Trident field guides
Security concepts, connected.
Source-backed guides for teams evaluating AI pentesting, continuous security testing, and cloud attack paths. Each guide separates established practice from product claims, defines the evidence to ask for, and links directly to primary standards and platform docs.
AI penetration testing
What AI can automate, what still requires human judgment, and how to evaluate the evidence behind a finding.
- Pentesting with AI
- Exploit validation
- Rules of engagement
Cloud attack path analysis
How exposure, identity, policy, and data relationships combine into reachable paths—and where to break them.
- IAM reachability
- Choke points
- Toxic combinations
Continuous penetration testing
A practical model for retesting after meaningful changes without confusing continuous testing with continuous scanning.
- Continuous security
- Retesting
- Evidence lifecycle
What makes security evidence useful?
It is scoped. The target, authorization, test boundaries, and stop conditions are explicit.
It is reproducible. A reviewer can trace the affected asset, preconditions, request, response, and observed impact.
It is connected. Findings show the identity, policy, network, application, and data relationships that make impact reachable.
It expires honestly. Evidence records when it was produced and which change should trigger a retest.