The Last Watchdog

MAY 16, 2022

The susceptibility laden throughout the device’s product journey leads to an increased risk. This artificial intelligence-driven, chip-scale innovation offers multiple and hierarchical trust relationships for complex ownership structures and transitions. Threat detection. Traceability and accountability.

Cyber Attacks 273

Cyber Attacks Firmware Artificial Intelligence Manufacturing 273

eSecurity Planet

JUNE 18, 2021

There’s a never ending cycle between the measures cybersecurity providers introduce to prevent or remediate cyber threats and the tactics cyber criminals use to get around these security measures. As soon as a security company develops a way to mitigate the latest threat, attackers develop a new threat to take its place.

Artificial Intelligence 145

Artificial Intelligence Cybersecurity Engineering Risk 145

Webroot

JANUARY 13, 2025

They are part of well-funded by rogue nations, highly organized operations using advanced techniques, automation, and artificial intelligence to breach systems faster than ever. They need real-time monitoring, proactive threat hunting, and rapid incident responseall delivered 24/7. Reputational damage thats hard to repair.

Cybersecurity 99

Cybersecurity Cyber threats Artificial Intelligence Cybercrime 99

SecureWorld News

MAY 11, 2023

Cybersecurity professionals can rarely have a conversation among peers these days without artificial intelligence—ChatGPT, Bard, Bing, etc.—coming What are the possibilities, concerns, risks, and opportunities? AI can help improve the accuracy of threat detection. Risks: Over-reliance on AI. Is it good?

Cybersecurity 131

Cybersecurity Artificial Intelligence Threat Detection Risk 131

Hacker's King

DECEMBER 16, 2024

The use of artificial intelligence and machine learning has enabled hackers to automate their attacks, making them more efficient and harder to detect. Cybercriminals are also increasingly using social media to gather intelligence, exploit personal information, and initiate attacks.

Cyber Attacks 59

Cyber Attacks Phishing Artificial Intelligence Penetration Testing 59

Digital Shadows

MARCH 5, 2025

Agentic AI refers to an advanced artificial intelligence architecture designed to perform tasks autonomously. By automating routine tasks and providing real-time threat detection and response, agentic AI helps security teams focus on more strategic activities. What Is Agentic AI? What Is Generative AI?

Artificial Intelligence 52

Artificial Intelligence Threat Detection Risk Architecture 52

eSecurity Planet

SEPTEMBER 16, 2024

As cyber threats become increasingly sophisticated, integrating artificial intelligence (AI) into cybersecurity is more than a passing trend — it’s a groundbreaking shift in protecting our digital assets. As cyber-attacks grow increasingly complex, leveraging AI becomes crucial for staying ahead of emerging threats.

Artificial Intelligence 135

Artificial Intelligence Threat Detection Phishing Cyber Attacks 135

SecureWorld News

AUGUST 5, 2024

Cybersecurity and Infrastructure Security Agency (CISA) has taken a pioneering step in the realm of artificial intelligence and cybersecurity by appointing its first Chief Artificial Intelligence Officer, Lisa Einstein. The appointment of a Chief AI Officer at CISA comes at a crucial time.

Artificial Intelligence 112

Artificial Intelligence Technology Retail Manufacturing 112

Hacker's King

DECEMBER 21, 2024

The proliferation of cyber threats demands innovative solutions, and generative AI is emerging as a transformative force in this arena. Far beyond its applications in content creation or virtual assistants, generative AI is revolutionizing cybersecurity by enhancing threat detection, automating responses, and fortifying defenses.

Cybersecurity 52

Cybersecurity Threat Detection Cyber threats Artificial Intelligence 52

CyberSecurity Insiders

MARCH 20, 2021

How does GreatHorn address these security risks? GreatHorn accurately identifies risk areas, threat patterns, and zero-day phishing attacks using a fact-based detection model that combines artificial intelligence and machine learning. of all their email as high-risk attacks that should be quarantined.

Artificial Intelligence 118

Artificial Intelligence Phishing Education Risk 118

SecureWorld News

MARCH 13, 2025

While the AI-generated malware in this case required manual intervention to function, the fact that these systems can produce even semi-functional malicious code is a clear signal that security teams need to adapt their strategies to account for this emerging threat vector."

Malware 66

Malware Cybersecurity Cyber threats Threat Detection 66

Duo's Security Blog

JULY 25, 2024

Given the complexity of policy, even the most advanced teams struggle to deploy, maintain and assess a strong access management policy posture standard that helps mitigate threats while also supporting a productive business. What is ITDR, or Identity Threat Detection & Response?

