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AIAI Everywhere - Always On

AI is not a feature.
It is how we think.

Every module - exposure management, AppSec, remediation, reporting - has AI working inside it. Not a chatbot bolted on top. The intelligence layer itself. And unlike every platform that claims AI, we never lock you into one vendor's model.

Model-agnosticPrivacy-firstLocal inferenceFull audit trail
Every other platform that claims AI locked you into their model. ThreatWeaver lets you choose yours - cloud, local, or fine-tuned - and uses it everywhere, not just in a chat window.
AI Core
AppSec
Threat Intel
Remediation
Reports
NL Queries
Analyzing attack surface...
AI calls / hr
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Always On
Intelligence Layer
The Problem with "AI Platforms"

A chat window is not AI integration.

Three ways the industry is getting AI wrong - and why ThreatWeaver is built differently from the ground up.

Locked into one vendor's model

Every platform that added AI forced you onto their model. Their cost. Their latency. Their data policies. Zero choice when a better model ships next quarter.

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model choice with most AI platforms

AI only lives in the chat window

A chat widget is not AI integration. Real intelligence means the scanning engine, the risk scorer, the report generator, and the remediation planner all think with AI - not just the sidebar.

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workflows typically touch AI in legacy tools

No control over where data goes

Security data flowing to unknown cloud AI endpoints is a risk in itself. Regulated teams need to know exactly what leaves the perimeter, what gets anonymized, and what stays fully local.

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data residency options in most tools
Where AI Works

Six active roles. Every single workflow.

AI doesn't sit in a sidebar waiting to be asked. It works inside every module, continuously, without being prompted.

AppSec

Attack Planning

Before Phase 4 agents run in AppSec, AI analyzes crawl output and generates a completely custom attack strategy for this specific target. No two assessments follow the same plan.

Crawl complete
AI-powered

Exploit Chain Discovery

Individual findings are inputs. AI connects them into ordered attack paths, generates a narrative of how an attacker would proceed, and maps each step to MITRE ATT&CK.

Enum
Weak Token
No MFA
Takeover
NLM

Natural Language Queries

Ask your vulnerability data anything in plain English. AI routes questions to the right handler, executes the query, and returns visualized answers - charts, KPI cards, data tables.

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Per-vuln

Remediation Guidance

Every vulnerability gets AI-generated fix instructions. Not a NVD link. A specific, actionable step: the exact code change, library version, or configuration update required.

Generating fix instructions...
One-click

Executive Reporting

AI generates board-ready risk narratives on demand - translating technical findings into business language: exposure trends, remediation velocity, compliance posture.

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Live

Threat Intel Synthesis

AI continuously interprets incoming threat intel - new CISA KEV entries, EPSS score changes, new exploits - and applies it to your environment, adjusting risk scores automatically.

Model-Agnostic + Privacy

Your model. Your rules.

Connect any cloud model via OpenRouter, run a local model for air-gapped environments, or fine-tune one for security tasks. Three data residency modes give you full control of what leaves your perimeter.

Data Residency

Best quality. Data anonymized before leaving your perimeter, then sent to your chosen cloud AI model.

Data flow: Cloud mode
Your Data
Anonymize
Cloud AI
De-anonymize
Result
AI Model Selection

Platform recommends. You decide.

ThreatWeaver suggests optimal models per task based on cost, speed, and capability - but the final choice is always yours. Individual users can also set personal providers alongside org-wide settings.

Attack planningGPT-4o / Claude Opus
Highest reasoning for custom strategy
Chain discoveryClaude Sonnet
Strong multi-step reasoning
Board reportsGPT-4o-mini
Fast, cost-efficient narrative
NL queriesLocal (Llama 3.1)
Air-gapped / regulated environments
Connect via OpenRouter - any cloud model, one API key
AI Assistant

Available on every page

The AI Assistant knows your environment: your assets, open findings, remediation history, compliance posture. It's not a general-purpose chatbot. It's a security analyst with perfect recall of everything ThreatWeaver knows about your organization.

Explain vulnerabilities in plain languageGenerate Jira ticketsWrite risk justificationsDraft board summaries
Explain CVE-2025-1234 to me in plain language
This is a path traversal vulnerability in nginx 1.24.x. An attacker can read files outside the web root by using ../ sequences. Your 3 affected servers are: web-prod-01, web-prod-02, api-gw-01. Patch: upgrade to 1.25.3.
Generate a Jira ticket for this
Ask anything about your environment...
AI Labs + WeaverNova

From reactive to predictive.

AI Labs powers forward-looking intelligence. WeaverNova acts on it autonomously. Together, they deliver security coverage that keeps up with your environment - not just with your schedule.

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Active AI roles across all modules
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Data residency modes for compliance
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AI decisions logged and auditable
0 days
Vulnerability CVE prediction horizon
WeaverNova

Autonomous Security Agent

WeaverNova monitors your security posture continuously and acts - triggering scans, adjusting schedules, raising alerts - without waiting to be told. Security coverage that adapts in real time.

AI Labs

Predictive intelligence, not just reactive detection

Three forward-looking capabilities that give security teams a response window reactive tools cannot provide.

Threat Forecasting
Predicts which vulnerability categories are likely to be exploited before a CVE is weaponized.
Predictive Vuln Intelligence
Predicts which packages in your fleet are likely to receive new CVEs in the next 90 days.
Zero-Day Early Warning
Monitors for PoC exploit code as it appears on GitHub - alerting you before NVD does.
Full Audit Trail

No black box. Every decision explainable.

Every AI call is logged: which model, which provider, whether sensitive data was anonymized, and where the answer came from. Export the full log for compliance review.

Model used per call
Provider and routing path
Anonymization applied
Response provenance
Export for compliance
AI Cost Visibility

Enterprise AI at enterprise scale - with cost control.

Organization-wide AI cost tracking by user, by module, by time period. Set spending policies and get alerts before costs become surprises.

AppSec assessments
68%
NL queries
45%
Executive reports
22%
Threat intel synthesis
35%
Always On

Your model. Your rules. AI everywhere.

Not a chatbot. Not a sidebar. Intelligence woven into every security workflow - model-agnostic, privacy-first, and fully auditable.

Cloud - Sensitive - Local Only - Full audit trail - Cost controls