Agentic AI builders
Model tool use, memory, identity, delegation, egress, approval manipulation, multi-agent propagation, and shutdown.
Who this is for
Systems where a missed boundary becomes an operational event.
The engagement is designed for teams whose software can invoke tools, move through privileged environments, influence essential services, or affect physical processes. The objective is not a longer report. It is a model tied to actual architecture and decision authority.
Critical infrastructure
Map IT/OT convergence, isolation, independent operation, degraded modes, recovery dependencies, and severe disruption paths.
Cyber-physical platforms
Include sensors, actuators, communications, OTA updates, maintainers, software supply chains, and safety consequences.
Regulated organizations
Produce reviewable evidence, named ownership, residual-risk decisions, approval records, and reproducible validation.
Security leaders
Replace disconnected workshops with an operating model triggered by architecture, identity, dependency, and runtime change.
Platform engineering teams
Integrate threat-model changes into design review and CI without giving an AI system authority over production.
Engagement sequence
Evidence first. Automation second. Authority last.
Each stage has an explicit output and review gate. High-impact validation or proposed production changes cannot advance on model confidence alone.
01
Authorize
Define ownership, scope, prohibited targets, data handling, and approval authority.
02
Discover
Build the architecture, identity, dependency, permission, and flow graph with provenance.
03
Analyze
Apply STRIDE, MAESTRO, attack trees, and domain-specific safety analysis.
04
Validate
Test approved defensive hypotheses in isolated, ephemeral environments.
05
Operationalize
Assign controls, owners, approvals, evidence, recovery, and continuous update triggers.
Control design
The modeler must not manufacture its own authority.
Autonomous threat modeling creates a sensitive new control plane. ClearGlass separates discovery, reasoning, validation, approval, execution, and audit so one compromised component cannot silently authorize a consequential action.
Architecture provenance
Every component, flow, and trust assertion is linked to source evidence, timestamp, revision, and confidence.
Deterministic invariants
Authorization, risk routing, safety constraints, and prohibited actions are enforced outside the language model.
Isolated testing
Validation uses bounded environments, synthetic or sanitized data, explicit cleanup, and no unapproved production route.
Four-eyes control
The requester cannot approve their own high-impact mitigation, access change, detection deployment, or physical action.
Tamper-evident evidence
Model versions, prompts, tools, findings, tests, approvals, denials, and residual risks remain replayable.
Halt and rollback
The operating design includes abstention, shutdown, degraded modes, credential revocation, and trusted-state recovery.
Scope clarity
Defined deliverables. Explicit exclusions.
A credible security engagement states what it will not do. ClearGlass keeps autonomous analysis defensive, authorized, and separated from consequential execution.
Included
- Architecture and evidence inventory
- Threat and abuse-case analysis
- Attack-path prioritization
- Agentic AI and cyber-physical extensions where applicable
- Control mapping and ownership
- Approval and audit architecture
- Continuous-modeling roadmap
- Sanitized pilot design
Not included without a separate authorization
- Testing systems the client does not own or control
- Destructive payloads, persistence, credential theft, or evasion
- Unbounded autonomous red teaming
- Production exploitation
- Automatic deployment of high-impact controls
- Payment, safety, or physical actuation
- Claims of complete coverage or zero residual risk
Technical foundation
Review the architecture before the engagement.
The flagship exploration defines the 2026 operating model. The reusable multi-agent prompt provides the defensive role system, output contract, quality gates, and authorization boundaries used to structure a pilot.