Defend · Harden · Verify
SecEng Defend
Change the controls that break the attack path.
Turn mapped risks and reproduced failures into enforceable architecture changes, permissions, guardrails, release gates, telemetry, rollback paths, and regression tests.
SecEng Defend turns security evidence into changed system behavior. We redesign trust boundaries, constrain agent and tool authority, define gateway and guardrail policy, add detection and approval logic, and turn failures into regression conditions. APC chokepoint analysis identifies the controls that disrupt the most validated attack paths so teams can fix for defensive leverage, not just ticket severity.
Defense completion
A finding is not fixed because the ticket closed.
A defense is complete when the system behavior changed, the expected control is explicit, the original failure has a retest condition, and evidence shows whether the path still succeeds.
FINDING
What failed?
CONTROL
What behavior changes?
RETEST
Can the original path still succeed?
EVIDENCE
What proves the outcome?
Capabilities
Turn findings into controls that hold.
Attack-chain chokepoint analysis
Rank controls by how many meaningful attack paths they disrupt. APC exposes shared weaknesses across chains so one well-placed control can eliminate multiple failure paths.
Architecture and trust-boundary changes
Change where data, identities, models, retrieval layers, agents, tools, and external systems are allowed to interact.
Agent and tool authority
Reduce blast radius with scoped identities, least privilege, credential boundaries, explicit tool policy, approval gates, and constrained external effects.
Runtime policy and telemetry
Define model and provider policy, logging, sensitive-data handling, tool-call controls, decision telemetry, fallback behavior, and runtime enforcement.
Guardrails, evals, and regression criteria
Turn vague safety or security goals into explicit blocked behaviors, test fixtures, thresholds, degradation rules, release criteria, and repeatable regression tests.
Approval, rollback, and kill-switch design
Define where humans must intervene, what context they need, how actions are reversed, and how unsafe automated behavior is stopped.
Attack-chain chokepoint analysis
Fix the control that collapses the chain.
Individual findings often share the same underlying weakness: an overprivileged identity, weak authorization boundary, permissive tool policy, missing approval gate, untrusted retrieval path, or absent runtime control. APC chokepoint analysis makes those shared dependencies visible and ranks remediation by the number and importance of attack paths disrupted.
Workbench capabilities that support Defend
Control the path, not just the ticket.
SecEng Authority Graph
Model agent, identity, credential, tool, MCP, approval, and external-action authority, then turn dangerous compositions into least-privilege controls, approval requirements, and hardening tasks.
APC chokepoint analysis
Rank controls by how many validated attack paths they break so remediation targets the weakest shared dependencies first.
SecEng Runtime Proxy
Capture and replay prompts, retrieval context, model calls, tool calls, approvals, outputs, and policy decisions so teams can verify control behavior and preserve retest evidence.
SecEng Model Gateway
Centralize supported model/provider routing, policy enforcement, logging, sensitive-data handling, fallback behavior, spend controls, and other boundary decisions.
AI Guardrails & Evals Review
Validate guardrails, eval criteria, blocked behaviors, regression coverage, and release criteria against real failure conditions.
SecEng RAG Test Harness
Use retrieval-authorization findings to define identity, boundary, and retest fixtures that support hardening work.
AI Security Program Baseline
The baseline identifies program-level ownership and control gaps. Defend is where technical controls are designed, implemented, and verified.
SecEng Code Scanner
Carry AI-native code findings into control-gap analysis and hardening work when upstream evidence is needed.
Adjacent resources
Program baseline that supports Defend.
Use the Program Scorecard to baseline control gaps, ownership, and roadmap before or after hardening work.
AI Security Program Baseline
The baseline identifies program-level ownership and control gaps. Defend is where technical controls are designed, implemented, and verified.
MAP
Inventory & Trace
Understand architecture, data paths, trust boundaries, authority, ownership, and evidence gaps.
Open routeATTACK
Test & Validate
Reproduce AI abuse paths and determine which findings form meaningful attack chains.
Open routeDEFEND
Harden & Verify
Change architecture and controls, constrain authority, and verify the original paths no longer succeed.
Open routeEVIDENCE
Prove & Reuse
Preserve findings, attack paths, fixes, retests, control proof, and buyer-ready artifacts.
Open route