NEWWeaverScan · 50+ AI attack agents in productionRead →
One AI-native platform.
For the entire security lifecycle.
ThreatWeaver replaces fragmented point tools with a unified system that finds threats, assesses applications, scores real risk, plans remediation, and automates the work. AI woven into every workflow. Your choice of model. Your data stays yours.
Trusted by 200+ security teams
SOC 2ISO 27001HIPAAPCI-DSS
threatweaver › live_feed
Live
Ingested
12,847
+12.4k/d
Triaged
847
+2.1k/d
Actionable
47
WeaverScore > 70
CVE-2024-1086CVSS 7.8
nf_tables use-after-free priv esc
asset: k8s-worker-3f2a · 20s ago
72
● jira ticket
CVE-2024-27198CVSS 9.8
TeamCity auth bypass
asset: admin.internal.corp · 16s ago
90
● jira ticket
CVE-2024-23897CVSS 9.8
Jenkins arbitrary file read
asset: data-lake-ingest · 12s ago
85
● jira ticket
CVE-2024-0519CVSS 8.8
V8 out-of-bounds memory access
asset: stripe-webhook-7 · 8s ago
78
● prioritized
CVE-2024-6387CVSS 8.1
OpenSSH regreSSHion RCE
asset: auth-svc-eu-west-2 · 4s ago
88
● prioritized
CVE-2024-3094CVSS 10.0
XZ Utils backdoor (liblzma)
asset: prod-api-gateway-01 · 0s ago
92
● triaging
WeaverScore
94/100
MTTR
↓ 40 days
Scroll
The Reality
Your team is buried.
Your risk is invisible.
The average enterprise runs 5 to 7 security tools. Each one has its own dashboard, its own severity scale, and its own ticket queue. None of them agree on what to fix first.
threatweaver_engine.proc
24h · all sources
Raw findings
0
across 7 scanners
Actionable
0
WeaverScore > 70
WEAVER
SCORE
Log4Shell · ProxyNotShell · MOVEit · Citrix Bleed · Shadow IT · Misconfigurations> Jira · ServiceNow · PagerDuty
5–7
Security tools per enterprise
Tool Fragmentation
Each scanner has its own dashboard, severity scale, and ticket queue. None agree on what matters most.
0K+
Findings per quarter
Alert Fatigue
Analysts spend 73% of their time triaging noise. Findings that will never be exploited in the wild drown the ones that matter most.
0 d
Average MTTR
Slow Remediation
Attackers move in hours. Spreadsheet based tracking reports in weeks. The gap is where breaches happen.
The Platform
Three integrated modules. One security operating system.
Built AI first from day one. No chatbot bolted onto a legacy product. Every module shares data, context, and intelligence.
50+
AI attack agents
100+
Integrations
11
Phase lifecycle
7
Risk score factors
Module 1 · GA
Exposure Management
Attack Surface Management + WeaverScan + VFP + NLM.
A living model of your attack surface. Attack Surface Management continuously discovers external assets, shadow IT, and subsidiary exposure. WeaverScan ingests from every scanner you already own and normalizes into one unified risk record. VFP scores with a 7-factor composite and runs the full 11-phase remediation lifecycle. NLM answers any security question in plain English.
What's inside
- Attack Surface Management - external asset, shadow IT, and cloud discovery
- WeaverScan native + ingestion from every major VM, CNAPP, EDR, and SAST/SCA scanner
- 7-factor composite risk score (CVSS, EPSS, Exploit Maturity, KEV, VPR, Asset Criticality, Age)
- Work packages, campaigns, 11-phase lifecycle, SLA engine
- Natural Language Mode - ask plain-English security questions
- Compliance automation: PCI-DSS, SOC 2, HIPAA, ISO 27001
7
Score factors
11
Phase lifecycle
NLM
Plain English
Module 2
AppSec
AI-powered application security assessment.
Not a signature based scanner. A swarm of specialized AI agents that plans an attack strategy, validates every finding through 6 independent methods, and connects vulnerabilities into the real-world exploit chains an attacker would use.
What's inside
- 50+ AI attack agents across a 6-phase pipeline
- Black box, gray box, and white box testing
- Multi-layer validation (near-zero false positives)
- Exploit chain discovery with MITRE ATT&CK mapping
- CI/CD integration (GitHub Actions, GitLab CI, webhooks)
50+
Agents
6
Phases
3
Test modes
Always on
AI Everywhere
Model-agnostic intelligence woven into every workflow.
AI is not a chatbot. It is the platform. A model-agnostic intelligence layer powering attack planning, chain discovery, query routing, context enrichment, and remediation. Your choice of cloud model via OpenRouter, or run local inference for air-gapped deployments.
What's inside
- Cloud AI via OpenRouter (any supported model)
- Local inference for air-gapped and regulated environments
- 3 residency modes: cloud, sensitive, local only
- PII anonymization before every cloud call
- Full audit log of every AI interaction
Any
Cloud model
Local
Inference
3
Residency modes
Findings from AppSec flow into Exposure Management. VFP plans remediation. AI generates the fix.One data model. One workflow.
