Train the workday decisions attackers exploit.
Solis Learn turns awareness training into realistic decision practice: inbox pressure, AI data handling, MFA fatigue, file-sharing traps, voice fraud, incident reporting, and mobile work risk. Every mission teaches one practical habit employees can use the same day.
Verify through a trusted channel, report the message, keep the workflow intact.
Awareness content that feels like a workplace simulation.
Inbox Siege: Phishing & Business Email Compromise
Work through a live-looking inbox, inspect a suspicious vendor message, and make the safest next move before money or credentials are lost.
MFA Meltdown: Passwords, Prompt Fatigue & Account Hygiene
Build safer password habits, spot MFA fatigue, and decide how to recover when a login pattern looks wrong.
Prompt & Prejudice: Safe Generative AI at Work
Decide what belongs in an AI prompt, what must stay out, and how to use AI without leaking sensitive business context.
Face/Off Payroll Edition: Deepfakes, Voice Clones & Executive Fraud
Practice resisting urgent requests that sound real, look real, and still need independent verification.
The QR Trap: Mobile Safety, Smishing & Public Wi‑Fi
Practice safer decisions around text-message lures, QR codes, and work performed from cafés, airports, and event spaces.
Permission Slip: Shadow AI, Plug-ins & Connected Apps
Understand why browser plug-ins, AI assistants, and unsanctioned SaaS tools can quietly gain access to more company data than expected.
ChatOps Impersonator: Teams, Slack & Internal Message Fraud
Practice spotting internal-style message fraud, fake help requests, and the “quick favour” tone that thrives in chat tools.
Incident Radar: Reporting, Evidence & First Response
Know what to report, what evidence helps, and how to respond without making the situation worse.
Meeting Mirage: Calendar Invites, Fake Join Links & Last-Minute Pressure
Practice resisting fake meeting invites that weaponize calendar trust, browser logins, and executive timing pressure.
File Share Frenzy: OAuth Consent, Shared Docs & Cloud Collaboration Traps
Spot malicious shared-document flows, fake file portals, and connected-app consent traps before access tokens are handed away.
The Helpful Stranger: Data Handling, AI Assistants & Secure Collaboration
Practice handling over-helpful AI assistants, broad data-access requests, and collaboration shortcuts that can expose more than employees realize.
Agent Autopilot: AI Tool Use, Approvals & Human Review
Control agentic AI workflows before an assistant sends email, changes records, or takes action with the wrong context.
Model Mirage: Hallucinations, Sources & Decision Checks
Catch unsupported AI claims, fabricated citations, and overconfident summaries before they influence real decisions.
Extension Exposure: Browser Add-ons, Tokens & Web Data
Evaluate browser extensions before they read every page, capture tokens, or quietly exfiltrate sensitive work data.
Ransomware Ready: Backups, Isolation & First Decisions
Practice the first hour of a ransomware suspicion: isolate, preserve evidence, report fast, and avoid making recovery harder.
Advanced Threat Intelligence Models
Use AI to turn CVE, KEV, IOC, vendor, ATT&CK, and report feeds into ranked, decision-ready security intelligence.
Autonomous Agents for Cyber Defence
Design cyber defence agents with scoped authority, guardrails, auditability, approvals, and rollback for production SOC use.
Adversarial Red-Teaming AI
Test AI-enabled security systems for prompt injection, poisoning, evasion, extraction, unsafe tool use, and output manipulation.
SOAR + LLM Integration
Connect LLMs into SOAR workflows for enrichment, classification, recommendations, approvals, and reversible response actions.
AI Governance and Policy for Security Leaders
Build AI cyber governance with risk registers, system inventories, accountability matrices, review boards, and approval workflows.
AI-Enhanced Incident Response
Use AI to support incident triage, clustering, timeline reconstruction, evidence review, response rationale, and reporting.
AI Forensics and Behaviour Logging
Preserve model, prompt, tool-call, decision, signer, timestamp, retention, and residency artefacts for forensic reconstruction.
Why this content is built differently.
Each lesson starts with a recognizable workplace situation, then ties the decision back to the signal employees should remember.
Results explain why a response works, what to avoid, and how to apply the same habit in email, chat, meetings, mobile work, and AI tools.
Best-score XP, levels, and achievements create a reason to improve while keeping the experience grounded in business risk.