Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Open NDR static file analysis powered by YARA

Enhance utility of evidence Identify malicious files from network activity and derive the right context without increasing false positives Improve detection coverage Analyze large volumes of files for detecting threats that can be missed by EDR Drive tool consolidation Consolidate tools and eliminate the need for file extraction, storage and custom scripts.

How YARA rules can complement NDR for malware detection

The Verizon 2024 Data Breach Investigations Report found that system intrusion is the leading attack pattern for the third consecutive year, accounting for 36% of breaches. System intrusion largely consists of a threat actor using hacking techniques and malware to infiltrate the victim organization. Following a successful intrusion, the attacker continues on a multi-stage process: The longer an attacker remains undetected, the greater their opportunity to find a target and extract data.

It's Typhoon Season: Attackers are deliberately evading EDR. What can you do about it?

Over the past year, several sophisticated cyber-espionage campaigns have grabbed the attention of our industry and challenged defenders and vendors alike with advanced tactics, techniques, and procedures (TTPs). One of the most visible campaigns is Volt Typhoon, named by the Microsoft threat intelligence team in May 2023 and attributed to Chinese state-sponsored threat actors.

Sweet Security Introduces Evolutionary Leap in Cloud Detection and Response, Releasing First Unified Detection & Response Platform

Sweet Security Introduces Evolutionary Leap in Cloud Detection and Response, Releasing First Unified Detection & Response Platform. With Sweet, customers can now unify detection and response for applications, workloads, and cloud infrastructure.

Artificial Intelligence in Cybersecurity: Threat or Advantage?

In today's hyperconnected world, cybersecurity stands as the first line of defense against the growing tide of cyber threats. With billions of devices connected globally, protecting sensitive information has never been more critical-or complex. Enter artificial intelligence (AI), a technological marvel capable of revolutionizing cybersecurity. But as with all powerful tools, AI is a double-edged sword. It holds incredible potential to bolster defenses yet can also amplify the capabilities of cybercriminals.

AI-Driven Cloud Detection Engineering: Turning Security Telemetry Into Action

Amal Mammadov is a cloud security practitioner and detection engineering specialist whose work sits at the intersection of threat intelligence, cloud-native architecture, and security operations. In this interview, he outlines why most organisations are losing ground despite heavy security investments and what it actually takes to build detection programmes that produce outcomes.

Reduce time to triage by up to 50% with Corelight's new Guided Triage capability

Security Operations Centers (SOCs) are under immense pressure to ensure no attack goes unnoticed. At Corelight, we’re being approached daily to help bring in network visibility. For many though, visibility isn’t enough. SOCs are already overloaded and Tier 1 Analysts often lack network expertise. Modern network visibility has to be easy to use and designed for maximizing SOC efficiency. For that, we built Guided Triage.

Leveraging Custom IOC Feeds for Enhanced Threat Detection

Indicators of Compromise (IOCs) are vital components in cybersecurity, representing digital clues or evidence that signal a potential security breach or malicious activity in a computer system or network. Think of them as the fingerprints left behind by cybercriminals during or after a cyber-attack. Examples of common IOCs are: Security teams use IOCs as red flags to identify and mitigate threats before they cause significant damage.