AI

Meet Lakera AI: A Real-Time GenAI Security Company that Utilizes AI to Protect Enterprises from LLM Vulnerabilities

2 Mins read

Hackers finding a way to mislead their AI into disclosing critical corporate or consumer data is the possible nightmare that looms over Fortune 500 company leaders as they create chatbots and other generative AI applications.

Meet Lakera AI, a GenAI security company and cool start-up that uses AI to shield businesses from LLM flaws in real-time. Lakera provides security by using GenAI in real-time. Responsible and secure AI development and deployment is a top priority for the organization. The business created Gandalf, a tool for teaching people about AI security, to hasten the safe use of AI. More than a million people have used it. By constantly improving its defenses with the help of AI, Lakera helps its customers remain one step ahead of new threats.

Protecting AI applications without slowing them down, staying ahead of AI threats with constantly changing intelligence, and centralizing the installation of AI security measures are the three main benefits companies receive from Lakera’s holistic approach to AI security.

How Lakera Works

  • Lakera’s tech offers strong defense by combining data science, machine learning, and security knowledge. Their solutions are built to effortlessly interact with current AI deployment and development workflows to reduce interference and maximize efficiency.
  • The AI-driven engines of Lakera constantly scan AI systems for indicators of harmful behavior, allowing for the detection and prevention of threats. The technology can identify and prevent real-time attacks by identifying anomalies and suspicious trends.
  • Data Security: Lakera assists businesses in securing sensitive information by locating and securing personally identifiable information (PII), stopping data leaks, and guaranteeing full compliance with privacy laws.

Lakera safeguards AI models from adversarial assaults, model poisoning, and other types of manipulation by identifying and preventing them. Large tech and finance organizations use Lakera’s platform, which allows companies to set their limits and guidelines for how generative AI applications can respond to text, image, and video inputs. The purpose of the technology is to prevent “prompt injection attacks,” the most common way hackers compromise generative AI models. In these attacks, hackers manipulate generative AI to access a company’s systems, steal sensitive data, perform unauthorized actions, and create malicious content.

Recently, Lakera revealed that it received $20 million to provide those executives with a better night’s sleep. With the help of Citi Ventures, Dropbox Ventures, and existing investors like Redalpine, Lakera raised $30 million in an investment round that European VC Atomico led.

In Conclusion

As far as real-time GenAI security solutions go, Lakera has limited rivals. Customers depend on Lakera because their AI applications are protected without slowing down. More than one million people have learned about AI security through the company’s instructional tool Gandalf, which aims to expedite the secure deployment of AI.


Dhanshree Shenwai is a Computer Science Engineer and has a good experience in FinTech companies covering Financial, Cards & Payments and Banking domain with keen interest in applications of AI. She is enthusiastic about exploring new technologies and advancements in today’s evolving world making everyone’s life easy.


Source link

Related posts
AI

FineWeb-C: A Community-Built Dataset For Improving Language Models In ALL Languages

2 Mins read
FineWeb2 significantly advances multilingual pretraining datasets, covering over 1000 languages with high-quality data. The dataset uses approximately 8 terabytes of compressed text…
AI

Qwen Team Releases QvQ: An Open-Weight Model for Multimodal Reasoning

2 Mins read
Multimodal reasoning—the ability to process and integrate information from diverse data sources such as text, images, and video—remains a demanding area of…
AI

Frenzy: A Memory-Aware Serverless Computing Method for Heterogeneous GPU Clusters

2 Mins read
Artificial Intelligence (AI) has been making significant advances with an exponentially growing trajectory, incorporating vast amounts of data and building more complex…

 

 

Leave a Reply

Your email address will not be published. Required fields are marked *