WeaverScore™
One number that tells you exactly where you stand.
CVSS scores a vulnerability in isolation. WeaverScore scores your actual risk - accounting for your environment, your assets, and the real-world threat landscape. This is what AI-native means.
WeaverScore
0
/ 100
Low Risk
1
CVSS Base Score
Foundational severity from the NVD.
High
signal
2
EPSS Score
Empirical probability of exploitation in the next 30 days.
High
signal
3
Exploit Maturity
Is a working exploit publicly available, weaponised, or in the wild?
High
signal
4
CISA KEV
Listed in the Known Exploited Vulnerabilities catalogue.
High
signal
5
VPR
Vulnerability Priority Rating - threat-intel weighted severity.
Medium
signal
6
Asset Criticality
How business-critical is the affected system?
Medium
signal
7
Age & Urgency
How long the finding has been open versus SLA policy.
Balanced
signal
“
WeaverScore gave our board a single number they could track. That alone justified the investment.
NF
CISO
NovaTech Financial
AI Labs
Research that ships into your platform.
Four research surfaces where our team is pushing the AI-for-security frontier - all of it flows back into the platform customers already use.
Emerging risk modelling
Threat Forecasting
Forecasts which threat actors and TTPs are most likely to target your industry, region, and tech stack - weeks ahead of headlines.
Exploit likelihood
Predictive Vulnerability Intelligence
Ranks open findings by the probability of being weaponised in the next 30 days - so remediation queues anticipate attackers, not react to them.
Pre-disclosure signal
Zero-Day Early Warning
Monitors chatter, PoC repositories, and adversary telemetry for novel exploitation activity - alerting before a CVE is ever assigned.
Autonomous research agent
WeaverNova
Our in-house research agent - explores net-new attack techniques, validates defensive hypotheses, and feeds findings back into the core platform.
Labs output ships back into the product · No separate SKU required
Privacy-First AI
AI that understands your risk without ever seeing your data.
Most AI security tools send your data to third-party cloud models. ThreatWeaver's AI runs locally - your findings never leave your perimeter. That's not a feature. That's a principle.
0 bytes external
tw-engine · local inference · 0 external calls
$ tw inference --route finding-12847
→ routing to local model (on-prem)
→ context: 4 scanners · 12,847 assets
→ WeaverScore calculated: 91
✓ 0 bytes transmitted externally
✓ privacy audit: PASS
Latency: 42ms · Model: tw-secllm-v4.2
0%
Local model execution
AI inference runs on-premises or in your private cloud.
0
PII sent externally
CVE data, asset inventory, remediation history stay with you.
0
Prompt-injection patterns blocked
Built-in adversarial protection against AI manipulation.
How We Compare
Built for the AI era. Not patched for it.
Legacy exposure-management and CNAPP suites are great tools - built before AI existed at the infrastructure level. ThreatWeaver was designed from day one around an AI core.
Capability
ThreatWeaver
Legacy VM
CNAPP
Scanner Suite
AI-native architecture (not retrofitted)
Full external attack surface discovery
Partial
Cloud only
Partial
Dark web + adversary tracking
Partial
Single synthesised risk score (WeaverScore)
Privacy-first local AI inference
SMB self-serve plan
Compliance automation bundled
Add-on
Add-on
Add-on
Based on publicly documented capabilities as of Q1 2026 · Vendor names belong to their respective owners
Getting Started
From blind spots to full visibility in under 48 hours.
01
Step 1
Plug in your existing scanners
Native API integrations surface findings like Log4Shell, ProxyNotShell, MOVEit, Citrix Bleed, ransomware toeholds, and shadow-IT exposure. No agents, no rip-and-replace.
02
Step 2
Let the engine triage and score
ThreatWeaver ingests, deduplicates, runs WeaverScore on every finding, and surfaces your top risks within hours.
03
Step 3
Fix the right things, in order
Automated tickets in Jira or ServiceNow. Remediation guidance, SLA tracking, closure verification.
4 hours
Time to first prioritised finding
None
Professional services required
SOC 2 certified
Infrastructure
Platform Impact
The numbers security leaders care about.
Aggregate platform data from 200+ enterprise deployments across healthcare, fintech, and SaaS.
False positives
0
%
Reduction in false positives from deduplicated, correlated, context-enriched findings.
Triage velocity
0
×
Faster triage from raw scanner output to ranked, actionable list.
MTTR reduction
0
days
Average mean-time-to-remediate reduction across 200+ enterprise deployments.
Based on aggregate platform data · Individual results may vary
30-minute demo · No commitment
Ready to see your real risk?
Schedule a 30-minute demo. We'll run a live WeaverScore against a sample of your attack surface - no commitment, no sales pressure.
No credit card requiredLive environment in 48 hoursSOC 2 Type II certified