Skip to content

STEELEYE AI SOLUTIONS

Neural Alerting

Prioritise genuine risk before investigation, reducing noise across high-volume communications surveillance. Powered by advanced LLMs and agentic AI, it mirrors multi-level compliance review to reduce false positives, improve consistency and keep human oversight in place.

See how Neural Alerting prioritises genuine risk.

Steeleye Neural Webpage Hero Image

How Neural Alerting Improves Your Surveillance

3
Levels of AI-led compliance review before investigation
+95
Languages supported for multilingual risk detection
0-10
Severity scoring to prioritise genuine risk
Neural AI search helps SteelEye clients find what they need

Reduce Alert Noise Before Investigation

Neural Alerting helps teams separate genuine risk from low-value alerts before investigation begins.

  • Uncover real risk: Use AI to generate alerts that are most likely to require attention.
  • Define your risk threshold: See the alerts you need to see, without the volume and noise.
  • Keep control: Maintain human oversight, explainable assessment and a clear audit trail.

Focus investigations on actual risk by reducing alert noise before it reaches compliance review.

Explainable AI for Compliance Control

AI-led surveillance only works if compliance teams can explain, evidence and control the process. Neural Alerting supports governed risk prioritisation by showing why communications are escalated, documenting each level of review, and keeping human oversight in place.

Neural by Steeleye helps with audits

Auditable Assessment

Each escalation includes the risk score, trigger and reasoning, giving teams a clear basis for review and audit.

Neural by SteelEye means humans are still in the AI loop

Human Oversight

Compliance teams stay in control of review, escalation and final decisions, with AI supporting prioritisation rather than replacing oversight.

Configure your controls with Neural AI

Configurable Controls

Thresholds, processing limits and workflows can be configured around your firm’s governance model and surveillance priorities.

How Does Neural Alerting Prioritise Compliance Risk?

Neural Alerting uses agentic AI to reduce noise, escalate genuine risk and explain why alerts were prioritised, with thresholds set to your risk appetite.

Level 1: Initial Review

Agentic AI performs the first pass across communications, assessing context, language and potential risk indicators. Lower-risk items can be deprioritised, while communications that show stronger risk signals are escalated for deeper review.

Level 2: Senior Review

A second layer of analysis applies more detailed scrutiny to the escalated communications. This helps reduce false positives, test whether the risk is genuine, and create a more consistent basis for alert prioritisation.

Level 3: Strategic Review

The highest-risk communications are assessed for broader conduct, regulatory and compliance implications. This gives compliance teams a clearer view of which cases may require senior attention, enhanced oversight or further investigation.

Every level produces an explainable risk assessment, helping teams evidence why an alert was prioritised.

Steeleye AI Whitepaper Cover Image

Download Our AI White Paper

See how SteelEye helps compliance teams prioritise genuine risk before investigation, with AI-led surveillance intelligence built for explainability, control and scale. 

This short overview explains the three-level review model, risk scoring, audit trail and controls that help compliance teams reduce false positives without losing oversight.

See how Neural Alerting prioritises genuine risk

Award Winning Technology

Book a Demo

Find out why +200 financial services clients trust Steeleye with their record-keeping and surveillance requirements.

Frequently Asked Questions (FAQs)

What is Neural Alerting?

Neural Alerting is an AI and LLM-based communications surveillance capability that helps compliance teams prioritise genuine risk before investigation. It applies multi-level review to communications, helping reduce false positives while keeping human oversight and auditability in place. 

How does Neural Alerting reduce false positives?

Neural Alerting reviews communications through multiple levels of scrutiny before escalation. This helps compliance teams separate low-value alert noise from communications that show stronger indicators of conduct, compliance or regulatory risk.

How does agentic AI support communications surveillance?

Agentic AI supports communications surveillance by applying structured review logic across large volumes of communications. In Neural Alerting, initial, senior and strategic review levels assess context, risk indicators and escalation priority before investigation.

Does Neural Alerting replace compliance analysts?

No. Neural Alerting supports compliance teams by prioritising risk before investigation. Compliance teams remain in control of review, escalation and final decisions, with AI used to improve prioritisation without weakening oversight, auditability or control.

What is the difference between Neural Alerting and Compliance CoPilot?

Neural Alerting supports upstream risk triage before investigation, helping teams identify which alerts deserve attention first. Compliance CoPilot supports the investigation stage by helping teams create defensible investigation records while keeping compliance teams in control.