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.

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Cyber threats Cyber Insurance Threat Detection Cybersecurity 203

Security Boulevard

APRIL 8, 2025

Artificial Intelligence (AI) and Machine Learning (ML): AI/ML can enhance attack sophistication and scale, but they also improve threat detection and response. Continuous learning and adaptation are crucial for staying ahead of emerging threats.

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Cybersecurity Penetration Testing DNS Encryption 52

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.

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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. AI-powered threat detection. Focusing on information alone is no longer adequate.

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Technology Threat Detection Artificial Intelligence Architecture 105

eSecurity Planet

SEPTEMBER 24, 2024

Endpoint detection and response (EDR) is an advanced safety system for detecting, investigating, and resolving cyber attacks on endpoints. Planning the deployment: Create a deployment plan that considers network architecture, security infrastructure, compatibility, and the resources required for successful integration.

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Antivirus Threat Detection Small Business Technology 110

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. With the right implementation, AI can significantly enhance visibility and threat detection across multi-cloud, hybrid, and on-premise environments.

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Phishing Threat Detection Education Cloud Migration 117

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.

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McAfee

APRIL 7, 2020

To another, it’s defined by the latest machine learning (ML) algorithms and artificial intelligence (AI)-guided decision-making features in the newest release of a tool. Most ICS/IoT challenges can be boiled down to three primary categories: Asset Discovery and Tracking, Threat Detection, and Risk Management.

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IoT Government Artificial Intelligence Architecture 57

McAfee

SEPTEMBER 22, 2021

Competitive pressure to keep costs low and cybercriminals at bay for both their internal users and their customers spurred the mobile and fixed telephony company to enhance their existing security architecture with the latest endpoint and cloud-based protections from McAfee Enterprise. Achieving a proactive stance.

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Architecture Artificial Intelligence Software Threat Detection 64

CyberSecurity Insiders

JUNE 21, 2023

Machine learning (which is a subset of artificial intelligence, or “AI”)—and in particular, machine learning-powered predictive analytics—are enhancing threat detection and response in the SOC by providing an automated way to quickly analyze and prioritize alerts.

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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.

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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. Elastic and scalable serverless architecture and auto-scaling. Agent-based, proxy-free architecture. Decryption of HTTPS traffic. DLP scanning of web traffic. Multi-tenancy.

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Engineering Digital transformation Internet Internet 103

eSecurity Planet

SEPTEMBER 13, 2024

Proactive defense mechanisms such as real-time threat monitoring, multi-factor authentication, and AI-driven threat detection can prevent attacks before they lead to costly consequences. Zero Trust Architecture The Zero Trust model assumes that all users, devices, and networks are inherently untrustworthy.

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Banking Identity Theft DDOS Cyber threats 109

Andrew Hay

DECEMBER 10, 2024

AI-Powered Threats and Defenses The ubiquity of artificial intelligence in cybersecurity is inevitable. Conversely, defenders will increasingly rely on AI-driven solutions for threat detection, anomaly detection, and automated response systems.

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Cybersecurity IoT Artificial Intelligence Social Engineering 52

Appknox

OCTOBER 24, 2024

Application security has transformed from being an afterthought to a central focus as threats have evolved. The rise of cloud-native architectures, microservices, and APIs has broadened the attack surface, requiring security teams to rethink their approaches.

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Architecture Artificial Intelligence Threat Detection 52

eSecurity Planet

NOVEMBER 18, 2021

Anti-evasion engines to uncover any attempt to hide or conceal malicious intent, including algorithms and architecture that allow scanning of all content in various forms and methods to ensure that the malicious intent is discovered. Its multi-layered threat detection continuously learns from threats analyzed. Proofpoint.

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Phishing Malware Engineering Ransomware 126

eSecurity Planet

MAY 19, 2022

SD-WAN is a virtual architecture for managing a wide-area network covering distributed, hybrid IT environments typical for today’s enterprise organizations. With SD-WAN architectures, branch employees and remote users connect to an enterprise network through a web of connected devices over the internet. What is SD-WAN?

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Firewall Architecture Software Backups 58

Security Boulevard

JULY 29, 2024

As more organizations transform their businesses by moving their operations and applications to the cloud, there is a greater need for third-party integration to cloud infrastructures, security architectures, and applications. About Rohan Bafna Rohan is a WeWORK Incident Response and Threat Detection director based in New York City.

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Risk Engineering Small Business Architecture 69

eSecurity Planet

NOVEMBER 30, 2021

Other features like artificial intelligence (AI)-based automation and user behavior analytics are ideal, too, for ease of management and detecting anomalous behavior. Automated threat detection takes this ease-of-use further. Best Privileged Access Management (PAM) Software.

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eSecurity Planet

MARCH 14, 2023

Not all insider threats need to be malicious; some might simply be sloppy or simple mistakes such as when IT operations accidentally overwrites a firewall website whitelist and suddenly blocks all internet traffic. Poor Maintenance The best security tools and architecture will be undermined by poor maintenance practices.

