AI-Native Threat Intelligence Platform

The TIP That Computes
What Threats Mean for You

No more hand-triaging feeds. Adversarix scores each threat against your infrastructure, proves the exposure through simulation, and delivers a ready-to-act advisory in minutes, not days.

adversarix · ai-native threat intelligence
$ adversarix analyze --target prod-environment
[INGEST] Parsing 12 threat feeds... ✓
[TRIAGE] Scored 847 indicators → 23 high-relevance
[SIMULATE] Running polymorphic attack chain simulations...
  → 5 polymorphic mutation strategies applied
  → 142 unique kill chain variants generated
[DETECT] 3 coverage gaps identified in EDR rules
[RESULT] P_breach: 0.034 (95% CI: 0.021–0.048)
[ADVISE] Prioritized advisory delivered → Sigma rules + remediation steps
  → End-to-end: 43.2 seconds | No human initiation
The Problem

The Relevance Gap

Two hundred advisories were published today. Your team’s job is to figure out which three matter to your environment, by hand, before anything downstream can start. Legacy TIPs collect and enrich against the world, not against you.

71%

of security leaders expect AI-driven attacks in 2026

< 4 hrs

average time from AI-generated exploit to first breach attempt

300%

increase in automated attack campaigns since 2024

The Gap: No incumbent TIP can tell you what a threat means for your environment, because none of them model your environment. The only question the business asks of the threat-intel budget, does this matter to us, goes unanswered.

The Solution

The Reasoning Layer for Threat Intelligence

Legacy TIPs tell you what’s out there. Adversarix computes what it means for you: every new threat scored against your actual infrastructure, simulated across polymorphic attack paths, and delivered as a prioritized advisory in minutes, not days.

Relevance, Computed

Every threat is scored against your real environment (CMDB, SIEM, and EDR state in the Adversarix Threat Knowledge Graph), not against a generic severity model.

Exposure, Verified

Simulation turns “might affect you” into a verified gap. Coverage claims are tested, not asserted: the difference between a vendor's word and computed proof.

Action-Complete

The output isn't a feed or a report. It's a prioritized advisory with specific detection rules, remediation steps, and compound risk analysis.

The Pipeline

How It Works

From raw threat intelligence to a validated, prioritized advisory — autonomous AI agents, zero human initiation.

01

INGEST

Ingestion Agent parses live feeds, resolves entities via LLM-powered extraction from 12+ threat intelligence sources.

02

TRIAGE

Triage Agent scores relevance to YOUR infrastructure — only high-value, contextually relevant threats proceed.

03

SIMULATE

Simulation Agent runs polymorphic attack chain simulations across your infrastructure — fully autonomous.

04

DETECT

Detection Agent maps gaps in your SIEM, EDR, and NDR coverage. Generates Sigma rules for blind spots.

05

ADVISE

Advisory Agent delivers prioritized remediation with Sigma rules, SPL queries, and specific detection guidance.

45 seconds from CVE publication to actionable advisory
Core Technology

Polymorphic Attack Chains

Real attackers don't follow a script. They adapt, pivot, and mutate. Adversarix generates every viable variant of an attack chain — not just the textbook path.

Five Mutation Strategies

Vuln-First

Anchors kill chains on confirmed CVEs in your environment. Prioritizes paths that weaponize known, unpatched vulnerabilities.

TTP-Rotation

Swaps equivalent ATT&CK techniques at each stage. Models attackers who vary tooling to evade signature-based detection.

Actor-Emulation

Constrains mutations to the known TTP repertoire of a specific threat group like APT29 or LockBit.

Evasion-Optimized

Selects technique variants that minimize detection probability. Finds the paths your SIEM/EDR stack is most likely to miss.

Lateral-Expansion

Maximizes blast radius from a given entry point. Models how attackers spread across network segments to reach high-value targets.

Why This Matters

78%

of real-world breaches used technique variants not in the original threat intel report

+34%

average increase in attack chain success rate when polymorphic variants exploit unpatched CVEs

5x

more attack paths discovered vs. static playbook simulation — exposing hidden blind spots

5 polymorphic mutation strategies · Bayesian updating from live threat intelligence · Infrastructure-specific risk context
Competitive Edge

Why Adversarix

Every vendor answers a question. The question defines the value ceiling.

Legacy TIP
What's out there?

Aggregates and enriches threats; relevance is the analyst's job.

Vulnerability Management
What's unpatched?

Identifies CVEs but doesn't validate exploitability.

BAS / Pentest
Can this attack succeed?

Tests specific paths, disconnected from live intel.

Threat Hunting
Where should I look, and for what?

Hypotheses derived manually from reports and ATT&CK matrices.

Adversarix

“What’s coming for us, how would it play out, where are we blind, what should we hunt, and what do we do about it right now?”

Legacy TIPBAS / PentestAdversarix
Relevance to your environment
Generic severity, world-scored
Not intel-driven
Computed against your infrastructure
Environment model
None
Scan snapshot
Live Threat Knowledge Graph
Exposure validation
Asserted, not tested
Point-in-time exploitation
Verified via simulation
Attack Modeling
Enrichment only
Pre-defined chains
Polymorphic attack chains
Output
Enriched feed / report
Technique count
Prioritized advisory + detections
Relevance triage
Manual analyst work
Not applicable
Autonomous
Human Initiation
Required
Required
Zero, fully autonomous

Feed-agnostic by design: Adversarix competes on computation, not collection. Keep Recorded Future, Intel 471, your ISAC feeds; Adversarix ingests them all and computes relevance, exposure, and action against your infrastructure, the layer the incumbents structurally cannot build. Three patented technologies protect the reasoning core: a Bayesian attack-graph engine and simulation framework built on 12,000+ labeled threat-intelligence training examples.

Stop Triaging.
Start Deciding.

Relevance, computed. Exposure, verified. Action, complete. From any threat feed to a prioritized advisory, in minutes, not days.