Threat Detection Software: A Deep Dive

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Defending against current cyber threats is a massive problem for practically any firm as the threat environment grows and increases with more complex assaults than ever before. It’s easy to write detection rules in Panther.

The capacity of an organization to effectively identify threats, whether to the network, an endpoint, another asset, or an application – including cloud infrastructure and assets – is known as threat detection. Threat detection at scale examines the whole security infrastructure to spot malicious activities that might jeopardize the ecosystem’s security.

Threat detection is supported by a variety of technologies, but the goal is to have as much data as possible to improve your security visibility. Threat detection is impossible if you don’t know what’s going on with your systems.

Protecting yourself from dangers necessitates the use of appropriate security software.
What exactly does threat detection software imply?

Software was used to guard against many types of malware in the early days of threat detection. Threat detection, on the other hand, has grown into a considerably broader area.

Using Indicators of Compromise, modern threat detection software handles the issues of recognizing threats, discovering real warnings among the noise, and tracking bad actors (IoCs).

Threat detection software now works across the whole security stack to provide security professionals with the visibility they need to take the necessary steps and actions.
Which features should threat detection software have?

Good threat detection software should be the cornerstone of a strong threat detection program that incorporates detection technologies for security events, network events, and endpoint events to meet the needs of a continuously changing workplace.

Data from throughout the network, including access, authentication, and vital system logs, should be pooled for security incidents. It’s all about recognizing traffic patterns and monitoring traffic between and within trustworthy networks and the internet when it comes to network events. Threat detection systems for endpoints should collect any forensic evidence and offer insights about possibly harmful occurrences on user workstations to aid in threat investigation.

Finally, reliable threat detection technologies enable security teams to develop detections that check for events and patterns of activity that may indicate malicious activities. Detection engineers are commonly included in security teams, and they are in charge of developing, testing, and refining detections to inform the team of dangerous behavior while minimizing false positives.

Detection engineering has evolved to include software development workflows and best practices to assist security teams in developing scalable methods for creating and strengthening detections. To characterize this method, the phrase “Detection as Code” has been coined. Teams gain higher-quality alerts by treating detections as well-written code that can be tested, verified into source control, and code-reviewed by peers, decreasing fatigue and promptly identifying suspicious behaviour.

Whether it’s an XDR platform, a next-generation SIEM, or an IDS, security teams should be able to create highly customized detections, have a built-in testing framework, and use a consistent CI/CD process.
When it comes to threat detection, the battle between conventional software and SaaS is raging.

While both conventional software and SaaS supply “software,” their approaches are vastly different.

Installing a piece of software and running it locally is the usual technique. However, this has a number of disadvantages, including high maintenance costs, scalability issues, and security concerns.

Many SaaS services, on the other hand, will automatically update themselves when new versions are released. Vendors also often provide more consistent performance and service levels.
The advantages of cloud-native SaaS for threat detection

Because security teams are generally understaffed compared to their general IT colleagues, they may have been reluctant to adopt cloud native SaaS solutions.

Business executives sometimes mistakenly believe that their SaaS suppliers are responsible for security, which leads to a concentration on on-premise infrastructure and apps.

However, as their infrastructure becomes increasingly cloud-based, installing a SaaS solution is the more viable plan for today and tomorrow.

Lower expenses and more business agility were mentioned before, but the most important benefit for security teams is quicker detection and remediation.

When new risks and bad actors appear on a daily basis, a company’s security environment must allow for quick innovation. Security teams may benefit from serverless technology’s scalability, throughput, and capacity to swiftly analyze large volumes of data.

Most significantly, cloud-native SaaS enables businesses to be proactive when it comes to threat identification and management. For proactive and responsive threat management, modern SaaS security systems often incorporate well-honed procedures, tracking, and a single pane of glass visibility in a centralized hub.

Traditional solutions are not equipped to manage the increasing volume of security-relevant data that security teams must gather and evaluate in order to identify threats.

With well-honed procedures, tracking, and a single pane of glass visibility in a centralized center for proactive and responsive threat management, these systems take threat detection software to new heights.
Panther’s threat detection software is cloud-native.

Panther’s serverless approach to threat detection and response allows your security team to discover attacks in real time by examining logs as they are consumed, allowing you to detect threats as quickly as possible. You’ll also learn how to use Python to create high-fidelity detections and how to use typical CI/CD procedures to create, test, and update detections.

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