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 111

Antivirus Threat Detection Small Business Technology 111

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

eSecurity Planet

NOVEMBER 10, 2023

Log monitoring is the process of analyzing log file data produced by applications, systems and devices to look for anomalous events that could signal cybersecurity, performance or other problems. These security logs document the events and actions, when they happened, and the causes of errors.

Risk 115

Risk Threat Detection Firewall Network Security 115

Cisco Security

AUGUST 26, 2021

Using the Cisco Secure Endpoint APIs, partner integrations provide analysts with rich threat information and actions on endpoint events; like retrieving endpoint information, hunting indicators on endpoints, searching events, etc. ArticWolf, BlueCat and Varonis ingest Umbrella data to enrich data being analyzed.

Technology 144

Technology Firewall VPN Authentication 144

The Last Watchdog

JULY 30, 2018

UEBA aims to identify patterns and detect anomalous user behavior to identify potential security issues. Other vendors position themselves in the Security Information and Event Management (SIEM) Category. SIEM vendors collect and analyze information on networks, devices and users to identify security threats.

CISO 140

CISO Cyber Attacks Data collection Cybersecurity 140

eSecurity Planet

AUGUST 15, 2022

Security Information and Event Management (SIEM) is a crucial enterprise technology that ties the stack of cybersecurity systems together to assess threats and manage risks. Beyond centralized log management, Exabeam Fusion includes a stack of security features to aid in an era of advanced threats. Exabeam Fusion.

Software 116

Software Small Business Marketing Firewall 116

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

SecureWorld News

APRIL 3, 2023

The data collected from various sources is then analyzed using various tools. SDL simplifies such processes as automated data retrieval through APIs or other means, data parsing, and information accumulation. Viewing this data manually is unrealistic. One hundred thousand operations among them have a "red" level.

Unstructured Data 97

Unstructured Data Data collection Information Security Backups 97

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 120

Cyber Attacks Energy and Utilities Risk Technology 120

CyberSecurity Insiders

SEPTEMBER 21, 2021

They also don't have event logs or audit trails. As a result, incident detection and response in an OT environment is very different than in an IT environment. They include: • Threat Detection that combines behavioral anomalies with policy-based rules. whether done through the network or locally. Conclusion.

Energy and Utilities 101

Energy and Utilities Threat Detection Manufacturing Technology 101

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 122

Network Security Penetration Testing Firewall Software 122

eSecurity Planet

APRIL 23, 2021

SentinelOne is an advanced EDR tool that uses AI-powered threat detection and response. They recently launched a research division made up of security experts to help protect against evolving advanced threats. When threats are detected, it can isolate, quarantine and even remediate issues without human intervention.

Threat Detection 59

Threat Detection Data collection IoT Malware 59

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. The biggest strength of UEBA is that it allows for 24/7 automated data security.

Cybersecurity 99

Cybersecurity Threat Detection Marketing B2B 99

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 122

Marketing DDOS Threat Detection DNS 122

eSecurity Planet

MAY 19, 2023

Encryption ensures that data remains confidential and secure, even if intercepted or accessed by unauthorized parties. Logging: Logs are records of events and activities within an application or resource that helps with monitoring and audits to identify common and unusual patterns of user behavior.

Software 105

Software Risk Encryption Marketing 105

eSecurity Planet

OCTOBER 20, 2023

Backup and Disaster Recovery: Data backup and disaster recovery plans assure data availability and business continuity in the event of data loss or service failures. Have a Recovery Plan Create an effective response strategy in the event of a security compromise.

Backups 122

Backups Firewall Encryption Architecture 122

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

SC Magazine

JUNE 9, 2021

Visibility requires a combination of breadth and depth of coverage, and the fidelity of the signal generated—the capacity to zero-in on security relevant events to create the information for an organization to take the actions to mitigate risks.

Risk 53

Risk Data collection Architecture Threat Detection 53

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

JANUARY 12, 2024

Incident detection: Uses real-time event correlation to identify threats. Uses user and entity behavior analytics (UEBA) and threat analytics to detect advanced threats. Threat hunting: Searches for advanced security threats. Enables real-time event response and log search features.

Technology 119

Technology Encryption Threat Detection Marketing 119

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 59

Threat Detection Technology Artificial Intelligence Cybersecurity 59

Digital Shadows

FEBRUARY 13, 2023

Enhanced visibility across the environment, including alerting, using granular endpoint data. In the event of ransomware running on a host in the environment, an EDR could tell you where the infected file was downloaded from, what files it encrypted, and what other hosts in the network it communicated with to spread all from one screen.

Threat Detection 40

Threat Detection Technology Firewall Software 40

Centraleyes

OCTOBER 17, 2024

By understanding the tactics of potential attackers, organizations can anticipate threats and implement preemptive measures. Incident Response: In the event of a breach, TIPs offer enriched context about the attack, including motives and methods. This is where Threat Intelligence Platforms (TIPs) come into play.

Threat Detection 52

Threat Detection Cyber threats Artificial Intelligence Risk 52

Security Boulevard

JANUARY 18, 2024

Enhanced behavioral threat response capabilities - Which will provide SecOps personnel with the capability to more effectively prioritize, triage, and analyze API related security events, and drastically reduce mean time to respond and resolve. More API sprawl means more opportunity for threat actors targeting APIs.

Risk 59

Risk Government Threat Detection Artificial Intelligence 59

McAfee

NOVEMBER 12, 2020

More often we find the role of SOC analyst to be one of data wrangler – asking and answering key questions of the ‘data’ to determine if an attack is evident and if so, what is the scope and impact of the adversarial engagement.

Engineering 84

Engineering Data collection Risk Cyber Risk 84