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.

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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.

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Cyber Attacks Firmware Artificial Intelligence Manufacturing 273

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.

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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.

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Artificial Intelligence Government Threat Detection Cybersecurity 95

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?

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Threat Detection Risk Architecture Artificial Intelligence 119

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.

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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.

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Artificial Intelligence Phishing Education Risk 118

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).

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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.

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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

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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).

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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

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Threat Detection Artificial Intelligence Cybersecurity Technology 123

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).

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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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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.

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Antivirus Threat Detection Small Business Technology 109

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.

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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.

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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.

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Risk Financial Services Technology Artificial Intelligence 65

Identity IQ

AUGUST 5, 2024

AI-Powered Identity Protection: How Machine Learning Safeguards Your Data IdentityIQ Artificial intelligence (AI) and machine learning are technologies that play a significant role in data protection. Machine learning can protect data from exposure to data breaches and other threats. What is AI-Powered Identity Protection?

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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.

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CyberSecurity Insiders

DECEMBER 21, 2021

.–( BUSINESS WIRE )–GoSecure, a leading provider of Managed Detection and Response (MDR) services, today announced the acquisition of Covail, a leader in intelligent security and risk optimization and automation. ” Capstone Partners acted as exclusive financial advisor to Covail on the transaction.

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Centraleyes

OCTOBER 21, 2024

By the end, you’ll understand which cloud security assessment tool might match your organization’s unique risk and compliance needs. Threat Protection: Provides advanced threat detection and response capabilities. Risk Reduction: Effectively reduces potential attack vectors by enforcing least-privilege principles.

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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.)

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Phishing Threat Detection Education Cloud Migration 93

Centraleyes

OCTOBER 17, 2024

Platforms like CrowdStrike Falcon offer detailed threat reports and insights that align with the most significant risks facing an organization. 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.

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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.

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CyberSecurity Insiders

MAY 23, 2023

Artificial intelligence is the hottest topic in tech today. However, AI-integrated telehealth may pose a cybersecurity risk. However, machine learning programs and automated platforms do put patient data at increased risk of exposure. These simple steps decrease the risk of malicious actors gaining access to patient data.

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Anton on Security

FEBRUARY 5, 2024

SIEMs are used for collecting and analyzing security data from across your organization to help you identify and respond to threats quickly and effectively. But if you’re still using an outdated SIEM, you’re putting your organization at risk [A.C. — are are we a bit harsh here? Frankly no! are you saving money on log collection?

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CyberSecurity Insiders

DECEMBER 21, 2021

The firm’s work attracted top technology talent to the region, Wald said, and led to the development of software products that enabled advanced cyber threat detection and continuous risk management. GoSecure is a recognized cybersecurity leader and innovator. Accelerated. Learn more at covail.com. About GoSecure.

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Cybersecurity Threat Detection Artificial Intelligence Cyber threats 52

NetSpi Executives

SEPTEMBER 28, 2023

2023 is sure to be remembered as the year of artificial intelligence (AI). Artificial Intelligence stands to be a viable force multiplier for organizations that embrace it, unlocking the power of dormant data and drastically speeding time to insight. Systems, Inc. Tim Ellis, Right! Systems, Inc.

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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. Smart automation is instrumental in reducing risk. AI-powered threat detection.

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Technology Threat Detection Artificial Intelligence Architecture 105

Centraleyes

AUGUST 25, 2024

The NIST Cybersecurity Framework (CSF) has long served as a cybersecurity cornerstone, offering a structured approach to managing and improving cybersecurity risk. Over the years, NIST CSF has undergone several updates to incorporate feedback from industry stakeholders and adapt to the rapidly changing cyber threat landscape.

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Centraleyes

JANUARY 1, 2024

” They contend that large-scale AI projects can “pose profound risks to society and humanity” without oversight and thoughtful management. Harnessing the Promise of GRC AI The conversation surrounding AI and risk management has not skipped over the world of GRC. Here’s how AI plays a pivotal role: 1.

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Artificial Intelligence Risk Government Technology 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?

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CyberSecurity Insiders

MAY 1, 2023

Meanwhile, Salt Security, a competitor in the space, highlighted its API Protection Platform’s new advanced threat detection capabilities and enhanced API discovery features. Data Theorem’s platform is designed to identify and remediate potential security risks. Version 3.0

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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.

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SecureWorld News

JUNE 7, 2024

The balance between these two is important for nations to consider, as there are risks and benefits to both approaches. International agreements and norms can provide a framework for responsible behavior in cyberspace, reducing the risk of unintended escalation and promoting stability.

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Technology Education Artificial Intelligence Identity Theft 107

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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