Your RSA-2048 keys break in 2030. Find every one of them before attackers do.
Develop›AI Threat Model

Threat modeling used to take a week. Now it takes minutes.

O3 reads your code, your APIs, your data flows, and your infra config — then generates a complete STRIDE threat model with ranked attack paths, risk scores, and ready-to-act mitigations.

Generate your first threat modelSee a sample output
< 10 minto full threat model
STRIDE + ATT&CKcoverage out of the box
Every committhreat model stays current
What you get

A complete threat model. Not a checklist.

O3 produces the same output a senior security engineer would write after a week of analysis — in the time it takes to make coffee.

STRIDE threat analysis

Every threat category mapped to specific code locations, API endpoints, and data flows in your application. Not generic theory — your actual attack surface.

Attack paths ranked by exploitability

Attack paths ordered by a composite score: how easy is it to exploit, what's the blast radius, and does your existing code already have a mitigation? The worst ones come first.

Actionable mitigations

Each finding comes with a specific mitigation — not "add input validation" but exactly which field, which function, and the code pattern to apply. Mapped back to your framework and stack.

Capabilities

Built for teams that ship fast and can't afford to guess.

Every piece of the threat modeling process — from data flow tracing to Jira export — automated and kept current.

Automated STRIDE analysis

O3 parses your codebase, API definitions, and infrastructure configs to classify threats across all six STRIDE categories — Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege — with specific evidence from your code for each.

MITRE ATT&CK mapping

Every threat is mapped to the MITRE ATT&CK framework so your security team can speak the same language as threat intelligence feeds, SOC analysts, and pentest reports — without manual cross-referencing.

Data flow diagram generation

O3 traces how data moves through your application — from entry points through services, databases, and external calls — and generates a structured DFD that forms the foundation of your threat model.

Risk scoring by exploitability

Attack paths are ranked by a composite score that factors in exploitability, impact, and the presence of existing mitigations in your code. High-noise, theoretical threats get deprioritized. Real, actionable risks surface first.

Auto-updates on code change

O3 re-runs on every meaningful commit. When new endpoints appear, data flows change, or infra config shifts, the threat model updates automatically and flags what changed in the threat surface — so it never goes stale.

Export to Confluence, Jira, PDF

Push the completed threat model directly to Confluence as a structured page, create Jira tickets for each finding, or export a PDF for compliance submissions. No copy-paste, no reformatting, no manual sync.

Always current

No more stale threat models.

Traditional threat models are written once, presented to compliance, and then forgotten in Confluence while the codebase changes underneath them. Within three sprints, the model is describing an application that no longer exists.

O3 re-runs its analysis on every meaningful commit. When a new endpoint appears, a new external service is integrated, or your infrastructure config changes, the threat model updates and surfaces exactly what shifted in your threat surface — so your model and your code stay in sync indefinitely.

Runs on every commit — not just at design time
Diffs the threat surface between versions
Alerts when new high-severity threats appear
Keeps compliance documentation current automatically
Threat model entry
UPDATED 4m ago

JWT algorithm confusion attack on /api/auth/token

STRIDE: Elevation of PrivilegeATT&CK: T1550.001
Risk score
8.2 / 10
Exploitability
High
Attack path
POST /api/auth/token→verifyJWT()→algorithm: "none"→admin session granted
Mitigation

Explicitly allowlist the expected algorithm in verifyJWT() using algorithms: ['RS256']. Reject tokens with alg: "none" before signature verification. See OWASP JWT cheat sheet §3.

STRIDE coverage — this codebase
SSpoofing
TTampering
RRepudiation
IInfo Disclosure
DDenial of Service
EElevation of Privilege

See your attack surface before attackers do.

Book a demo and let O3 map your threat model automatically across every service and data flow.

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FAQ

Questions,
answered.

Everything teams ask before rolling this out. Still stuck? Reach our team.

  • Traditional threat modeling involves a security engineer manually reviewing architecture diagrams, interviewing developers, and writing a structured analysis over days or weeks. AI-powered threat modeling, as O3 does it, automates that entire process: O3 reads your actual codebase, API definitions, and infrastructure config, traces data flows programmatically, and generates a complete STRIDE threat model with ranked attack paths and mitigations in under ten minutes. The key difference is that it's grounded in your real code, not a diagram that may already be out of date.
  • O3 re-runs its analysis on every meaningful commit to your codebase. When new endpoints are added, external services are integrated, or infrastructure configuration changes, O3 detects the change in threat surface and updates the model accordingly. It also generates a diff of what changed in the threat model between runs, so your team can see exactly which new threats appeared and which old ones were resolved, without needing to re-read the full document.
  • Yes. O3 maps every identified threat to both the STRIDE category (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege) and the corresponding MITRE ATT&CK technique. This dual mapping means your security findings can be cross-referenced with threat intelligence feeds, discussed in the same language as your SOC team, and included in compliance submissions that require ATT&CK coverage.
  • O3 analyzes your source code (all major languages supported), API definitions (OpenAPI/Swagger, GraphQL schemas), infrastructure-as-code (Terraform, CloudFormation, Kubernetes manifests), and network configuration. From these inputs it constructs a data flow graph, tracing how user-controlled input moves through your application, and runs a threat enumeration over that graph to produce the STRIDE analysis and attack paths.
  • Yes. O3 supports direct export to Confluence as a structured page with sections matching the STRIDE categories, to Jira as individual tickets for each finding (with severity, ATT&CK technique, and mitigation pre-populated), and to PDF for compliance submissions or stakeholder reviews. All three formats update automatically when O3 re-runs, so your Confluence page reflects the current state of your threat model without manual intervention.