verdict in <100ms
MCP + function calling
Whole workflow

Industry signal

Every

3

months

the average F500 agent estate doubles.

Gartner

Catch drift the moment it happens

Behavioural control tracks how an agent acts over a session and flags divergence as it emerges, not in a post-mortem. No agent code changes or SDKs.
Behavioural
Real time
No code changes

Industry signal

21

%

of enterprises have a mature agentic-AI governance model.

Deloitte, 2026

From the field

What security and AI leaders tell us

“

MCP and function-calling is the place where it is most valuable, and today it's uncovered.

Platform architect, top-ten global bank

“

I haven't seen yet this type of controls in the marketplace.

AI architecture lead, top-ten global bank

“

Agents created pathways in the runtime, not logged, not repeatable.

Head of AI & CTO, financial-technology firm

Why Alterion

Why Alterion is ahead for agent drift

01

The layer nobody else has

Behavioural control at the tool call, where prompt-level checks and cloud guardrails stop.

02

Reads intent, in-path

Semantic and behavioural judgement in under 100ms, not a rule you had to write in advance.

03

Runs in your stack

97.5% classification accuracy across six small language models, entirely in your environment.
The industry

What the industry is saying about agent drift

40

%+

of agentic AI projects will be cancelled by 2027, weak controls a named cause.

Gartner

82

%

of enterprises have unknown AI agents in their environment.

Cloud Security Alliance, 2026

150

k+

agents per F500 enterprise by 2028, up from fewer than 15 in 2025.

Gartner

Sources: Gartner · Cloud Security Alliance, 2026

Tech specs

In-path latency

<100ms

Layers

Heuristic, semantic, behavioural

Classification accuracy

97.5%

Coverage

Prompt, response, tool call, payload

Code changes

None

Ready to catch drift the moment an agent acts?

See it on your own estate. A read-only deployment in your VPC, live in days.
The platform

Products solving this problem

Runtime control plane

Draco

Discover, secure and govern every agent in real time, in one place.
Runtime intelligence

Helix

Runs entirely in your environment, reading agent behaviour to judge intent and risk.
FAQ

Common questions about agent drift


Behaviour that diverges from intent across a session, the failure mode you cannot write a rule for in advance.

Three layers, one record: heuristic, semantic that reads intent, and behavioural that tracks drift over time, judged in-path by purpose-built small language models.

Yes. The MCP and function-calling step nothing else controls is judged across prompt, response, tool call and payload.

97.5% classification accuracy across six small language models, with a verdict in under 100 milliseconds.

None, and no SDKs. It runs entirely in your stack.

Solutions

Explore all our solutions

One control plane.
Nothing leaves your walls.

See across every cloud, vendor,
and team in days, not months.