CyberSecurity Insiders

MAY 23, 2023

Artificial intelligence is the hottest topic in tech today. Improving the healthcare consumer journey Effective telehealth care is all about connecting patients with the right provider at the right time. Patients who utilize telehealth apps in lieu of providers must understand the ethical implications of AI healthcare.

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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

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. Data Preparation: Data is crucial for training AI models.

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eSecurity Planet

APRIL 29, 2022

Skyhigh Security, formerly McAfee MVISION , is another data-centric CASB platform that uses nearly a billion sensors around the world and advanced analytics to deliver best-in-class threat intelligence. It combines automation and artificial intelligence to ensure reliable cloud security of sensitive data and intellectual property.

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Centraleyes

APRIL 23, 2024

The sudden transition to working, shopping, and socializing online has heightened their concerns, with everything from consulting healthcare practitioners to watching shows all taking place in the digital arena. These risks may include vulnerabilities in artificial intelligence or threats posed by quantum computing.

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Risk Technology Data privacy Artificial Intelligence 52

Centraleyes

JANUARY 1, 2024

The application of Artificial Intelligence in GRC integration and cybersecurity holds immense promise. AI algorithms can quickly scan and analyze regulatory updates, ensuring organizations stay updated with their obligations, which is crucial in highly regulated sectors such as finance and healthcare.

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Artificial Intelligence Risk Government Technology 52

eSecurity Planet

MARCH 14, 2023

Activity Monitoring and Segmentation to Control Bad Intentions Malicious and accidental insider threat activities can be detected using tools such as data loss prevention (DLP), user entity and behavior analytics (UEBA), or artificial intelligence-enhanced behavior analytics built into firewalls and IDS/IPS solutions.

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Network Security Firewall Penetration Testing Encryption 98

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. Expansion of cloud services to new industries, for example, in healthcare, automotive, home and retail.

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Risk Cyber Risk Technology Malware 60

Spinone

JULY 8, 2020

Unique identifiers rule – The Unique Identifiers Rule provides a standard for identification of healthcare providers 4. Information intensive industries like healthcare deal with an overwhelming amount of information. So, Google Cloud Search technology can be extremely helpful for healthcare organizations.

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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. Best Threat Detection Startups. It uses this data to show a complete narrative of an attack in real-time.

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Cybersecurity Threat Detection Artificial Intelligence Risk 142

eSecurity Planet

JANUARY 28, 2021

Its extended detection and response (XDR) solution tracks network traffic and automatically combines the information with machine-comprehended threat detection. Additionally, the company has expanded its partnership network into regional markets such as France and Brazil, as well as verticals such as healthcare.

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Cybersecurity Threat Detection Artificial Intelligence Marketing 113

eSecurity Planet

APRIL 23, 2021

It uses AI-powered threat detection and response to keep up with attackers who incorporate artificial intelligence and machine learning into their methods. SentinelOne combines EDR with endpoint protection platform (EPP ) capabilities to cover all aspects of detection, response and remediation. SentinelOne.

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CyberSecurity Insiders

DECEMBER 7, 2021

For hackers’ soft targets for ransomware extortion are plentiful, especially in the healthcare, financial, and manufacturing industries. Updating of legacy systems and assimilation of emerging technologies such as 5G and artificial intelligence into security platforms will be prioritized.

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Cybersecurity IoT Artificial Intelligence Cyber threats 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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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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IT Security Guru

DECEMBER 16, 2024

If your SIEM fails to handle large data volumes, it delays threat detection. Failure to Handle Emerging Threats Cyberattacks are getting more advanced, using zero-day exploits and persistent threats. Integrating ML technology results in improving your system’s threat detection and response.

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