IntegraForge — continuous adversarial validation.
Use agentic planning, parallel execution and evidence-based evaluation to simulate approved attack paths and continuously validate whether controls work as intended.
What this capability solves
Agentic continuous adversarial validation and proactive security automation platform for controlled attack simulation and measurable resilience testing.
Advice, controls, technology, governance, evidence and operating procedures are designed together so the capability can be sustained after implementation.
Capability model
The service can be scoped as a focused engagement or combined into a broader enterprise programme.
Agentic Attack Planner
Plan authorized attack sequences from scope, target context, objectives and allowed techniques.
Executor Pool
Run approved test vectors in parallel with rate, safety and scope controls.
Evaluation Engine
Score exploitability, impact, control response and remediation priority using a structured severity model.
Attack Library
Maintain an extensible library of reusable attack patterns and scenario templates.
Learning Memory
Retain validated attack paths, results and remediation outcomes for future test design.
Provider Abstraction
Keep orchestration independent from a single AI/model provider.
Evidence & Reporting
Produce reproducible findings, execution logs, evidence and retest results.
Safety Control Plane
Enforce target allowlists, rules of engagement, approvals, kill switch and action limits.
How the capability fits together
Final scope, control ownership and delivery model are confirmed during discovery.
Controls & governance
- Written authorization and scoped targets
- Rules of engagement and allowlist
- Safety thresholds and kill switch
- Full execution logging
- Separation of planner/executor/evaluator roles
- Human approval for destructive or high-impact test actions
Priority use cases
- Continuous control validation
- AI/application red teaming
- Attack-path validation
- Post-remediation retest
- Purple-team exercise
- Security regression testing
Key deliverables
- Test plan
- Attack scenario set
- Execution evidence
- Finding/severity report
- Control-gap map
- Retest/closure record
Integration considerations
- SIEM/SOAR
- Vulnerability management
- Asset/CMDB
- Identity/IAM
- CI/CD security
- GRC/risk workflow
Phased delivery
Each phase produces decision-ready evidence and clear ownership for the next stage.
Outcome and KPI framework
Secure by design, deploy according to criticality
Deployment and control options are validated against the product architecture, data sensitivity and client environment.
- SaaS where appropriate
- Private cloud
- On-premise where supported
- Hybrid / federated integration
- Zero Trust / least privilege
- RBAC / ABAC
- Encryption / secrets
- Audit and monitoring
- Data / model / agent governance
