Cybersecurity Firm Experiences 20%+ Increase in CSAT Using Implicit's AI Platform For Incident Response

Industry

Cybersecurity

Services

Cybersecurity

Enterprise AI Integration

Support Workflow Design

Approach

"Walled Garden" AI solution to transform raw alerts into curated, context-rich summaries delivered directly to Customer Success Consultants.

How to Enhance Cybersecurity Products and Services with AI

When cybersecurity incidents strike, speed and precision are non-negotiable - but so is the human connection. For one global cybersecurity firm, every alert meant high stakes and high pressure, where Customer Success Consultants (CSCs) had to deliver expert guidance fast. But manual triage was slowing them down. That’s where Implicit stepped in. By implementing Implicit’s AI-powered pre-processing, the firm streamlined incident intake without sacrificing white-glove service, giving CSCs everything they needed to act confidently, respond faster, and maintain the personal touch their clients depended on.

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THE CHALLENGE

A global cybersecurity firm had a well-established protocol: when an incident (such as a vulnerability, attack, or breach) was detected, an automated email alert was triggered and sent to the assigned CSC. These alerts marked high-stakes moments where rapid, accurate, and human-led responses were essential. The company intentionally avoided chatbot deflection for these interactions, viewing personal consultation as a core value-add.

However, while the human-first approach was non-negotiable, the process lacked structure and efficiency. Consultants often had to parse long documents, triage internal sources, and piece together incident context manually—all while under pressure. The organization needed a way to enhance the speed, consistency, and accuracy of how incident data was prepared and handed off, without replacing the human touch.

THE SOLUTION

AI-Powered Incident Pre-Processing with Implicit

To improve speed and quality while preserving white-glove service, the company implemented Implicit’s AI Platform to handle the pre-processing of incident data - transforming raw alerts into curated, context-rich summaries delivered directly to Customer Success Consultants.

How It Works: Technical Depth Matters

At the moment an incident is detected:

  1. Event is Triggered
    Security systems detect a breach, threat, or anomaly and prepare an automated email alert for the CSC.

  2. Implicit Pre-Processing Begins (Before Email is Finalized)
    Implicit intercepts the alert pipeline and immediately begins enriching the report.

  3. Product + Situation Taxonomy Preloaded
    Implicit uses a preloaded, domain-specific Product and Situation Taxonomy to classify and contextualize the incident. This step allows the system to understand what product is involved and what kind of issue occurred, enabling highly relevant knowledge retrieval.

  4. Knowledge Graph Construction
    Implicit maps the classified incident to a curated Knowledge Graph that connects:

    • Relevant sections of documents (not full documents)

    • Specific product models and configurations

    • Known issues and resolutions

    • Past similar incidents and fixes

  5. Graph + Vector Hybrid Querying
    Implicit performs a Graph Query to retrieve semantically related nodes (e.g., known fixes, configs, warnings). This is then refined by a Vector Query to pinpoint the most contextually relevant passages, down to the specific paragraph or step in a manual.

  6. Walled Garden of Curated Content
    Critically, Implicit limits its retrieval to a curated, high-confidence content set - a “walled garden” of vetted documentation, support articles, and ticket data. This ensures:

    • Accuracy: No hallucinations from unrelated or unreviewed sources

    • Efficiency: CSCs only see what matters

    • Control: Knowledge teams retain visibility into what powers each answer

  7. Incident Summary Delivered to CSC
    The resulting email alert is automatically enriched with:

    • A concise AI-generated hypothesis about the root cause

    • A proposed resolution path or workaround

    • Contextual references to specific docs or past incidents

The CSC receives everything they need in a single view—arming them with the insight to act confidently and communicate effectively with the client.

RESULTS

The integration of Implicit’s AI-powered pre-processing has transformed how the cybersecurity firm manages real-time incident response—without compromising the human connection.

  • 91%+ Accuracy in Recommendations
    Implicit’s domain-specific approach consistently delivered 91%+ accuracy, with recommendations that mirrored what senior consultants would derive themselves - 3x more accurate than baseline LLMs.

  • 20%+ Increase in CSAT During High-Severity Events
    Clients noted faster response times, deeper context, and more relevant solutions. CSCs could focus on client communication instead of internal triage—boosting satisfaction by over 20%.

  • 10%+ Increase in First Contact Resolution (FCR)
    With richer pre-processing, CSCs resolved more incidents in the first interaction—reducing unnecessary follow-ups and lowering time-to-resolution.

  • Faster Ramp Time for New CSCs
    Less experienced consultants benefited immensely from the AI-generated summaries and guidance, leveling the playing field and shortening time-to-productivity.

  • Enhanced Human Touch, Powered by AI
    The firm preserved its white-glove service model, now enhanced by behind-the-scenes AI that delivered expert-level guidance—fast, accurate, and invisible to the client.

Scalable Expertise Without Scaling Headcount

By encoding tribal knowledge into a reusable, AI-powered system, the company created a repeatable, scalable way to deliver expert support—no matter who’s on call.

Why Simpler GenAI Solutions Weren’t Enough

Many software, technology, or vendors offer generic RAG pipelines using LLMs and vector search - but Implicit goes several steps deeper:

  • Taxonomy Preloading ensures domain-specific understanding of incidents

  • Graph Queries enable intelligent retrieval from product-aware knowledge structures

  • Vector Queries refine results based on context and relevance

  • Walled Garden Curation ensures every answer is trusted, relevant, and controlled

These additional layers aren’t nice-to-haves. They’re essential to delivering precision, speed, and credibility in high-stakes environments like cybersecurity.

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