Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Detection as Code: How To Embed Threat Detection into Code

Like many concepts at the intersection of software engineering and cybersecurity, threat detection has emerged as a recent candidate to adopt the ‘as-code’ discipline to detection. This is driven by two key factors: Detection as Code is a new paradigm that brings a structured, systematic and flexible methodology for threat detection inspired by the as-code best practice of software engineering, commonly adopted in DevOps and Agile software development frameworks.

Baseline Hunting with the PEAK Framework

Baselines are an essential part of effective cybersecurity. They provide a snapshot of normal activity within your network, which enables you to easily identify abnormal or suspicious behavior. Baseline hunting is a proactive approach to threat detection that involves setting up a baseline of normal activity, monitoring that baseline for deviations, and investigating any suspicious activity.

Threat Actors in 2023: Who They Are & How To Defend Against Bad Actors

Risks are everywhere. Online, in real life. Digital transformation and the rapid integration of cloud-based technologies has been met with an unprecedented increase in cybersecurity risks. In most cases, standard cybersecurity best practices and a strong mechanism for Identity and Access Management will take care of most exploits, vulnerabilities and human errors that lead to a data leak.

Centralized Log Management for ANSSI and CIIP Framework Compliance

Decree No. 2009-834 established ANSSI (Agence nationale de la sécurité des systèmes d’information) as the National Cybersecurity Agency of France in 2009. In 2013, Article 22 of the Military Programming Law defined ANSSI’s functions and responsibilities, giving the agency regulatory and enforcement powers. Further, ANSSI is France’s primary point of contact with the larger European Union (EU) Network and Information Systems (NIS) Directive, with Decree No.

Chaos AI Assistant (AWS Security Lake Analysis)

Now you can actually have a conversation with your data! The Chaos AI Assistant is a breakthrough feature that elevates log and event data analytics. Seamlessly integrating with the ChaosSearch Platform, it utilizes AI and Large Language Models (LLMs), enabling you to talk to your data to unveil actionable insights.

Chaos AI Assistant (Security Analysis via Chain of Thought)

Now you can actually have a conversation with your data! The Chaos AI Assistant is a breakthrough feature that elevates log and event data analytics. Seamlessly integrating with the ChaosSearch Platform, it utilizes AI and Large Language Models (LLMs), enabling you to talk to your data to unveil actionable insights.

Machine Learning in Security: Detect DNS Data Exfiltration Using Deep Learning

Since the Domain Name System (DNS) protocol is foundational for internet functionality, DNS traffic is allowed to move through firewalls without much scrutiny unlike HTTPS, FTP and SMTP. Malicious actors have successfully been able to exploit this advantage to transfer data between networks, which is beyond the original intention of DNS protocol.