Cisco Security

FEBRUARY 14, 2022

SASE data shows promise. While the study was produced by Cisco, the data collection and analysis were conducted by third parties to ensure objectivity.) Another two of the “Fab Five” best practices that lead to positive security outcomes are accurate threat detection and timely incident response.

Data collection 131

Data collection Architecture Threat Detection Technology 131

eSecurity Planet

JULY 31, 2024

Who Should Use EDR Solutions EDR is best suited for enterprises that require advanced, real-time threat detection and response. Businesses that require advanced threat detection: EDR provides sophisticated tools for recognizing and responding to complex, developing threats effectively.

Antivirus 118

Antivirus Threat Detection Malware Software 118

CyberSecurity Insiders

SEPTEMBER 22, 2022

Instead, many are looking to do a better job of identifying and mitigating threats before they can harm their business. SIEMs , in their inherent, built-in bias to complete data collection, means that a security team looking to identify threats will wade through oceans of irrelevant log data in the hopes of uncovering a danger.

Data collection 139

Data collection Technology Threat Detection Marketing 139

IT Security Guru

OCTOBER 2, 2023

MITRE ATT&CK frameworks ensure you have the correct data sources by telling you which to collect from logs, security systems, and threat intelligence. Automation allows you to save parameters for data collection of the right sources to apply for future hunts.

Technology 133

Technology Penetration Testing Threat Detection Data collection 133

SecureWorld News

FEBRUARY 18, 2021

Augusto Barros, Vice President of Solutions at Securonix , presented at SecureWorld on the challenge of detecting threats in the cloud. The challenge of detecting threats in the cloud. Threat detection tools before the cloud focused primarily on networks, endpoints, and logs.

Threat Detection 98

Threat Detection Firewall Data collection Internet 98

Digital Shadows

MARCH 5, 2025

By automating routine tasks and providing real-time threat detection and response, agentic AI helps security teams focus on more strategic activities. Applications of Agentic AI in Security Operations Agentic AI is widely used in automated threat detection systems that analyze network traffic and respond to anomalies instantly.

Artificial Intelligence 52

Artificial Intelligence Threat Detection Risk Architecture 52

CyberSecurity Insiders

OCTOBER 28, 2021

Cybersecurity automation gives organizations the ability to perform threat detection and incident response at scale. Many security professionals spend hours each day manually administering tools to protect enterprise data. For many organizations, spending so much time collecting data is not conducive to innovation and growth.

Cybersecurity 134

Cybersecurity Data privacy Small Business Threat Detection 134

Cisco Security

JANUARY 9, 2023

Achieving his tasks accurately is tightly coupled with his ability to scope and understand the impact of an incident and to gather all possible data from the environment which can be associated with an incident including devices, users, files hashes, email ids, domains IPs and others. 0014-SCA-Isolate endpoints from alerts ).

Data collection 145

Data collection Threat Detection Firewall Cybersecurity 145

eSecurity Planet

SEPTEMBER 24, 2024

Integrating with other security solutions: Combine EDR with SIEM systems, threat intelligence feeds , and other tools to improve overall threat detection and response capabilities throughout your security ecosystem. This capacity helps companies evaluate previous data to predict and avoid future attacks.

Antivirus 110

Antivirus Threat Detection Small Business Technology 110

Security Affairs

SEPTEMBER 18, 2020

CERT-GIB’s report is based on data collected and analyzed by the Threat Detection System (TDS) Polygon as part of operations to prevent and detect threats distributed online in H1 2020. Opened email lets spy in.

Phishing 129

Phishing Ransomware Spyware Banking 129

CyberSecurity Insiders

NOVEMBER 24, 2021

Cybersecurity automation gives organizations the ability to perform threat detection and incident response at scale. Many security professionals spend hours each day manually administering tools to protect enterprise data. For many organizations, spending so much time collecting data is not conducive to innovation and growth.

Cybersecurity 122

Cybersecurity Data privacy Small Business Threat Detection 122

Cisco Security

JUNE 30, 2021

Secure Network Analytics uses flow telemetry such as NetFlow, jFlow, sFlow, IPFIX, and packet-level data and helps in reducing the risk to an organisation. IDENTIFY – Asset Management (H/W and S/W inventories; communication and data flow are mapped). NIST CSF Categories and Sub-Categories. AE-1 and DE.

Threat Detection 112

Threat Detection Risk Internet Internet 112

CyberSecurity Insiders

DECEMBER 18, 2021

It also empowers business owners to easily see, understand and act on contextual intelligence using scoring frameworks proven to stop insider threats, prevent data loss, maximize software investments and protect the workforce, wherever they may be.

