Break It Before It Breaks You

Overview

AI doesn’t just fail when it’s attacked. It can fail under everyday conditions.
At HCLTech, AI red teaming is more than testing for adversarial threats. Our teams simulate both intentional attacks and unintended outcomes that arise from normal use or edge cases such as prompt injections, data leakage, hallucinations, bias or toxic outputs.

By exploring how AI systems behave in realistic and high-stress scenarios, we help enterprises uncover vulnerabilities, hidden biases and reliability gaps before they affect customers, compliance or brand trust.

Overview

What Is AI red teaming?

AI systems don’t fail loudly; they fail subtly.

Traditional security tests can’t detect risks unique to AI, such as emergent harmful behaviors, jailbreaks or hidden data leaks. AI red teaming goes deeper, using adversarial techniques to uncover how your model behaves under pressure.

Traditional security red teaming validates the fortress protecting your systems.

AI red teaming hardens the AI asset itself.

Through structured adversarial simulations, we expose weaknesses before they cause real-world damage from model hallucinations to regulatory non-compliance.

Outcome: AI that’s secure, compliant and resilient by design.

 

Our Express Red Teaming Offering

We’ve built a repeatable, high-impact methodology that can deliver results in as little as four weeks, depending on the complexity and scope of the AI system.

Low-risk investment: Flexible engagement timelines designed to fit client needs.

Phase 1

Scope and Sample

  • Objective: Define the scope and model under test.
  • Deliverable: Produce a sample insights report, providing an initial view of findings and opportunities for further engagement.

Phase 2

Technique Selection

  • Objective: Identify relevant testing tactics and real-world or edge-case scenarios tailored to the AI system.
  • Deliverable: A customized test plan defining tools, tactics and evaluation metrics.

Phase 3

Execute

  • Objective: Conduct targeted red teaming using advanced AI security tools and simulations.
  • Deliverable: A detailed vulnerability assessment highlighting system weaknesses and behavioral risks.

Phase 4

Recommendation

  • Objective: Analyze results and provide actionable mitigation strategies.
  • Deliverable: A comprehensive final report with prioritized recommendations and a completion certificate.

Key deliverables

We provide a detailed report that includes findings, mitigation strategies and a verified completion certificate.

It will cover a comprehensive set of vectors and tests, along with validation aligned to the tenets of Responsible AI.

A data-driven roadmap to help enhance AI systems and boost confidence among stakeholders across various industries.

Real-World Use Cases

Disclaimer

The examples and outcomes presented on this page are illustrative and based on representative client scenarios. Actual results may vary depending on engagement scope, system complexity and risk environment.

Fortifying AI for a global pharmaceutical leader

To secure LLM-powered applications, we implemented a custom framework based on the OWASP LLM Top 10, integrating prompt-injection testing, jailbreak defenses and leakage protection.
Result: Major reduction in attack surface, reusable internal testing modules and continuous AI assurance.

Red teaming for a technology and transportation pioneer

Our team executed over 1,500 adversarial prompts, uncovering 14% more vulnerabilities than standard testing methods and saving $ 500,000 in prevented failures.
Result: Quantifiable ROI and a more resilient, production-ready AI stack.

The ROI of AI red teaming

Every vulnerability found before launch saves millions after deployment.

Our clients report:

  • Reduced compliance costs through pre-emptive risk discovery.
  • Faster time-to-market due to streamlined testing and governance.
  • Enhanced customer trust with demonstrable AI safety and transparency.

In modern AI, governance isn’t a brake — it’s the engine.
Proactive red teaming transforms AI risk into a competitive advantage.

The ROI of AI red teaming

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