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. However, the integration of AI also presents challenges. What Are the Challenges of AI in Cybersecurity?

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Artificial Intelligence Threat Detection Phishing Cyber Attacks 135

Security Affairs

MARCH 11, 2025

The digital revolution has enabled organizations to operate seamlessly across national boundaries, relying on cross-border data transfers to support e-commerce, cloud computing, artificial intelligence, and financial transactions.

Cybersecurity 73

Cybersecurity Encryption Artificial Intelligence Technology 73

SecureWorld News

MAY 2, 2025

This reality is driving demand for IoT security solutions, cloud security posture management, and zero-trust network architectures to secure an ever-widening perimeter. Europe a two-speed market: Europe presents a mixed picture of advanced investment in some countries and dangerous gaps in others. in a unified way.

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Healthcare Marketing Cybersecurity CISO 101

The Last Watchdog

AUGUST 13, 2023

Artificial intelligence has been in commercial use for many decades; Markstedter recounted why this potent iteration of AI is causing so much fuss, just now. Security is going to be baked into the way you deploy your architecture.” Maria Markstedter , founder of Azeria Labs , set the tone in her opening keynote address.

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Digital Shadows

MARCH 5, 2025

Agentic AI refers to an advanced artificial intelligence architecture designed to perform tasks autonomously. Threat Containment and Remediation Actions One of the standout benefits of an agentic AI architecture is its ability to rapidly and autonomously initiate containment and remediation actions. What Is Agentic AI?

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SecureWorld News

SEPTEMBER 27, 2023

Instead of diving into worn-out definitions, let's highlight the typical formats in which each level is presented: Technical — This usually involves network and host indicators of compromise ( IoC ) such as IP addresses, domains, URLs, email addresses, hashes, and so on. These are presented in both machine-readable and human-readable formats.

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Cyber threats Artificial Intelligence Malware Threat Reports 113

Security Affairs

JUNE 11, 2022

The technique was discovered by researchers at MIT’s Computer Science & Artificial Intelligence Laboratory (CSAIL), Joseph Ravichandran , Weon Taek Na , Jay Lang , and Mengjia Yan. ” reads the research paper published by the researchers. ” reads the research paper published by the researchers.

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SC Magazine

APRIL 30, 2021

That includes the architectures, the computing platforms, the algorithms and the people and the process as well. We would build our architectures with that perimeter defense model where we’re going to have a firewall and we’re going to deny everything except for those things that we want to let through. And that’s been overcome.

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CISO Cybersecurity Artificial Intelligence Government 109

The Last Watchdog

SEPTEMBER 27, 2023

27, 2023 – ACM, the Association for Computing Machinery has released “ TechBrief: Generative Artificial Intelligence.” New York, NY, Sept. Potential harms from generative AI identified by the new TechBrief include misinformation, cyberattacks, and even environmental damage.

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SecureWorld News

MAY 29, 2024

Some snippets from the white paper: "Heightened connectivity of the manufacturing digital ecosystem to various enterprise systems, the internet, cloud providers and service providers presents significant challenges in the industrial OT environments. Director, Cyber Security, Acumatica, Inc., Director, Cyber Security, Acumatica, Inc.,

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Manufacturing CISO Cyber threats Risk 109

SecureWorld News

OCTOBER 17, 2024

The ConfusedPilot attack highlights this risk by demonstrating how RAG systems can be manipulated by malicious or misleading content in documents not originally presented to the RAG system, causing AI-generated responses to be compromised. "An

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Social Engineering Risk Architecture Marketing 117

Notice Bored

AUGUST 5, 2022

Zero-trust - whatever that means to the presenter and audience; Cloud - meaning Azure, specifically; DevOps and DevSecOps - whatever those terms mean ; MS threat intelligence including artificial intelligence/machine learning rapid responses to novel malware (a cool idea, provided it works reliably).

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CISO Risk Artificial Intelligence Marketing 63

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. ICS and IoT present unique challenges as weak security controls and lack of asset visibility give attackers the advantage. We are better together.

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Security Boulevard

JUNE 22, 2022

When the first SIEMs were created, artificial intelligence (AI) and machine learning (ML) were very much in their infancy. Automation executes the playbook within minutes and presents the output for the analyst to see. This is the architecture of a neural network, which can be turned into an expert system.

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Technology Threat Detection Artificial Intelligence Architecture 105

Adam Levin

APRIL 8, 2019

Changing the architecture of three separate applications at a fundamental level not only opens the door to human error and system glitches but also presents a golden opportunity for hackers, and that should be what we’re talking about–before anything bad happens. This article originally appeared on Inc.com.

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Security Boulevard

JANUARY 31, 2025

Top encrypted attack predictions for 2025Prediction 1: Artificial intelligence and automation will drive a surge in encrypted threatsThe convergence of AI and encrypted traffic will pose escalating challenges for security teams, especially those relying on outdated security tools.

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NetSpi Executives

NOVEMBER 21, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have vast applications in the cyber space. Artificial Intelligence (AI) versus Machine Learning (ML) Before we dive in, let’s level set on the differences between AI and ML, or perhaps the lack thereof. Want to continue your education in Adversarial Machine Learning?

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CyberSecurity Insiders

JANUARY 20, 2022

MIAMI–( BUSINESS WIRE )–Shareholders entrusted Cloudastructure with $30 million via a RegA+ to expand their cloud-based video surveillance platform empowered with Artificial Intelligence and Machine Learning analytics. The deal is expected to close at the end of January.

