Most cyber graphs explain internal exposure, and most TPRM platforms score vendors; Torgen explains PHI custody risk by turning fragmented public breach evidence into a source-grounded graph of who held the data, what failed, which products and campaigns were involved, who was downstream, and what remediation should be prioritized.

Torgen is an evidence-linked cyber risk intelligence graph for organizations that handle PHI. It transforms fragmented public breach disclosures, regulatory filings, legal records, vendor notices, threat intelligence, and dark-web signals into a source-grounded map of data custody, vendor dependency, campaign exposure, control failure, and remediation priority.

The opportunity is a source-grounded PHI custody / breach-event graph that converts messy public evidence into actionable vendor, product, vulnerability, campaign, and remediation relationships.

The third-party / cascading-risk thesis is also strong. Black Kite’s 2026 third-party breach report says it analyzed 136 verified third-party breach events and found an average of 5.28 downstream publicly compromised companies per breached vendor, plus long disclosure delays. That supports your premise that organizations need better visibility into upstream vendor and fourth-party exposure.

Most cyber graphs explain internal exposure, and most TPRM platforms score vendors; Torgen explains PHI custody risk by turning fragmented public breach evidence into a source-grounded graph of who held the data, what failed, which products and campaigns were involved, who was downstream, and what remediation should be prioritized.

Torgen is an evidence-linked cyber risk intelligence graph for organizations that handle PHI. It transforms fragmented public breach disclosures, regulatory filings, legal records, vendor notices, threat intelligence, and dark-web signals into a source-grounded map of data custody, vendor dependency, campaign exposure, control failure, and remediation priority.

Built from structured analysis of real-world breach events, Torgen Graph provides evidence-linked context for security teams to validate findings, trace hidden relationships, and triage the risks that matter.

Torgen’s opportunity is to connect these into a leader-facing graph that shows how product/vendor risk becomes breach impact, mitigation opportunity, and liability exposure.

Independent cybersecurity benchmarks show that leading LLMs still miss roughly 1 in 8 broad cyber tasks, while performance can fall below 30% on deeper vulnerability-analysis tasks and degrade further when retrieved context is incomplete or irrelevant.

The Attack Surface Has Changed

AI is changing how attackers discover, combine, and exploit weaknesses across systems, vendors, and informal workflows

The risk is not any single exposure — it is how these exposures connect

Most tools see assets.
Torgen maps relationships.

Conventional security tools surface isolated findings. Torgen connects them into risk patterns across systems, vendors, data, identity, and controls

Graph intelligence reveals hidden risk patterns between systems

Torgen maps real-world breach events — organizations, actors, tools, tactics, vectors, and vendors — as structured knowledge to improve accuracy in identifying and prioritizing AI-amplified business risks

What Torgen Helps You Find

Torgen connects these signals into a graph of material risk — showing how isolated exposures become attack paths

Find the risk patterns your current tools were not built to see

AI-amplified risks are accelerating across systems, vendors, identity, controls, and shadow workflows.

 See where similar exposure chains may already exist in your environment

Currently offering private graph walkthroughs and advisory pilots for security leaders exploring AI-amplified risk