<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;
}
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The latest from Alterion

Research
September 23, 2026

Hydra: Multi-Head Prompt Security Classification and the Over-Defense Failure Mode of Prompt Injection Benchmarks

Widely used prompt-injection detectors look strong on standard benchmarks by flagging most of their input, which makes them unusable in production. This paper shows why, and introduces Hydra: one shared encoder with four separately calibrated heads for SQL injection, PII, prompt injection and toxicity. At a 1% false-positive budget, Hydra still catches 57.8% of attacks.

Blog
October 29, 2026

Who authorized that? Banks can’t tell which AI agents in customer accounts were approved

Product Release
September 18, 2026

Introducing Helix

Helix is Alterion’s intelligence layer, a network of specialized small language models that reason together through a graph neural architecture and draw on persistent enterprise memory. It allows our platform to understand behavior in context rather than treating every prompt, tool call, model interaction, or agent action as an independent event.

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