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GROUNDED AI WORKFLOW LAYER

Grounded AI for security work
that has to be right.

ElectriCISO uses authoritative regulatory content plus your assessments, evidence, policies, risks, and findings to draft, explain, summarize, and guide work in context. The goal is faster progress with traceable answers, not generic chatbot output.

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7 Compliance Frameworks
10 AI Workflows
Cited Answers & Drafts
AI Copilot
AI Copilot responding with grounded citations
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Purpose-Built Capabilities
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Framework Assistants
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Grounded Knowledge Layer

AI Built for Security Teams, Not Generic Use

Ten distinct AI capabilities woven into every module — each purpose-calibrated for compliance accuracy, not general conversation. Grounded in authoritative regulatory data and your organization’s actual posture.

RAG-Powered Compliance Chat

7 dedicated framework assistants, each grounded in its regulatory corpus plus your organization’s data. Ask in plain English, get answers with clickable citations back to the actual rule text.

Semantic Search

Search by meaning across risks, meetings, policies, findings, and evidence. Ask questions in natural language, get relevant results regardless of wording.

Policy Generation

Transform requirements into structured, professional security policies with framework-aligned titles, outlines, and section-by-section drafting.

Risk Enrichment

AI identifies duplicate risks via semantic matching before they pollute your register. Three-signal detection — vector similarity, trigram title matching, keyword overlap — with confidence ratings (High/Medium/Low) for every flag.

Threat Intelligence Triage

A multi-signal algorithm scores every incoming threat for relevance and severity. Raw CVE bulletins and breach notifications are transformed into structured executive briefings with action steps and ready-to-import risk entries.

AI Interview Mode

A professional interviewer that explains the requirement, asks one question at a time, adapts based on your answers, and drafts a formal compliance response from your specific inputs — not generic boilerplate.

Incident Analysis

Real-time Perplexity Sonar search runs during active investigations, pulling current threat actor techniques, patch details, and CVE context directly into the incident chat — without leaving the platform.

Assessment Drafts

AI-generated formal assessment responses incorporating your answers, org context, gap analysis, and evidence suggestions.

Voice Input / Ramble Mode

Browser-based speech-to-text for all compliance chat interfaces. Speak your assessment answers naturally — no audio is ever sent to the server. Org-level toggle for privacy compliance.

CrossWalker Mapping Intelligence

CrossWalker evaluates overlap across 42 directed framework pairs using curated source material and human-review gates. The point is traceable reuse with provenance, not speculative mapping or blind automation.

The RAG Pipeline — From Question to Cited Answer

Every AI answer travels through a retrieval-augmented generation pipeline that simultaneously queries authoritative regulatory text and your organization’s own data — then merges, ranks, and cites the sources before a single word is generated.

1

Sanitize Input

Multi-pattern prompt injection detection. Hostile patterns replaced with [REDACTED], creating an audit trail.

2

Embed Question

Convert the user's question into a high-dimensional vector using a commercial embedding model.

3

Parallel Vector Search

Simultaneously query org-scoped chunks (your data) and global knowledge chunks (framework text) using pgvector cosine distance.

4

Structured SQL Queries

Pull recent findings, control status summaries, risk register items, and task data via direct SQL for precision.

5

Merge, Rank & Filter

Results ranked by similarity score, filtered by context constraints (control ID, assessment scope, meeting focus).

6

Assemble & Cite

System instructions + context sections + conversation history assembled into a grounded prompt. Response returned with clickable citation objects.

FERPA AI Assistant
FERPA AI Chat Assistant with compliance dashboard
24
Top Chunks Retrieved
Capped
Conversation History
Opt.
Context Windows
200
Char Overlap Window
Command Palette — Ctrl+K
AI Copilot command palette with search

One Search Bar.
Every Answer.

Press Ctrl+K from any page. Ask questions in natural language. The AI Copilot searches across risks, meetings, policies, tasks, compliance findings, and evidence in a unified vector space.

Scope Filtering

Focus results on specific domains: Risk Register, Tasks, Meetings, Policies, or individual compliance frameworks.

Relevance-Scored Sources

Every response shows numbered source documents with similarity scores, so you can verify exactly what the AI used.

