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How to Build Robust Safeguards for AI and GenAI Security
As AI and Generative AI (GenAI) continue to transform diverse industries, they are also emerging as prime targets for increasingly sophisticated cyber threats. A recent report revealed that 90% of breaches involving GenAI resulted in sensitive data leaks – underscoring the urgent need for adequate protection.[1]
Securing AI systems requires more than traditional firewalls and antivirus software; it demands strategies that counteract vulnerabilities unique to AI. From privacy breaches to GenAI-enabled phishing, the threat landscape is both vast and rapidly evolving.
To meet this challenge, the Cybersecurity Strategic Technology Centre at our Group Technology Office developed our AGIL® SecureAI – a multi-tiered cybersecurity suite of solutions designed to protect AI and GenAI throughout all stages of their development, from inception to deployment.
Our Holistic Approach to AI Security
We believe that strengthening AI systems starts by taking a comprehensive approach that considers their entire lifecycle, from awareness and training to deployment. Each phase introduces distinct risks, demanding bespoke protective measures.
AGIL SecureAI meets these challenges with its three core products: AGIL SecureAI Assess, AGIL SecureAI Forensics, and AGIL SecureAI Validate – each uniquely designed to safeguard AI systems at different levels.
With AGIL SecureAI Assess, we enable operators to evaluate the security robustness of their AI models. By testing models against potential threats, identifying existing vulnerabilities, and benchmarking their resilience against industry standards, AGIL SecureAI Assess offers valuable insights into their current security posture. This clarity lays the groundwork for continuous improvements and enhanced protection.
Once vulnerabilities are identified, pinpointing their root causes becomes the next crucial step. This is where AGIL SecureAI Forensics shines, offering in-depth details into how and why a model might be susceptible to specific attacks. Armed with this information, customers can implement the right security measures to further bolster their AI models against evolving threats.
Finally, we look at data integrity, which forms the backbone of AI security. The training datasets that underpin AI models are often targeted by bad actors through tactics like data poisoning or breaches of third-party sources. AGIL SecureAI Validate verifies the authenticity and integrity of data, ensuring they remain uncontaminated, i.e., before they are used to train models. By maintaining clean, trustworthy data, we enable enterprises to have faith in their AI-driven operations. In recognition of the benefits it will bring to cybersecurity, the solution received an award from the Cyber Security Agency of Singapore at Cybersecurity Innovation Day 2024.
With its well-rounded strategy, AGIL SecureAI integrates security seamlessly into each stage of an AI’s lifecycle, allowing organisations to anticipate, mitigate, and adapt to emerging threats. |
AGIL SecureAI also plays a key role in validating and securing the wide range of AI-powered capabilities we’ve developed, ensuring that they remain reliable and effective for our customers.
Staying Ahead of Today’s Complex Threat Landscape
While the adoption of GenAI nearly doubled in just one year[2], there is also a surge in its exploitation and abuse for criminal activities.[3] Cybercriminals are employing increasingly advanced techniques, such as altering prompt inputs to manipulate AI responses or corrupting training data to subvert model behaviour. With AI at the core of many operations, such risks can undermine trust, compromise data, and expose users and organisations to reputational and organisational damage.
At ST Engineering, we will continue to work with industry partners and engage in collaborative research to expand the capabilities of AGIL SecureAI, ensuring it remains ahead of these emerging threats. With this cutting-edge solution, we enhance transparency, bolster resilience, and foster trust between developers, users, and stakeholders of AI systems – allowing organisations to embrace the transformative power of AI with confidence.
[1] Bradley, T. (2024, October 16). How GenAI Is Becoming A Prime Target For Cyberattacks. Forbes. View article.
[2] Singla, A., Sukharevsky, A., Yee, L., Chui, M., & Hall, B. (2024, May 30). The state of AI in early 2024: Gen AI adoption spikes and starts to generate value. McKinsey. View article.
[3] Sancho, D., & Ciancaglini, V. (2024, July 30). Surging Hype: An Update on the Rising Abuse of GenAI. Trend Micro. View article.
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