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Network Security Firewall Penetration Testing Encryption 98

CyberSecurity Insiders

JULY 22, 2021

Falcon’s proven track record in third-party testing such as this directly speaks to Falcon’s ability to autonomously protect Mac endpoints via a single intelligent agent that uses powerful machine learning and behavior-based malware threat detection.

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Artificial Intelligence Malware Technology Architecture 52

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. Focus on collaboration.

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Threat Detection Technology Artificial Intelligence Engineering 58

Duo's Security Blog

MARCH 21, 2024

CIO magazine reported that 95% of IT executives polled plan to consolidate software solutions due to “architecture consolidation” and “cost.” Today's threat landscape requires the strongest levels of security on identities, applications and devices accessing sensitive, corporate applications. Stay tuned!

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Software Authentication Engineering Artificial Intelligence 90

Centraleyes

OCTOBER 21, 2024

Agentless Architecture: Simplifies deployment and reduces performance overhead. Deep visibility and context for security threats. Threat Protection: Provides advanced threat detection and response capabilities. Its cloud-native architecture provides secure internet access for users regardless of their location.

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Threat Detection Risk Architecture Artificial Intelligence 52

Jane Frankland

JUNE 25, 2024

And at the heart of this much to do transformation lies the disruptive potential of Artificial Intelligence (AI) – an evolving technology that’s set to be embedded everywhere, grow at a CAGR of 36.6% and be worth around $2 trillion by 2030.

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eSecurity Planet

SEPTEMBER 26, 2023

The SASE solution also provides additional security to users through remote browser isolation that keeps the endpoint segregated from the corporate information.

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Firewall Software Internet Internet 98

Duo's Security Blog

APRIL 9, 2024

CIO magazine reported that 95% of IT executives polled plan to consolidate software solutions due to “architecture consolidation” and “cost.” Today's threat landscape requires the strongest levels of security on identities, applications and devices accessing sensitive, corporate applications. Stay tuned!

Software 72

Software Authentication Engineering Artificial Intelligence 72

CyberSecurity Insiders

DECEMBER 20, 2021

The power of the CrowdXDR Alliance is in the commitment to open and unified data sharing amongst our partners across technologies that will further enrich EDR data and solve the gaps in existing legacy and next-gen tools across investigation, threat hunting and response capabilities.

Technology 52

Technology IoT Artificial Intelligence Architecture 52

Centraleyes

OCTOBER 7, 2024

Splunk Cyber Risk Mitigation Strategy: Continuously Hunt for Network Intrusions Proactive threat detection is essential for identifying and responding to potential breaches. By enforcing strict access controls and continuous verification, Zero Trust strengthens your defenses against both internal and external threats.

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Cyber Risk Risk Backups IoT 52

Responsible Cyber

JULY 13, 2024

AI-Driven Threat Detection Systems: Artificial Intelligence (AI) plays a pivotal role in identifying and mitigating cyber threats. AI-driven systems can analyze vast amounts of data to detect unusual activities or patterns that may indicate potential cyber attacks.

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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. Primarily, visibility, threat detection and data loss and data leak prevention. Maturing cloud service markets.

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Risk Cyber Risk Technology Malware 60

Spinone

JULY 8, 2020

SpinOne is built around artificial intelligence (AI) and machine learning (ML) architecture that allows the solution to be intelligent and provide a high level of automation. Your organization is no doubt moving too fast to be held back by legacy approaches to security and other operational processes.

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Encryption Backups Ransomware Accountability 52

eSecurity Planet

JANUARY 15, 2021

It offers intelligent bot analytics, improved endpoint application monitoring, flow data analysis, self-learning DoS profiles and an analytics function for identifying potentially malicious hosts. Users praise McAfee NSP for its flexibility, comprehensive architecture and simple operability. Trend Micro TippingPoint. NSFocus NGIPS.

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Firewall Threat Detection Software Architecture 96

McAfee

AUGUST 6, 2021

Fortunately, McAfee Enterprise’s endpoint protection platform offers a threat detection capability that allows incorporating a next-generation solution (EDR) to track down potential threats if they break through the first layer of countermeasures.

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Cybersecurity Artificial Intelligence Technology Engineering 78

SecureWorld News

DECEMBER 27, 2024

Mo Wehbi, VP, Information Security & PMO, Penske Automotive Group: The Good and the Bad "The Good: Widespread Adoption of AI and Machine Learning for Threat Detection: AI will become more sophisticated and integral in identifying threats in real-time, reducing response times and mitigating risks faster than ever before.

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Cybersecurity Education Risk Government 123

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. Bottom line: Prepare now based on risk.

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Cybersecurity CISO Government Technology 140

SecureWorld News

JANUARY 16, 2025

Emphasis on artificial intelligence in cyber defense What's changing: The order prioritizes AI's role in enhancing cybersecurity, focusing on threat detection, vulnerability management, and automated response capabilities. Investing in AI-powered platforms can significantly bolster cyber defenses.

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