Threat Detection 137

Threat Detection Risk Architecture Artificial Intelligence 137

SecureWorld News

OCTOBER 3, 2023

Amidst a rapidly evolving technological landscape, the fusion of artificial intelligence (AI) and cybersecurity emerges as both a beacon of innovation and an unprecedented challenge. is poised to lead the way in leveraging artificial intelligence to bolster its national security apparatus.

Artificial Intelligence 109

Artificial Intelligence Government Threat Detection Cybersecurity 109

The Last Watchdog

OCTOBER 5, 2023

Byron: On the software side of things, some exciting breakthroughs are about to gain meaningful traction in leveraging machine learning and automation to shape new security platforms and frameworks that are much better suited to helping companies implement cyber hygiene, as well as execute effective, ongoing threat detection and incident response.

Cyber threats 203

Cyber threats Cyber Insurance Threat Detection Cybersecurity 203

CyberSecurity Insiders

JANUARY 5, 2022

Right now, modern tech is pushing the envelope of what is possible in the doctor’s office and the patient’s home, as telehealth and artificial intelligence transform the landscape of medical care. Telehealth means patients don’t have to risk exposure to COVID-19 as often. But technology isn’t always safe.

Healthcare 136

Healthcare Artificial Intelligence Computers and Electronics Technology 136

The Last Watchdog

OCTOBER 16, 2023

What use is automatic threat detection without an immediate response? Automatic third-party risk management identifies potential relationship vulnerabilities , improving cybersecurity. For example, quality artificial intelligence only needs milliseconds to process millions of data points. Comprehensive Integration.

Cybersecurity 147

Cybersecurity Cyber Attacks Artificial Intelligence Technology 147

Jane Frankland

MAY 8, 2024

Could artificial intelligence (AI) be the key to outsmarting cyber threats in an increasingly connected world? This not only frees up valuable time for security professionals to focus on more complex tasks but also reduces the risk of human error. Is it our only hope for survival?These

Cyber threats 130

Cyber threats Cybersecurity Artificial Intelligence CISO 130

Jane Frankland

JANUARY 9, 2024

MDR providers offer an all-in-one solution for organisations that combines people, processes, and technologies to strengthen security measures and reduce risk exposure. They include monitoring for potential threats and incidents, responding to confirmed breaches, and providing support for incident investigation processes.

Threat Detection 147

Threat Detection Technology Marketing Artificial Intelligence 147

SecureList

OCTOBER 2, 2024

ML, a subset of artificial intelligence (AI), with its ability to process and analyze large datasets, offers a powerful solution to enhance threat detection capabilities. More information about APT threat actors we track can be found here. This is where machine learning (ML) comes into play. com dict.sspcoaches[.]com

Threat Detection 130

Threat Detection Artificial Intelligence Cybersecurity Technology 130

Approachable Cyber Threats

FEBRUARY 23, 2024

Category Awareness, Artificial Intelligence Risk Level Artificial Intelligence (AI) is set to be the newest ally for many companies, but it’s also set to be the newest threat. The realm of cybersecurity is undergoing a transformation, guided by the omnipresent force of Artificial Intelligence (AI).

Cybersecurity 86

Cybersecurity Artificial Intelligence Malware Phishing 86

Security Boulevard

JULY 29, 2024

Risk and Reward of APIs and Third-Party Connectors in the Cloud 7 min read · Just now -- A Security Operations (#SecOps) and Engineering Commentary from industry insider Rohan Bafna , SecOps Engineer. That is the risk. APIs are at risk of attack from injected malicious code, leading to data exposure, system compromise, or takeovers.

Risk 69

Risk Engineering Small Business Architecture 69

SecureWorld News

OCTOBER 2, 2024

Th e 8th biennial Deloitte-NASCIO Cybersecurity Study reveals a rapidly evolving cybersecurity landscape, with artificial intelligence (AI) and generative AI (GenAI) introducing new challenges. states and the District of Columbia, marking a period where the impact of COVID-19 has subsided yet new threats have surfaced.

Cyber threats 116

Cyber threats CISO Digital transformation Artificial Intelligence 116

The Last Watchdog

OCTOBER 24, 2023

Security and risk management leaders must rethink their balance of investments across technology, structural, and human-centric elements as they design and implement their cybersecurity programs.” 2 Each day brings new threats and challenges, further compounded by artificial intelligence (AI).