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Centraleyes

MAY 16, 2024

The concept of “AI governance for GRC” presents an intriguing paradox. While GRC frameworks have long been established to regulate the whole gamut of organizational operations, the advent of AI presents complexity that necessitates a complete reevaluation of the “G” in GRC (and possibly some new standards?).

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NetSpi Executives

FEBRUARY 21, 2024

Artificial Intelligence (AI) and Machine Learning (ML) present limitless possibilities for enhancing business processes, but they also expand the potential for malicious actors to exploit security risks. How transparent is the model architecture? Will the architecture details be publicly available or proprietary?

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eSecurity Planet

SEPTEMBER 13, 2024

With vast amounts of sensitive data and financial transactions occurring daily, they present an attractive target for hackers. AI-Powered Threat Detection Artificial intelligence (AI) can help detect and respond to threats in real-time by analyzing vast amounts of data for abnormal patterns.

Banking 108

Banking Identity Theft DDOS Cyber threats 108

Thales Cloud Protection & Licensing

MAY 29, 2024

A Technological Revolution As the digital landscape evolves, artificial intelligence (AI) is sparking a technological revolution with far-reaching effects across various industries. Addressing Modern Challenges On 6 June, I will present “ Breaking Free from Legacy CIAM: The Key to Unlocking your Insurance Company's Digital Potential.”

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eSecurity Planet

NOVEMBER 18, 2021

Heuristics and behavioral analysis are often applied to enhance detection capabilities if no file signature is present. Artificial Intelligence (AI) learns from relationships between employees, historical emails, and communication patterns to build a custom threat profile that blocks attacks specific to each organization.

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Security Affairs

JUNE 13, 2023

We explored a potential architecture of an autonomous malware threat based on four main steps: an AI-empowered reconnaissances, reasoning and planning phase, and the AI-assisted execution. A model for Autonomous Threats First of all we are going to describe a general architecture that could be adopted for such an objective.

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Security Boulevard

MAY 29, 2024

A Technological Revolution As the digital landscape evolves, artificial intelligence (AI) is sparking a technological revolution with far-reaching effects across various industries. Addressing Modern Challenges On 6 June, I will present “ Breaking Free from Legacy CIAM: The Key to Unlocking your Insurance Company's Digital Potential.”

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Insurance B2B B2C Artificial Intelligence 59

eSecurity Planet

MARCH 14, 2023

Poor Maintenance The best security tools and architecture will be undermined by poor maintenance practices. Beyond software, physical security and resilient architecture design also play a large role in preventing network disruptions.

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eSecurity Planet

SEPTEMBER 22, 2022

This limitation on the alerts also limits the visibility for the security team and constrains the ability of modern artificial intelligence (AI) and machine learning (ML) tools to learn and recognize potentially malicious behavior. SIEM Compatibility with Security Data Lakes. Security Data Lake Vendors.

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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. Similarly, businesses with small IT teams or complex environments may need security information and event management (SIEM) software integration.

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Security Boulevard

JUNE 23, 2023

This article will cover methods for reducing your external attack surface, techniques to implement in creating a secure digital landscape, tools such as secure network design and a zero-trust architecture that can support a smaller attack surface that thwarts prospective cyber attacks before they ever materialize.

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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.” million net present value (NPV) and had a 159% ROI.” Vendor consolidation is gaining momentum in the IT space. Hypothetically, consolidating vendors could seem appealing.

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Software Authentication Engineering Artificial Intelligence 90

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% The AI Promise: Beyond Hype to Real Impact AI is no longer a futuristic concept; it’s a present-day imperative.

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eSecurity Planet

MAY 2, 2024

The sophistication gap presents security professionals with the dilemma where “on one end, advanced attackers employ custom tools and cloud infrastructure; on the other, some still use basic, often free services.” Infrastructure Protection Defense against DDoS and DNS attacks starts with effective network security architecture.

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Cybersecurity DDOS Penetration Testing Ransomware 121

Security Boulevard

JUNE 5, 2025

Such a mindset can critically hinder proactive investment in genuinely transformative security solutions , leading instead to incremental, and often insufficient, upgrades to existing, flawed architectures. The implications extend beyond the immediate financial and operational fallout of individual breaches.

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NetSpi Executives

DECEMBER 3, 2024

” Tom Parker CTO Downfall of present-day encryption “Over the next several years, attackers will increasingly leverage artificial intelligence (AI) and machine learning (ML) to both introduce new attack techniques and accelerate existing ones.

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ForAllSecure

OCTOBER 9, 2019

pool party in 2019 might have young Benjamin being advised to look into “AI” – artificial intelligence. But how exactly will artificial intelligence help bridge the information security skills gap? That same L.A. Like plastics in the 1960s, AI and machine learning are already big and getting bigger.

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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.” million net present value (NPV) and had a 159% ROI.” Hypothetically, consolidating vendors could seem appealing.

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Software Authentication Engineering Artificial Intelligence 72

CyberSecurity Insiders

DECEMBER 20, 2021

IoT: Nadir Izrael, chief technology officer and co-founder at Armis – “Lack of visibility of unmanaged assets presents a significant gap in security strategy. We are excited to join the CrowdXDR Alliance to provide unmatched visibility and security.

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IoT Technology Artificial Intelligence Architecture 52