Intelligent Routing

Queries about risk registers route to structured SQL for accuracy. Everything else goes through vector similarity for semantic precision.

A Dedicated AI for Every Framework

7 compliance modules, 7 specialized chat assistants. Each grounded in its own regulatory corpus, your assessment data, and your organization’s specific context — so the answer to “What does GLBA require here?” is always grounded in 16 CFR 314, not a generic summary.

FERPA

34 CFR Part 99

RAG chat, control-specific Q&A, explain & breakdown modes, AI interview, draft generation with maturity scoring.

6 Endpoints Knowledge Base

ISO 27001

Global + Org Knowledge

Dual-tier RAG with global corpus and org-specific data. Inline card enrichment, control and clause knowledge modals.

6 Endpoints Global Corpus

HIPAA

Security Rule

Review session chat, control-scoped Q&A with narrative + action items, AI-drafted stakeholder communications.

3 Endpoints Stakeholder Comms

GLBA

16 CFR 314

Versioned knowledge sources with active source management. RAG chat grounded in Safeguards Rule guidance.

3 Endpoints Versioned KB

PCI-DSS

v4.0

Review session chat with PCI-specific system prompts and control context for payment card compliance reviews.

1 Endpoint Session Chat

NIST CSF 2.0

6 Functions, 106 Subcategories

AI assistant grounded in the full NIST CSF 2.0 knowledge corpus. Four prompt types: implementation guidance, gap analysis, evidence recommendations, and tier-to-tier remediation planning.

4 Prompt Types Tier Mapping

CIS Controls 18

153 Safeguards, IG1/IG2/IG3

Safeguard-specific AI guidance grounded in the CIS Controls v8 knowledge corpus. IG-appropriate implementation steps, evidence recommendations, and common failure modes per control.

IG-Scoped Knowledge Base

From Compliance Requirement
to Published Policy in Minutes

Provide a summary statement, applicable scope, and core requirement. The AI generates a framework-aligned title, structured outline, and polished section-by-section draft — calibrated to your organization’s context and the applicable frameworks. Your team reviews and publishes.

1

Policy Brief

AI refines your summary into a professional title and description aligned with compliance naming conventions.

2

Structured Outline

Sections with summary bullets and required data points. Full guidance before a word of the policy is drafted.

3

Section-by-Section Drafting

Each section is drafted with numbered subsections, calibrated to your org's context and applicable frameworks.

4

Tag Suggestion

Framework tags (HIPAA, GLBA, ISO 27001, NIST, PCI-DSS) and topic tags auto-suggested with reasoning.

Policy Center
Policy Center with AI-powered creation and management
HIPAA ISO 27001 GLBA NIST PCI-DSS

The Knowledge Pipeline

Authoritative regulatory content flows from curated corpus files through specialized ingestion scripts into PostgreSQL knowledge tables, then into vector storage for real-time retrieval.

Corpus Files

Markdown & JSON regulatory source material

Knowledge Tables

Structured sections with 7-type taxonomy

Vector Storage

pgvector embeddings for semantic search

Section Type Taxonomy

Section Type Storage Description
plain_explanation Prose Human-readable explanation in clear language
evidence JSON Array Evidence items auditors expect to see
audit_questions JSON Array Questions an auditor would ask
technical Prose Technical implementation guidance
key_points JSON Array Critical implementation points
common_failures JSON Array Frequently observed compliance failures
scoring Prose Maturity scoring and rating guidance

Purpose-Built Prompt Engineering

Five distinct prompt engineering patterns calibrated for compliance accuracy, not generic conversation.

Structured JSON Output

Policy generation, risk intake, and threat summarization use OpenAI's JSON mode with exact schema definitions. Multi-stage fallback parser handles markdown-wrapped responses.

Signal-Block Protocol

Interview mode uses custom delimiter-based protocol: narrative response + machine-readable metadata (readyToDraft, questionsRemaining, evidenceNeeded) in a single completion.

Narrative + Action Items

Incident responder separates conversational analysis from actionable task lists using delimiter markers, enabling structured task extraction.

Context Injection

Every chat endpoint injects org name, institution type, current control status, and recent findings into system messages for grounded responses.

