SecureWorld News

JUNE 24, 2024

Emerging trends such as Artificial Intelligence, Machine Learning, Network Observability, Self-Sovereign Identity, etc. Resilience protocols and measures must be designed to ensure business continuity and operational service assurance in the event of a breach.

IoT 109

IoT InfoSec Artificial Intelligence Risk 109

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. The IBM Security QRadar Security Information and Event Management is an enterprise favorite that’s adapted with the evolution of the SIEM market.

Software 115

Software Small Business Marketing Firewall 115

Security Boulevard

JUNE 5, 2024

Thales excels in these rapidly advancing technologies that require privacy and data security and are eager to continue working with Google Cloud on them. With AI implementations, cybersecurity attacks can occur at different states of the AI pipeline including data collection, model creation and training, and at inference.

Encryption 72

Encryption Artificial Intelligence Technology Data collection 72

eSecurity Planet

MARCH 17, 2023

These platforms make it possible for security teams to analyze consolidated threat feeds from various external alerts and log events. With faster response times, a more centralized platform, and artificial intelligence-powered workflows, many companies select XDR tools to optimize or go beyond what their SIEM and UEBA tools can do.

Network Security 121

Network Security Penetration Testing Firewall Software 121

McAfee

MAY 17, 2021

And to go back in time effectively, logged events of these activities can be more easily accessed if the events are stored centrally and for an appropriate longevity. Next, because the data sources are so disparate, SIEMs can be used to correlate activities among usually unrelated feeds. Go Where The Data Is – At the Source.

Architecture 78

Architecture Technology Artificial Intelligence Surveillance 78

Thales Cloud Protection & Licensing

JUNE 5, 2024

Thales excels in these rapidly advancing technologies that require privacy and data security and are eager to continue working with Google Cloud on them. With AI implementations, cybersecurity attacks can occur at different states of the AI pipeline including data collection, model creation and training, and at inference.

Encryption 62

Encryption Artificial Intelligence Technology Data collection 62

eSecurity Planet

SEPTEMBER 24, 2024

EDR uses artificial intelligence, machine learning, and threat intelligence to dodge recurrences, allowing IT teams to neutralize attacks through threat hunting, behavioral analytics, and containment. This capacity helps companies evaluate previous data to predict and avoid future attacks.

Antivirus 110

Antivirus Threat Detection Small Business Technology 110

SecureWorld News

APRIL 30, 2023

DCAP collects a stream of metadata about users and groups, statistical information, activity data enriched with information from directory services. Many vendors use the power of artificial intelligence to identify and sort data. DLPs are often focused on checking data that crosses the perimeter.

Technology 98

Technology Unstructured Data Data breaches Information Security 98

Centraleyes

DECEMBER 2, 2024

Privacy Policy Transparency : Organizations must publish clear and comprehensive privacy policies detailing their data collection, processing, and sharing practices. Data Security Measures : Implement reasonable administrative, technical, and physical safeguards to protect personal data from unauthorized access or breaches.

Data collection 52

Data collection Artificial Intelligence Data breaches Risk 52

Centraleyes

DECEMBER 2, 2024

To comply with the MNDPA, businesses must adhere to a set of privacy and security requirements, including: Consumer Rights : Granting residents the ability to access, correct, delete, and opt-out of the sale of their personal data. Data Security : Implementing reasonable technical and administrative measures to safeguard personal information.

Data privacy 52

Data privacy Data breaches Artificial Intelligence Data collection 52

BH Consulting

NOVEMBER 28, 2022

Between now and early 2024, the European Union is introducing a range of new data directives around data and online services. These regulations aim to protect consumers and citizens, enable safe data sharing, and even prepare for more widespread adoption of artificial intelligence.

Artificial Intelligence 52

Artificial Intelligence Marketing Advertising Wireless 52

Spinone

JUNE 8, 2018

From identity theft to credit card numbers being taken away, Machine Learning and Artificial Intelligence play an instrumental role in establishing new standards for cyber security. While the potential of Big Data is vast, it might lag behind as a standalone tool to deal with hackers due to the enormous volume of data to analyze.

Big data 40

Big data Artificial Intelligence Cyber Attacks Identity Theft 40

Privacy and Cybersecurity Law

MARCH 23, 2018

Organizations must be better prepared for cybersecurity incidents, which can result from unintentional events or deliberate attacks by insiders or third parties, such as cyber criminals, competitors, nation-states, and “hacktivists.” 23% of respondents say they do not currently have a CISO or security leader.

Cybersecurity 40

Cybersecurity Data breaches Artificial Intelligence IoT 40

Security Boulevard

JANUARY 18, 2024

API production and usage will continue to increase rapidly, especially as many organizations in 2024 adopt more AI (artificial intelligence) driven processes and solutions in their business. AI needs data, and APIs are the vehicle for that data - and much of that data will be business critical or sensitive data.

Risk 59

Risk Government Threat Detection Artificial Intelligence 59

Centraleyes

OCTOBER 17, 2024

Incident Response: In the event of a breach, TIPs offer enriched context about the attack, including motives and methods. 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.

Threat Detection 52

Threat Detection Cyber threats Artificial Intelligence Risk 52

eSecurity Planet

MAY 5, 2021

This next-gen solution uses patented artificial intelligence (AI) to analyze log data in real-time to identify and respond to threats as they arise. The Atlas platform collects and analyzes data from clients’ systems and the vendor’s global threat sources help orchestrate threat response capabilities.

Threat Detection 58

Threat Detection Technology Artificial Intelligence Cybersecurity 58

ForAllSecure

NOVEMBER 18, 2021

So of course when I saw that some researchers were presenting a talk at SecTor 2021 in Toronto on defeating biometrics with artificial intelligence, well I knew I had to talk to them as well. The idea was to see whether a computer could possess a level of artificial intelligence that can mimic human responses under specific conditions.

Hacking 52

Hacking Authentication Artificial Intelligence Technology 52

SecureList

NOVEMBER 27, 2024

Overview of 2024 consumer cyberthreats and trends predictions Part of the Kaspersky Security Bulletin, our predictions for 2024 identified key consumer cyberthreats and trends shaped by global events, technological advances and evolving user behavior. Last year, we suggested that charity-related scams would increase globally.

Artificial Intelligence 88

Artificial Intelligence Scams Phishing Media 88