AI is everywhere right now—from the apps on your phone, to the systems that help doctors diagnose diseases and banks in detecting fraud. It’s amazing stuff, but there’s a catch: the more we rely on AI, the more important it becomes for us to make sure it’s secure.
And no, this isn’t just a “techie” problem. If AI goes wrong— either because it gets hacked, manipulated, or just makes a bad decision—it can affect people or humankind at large in serious ways.
So let’s break down what AI security really means, why it matters, how we can actually protect these systems using real cybersecurity controls, and how Orange Cyberdefense fits into all of this.
So… what is AI security?
Think of AI security as a digital seatbelt. It’s about making sure the AI system does what it’s supposed to do—without getting tricked, tampered with, or turned against us.
What are the risks?
We’re talking about things like:
- Adversarial attacks that confuse AI
- Poisoned training data
- Model theft and reverse engineering
- Built-in bias
- Attacks on AI infrastructure
All of these can lead to bad decisions, reputational damage, or worse—real harm to people.
How to defend AI: Real cybersecurity controls
Here’s a low-down on what works in this mapped out ‘Threat vs Control’:
| Threat | Control |
| Adversarial attacks | Input sanitization, adversarial training, anomaly detection |
| Data poisoning | Data lineage tools, validation scripts, RBAC (Role-based access controls) |
| Model thef | API rate limits, watermarking, obfuscation |
| Supply chain threats | Secure SDLC (Software Development Lifecycle), SBOM (Software Bill of Materials), code audits |
| Bias & fairness | Explainability tools, diverse datasets, fairness audits |
Where Orange Cyberdefense comes in
Let’s be honest—AI security is complex. Most companies don’t have the time, tools, or internal expertise to cover all the bases. That’s where Orange Cyberdefense steps in.
How we can help:
i) Threat intelligence tailored for AI
Orange Cyberdefense continuously monitors the evolving threat landscape—including attacks targeting AI models, ML pipelines, and generative systems. You get early warnings, not late surprises.
ii) Securing the full AI lifecycle
From training data protection to model deployment, Orange Cyberdefense helps to implement real-world cybersecurity controls:
- Data encryption & access controls
- Secure model hosting environments
- API security hardening
- Adversarial robustness testing
iii) Monitoring & detection
AI doesn’t sleep—and neither should your security. With 24/7 monitoring, Orange Cyberdefense proactively detects anomalies, alerts on suspicious activity, and supports incident response if anything goes wrong.
iv) Compliance & governance support
With upcoming regulations like the EU AI Act, they’ll help you get ahead—mapping risks, documenting controls, and embedding responsible AI practices into your business.
v) Advisory & expertise
Not sure where to start? No worries, as our experts are here to guide you with:
- Risk assessments tailored for AI use cases
- Security architecture reviews for ML pipelines
- Workshops to train your teams on AI security best practices
Final thoughts
AI is powerful—but it’s not foolproof. It’s our job to make sure that it’s trustworthy, fair, and secure. That means putting real controls in place and staying ahead of the curve.
And the good news? You don’t have to figure it out alone. With partners like Orange Cyberdefense, you can build trustworthy AI systems that are not just intelligent —but also secure, agile, and ethical!
Mayank Sharma
Mayank Sharma is a Senior Security Specialist at Orange Business India, possessing over a decade of experience in leading cybersecurity practices and building transformation strategies. He is committed towards securing organizations’ networks and data and supporting their digital transformation journeys.