Temperature Calibration

Calibrated low-temperature settings for consistency. Each task category — policy generation, risk intake, compliance chat — is individually tuned for accuracy. Every endpoint optimized for its purpose.

Multimodal Vision

When image evidence is attached to incidents, the system automatically switches to GPT-4o's vision model for screenshot and document analysis.

Differential RAG Indexing

Without: Naive Re-Embedding

Every sync cycle re-embeds all 500 records. Wasted API credits, increased latency, unnecessary database churn.

With: Content Hash Tracking

SHA-256 digest of embeddable text. If hash matches, skip entirely. Only 50 changed records embedded — 10x cost reduction.

1. Build text representation
2. SHA-256 hex digest
3. Compare to rag_content_hash
4. Match? Skip. Differ? Embed + update hash

Embed Only
What Changed

When external sources like ConnectSecure sync periodically, a naive approach re-embeds every record on every cycle. Differential indexing uses SHA-256 content hashes to skip unchanged records, cutting API costs by 80-90%.

10x
Cost Reduction
SHA-256
Content Hashing
3
Source Types Tracked
Auto
Orphan Cleanup

AI Security by Design

Every AI interaction is protected by layered security: prompt injection detection, input sanitization, output validation, rate limiting, and encrypted key management.

Prompt Injection Defense

A dedicated input sanitization pipeline detects and neutralizes multiple categories of prompt injection patterns. Detected patterns are replaced with [REDACTED] to create an audit trail.

Role hijacking Instruction override System reveal XML injection Context overflow

Input Sanitization

Every AI endpoint validates inputs with structured validators. Messages and conversation length are capped to prevent abuse. No system role injection possible.

Message length cap Conversation cap Role restriction Enum validation

Output Validation

AI responses are parsed through multi-stage validators. Risk update changes pass through field-level sanitization with allowed value enforcement. Malformed JSON triggers errors, not pass-through.

Multi-stage JSON parser Field-level sanitization Enum whitelisting

Rate Limiting & Key Management

Per-organization rate limiting on all AI endpoints. Per-org encrypted API keys (AES-256-GCM). Keys never returned in API responses or logged. Per-org cost attribution.

Per-org rate limits Encrypted storage BYOK support

Three Models. One Orchestra.

The right model for every task. Cost-optimized routing ensures you never pay more than necessary while maintaining quality where it matters.

Commercial LLM

PRIMARY MODEL

All compliance chats, policy generation, risk intake, assessment drafts, and meeting analysis. Fast, accurate, cost-effective.

Calibrated low-temperature settings
Optimized context windows

Embedding Model

EMBEDDING MODEL

All vector embeddings: risks, meetings, knowledge, findings, evidence, assessments, tasks, and integration data.

High-dimensional vector embeddings
Optimized batch processing

Vision-Capable LLM

VISION MODEL

Activated only when image evidence is attached to incident response chats. Multimodal analysis of screenshots and documents.

Calibrated low-temperature settings
Supports PNG, JPEG, GIF, WebP

Search-Augmented AI

Real-time web-grounded threat intelligence using search-augmented AI models. Automated and manual research tiers with citation passthrough.

Live Search Citations

AI-Powered Command Center

Every KPI, every chart, every alert on the dashboard is fed by the same intelligence layer. Real-time exploitation alerts, risk distribution, task status, and threat watch — all in one view.

Security Dashboard
ElectriCISO Security Dashboard with AI-powered KPIs and alerts

Why This Is Not Just Another Chatbot

Grounded in Regulatory Text

Not generic internet knowledge. Answers sourced from 34 CFR, 16 CFR 314, ISO 27001 Annex A, HIPAA Security Rule, and PCI-DSS v4.0.

Your Org's Context

Every response incorporates your assessment status, risk register, meeting notes, policy library, and actual compliance posture.

Citations, Not Claims

Every AI response includes numbered source documents with relevance scores. Verify exactly what the AI used to form its answer.

Tenant-Isolated AI

Per-org rate limits, encrypted BYOK API keys, RLS-scoped vector storage. Your data never mingles with another organization's.

AI That Knows Your Org.
Not Just the Regulations.

Generic AI gives you generic answers. ElectriCISO gives you answers grounded in your regulatory requirements, your current assessment status, and your organization’s actual posture — with citations you can click.

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