AI Runtime Security + Agentic SecOps for production AI Schedule a Demo

AI Runtime Security + Agentic SecOps

Control AI risk before it reaches production.

Runtime controls for AI apps, agent-led SecOps workflows, and practitioner support to ship with evidence.

  • Runtime policy enforcement
  • Tenant-scoped evidence
  • Human approval gates
Ametriq Platform Production AI security control plane
Live policy
Runtime decision Prompt injection blocked
High
AI request

Instruction override attempt detected in customer-facing assistant.

Policy response

Blocked, redacted, and recorded with audit context.

Spectra correlation 42 alerts collapsed into 1 owner-ready case

Agent evidence, runtime policy, and asset context retained for review.

01Evaluateprompt, context, tool
02Decideblock, warn, allow
03Correlatethreats, code, assets
04Proveevidence, audit, report

Operating View

Make AI security visible before it becomes incident work.

Runtime decisions, findings, and evidence in one operating view.

AIGuard Runtime decisions
18% actioned
  • Allow82%
  • Warn10%
  • Block8%
Spectra Finding mix
Critical
7%
High
26%
Medium
43%
Low
24%
Workflow Evidence path
SignalPrompt + tool
PolicyTenant rules
RecordAudit trail
ActionCase + report

Product Suite

Two product surfaces, one operating model.

AIGuard

AI Runtime Security

Intercept AI requests, authorize MCP/tool use, enforce tenant policy, and attach audit evidence to every decision.

Spectra

Security Operations Agent

Turn agent findings into tenant-scoped posture, triage, approvals, and evidence-backed reports.

Buyer Outcomes

Less security theater. More operating control.

RuntimeStop unsafe AI behavior before execution
OperationsMove from alerts to owner-ready decisions
AssuranceMake evidence a byproduct of every workflow

Enterprise Readiness

Built for security teams that need control, not another AI dashboard.

Deployable controls: tenant isolation, runtime decisions, approval gates, and evidence records security teams can defend.

Deployment Gateway-first enforcement

Place policy decisions in the AI request path instead of reviewing logs after the fact.

Isolation Tenant-scoped data model

Separate policies, evidence, assets, runs, approvals, and reports by organization.

Governance Human approval checkpoints

Keep agent-generated findings and remediation work reviewable before action.

Evidence Audit-ready records

Retain decision, reason, risk source, policy result, and reviewer context.

2-Week Evaluation

Prove value on one AI workflow or one application.

Start with one production-relevant workflow. We instrument the control point and prove the decision path.

01Select workflow

Choose an AI app, internal copilot, MCP/tool path, or application security workflow.

02Instrument controls

Map prompts, tools, findings, approvals, and evidence into the evaluation path.

03Prove decision quality

Show block, warn, allow, triage, approval, and reporting behavior with sample cases.

Security Consulting

Security expertise for the parts automation cannot own.

AI security assessment Threat modeling Cloud and AppSec review Incident readiness
View consulting

About

Built for teams shipping AI and software under pressure.

Ametriq focuses on runtime AI protection, agentic security workflows, practical architecture, and measurable operating outcomes.

  • Clarity over noise
  • Secure by design
  • Ship measurable outcomes

Contact

Book a product walkthrough.

Tell us whether you want AIGuard, Spectra, or consulting. We’ll tailor the walkthrough to your stack.