Risk 134

Risk Social Engineering Surveillance Data collection 134

The Last Watchdog

JULY 30, 2018

Each new cyber attack is more sophisticated than the last, leaving traditional security measures unable to spot the next threat. Security analysts need the ability to view attacks as they unfold by enriching data collected from across the business with contextual and behavioral insights. Active learning.

CISO 140

CISO Cyber Attacks Data collection Cybersecurity 140

eSecurity Planet

SEPTEMBER 13, 2021

LogRhythm Threat Lifecycle Management (TLM) Platform delivers a coordinated collection of data analysis and incident response capabilities to enable organizations around the globe to rapidly detect, neutralize and recover from security incidents. Key Features: Automated threat detection. ThreatConnect.

Threat Detection 126

Threat Detection Risk Firewall Cybersecurity 126

CyberSecurity Insiders

SEPTEMBER 21, 2021

They include: • Threat Detection that combines behavioral anomalies with policy-based rules. • Enterprise visibility to ensure that all data collected integrates to a single pane of glass. . • Enterprise visibility to ensure that all data collected integrates to a single pane of glass.

Energy and Utilities 101

Energy and Utilities Threat Detection Manufacturing Technology 101

SecureWorld News

AUGUST 23, 2024

In the wake of this incident, it is likely that Halliburton and other companies in the sector will reevaluate their cybersecurity strategies, focusing on enhancing threat detection, response capabilities, and incident management processes. Anomaly-based detection is best suited to combat these types of threats," Fowler continued.

Cyber Attacks 123

Cyber Attacks Energy and Utilities Risk Technology 123

CyberSecurity Insiders

APRIL 27, 2022

For this reason, UEBA works particularly well as an automated early threat detection system. UEBA can be characterized by its application of machine learning techniques and algorithms in detecting cyberattacks. Data Presentation. As this tech becomes more developed, so too will the scope of UEBA.

Cybersecurity 99

Cybersecurity Threat Detection Marketing B2B 99

eSecurity Planet

APRIL 23, 2021

SentinelOne is an advanced EDR tool that uses AI-powered threat detection and response. When threats are detected, it can isolate, quarantine and even remediate issues without human intervention. Part of what makes SentinelOne such a powerful solution is its analytics-based approach to threat detection and response.

Threat Detection 58

Threat Detection Data collection IoT Malware 58

SecureWorld News

APRIL 3, 2023

The data collected from various sources is then analyzed using various tools. Main features of SDL There are five key features that SDL should have: The key component of SDL is the automation of data collection and parsing. Viewing this data manually is unrealistic. Automation of adding context for security logs.

Unstructured Data 98

Unstructured Data Data collection Information Security Backups 98

Security Affairs

NOVEMBER 19, 2019

CERT-GIB’s report is based on data collected and analyzed by the Threat Detection System (TDS) Polygon as part of operations to prevent and detect threats distributed online in H1 2019 in more than 60 countries. More than 80% of all malicious files were disguised as .zip rar archive files. Dangerous email.

Ransomware 92

Ransomware Antivirus Malware Banking 92

Cisco Security

AUGUST 26, 2021

The Cigent D3E integration with Cisco Secure Endpoint provides a highly effective automated response mechanism to threats detected on Windows 10 endpoints. Varonis is a pioneer in data security and analytics, specializing in software for data protection, threat detection and response, and compliance.

Technology 145

Technology Firewall VPN Authentication 145

Centraleyes

DECEMBER 1, 2024

HighBond by Diligent HighBond consolidates audit, compliance, risk, and security management into a single platform, with real-time data collection and reporting. The platform’s scalability is frequently highlighted as a key strength.

Risk 52

Risk B2B Data privacy B2C 52

Security Affairs

NOVEMBER 15, 2018

Information and indicators of attack (IoAs) from 23 October and 15 November attacks were quickly uploaded to Group-IB Threat Intelligence, which allowed to warn Group-IB clients among Russian banks about the potential threat. Group-IB system blocked this threat in inline mode. .

Banking 111

Banking Computers and Electronics Phishing Cybercrime 111

eSecurity Planet

JANUARY 26, 2022

For larger organizations, the PRTG Enterprise Monitor can monitor thousands of devices for a distributed environment offering auditable data collection and service-based SLA monitoring through the ITOps Board. In 2022, the Arizona-based vendor specializes in network performance monitoring and threat analysis with its Observer platform.

