SecurityElites for Teams

Your people already use AI. Make sure it can't be turned against them.

Hands-on AI security training on live, hackable AI systems — for everyone from the CEO's office to the engineers shipping LLM features. Measured with one score your board understands.

Free for up to 5 peopleNo install — runs in the browserMapped to OWASP LLM Top 10 (2025)
13%

of organisations reported breaches of AI models or applications in the past year

Source: IBM Cost of a Data Breach 2025
97%

of those breached organisations lacked proper AI access controls

Source: IBM Cost of a Data Breach 2025
71.6%

of generative AI use at work happens through personal, non-corporate accounts

Source: LayerX Enterprise AI & SaaS Data Security Report 2025
Art. 4

EU AI Act: providers and deployers must ensure staff AI literacy — in force since 2 February 2025

Source: Latham & Watkins, 2025
Programmes

Four ways in. One score at the end.

Start free, run a live event to get everyone talking, train the engineers who build with AI, and rehearse attacks on a copy of your own app.

For 20–150 people · on-site or online

AI Red Team Day

₹2.5 lakh · $3,000per event, up to 50 people

Your company's first AI hacking championship. Teams of up to five race to break real AI assistants — leaking secrets, hijacking agents, slipping instructions into documents — while a big-screen leaderboard tracks teams, departments and first bloods.

  • Two tracks: builders, and everyone else — no code needed
  • A "boss" lab built on your industry, worth bonus points
  • Branded event page, live leaderboard and a department report for the CISO
For engineering teams · 2 days live + 60 days of labs

Secure AI-Assisted Development

₹25,000 · $350per engineer, minimum 10

Coding agents now read your repos, run commands and open pull requests. This bootcamp teaches engineers to use them without handing attackers the keys — about 70% hands-on.

  • Agent permissions, tool servers (MCP) and approval modes
  • Poisoned issues, READMEs and invented packages
  • Reviewing AI-written code and tests that test nothing
For AI, product and AppSec teams

Mirror Range

₹6 lakh · $7,500per AI app, 8 private labs

We rebuild your own chatbot or agent — persona, tools, rules, data shape — as a private lab set with fake data. Your engineers attack it, fix the prompt and guardrails, then re-run the attacks to prove the fix holds.

  • Eight attack scenarios: prompt leak, injection, poisoned documents, tool misuse, cross-account leaks, unsafe output, guardrail bypass, executive impersonation
  • Private to your workspace; nothing connects to production
For everyone · self-serve

AI Readiness Check

Freeup to 5 people · 1 assignment · 1 Red Team Day

Create a workspace, share one invite link and get your team's AI Readiness Score in under an hour from five live labs.

  • Score by person, department and OWASP risk
  • One assignment and one AI Red Team Day included
  • Opt in to the public AI Readiness League
For ongoing programmes

Team seats & reporting

₹6,000 · $99per person per year, all labs + reports

Every free and Premium AI lab, five ready-made tracks, assignments with due dates and an audit-ready readiness report you can save as PDF.

  • Tracks for all staff, leaders, developers and AppSec
  • CSV export of every person's results
How it works

Assess, train, prove.

01 · Assess

Get a baseline in an hour

Everyone plays five live labs. You see where your people fall for AI attacks, by department and by OWASP risk.

02 · Train

Assign the right track

Safe AI at Work for all staff, AI Risk for Leaders, Secure AI-Assisted Development for engineers, AI Application Security for AppSec — plus live Red Team Days.

03 · Prove

Hand the board the evidence

Re-measure, export the readiness report, and file the completion record next to your AI policy.

Secure AI-Assisted Development · syllabus

Eight modules. Every one ends in a lab.

The labs are public — try any of them now, free.

01

How coding agents work

Context, tools, permissions and approval modes — and why least privilege decides the damage.

Lab: Coding Agent Blast Radius →
02

What goes into a prompt

Secrets, customer data and code that should never reach an AI tool, and how to clean a paste.

Lab: Secrets in the Context Window →
03

Reviewing AI-written code

The insecure patterns assistants reproduce, and how to review like it is a new contributor.

Lab: Review the AI's Pull Request →
04

Supply chain: invented packages

Package hallucination and slopsquatting — verifying every dependency an assistant suggests.

Lab: Package Hallucination →
05

Agents under attack

Instructions hidden in issues, READMEs and web pages that hijack coding agents.

Lab: Poisoned GitHub Issue →
06

Tool servers (MCP)

Poisoned tool descriptions, over-broad scopes and silent updates.

Lab: Rogue MCP Server →
07

AI in tests and docs

Tests that pass without testing, and docs that invent APIs.

Lab: Tests That Test Nothing →
08

Building LLM features safely

Prompt injection meets unsafe output handling: SQL, HTML and shell built from model output.

Lab: Text-to-SQL Injection →
Evidence

A report your auditors can file.

The readiness report lists participation, scores by department and by OWASP risk, and a dated completion record — mapped to the frameworks your risk team already uses.

OWASP Top 10 for LLM Applications 2025Every lab is tagged with the risk it teaches; mastery is reported per risk.
EU AI Act, Article 4Staff AI literacy duty for providers and deployers, in force since 2 February 2025.
ISO/IEC 42001:2023Clauses 7.2 Competence and 7.3 Awareness for people affecting your AI management system.
NIST AI RMF 1.0GOVERN 2.2 — personnel and partners receive AI risk management training.

The report records training and assessment activity. It supports compliance work; it is not a certification of compliance.

Why hands-on

People remember the attack they pulled off themselves.

Awareness videosGeneric online coursesSecurityElites for Teams
Practise on a real, hackable AI systemNoSometimesEvery lab
Tracks for non-technical staff and engineersStaff onlyEngineers onlyBoth
A copy of your own AI app to attackNoNoMirror Range
Live team event with a big-screen leaderboardNoNoAI Red Team Day
Score by department and OWASP riskCompletion onlyQuiz scoreAI Readiness Score
Free to startDemoTrial5 people, free
Questions

What security and L&D teams ask us.

Do employees need technical skills?

No. The Safe AI at Work and AI Risk for Leaders tracks are built for non-technical staff: every lab is played in plain language in a browser. Engineers get their own track and bootcamp.

What is the AI Readiness Score?

A 0–100 score per person, department and company, based on how many assigned live labs people solve, weighted by difficulty and reduced when they lean on hints. It is broken down by the OWASP Top 10 for LLM Applications (2025) so you can see which risks your people can already recognise.

Does Mirror Range touch our production systems or data?

No. We rebuild your app's behaviour — persona, tools, rules and the shape of its data — on our range with generated fake data. Nothing connects to your systems, and the labs are visible only to your workspace.

How does an AI Red Team Day run?

Teams of up to five race through live AI labs for two to six hours, on-site or online. A big-screen leaderboard shows teams, departments and first bloods. Afterwards you get a participation and score report by department.

What do auditors and the board get?

A readiness report you can save as PDF, plus a CSV of every person's results. It maps lab coverage to the OWASP LLM Top 10 and lists the training evidence relevant to EU AI Act Article 4, ISO/IEC 42001 clauses 7.2–7.3 and NIST AI RMF GOVERN 2.2. It supports compliance work; it is not a certification of compliance.

Can we restrict who joins?

Yes. Lock your workspace to your company email domains, assign labs by department, and remove people at any time. Workspace admins see individual scores; members only see their own.

Talk to us

Plan your programme.

Tell us who you want to train and when. We reply within one business day with a plan and a quote.

Pilot pricing for early partners — and a case study we write together
Rupee and dollar invoicing
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