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Start with the pressure: sales, launch, abuse, agents, data, or guardrails

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Defend

All services

Turn red-team findings into controls engineering teams can ship and security teams can verify.

Deterministic controls, release gates, telemetry, and retest evidence. Defend hardens guardrails, evals, approval workflows, permissions, and release gates — and produces the retest criteria that close the red-to-blue loop.

Harden Agentic WorkflowsView 8-Service Portfolio
Boardroom to backlog evidence chain diagram

Controls to backlog

Defend visual operating model

Buyer questions

  • - What controls need to exist before launch?
  • - Are guardrails, evals, release gates, telemetry, and approval workflows meaningful enough?
  • - Can approval boundaries be bypassed?
  • - Do logs and telemetry support investigation and evidence?
  • - What must become Jira or Confluence work?

Products / instruments

SecEng Runtime Proxy — Trace, Replay, Evidence ExportSecEng Authority Graph — Agent Blast-Radius MapSecEng Surface ScannerSecEng RAG Test Harness — XPIA LabProgram Blueprint Kit

Featured research

AI Security Engineering HandbookAI Product Security in the Age of Mythos
AI Security Engineering Handbook cover

Featured research

AI Security Engineering Handbook

A structured study companion for AI security engineering practitioners, candidates, and teams covering foundations, role architecture, domain vocabulary, controls, evidence, assessment, and operating-model design.

12 ChaptersStudy Companion14 AIPSA domains

Open report

SecEng Runtime Proxy demo screenshot

Defend instrument

SecEng Runtime Proxy

SecEng Authority Graph demo screenshot

Delegated authority

SecEng Authority Graph

AI governance controls portfolio visual

Evidence proof

AI Governance Controls: Garak, Nemo, Presidio, Promptfoo

Guardrails, evals, control mapping, and implementation backlog evidence.

View proof

Flagship
DefendAvailable

implementation

Agentic Workflow Security & Hardening

A hardening engagement for AI agents and workflows: permission design, tool policies, approval gates, scoped credentials, logging, rollback, exception handling, and production guardrails.

Outcome

5 deliverables

Best for

AI Platform Lead, Product Security, Security Architect, Automation Lead

  • •Permission design, scoped credentials, tool policies, and action classes
  • •Approval gates, human-in-the-loop design, rollback, and exception handling
  • •Logging, observability, kill switches, release gates, and incident hooks
  • •Hardening backlog for agents, automations, and delegated actions
Duration: 3-6 weeksScoped in discovery call
View serviceHarden AI WorkflowsSee people fitView evidence
Flagship
DefendAvailable

assessment

AI Guardrails & Evals Review

A review and improvement plan for guardrails, evals, refusal behavior, fallbacks, test coverage, monitoring, regression cases, and release criteria.

Outcome

5 deliverables

Best for

AI Product Lead, Product Security, Trust and Safety, Engineering Lead

  • •Guardrail architecture, safety policy, refusal, fallback, and monitoring review
  • •Eval suite, abuse case, failure mode, and regression coverage review
  • •Prompt/control regression testing and release quality gate recommendations
  • •Engineering-ready remediation plan for guardrails, evals, and release criteria
Duration: 2-5 weeksScoped in discovery call
View serviceReview Guardrails & EvalsSee people fitView evidence

Sample deliverables

Control acceptance criteria
Red-team retest criteria
Release gate recommendations
Guardrail / eval hardening guidance
Telemetry and alerting requirements
Rollback and approval paths for agentic workflows