End-to-End Security for the Generative AI Era
Let's TalkWelcome to the Wild West of GenAI Security
As businesses integrate Generative AI and Large Language Models (LLMs) into their operations, they face new cybersecurity challenges
Denial of Wallet (DoW)
By overwhelming models with automated requests, attackers can significantly inflate operational costs, leading to financial losses and resource depletion for organizations.
Brand Reputation Risks
Organizations and employees can fall victim to misinformation or AI-generated malicious content. As a result, businesses face the potential for reputational damage, loss of trust, and legal consequences.
Model and Data Poisoning
Attackers continually seek new methods to inject malicious data into the training process or input data to manipulate the model's behavior.
Data Leakage
LLMs trained on extensive datasets heighten the risk of data leakage. Unsecured LLM gateways can expose personal data, intellectual property, and trade secrets.
Prompt Injection & Jailbreak
These vulnerability occurs when malicious users craft inputs to manipulate the AI into generating incorrect or harmful outputs, in both direct and indirect ways.
Awards & Recognition
LLM-First
Built for Everyone
End-to-End (Really)
Your Company is Using LLMs. You Just Don’t Know Where.
The question is not if, but which LLMs, and how they are being used.
Blocking ChatGPT is a temporary solution at best - and it comes with a cost in terms of lost productivity. Securing employee usage is a critical first step on the way to organizational readiness.
The choice: embrace LLMs or get left in the dust.
But very few are taking the time to address vulnerabilities and risks - either the ones we know about, or the ones coming over the horizon.
Like any gold rush, the LLM revolution is an exciting target for cyber bandits who know how to exploit these weaknesses in your security posture.
And We’re Asking All the Right Questions.
Shadow AI Discovery
Shadow AI Discovery
LLM Monitoring and Observability
LLM Monitoring and Observability
Real-Time Detection and Alerting
Real-Time Detection and Alerting
Is someone trying to tamper with your models?
- PII/IP or sensitive data sent
- Malicious  code received
- Code copyrights infringement
- Direct/Indirect prompt injections
- Model denial of service
- Sensitive information disclosure