Security News

To address these challenges, organizations are turning to predictive analytics and Machine Learning driven network security solutions as essential tools for securing their networks against cyber threats and the unknown bad. ML-driven network security solutions in cybersecurity refer to the use of self-learning algorithms and other predictive technologies to automate various aspects of threat detection. In summary, the mentioned drawbacks of rule-based security solutions highlight the significance of taking a more holistic approach to network security, which should nowadays include ML-powered Network Detection and Response solutions to complement traditional detection capabilities and preventive security measures.

Applying patches to fix these vulnerabilities across an organisation's entire network of devices can be time-consuming and complex to implement - but it is essential. The previous two threats are usually exploited to breach networks and steal information, but a Denial-of-Service attack is meant to shut down your network and make it inaccessible.

Having 20/20 visibility is paramount to network security, because it helps organizations discover and understand what data they are securing and from whom they're securing it. To unlock these benefits requires collaboration between the networking and security teams with network visibility as the glue.

Security researchers have developed an implementation of the Sysinternals PsExec utility that allows moving laterally in a network using a single, less monitored port, Windows TCP port 135. While the original PsExec is available in the Sysinternals utility suite, there is also an implementation in the Impacket collection of Python classes for working with network protocols, which has support for SMB and other protocols like IP, UDP, TCP that enable connections for HTTP, LDAP, and Microsoft SQL Server.

Most organizations are deep into a phase of major growth and evolution that's called "Digital acceleration." The goal of digital acceleration for organizations is to adapt and thrive-despite the global pandemic and the nonstop introduction of new cyber threats. Digital acceleration has led to a rapid expansion of attack surfaces and creation of new network edges, including LAN, WAN, 5G, and multi-cloud.

Network professionals feel confident with their security and compliance practices but data suggests that they also leave their organizations open to risk, which is costing a significant amount of revenue, according to Titania. Companies are prioritizing firewall security and chronicle a fast time to respond to misconfigurations when detected in annual audits.

Intel has released a reference design for a plug-in security card aimed at delivering improved network and security processing without requiring the additional rackspace a discrete appliance would need. The NetSec Accelerator Reference Design [PDF] is effectively a fully functional x86 compute node delivered as a PCIe card that can be fitted into an existing server.

Amid the COVID-19 crisis, the global market for network security sandbox estimated at $4 billion in the year 2020, is projected to reach a revised size of $43 billion by 2027, growing at a CAGR of 40.2% over the period 2020-2027, according to ResearchAndMarkets. One of the segments analyzed in the report, is projected to record 38.4% CAGR and reach $24 billion by the end of the analysis period.

The ongoing explosion of ransomware events and breaches is elevating network security to a top corporate priority. Bad Practice 5: "A flat network is a simple network."

Threats to the supply chain can take many forms, including malware attacks, piracy, unauthorized access to enterprise resources and data, and unintentional or maliciously injected backdoors in software source code. This means putting security at the center of the supply chain and making it a foundational element.