From Detection to Prediction: Applying EPSS matrix in Incident Response Post-Mortem Analysis

- Posted in Incident Response by
Background: EPSS (Exploit Prediction Scoring System) is a specialized model and scoring framework that predicts the likelihood of real-world exploitation based on observed exploitation activity, [...] Read more

Securing AI RAG: How to Mitigate Vector and Embedding Weaknesses

- Posted in Other by
Background: Before deep dive into the section lets define what is RAG in AI scope . R – Retrieval: Before processing a prompt, the system searches and retrieves relevant data from internal knowledge [...] Read more

Leaked Instructions, Expanded Attack Surface: The Hidden Risks of Artificial Intelligence

- Posted in Threat Analyze by
Background: When using any AI model, vendors implement guardrails to prevent abusive use and to ensure the model operates within its intended boundaries. These guardrails help block harmful, unsafe, [...] Read more

When Malware Learns: Artificial Intelligence and Adaptive Threats

- Posted in Threat Analyze by
Background: Traditional polymorphic malware followed predictable mutation patterns designed to evade signature-based detection while maintaining the same functionality. With the introduction of AI, [...] Read more

From Assistant to Actor: The Dangers of Excessive AI Agency

- Posted in Hardenings by
Background: Automation continues to drive efficiency, but agentic AI introduces new security challenges. AI agents may have extensive access to systems and the ability to perform actions [...] Read more

Defending LLMs Against LoRA-Enabled Supply Chain Attacks

- Posted in Hardenings by
Background: As an LLM trainer, it is a best practice to use 2–3 isolated environments for LLM training. One of the major risks in this process is supply chain attacks, and LoRA (Low-Rank Adaptation) [...] Read more

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
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