.png)
.png)
In an era where cyber threats are evolving at an unprecedented pace, the need for emerging threat intelligence and response mechanisms has never been more critical. At AiStrike, we've pioneered a custom Large Language Model (LLM) designed to stay ahead of the curve by identifying and analyzing the latest emerging threats, indicators of compromise (IOCs), and tactics, techniques, and procedures (TTPs) used by malicious actors. The AI automations also include the ability to simulate an attack pattern and understand business context to improve risk-based prioritization. Below is a sneak-peak at how we have developed this differentiated approach to cloud exposure management and how it’s supercharging cloud security operations.
Key Capabilities of Our Custom LLM
Web Scraping for Real-time Updates:
The LLM continuously scans thousands of sources to identify new threats, vulnerabilities, and threat actor campaigns. This includes blog posts, threat reports, and security bulletins. Security teams can automatically stay updated on emerging cyber threats, freeing up time and resources for more strategic work.
Web Scraping for Real-time Updates:
The LLM continuously scans thousands of sources to identify new threats, vulnerabilities, and threat actor campaigns. This includes blog posts, threat reports, and security bulletins. Security teams can automatically stay updated on emerging cyber threats, freeing up time and resources for more strategic work.
Web Scraping for Real-time Updates:
The LLM continuously scans thousands of sources to identify new threats, vulnerabilities, and threat actor campaigns. This includes blog posts, threat reports, and security bulletins. Security teams can automatically stay updated on emerging cyber threats, freeing up time and resources for more strategic work.
Web Scraping for Real-time Updates:
The LLM continuously scans thousands of sources to identify new threats, vulnerabilities, and threat actor campaigns. This includes blog posts, threat reports, and security bulletins. Security teams can automatically stay updated on emerging cyber threats, freeing up time and resources for more strategic work.
.png)
At AiStrike, we've pioneered a custom Large Language Model (LLM) designed.
Key Capabilities of Our Custom LLM
In an era where cyber threats are evolving at an unprecedented pace, the need for emerging threat intelligence and response mechanisms has never been more critical. At AiStrike, we've pioneered a custom Large Language Model (LLM) designed to stay ahead of the curve by identifying and analyzing the latest emerging threats, indicators of compromise (IOCs), and tactics, techniques, and procedures (TTPs) used by malicious actors. The AI automations also include the ability to simulate an attack pattern and understand business context to improve risk-based prioritization. Below is a sneak-peak at how we have developed this differentiated approach to cloud exposure management and how it’s supercharging cloud security operations.
Web Scraping for Real-time Updates:
The LLM continuously scans thousands of sources to identify new threats, vulnerabilities, and threat actor campaigns. This includes blog posts, threat reports, and security bulletins. Security teams can automatically stay updated on emerging cyber threats, freeing up time and resources for more strategic work.
Web Scraping for Real-time Updates:
The LLM continuously scans thousands of sources to identify new threats, vulnerabilities, and threat actor campaigns. This includes blog posts, threat reports, and security bulletins. Security teams can automatically stay updated on emerging cyber threats, freeing up time and resources for more strategic work.
.webp)
.png)
.svg)
.png){kind=icon}
