Mitigata helps you test AI models, copilots, agents, prompts, and workflows before attackers, users, or bad assumptions find the weak spots first.
Red Teaming attacks the system. Blue Teaming defends it. Purple Teaming improves both sides. Tabletop exercises test whether your people know what to do when AI risk becomes real.
AI Red Teaming tests your models, prompts, agents, and AI applications like an attacker would, without waiting for the internet to volunteer.
AI Blue Teaming strengthens detection, monitoring, controls, playbooks, and response workflows around your AI systems and connected tools.
AI Purple Teaming brings attackers and defenders together, so every test becomes a practical improvement instead of just another finding.
The right AI security testing approach looks beyond prompts alone. It checks model behaviour, connected tools, sensitive data exposure, response readiness, and the people making decisions under pressure.
Test whether malicious prompts can override instructions, leak data, manipulate outputs, or make your AI system behave outside its intended rules.
Check how your AI model responds to unsafe requests, policy bypass attempts, harmful instructions, and cleverly worded misuse cases.
Review what AI agents can access, trigger, retrieve, modify, or expose through plugins, APIs, connectors, and business workflows.
Identify whether sensitive data, customer information, credentials, internal documents, or source code can leak through prompts, responses, logs, or retrieval systems.
Improve alerts, monitoring, escalation flows, and investigation steps for risky AI usage, suspicious prompts, and unsafe model behaviour.
Run realistic AI incident drills for security, legal, compliance, product, engineering, leadership, and communications teams.
Mitigata tests how your AI behaves when prompts get hostile, agents get powerful, and sensitive data enters the workflow.
Teams launch AI features with limited abuse testing.
Prompts, agents, and outputs rely on assumptions.
Data leakage and misuse paths stay hidden.
Teams decide roles during the incident.
AI systems, prompts, agents, and data reviewed.
Red Team tests misuse and failure paths.
Blue Team improves detection and response.
Tabletop drills clarify decisions and ownership.
AI risk rarely stays inside the model. It touches identity, data, cloud apps, endpoints, logs, legal decisions, and incident response.
Use AI testing results to strengthen prompt controls, usage policies, risky prompt monitoring, data handling rules, and safer AI workflows.
Stop sensitive data from entering AI prompts, retrieval systems, copilots, chat tools, logs, and model-connected business workflows.
Prepare for AI-related incidents with evidence handling, escalation workflows, investigation steps, stakeholder communication, and recovery planning.
Pick your industry, drop in your headcount, tick the security controls you have in place.
Score is indicative. Full audit covers 84 controls. DPDP, ISO 27001, SOC 2 mapped.
84 controls · 5-day report
Book an AI security exercise with Mitigata. We'll review your AI systems, test misuse paths, improve controls, and help your teams rehearse what happens when AI risk becomes real.
