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Artificial intelligence is revolutionising how businesses operate in nearly every sector. From medicine to banking and marketing to customer service, AI is accelerating processes and making them operate faster and more reliable. But with growth comes one gigantic question: how do we make sure our data is private and AI systems secure?
Two terms you'll hear a lot in the next few years are Private AI and Secure AI. They may sound the same but actually include two different aspects of Artificial Intelligence software. Knowing the difference can help your company make better decisions about deploying AI without compromising your data security.
Here's what you need to know.
What Is Private AI?
Private AI is all about making the data on which AI systems operate private. It is about working on an AI platform that keeps information confidential. This can include personal details, medical history, or financial information. Private AI makes sure this data is never exposed or utilised during training or deployment of AI models.
Some of the standard methods used in Private AI include:
Federated learning: AI models are trained from user data on users' own devices without the data ever leaving the device.
Differential privacy: Where a layer of 'noise' is added to data so that it becomes impossible to track information back to one person.
Homomorphic encryption: A method that allows AI to process encrypted information without ever decrypting it, so the original information remains concealed.
The primary objective of Private AI is straightforward: maintain private or confidential data always.
Why Private AI Matters
Today, people are more concerned than ever with how their data is being utilised. Laws like the European Union's GDPR have laws on the manner of safeguarding personal information for businesses. With Private AI, businesses can meet these laws, avoid getting in trouble, and earn customer trust by showing privacy respect.
What Is Secure AI?
Secure AI refers to protecting the AI system itself from attacks or misuse. The software protects the AI from potential hackers who might try to steal or manipulate the model or its data.
This includes:
Adversarial robustness: Creating AI models that have strong firewalls against adversarial attacks occurring when a person tries to trick the AI using fake inputs.
Secure Coding: Making sure the code and software executing AI are malware-free or free of any hidden vulnerabilities.
Consistent Monitoring: Keeping AI systems under monitoring while in operation to spot malware or illicit access promptly.
The aim of Secure AI is to keep the AI system consistently safe and trustworthy even during an attempted attack.
Why Secure AI is Important
Artificial intelligence is a cybercrime target because it holds useful data and propels key decisions from businesses. Recent studies prove that data poisoning or model theft attacks are on an upward trend. If your AI isn't protected, your business could fall victim to attacks and lose revenue, damage its reputation, and encounter legal problems.
Private AI and Secure AI Compared
The table below compared the many factors between private AI and secure AI.
Why Should Your Business Care?
No matter what your business is, AI privacy and security neglect is not without risk. For example, IBM's 2023 Cost of a Data Breach report shows that the average data breach is now costing more than $4.4 million globally, and the costs of an AI breach are even greater.
On top of this, customer demands are focused even more on data security. McKinsey found that 71 percent of customers would stop doing business with organisations that handle their data badly.
By adopting both Secure AI and Private AI, you reduce risks, protect your reputation, and position your company as trustworthy and safe. This can provide opportunities in government markets, finance, and healthcare markets where security and privacy are top concerns.
How Atomic Digital Labs Can Help
At Atomic Digital Labs, we understand how important it is to create AI that ensures privacy and is secure. Our experts can help you with:
- Evaluate your existing AI tools for privacy and security risks
- Develop privacy-first AI models with the latest techniques
- Protect your AI systems from cyber attacks
- Keep your AI compliant with evolving privacy law
If you're keen to build AI that's powerful, ethical, and trustworthy, we can help you each step of the way.
Contact Atomic Digital Labs today for a free consultation and allow us to help you create AI solutions that protect your data and your business.
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