Securing LLM Outputs: Preventing Insecure Output Handling and Injection Attacks

- Posted in Hardenings by
Background: The threat landscape in the LLM era has become hybrid compared with the classic OWASP Top Ten. Interconnected LLM services have brought new types of attacks, and the boundaries between [...] Read more

Sensitive Data Disclosure over Leveraging LLM

- Posted in Threat Analyze by
Background: When leveraging agentic and non-agentic AI capabilities, especially when your solution is connected to your database, your organization can face another threat besides prompt injection: [...] Read more

Prompt Injection: Attack against LLM

- Posted in Threat Analyze by
Background: Prompt injection is one of the most well-known attacks against LLMs. The primary goal of a threat actor in such attacks is to extract secrets and other sensitive data from the environment [...] Read more

Data Poisoning Attacks on LLM leveraged Product Support Bots: Attack, Risk, Prevention

- Posted in Threat Analyze by
Background: Because industry started leveraging AI capabilities for routine cases like general customer support, a new threat has emerged: data poisoning. Core attack category: Based on MITRE ATLAS, [...] Read more

Forensics of Operating System Non-Agentic AI Activity Traces

- Posted in Incident Response by
Background: As we have finished our research on agentic AI solutions, let's deep dive into one of the common non-agentic AI features implemented in the latest Windows OS. The name of this feature is [...] Read more