WitnessAI Enhances Security with Automated Red-Teaming and AI Firewall for LLMs

WitnessAI Expands Security Offerings for Enterprise AI

In the rapidly evolving landscape of artificial intelligence, ensuring the security of enterprise applications has become paramount. WitnessAI, a leading provider of AI enablement solutions, recently announced two groundbreaking products aimed at enhancing the security of large language models (LLMs) and related applications. Following a remarkable quarter of sales growth, these new tools—Witness Attack and Witness Protect—are set to redefine the standards of AI security.

The Need for Robust AI Security

The rise of AI technologies has brought numerous benefits to businesses, but it also comes with significant risks. Cyber threats targeting AI systems are becoming increasingly sophisticated, necessitating more effective security measures. WitnessAI's new offerings are designed to equip organizations with proactive and defensive capabilities to safeguard their AI applications against potential threats.

Witness Attack: Proactive Vulnerability Assessment

Witness Attack serves as an automated red-teaming tool, enabling enterprises to identify and mitigate vulnerabilities in their LLMs before deployment. Utilizing advanced techniques such as multimodal attacks and reinforcement-learning simulations, this tool generates synthetic prompts that test the model's defenses rigorously. By revealing weak points, developers can strengthen their models ahead of real-world applications, ensuring a more secure launch.

The proactive nature of Witness Attack is a game changer in the AI field. It allows organizations to adopt a security-first mindset during the development of AI models. With its capability to simulate various attack scenarios, businesses can proactively address vulnerabilities, significantly reducing the risk of exploitation in a live environment.

Witness Protect: Real-Time Defense Mechanism

Complementing Witness Attack, Witness Protect acts as a next-generation AI firewall. It is designed to provide ongoing defense against potential model attacks such as prompt injections and jailbreak attempts. Leveraging capabilities like behavioral prompt filtering and real-time data redaction, Witness Protect safeguards LLMs during their operational phases. This ensures that sensitive information is not compromised and that AI applications remain compliant with organizational policies.

Witness Protect boasts over 99% effectiveness in detecting prompt injections, positioning it as a robust solution amidst rising security threats. Its versatility enables compatibility with more than 100 different types of LLMs, promoting standardized protection across enterprise applications.