AI Adoption in Business: A Surge in Innovation
The use of Artificial Intelligence (AI) in businesses is rapidly increasing, with a recent survey by EY showing that 96% of enterprises plan to use AI in the next year, compared to only 43% today. This trend is driven by the desire to gain a competitive edge through AI-powered applications. AI and models like Large Language Models (LLMs) are being integrated into business operations to foster innovation and efficiency, driving both revenue growth and profitability.
However, with new technology comes new risks. Many AI tools are still developing, potentially exposing sensitive corporate data. The pressure to quickly develop AI applications has resulted in shortened timelines, making security a challenging aspect to manage.
Securing AI by Design: A Necessity
AI systems often handle sensitive data, including personal information, financial records, and proprietary insights. If this data is compromised, it can lead to significant financial losses, legal issues, and damage to a company's reputation. Thus, ensuring the security of AI applications from the development stage through to deployment is essential.
Several factors highlight the importance of robust security measures:
- AI systems process huge amounts of sensitive information.
- Unauthorized access can lead to data leaks and operational disruptions.
- Stricter regulations on data protection require compliance with laws and standards.
Implementing Robust Security Solutions
To protect enterprise AI applications, businesses need solutions that address both AI-specific risks and foundational network threats.
Discovering Your AI Ecosystem
AI Runtime Security is designed to map out your entire AI application ecosystem, including applications, models, data sources, and user interactions. Understanding this ecosystem helps identify and mitigate weaknesses.
Protecting Against AI-Specific Threats
This security solution defends against both known and unknown threats, like prompt injections, data leakage, and malicious responses, safeguarding applications from potential attackers.
Monitoring New Threats
As threats evolve, continuously monitoring the AI ecosystem is vital. AI Runtime Security allows for the evaluation of AI applications and the identification of risky communication paths.
Businesses must ensure their AI technologies are secure to protect against evolving threats. AI Runtime Security offers a platform approach that ensures secure innovation, supporting growth in the fast-paced tech landscape.
By prioritizing security in AI adoption, enterprises can confidently integrate these technologies, ensuring both safety and innovation.
