McAfee

AUGUST 11, 2020

Cyber threats are no exception to this rule. We think about this paradox regularly as artificial intelligence (AI) and Machine Learning gain prevalence in our field. Will these technologies drive better outcomes, and improve efficiencies in our cyber defense workforce, or will they introduce more risk to our environment?

Artificial Intelligence 74

Artificial Intelligence Technology Threat Detection Cyber threats 74

CyberSecurity Insiders

JANUARY 13, 2022

Based on IronNet’s proprietary machine learning and artificial intelligence, the cloud-based cybersecurity solution will provide Collective Defense capabilities to NYPA and its key supply chain partners to strengthen the state’s ability to protect the grid through a unified cyber defense strategy. critical infrastructure.

Energy and Utilities 52

Energy and Utilities Artificial Intelligence Marketing Cyber Attacks 52

SecureWorld News

NOVEMBER 8, 2023

While organizations can invest in sophisticated cybersecurity and threat detection solutions to detect anomalous network and system activity, a socially-engineered conversation between a malicious actor and an untrained employee can easily slip under the radar.

Social Engineering 90

Social Engineering Engineering Cyber Attacks Artificial Intelligence 90

The Last Watchdog

MAY 16, 2022

This artificial intelligence-driven, chip-scale innovation offers multiple and hierarchical trust relationships for complex ownership structures and transitions. TCU’s capabilities encompass a depth and breadth of systems analysis and cutting-edge security management that locates and contains attacks. Threat detection.

Cyber Attacks 273

Cyber Attacks Firmware Artificial Intelligence Manufacturing 273

Identity IQ

JUNE 1, 2023

However, the emergence of artificial intelligence (AI) has taken these scams to a whole new level. Spoofing techniques are commonly used in phishing and other cyber attacks to trick victims into believing that the communication is legitimate. This was a 3% increase compared to the previous year.

Social Engineering 52

Social Engineering Scams Engineering Identity Theft 52

The Last Watchdog

OCTOBER 16, 2023

What use is automatic threat detection without an immediate response? While most supply chains rely on third-party vendors, they increase the chance of cyber attacks. Even if they’re careful and use quality security measures, they broaden the attack surface. Comprehensive Integration. Scalability.

Cybersecurity 147

Cybersecurity Cyber Attacks Artificial Intelligence Data breaches 147

SecureWorld News

MAY 11, 2023

Cybersecurity professionals can rarely have a conversation among peers these days without artificial intelligence—ChatGPT, Bard, Bing, etc.—coming AI can help improve the accuracy of threat detection. Concerns: AI can be vulnerable to attacks. Opportunities: Improved threat detection. Is it good?

Cybersecurity 108

Cybersecurity Artificial Intelligence Threat Detection Risk 108

eSecurity Planet

JANUARY 28, 2021

As attack methodologies evolve due to AI, machine learning and nation-state hackers , security startups are receiving a lot of funding to develop products that can secure application access for remote workers , provide real-time visibility into cyber attacks and protect data as it travels from the cloud to IoT devices.

Cybersecurity 87

Cybersecurity Artificial Intelligence Threat Detection Marketing 87

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 115

Network Security Penetration Testing Firewall Antivirus 115

eSecurity Planet

DECEMBER 19, 2023

We each need to consider how these trends may affect our organizations and allocate our budgets and resources accordingly: AI will turbo-charge cybersecurity and cyberthreats: Artificial intelligence (AI) will boost both attackers and defenders while causing governance issues and learning pains.

Cybersecurity 139

Cybersecurity CISO Government Technology 139

CyberSecurity Insiders

DECEMBER 15, 2021

The partnership will provide enterprises with enhanced SOC team productivity, streamlined investigation workflows, and reduced threat exposure. LinkShadow Cybersecurity Analytics listens for threat signals and identifies suspicious behavior through its AI-powered User and Entity Behavior Analytics (UEBA).

Cybersecurity 52

Cybersecurity Artificial Intelligence Threat Detection Cyber threats 52

eSecurity Planet

NOVEMBER 18, 2021

The cloud-native solution identifies and intercepts any content-borne cyber-attack entering the organization through any cloud channel and is run on all files, URLs, and free text. Proofpoint stops attacks such as credential phishing, BEC, email account compromise (EAC), and multi-stage malware. Average scan time of 10 seconds.

Phishing 120

Phishing Malware Engineering Ransomware 120

eSecurity Planet

DECEMBER 15, 2021

Leveraging artificial intelligence and machine learning (AI and ML) to detect, classify, and stop attacks and enforce acceptable use policies. Rapidly detects known and unknown attacks with accuracy and few false positives. Decryption of HTTPS traffic. DLP scanning of web traffic. Anti-malware scanning.

Digital transformation 79

Digital transformation Engineering Internet Internet 79

Spinone

DECEMBER 27, 2018

Demand for smarter mobile apps continues to rise, and developers embrace artificial intelligence, augmented reality and more robust security models to fill that gap in 2018. Growth of automated and sophisticated cyber attacks. Primarily, visibility, threat detection and data loss and data leak prevention.

Risk 60

Risk Cyber Risk Technology Marketing 60

eSecurity Planet

JANUARY 11, 2022

Abnormal Security applies artificial intelligence to catch suspicious identities, relationships, and context within email communications and can help organizations securely migrate from legacy to cloud infrastructure. Most traditional tools used for investigating cyber attacks cannot assess potential impacts on these environments.

Cybersecurity 142

Cybersecurity Threat Detection Artificial Intelligence Risk 142