Marketing 121

Marketing DDOS Threat Detection DNS 121

Cisco Security

AUGUST 26, 2022

The AlienApp for Cisco Secure Endpoint enables you to automate threat detection and response activities between USM Anywhere and Cisco Secure Endpoint. Data collected from Umbrella can then be routed to Sumo’s Cloud SIEM, where it is then automatically normalized and applied to our rule’s engine. Happy integrating!

Firewall 145

Firewall Authentication Passwords Threat Detection 145

eSecurity Planet

OCTOBER 11, 2022

Essentially, UEBA can work, but it won’t necessarily work as a one-size-fits-all solution to your cybersecurity threat detection needs. To focus on the cybersecurity aspect first, there is the problem of what data your UEBA solution is taking in. Transparency is key whenever you’re collecting user data.

Advertising 126

Advertising Cybersecurity DDOS Data breaches 126

eSecurity Planet

NOVEMBER 10, 2023

Real-Time Threat Detection: Log monitoring detects possible threats and vulnerabilities in real-time, enabling organizations to respond quickly to security breaches. Threat Detection To avoid breaches and cyber attacks, it is critical to identify and mitigate urgent security concerns.

Risk 114

Risk Threat Detection Firewall Network Security 114

CyberSecurity Insiders

MAY 2, 2023

It amends the 2018 California Consumer Privacy Act (CCPA) introduced in response to rising consumer data privacy concerns. It has significantly impacted data collection and handling practices, giving consumers more control over how businesses handle their data. How does CPRA impact business operations?

Data collection 52

Data collection Data breaches Password Management Data privacy 52

eSecurity Planet

MARCH 17, 2023

Vulnerability Management Product Guides 8 Best Vulnerability Scanner Tools Top 10 Open Source Vulnerability Assessment Tools 12 Top Vulnerability Management Tools Threat Intelligence and Detection At the most basic level, threat detection strategies and tools monitor networks for suspicious and anomalous activity.

Network Security 121

Network Security Penetration Testing Firewall Software 121

Anton on Security

NOVEMBER 17, 2022

We can add: also for security and threat “detectability” and “investigability” (can we just say observability ?). In detection content? Metrics and associated data collection? And if you have to make a 30 box alert triage process flowchart, then don’t make a 70 box flowchart? Where does complexity hide in your SOC?

Engineering 100

Engineering Software Data collection Architecture 100

Digital Shadows

OCTOBER 29, 2024

Rapid, Tailored, and Efficient Security Operations Agentic AI takes the outcomes of generative AI, like alert data collection and synthesis, and puts them to work, autonomously managing and mitigating threats in real time.

Threat Detection 52

Threat Detection Data collection Data privacy Phishing 52

Digital Shadows

OCTOBER 24, 2024

Rapid, Tailored, and Efficient Security Operations Agentic AI takes the outcomes of generative AI, like alert data collection and synthesis, and puts them to work, autonomously managing and mitigating threats in real time.

Threat Detection 52

Threat Detection Data collection Data privacy Phishing 52

eSecurity Planet

AUGUST 15, 2022

Exabeam Fusion is the company’s threat detection, investigation, and response (TDIR) solution bringing together automated , next-generation SIEM and XDR capabilities. Beyond centralized log management, Exabeam Fusion includes a stack of security features to aid in an era of advanced threats. Exabeam Fusion.

Software 115

Software Small Business Marketing Firewall 115

eSecurity Planet

MAY 5, 2021

Despite the similarity in name to endpoint detection and response (EDR) technology, MDR providers are more like general managed security service providers (MSSPs) , operating on all layers of an organization’s infrastructure, including the network, endpoints, applications and other IT resources. Secureworks. Armor Anywhere.

Threat Detection 58

Threat Detection Technology Artificial Intelligence Engineering 58

Centraleyes

OCTOBER 17, 2024

The Role of Cyber Threat Intelligence Platforms Given the sheer volume of threat data available, managing and making sense of it requires more than manual effort. This is where Threat Intelligence Platforms (TIPs) come into play.

Threat Detection 52

Threat Detection Cyber threats Artificial Intelligence Risk 52

Security Boulevard

APRIL 1, 2025

Wizs agentless data collection was key to this unification: by scanning the entire stack via cloud APIs with no agents to deploy, Wiz quickly populates the graph with comprehensive metadata from multicloud environments ( The World is a graph: How Wiz reimagines cloud security using a graph in Amazon Neptune | AWS Database Blog ).

Risk 52

Risk Internet Internet Cybersecurity 52