Today, over 300 Federal Agencies have fully adopted the CISA and DHS “Continuous Diagnostics and Mitigation” (CDM) Cybersecurity program as an essential, core attribute to their Cybersecurity Defense operations. The reason is compelling, with the emergence of CDM and its adoption of Generative Artificial Intelligence (AI), it presents a promising avenue to fortify cybersecurity defenses which enhance the management, monitoring and mitigation of risk and vulnerabilities across and entire ecosystem. Anamo is CDM and it is leading the charge in the rapid adoption of AI and predictive cybersecurity risk extrapolation.
In today’s digitally interconnected world, the evolution of technology has brought about both unprecedented technical challenges and opportunities as well. One such challenge is the ever-growing threat landscape posed by cyberattacks. As businesses embrace digital transformation and increasingly rely on interconnected platforms and ecosystems, the need for robust cybersecurity measures has become more critical than ever. Subsequently, the need for “predictive cybersecurity threat extrapolation” is greater than ever and delivering this functionality has become the principal objective of Anamo’s CDM program. Anamo is CDM, and below is an example where CDM and AI are being assembled to simultaneously capture the Numeric (Linux) and symbolic (Windows) Permissions of Users and Groups, and associate Path, across an entire system regardless of OS (Operating System) type.
ANAMO USER & GROUP PERMISSION INTERROGATION
Description:
- Anamo CDM harnesses ML to harvest unique User and Group ID information to identify, track, monitor, and alert upon any identity for unique profile changes (add, delete, modify).
- Anamo’s newest development of CDM is focused upon harnessing Generative Artificial Intelligence (AI) to extrapolate risk and alert Admins in a predictive fashion to minimize the Dwell-Time of a technical adversary, eliminate suspect users, and remediate the attack vector of a network device where Anamo is present.
Who Are The Benefactors of CDM with ML and AI
Who will benefit immediately from the deployment of (Anamo) CDM? The list is rapidly increasing: https://www.cisa.gov/news-events/directives.
While AI technology holds tremendous potential for innovation across various domains, its application in cybersecurity is particularly noteworthy. Generative AI, a subset of artificial intelligence, refers to algorithms capable of generating new content, images, or data resembling real-world examples. Anamo CDM is now being enhanced with ML and AI and from the Data Lake Anamo manages, delivering a predictive capability in now in reach of private businesses and governments alike.
One of the primary advantages of Generative AI in cybersecurity lies in its ability to proactively identify and address vulnerabilities within platform ecosystems. Traditional cybersecurity measures often rely on reactive approaches, such as signature-based detection systems, which are inherently limited in their ability to anticipate and prevent emerging threats. In contrast, Anamo CDM, enhanced with Generative AI, leverages advanced machine learning algorithms to analyze vast amounts of data, detect patterns, and predict potential vulnerabilities before they can be exploited by malicious actors.
In the next edition of our monthly Blog, we will present addition information and take a much deeper dive into the technical capabilities of Anamo, CDM, ML and of course, AI which will include:
1. Predictive Threat Intelligence:
2. Automated Vulnerability Detection:
3. Adaptive Defense Mechanisms:
4. Threat Simulation and Response: