Prove risky decisions get corrected.
Augment turns security signals into targeted interventions and evidence records. Humans are the first actor class: Slack or Teams delivery, portal completion, decision traces, and a clear record of what changed.
Training is the wedge.
Assurance is the platform.
Augment starts with the urgent human-risk loop, then expands the same primitives to workflows and AI agents: actor, context, capability gap, intervention, evidence, and next action.
Signals become action.
Not dashboard noise.
A phishing click, vendor-payment exception, OAuth consent, or policy need becomes a targeted assignment with a visible reason and a completion record.
Completion is not enough.
The trace matters.
Every loop records why the actor was selected, why the intervention fit, which channel delivered it, what the learner completed, and what should happen next.
The first product is concrete.
The primitives are bigger.
Security teams already know which people and workflows create risk. Augment closes the gap between that knowledge and a defensible action: assign the right intervention, deliver it, verify completion, and capture the evidence.
Risk Signal
A risky event, policy need, or business workflow appears: BEC, OAuth consent, data handling, failed simulation, onboarding, or exception review.
Actor Context
Augment reads the actor class, role, team, workflow, available channels, prior completions, and capability gap before recommending an action.
Intervention
The system recommends a scenario, micro-coaching moment, lesson, policy review, or manager follow-up with a clear explanation of why this fits.
Delivery
The learner receives the assignment in Slack or Teams and completes durable work in the portal. Channel failures do not erase the obligation.
Evidence
The admin sees delivery, start, completion, score, missed concepts, decision trace, and the next recommended action in one record.
Start with vendor-payment risk.
Expand from there.
BEC and vendor-payment fraud make the pivot tangible: a real business workflow, a specific actor, a high-cost mistake, and a verification habit that can be measured today and evaluated against agents tomorrow.
- Map the risky step from message to vendor record to payment rail
- Assign a short intervention to the finance or operations actor
- Explain why this training was selected for this signal
- Record the evidence security and finance leaders can review
Every assignment explains why.
The trace is the assurance layer. It connects signal, actor context, selected intervention, delivery route, completion, and next action so security teams can defend the loop instead of presenting screenshots.
- Why this actor was selected
- Why this signal or policy need matters
- Why this intervention closes the capability gap
- What evidence proves delivery, completion, and outcome
Bring the intervention to the work surface.
Slack and Microsoft Teams matter because risky decisions happen inside collaboration workflows. Augment uses chat for assignment and coaching, then keeps durable completion and evidence in the portal.
- Slack and Teams are first-class pilot channels
- The portal owns lessons, policy reviews, progress, and evidence
- Channel readiness is verified before proactive nudges
- Assignments preserve state even when a channel needs attention
A focused pilot, not a self-serve trial.
The current offer is deliberately narrow: one signal source, one actor cohort, one high-value workflow, one channel rollout, and one evidence report that proves whether the loop closed.
- Pilot readiness checklist before launch
- Weekly security-program review with success metrics
- Decision traces for every assigned intervention
- Final evidence package for security, compliance, or leadership review
Teams that need proof of safe decisions, not another content shelf.
Security leaders proving behavior change
Move beyond annual-completion reports toward targeted interventions tied to the risky decisions your program cares about.
GRC and audit teams needing evidence
Show the signal, actor, assignment, delivery state, completion state, and next action in a defensible record.
Finance and operations workflows
Start with BEC and vendor-payment decisions where a small habit gap can create expensive loss.
Teams preparing for agentic work
Use the human-risk loop now while building the assurance model for workflows and AI agents next.
Run one Human Risk Loop and prove what happened.
Bring one signal, one cohort, and one workflow. Augment will help turn it into an intervention, delivery path, completion flow, and evidence record.