Cybersecurity 100

Cybersecurity Technology Artificial Intelligence Threat Detection 100

eSecurity Planet

SEPTEMBER 24, 2024

Endpoint detection and response (EDR) is an advanced safety system for detecting, investigating, and resolving cyber attacks on endpoints. 10 Key Capabilities of EDR EDR systems improve cyber security through features such as threat hunting, ransomware rollback, and continuous data analysis.

Antivirus 110

Antivirus Threat Detection Small Business Technology 110

Security Boulevard

JUNE 22, 2022

Organizations need technology that incorporates effective, self-directed threat detection and response. When the first SIEMs were created, artificial intelligence (AI) and machine learning (ML) were very much in their infancy. Smart automation is instrumental in reducing risk. AI-powered threat detection.

Technology 105

Technology Threat Detection Artificial Intelligence Architecture 105

Centraleyes

APRIL 23, 2024

The digital landscape is advancing, and the risks of shirking cutting-edge technology are substantial. It’s well known that while new technologies open up novel pathways, they also come with risks. According to a recent Deloitte report , more than half (52%) of consumers feel more at risk in the digital environment.

Risk 52

Risk Technology Data privacy Artificial Intelligence 52

SC Magazine

MARCH 11, 2021

The lasting impact of 2020 on cybersecurity has come more clearly into relief, as security professionals reported more mature, effective strategies and approaches spanning threat prevention, detection and response – with many businesses reallocating resources to address risks tied to the workforce.

Risk 65

Risk Financial Services Technology Artificial Intelligence 65

eSecurity Planet

AUGUST 26, 2022

Whereas older solutions like antivirus, firewalls, and endpoint detection and response (EDR) have long focused on threats at the network perimeter, the intent of NDR is to monitor and act on malicious threats within organization networks using artificial intelligence (AI) and machine learning (ML) analysis.

Artificial Intelligence 115

Artificial Intelligence Network Security Firewall Malware 115

Centraleyes

OCTOBER 7, 2024

Cyber risk mitigation is an ongoing process that aims to reduce the impact of cyber threats on your organization. A well-crafted cyber risk mitigation plan includes: Risk Identification: Discovering vulnerabilities and potential threats to your systems.

Cyber Risk 52

Cyber Risk Risk Backups IoT 52

Spinone

DECEMBER 23, 2018

While human beings still provide the key operational oversight and intelligent insights into today’s infrastructure, machine learning and artificial intelligence are gaining huge momentum in most areas of today’s systems, whether positioned on-premise or in the cloud. What are they exactly?

Artificial Intelligence 66

Artificial Intelligence Cybersecurity Firewall Technology 66

eSecurity Planet

NOVEMBER 18, 2021

Enterprise endpoint security typically includes additional features like patch management , central management of devices, and the ability to shut down threats detected on a central console. Bitdefender GravityZone Elite is a next-generation endpoint protection platform (EPP) that is enhanced with human risk analytics.

Software 121

Software Antivirus VPN Password Management 121

SecureWorld News

OCTOBER 8, 2024

Moreover, encouraging cross-functional collaboration between AI specialists, security professionals, and software engineers can help teams stay ahead of evolving threats. Cross-functional teams that work together with expertise across different domains (DevSecOps, Data engineering, Data Science, ML engineering, Security, Cloud, Risk, etc.)

Phishing 116

Phishing Threat Detection Education Cloud Migration 116

Security Boulevard

JANUARY 18, 2024

How do we gauge how risky it is and how do we ensure that future APIs are not putting the enterprise at risk? 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.

Risk 59

Risk Government Threat Detection Artificial Intelligence 59

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. These are just some of the ramifications that can affect businesses.

Social Engineering 112

Social Engineering Engineering Cyber Attacks Artificial Intelligence 112

CyberSecurity Insiders

DECEMBER 15, 2021

Whether your business has 20 or thousands of employees, vulnerability scanning is a fundamental necessity to help drive out risk. It begins with detecting and inventorying what is on your network both known and unknown. Vulnerability scanning should be a first step in proactively helping defend against security breaches.

Mobile 122

Mobile Social Engineering Artificial Intelligence Ransomware 122

eSecurity Planet

JULY 31, 2024

Basic protection focuses on recognized threats. Main Function Detects, contains, investigates, and resolves advanced threats. Prevents, identifies, and remediates risks. Real-Time Protection Yes, actively monitors and responds to threats. Yes, offers real-time monitoring and threat prevention.

Antivirus 118

Antivirus Threat Detection Malware Software 118

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