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Machine Learning-Powered Cybersecurity: A Guardian of the Future

Aashish Yadav | May 18, 2022 | 415 views

Machine Learning-Powered Cybersecurity: A Guardian of the Future
Today, as more and more businesses are undergoing digital transformation, the risk of cybersecurity is also rising. Cyber risk has evolved as one of the significant threats for businesses over time. Businesses are struggling to safeguard themselves from a growing number of cyber threats. Because of cybercrime, businesses lost approximately $1,797,945 per minute in 2021, according to Tessian.

Machine learning (ML) and artificial intelligence (AI) tools offer huge potential to help businesses and other entities deal with a wide range of current cybersecurity challenges. AI and ML enable real-time learning and analysis of potential cyber threats. They also use algorithms to make behavioral models, which they then use to predict cyberattacks whenever new data becomes available. Let’s have a look at the reasons why ML-based cybersecurity has become more crucial than ever.


Why Has Machine Learning Become so Important in Cybersecurity?

There are several reasons why ML-based machine learning has grown to prominence. Cybersecurity systems can use AI and ML to analyze attack patterns and learn from them in order to prevent them and respond to their changing behavior. It can support cybersecurity professionals in becoming more proactive in terms of preventing risks and dealing with current attacks in real-time. In short, good data and machine learning can make cybersecurity easier, more proactive, cheaper, and much more effective.


How can Machine Learning help businesses improve their cybersecurity?

AI and machine learning are providing significant advantages to organizations that implement them in their cybersecurity programs. According to a report from the Capgemini Research Institute, 61% of businesses think AI will be needed to find critical threats, and 69% think AI will be needed to deal with cyberattacks. AI and ML can quickly analyze huge quantities of data, making it far faster than manually detecting threats.

  • AI and ML minimize cyber threat detection and response effort, making them cost-effective. The Capgemini report found a 12% average cost reduction.
  • Cyber analysts are alerted aboutattacks and categorize the kinds, which helps them determine the correct response.
  • As more data is analyzed and the technologies learn from past patterns, AI and machine learning improve cybersecurity over time.
  • AI and ML are used by many businesses to rank network threats and figure out which parts have been attacked the most.
  • Businesses use AI to identify malicious activity automatically.
  • AI and machine learning are also being used to detect suspicious user behavior.
  • Many businesses prevent financial fraud by predicting unusual consumer behavior utilizing machine learning.
  • AI and machine learning can also help businesses predict potential cyberattacks.


Companies Bolster their Cyber Security Systems through ML



Concluding Lines

If used correctly, machine learning can improve cybersecurity. Machine learning's dramatic and lasting influence is real. Integrating AI and ML to improve cybersecurity is crucial, but organizations should remember that these technologies are only as effective as the analysts who control and use them.

Spotlight

AVG Technologies

AVG delivers products and services to help make your digital world simpler to navigate, easier to secure, and more enjoyable to live in. Using the latest technologies in protection, privacy, and performance, our focus is on providing you with a secure, safe and frustration-free digital life. The AVG portfolio offers solutions for desktops and mobile devices on popular platforms such as Windows, iOS, Android and Mac—providing a wide range of solutions for individuals, families, and small businesses alike.

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Top 5 Application Security Trends Businesses Must Be Aware of in 2023

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Introduction Top 5 Trends for Businesses to Improve Their Existing Application Security 1.AppSec and Convergence 2.Adoption of Automated AI Security Capabilities 3.Emphasis on Securing the Software Supply Chain 4.Extreme 'Shift Left' 5.Upsurge in Demand for Vulnerability Prioritization Moving Forward with Application Security Introduction The proliferation of applications and their usage across the business landscape has made application security a strategic initiative that spans departments rather than an activity. Several factors are driving the rethinking of application security as a broader strategic program, including the evolving threat landscape, more incremental software development frameworks, and the adoption of nimbler. 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The convergence of AppSec and CloudSec is becoming a critical component of modern security operations. It allows organizations to gain a comprehensive view of the attack surface and better understand the risks posed by application code and cloud service providers. By looking at these two areas cohesively, organizations can identify business-critical vulnerabilities and prioritize their remediation efforts. Trend 2: Adoption of Automated AI Security Capabilities The increasing volume and complexity of security threats pose significant challenges for organizations, causing strain on their threat detection and response capabilities. This leads to slower response times, higher costs, and a greater impact on security incidents. To address this issue, many companies are turning to security automation as a potential solution. One of such approaches involves the use of artificial intelligence (AI), which can automate data gathering, threat identification, and incident response processes. By adopting security automation, companies can optimize the use of limited security personnel and resources, enabling them to focus on high-value activities that provide maximum benefit to the organization. Trend 3: Emphasis on Securing the Software Supply Chain The software supply chain is emerging as a primary area of focus due to the heightened risks associated with software development. This urgency has been further compounded by the recent attack, such as Solarwind data breach and the Log4j attack on Apache, increasing the significance of software security measures. Companies are taking a more proactive approach for making enhancements in the software supply chain to protect their applications, including conducting Static Application Security Testing (SAST) to identify and address vulnerabilities before malicious actors can exploit them. Trend 4: Extreme 'Shift Left' The ‘shift left’ in software development has gained significant momentum in recent years. 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Article | February 12, 2020

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Spotlight

AVG Technologies

AVG delivers products and services to help make your digital world simpler to navigate, easier to secure, and more enjoyable to live in. Using the latest technologies in protection, privacy, and performance, our focus is on providing you with a secure, safe and frustration-free digital life. The AVG portfolio offers solutions for desktops and mobile devices on popular platforms such as Windows, iOS, Android and Mac—providing a wide range of solutions for individuals, families, and small businesses alike.

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Prnewswire | March 30, 2023

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New capabilities enable customers to: Gain complete visibility and detailed insights to protect APIs with customisable discovery, flexible tagging, and datatype assignments – including PII, PCI, PHI, and custom categories – for grouping APIs by application, business unit, and more. Understand APIs in rich context with visualisations of business logic, physical network infrastructure, and API traffic to understand specific interactions and behaviour patterns. Secure containerised applications with enhanced discovery and detection for Kubernetes (k8s). Prioritise resources and eliminate blind spots with extensive infrastructure inventories for AWS and Azure, enabling organisations to find unprotected APIs, map the connections between APIs and infrastructure resources, pinpoint resources that could increase the attack surface, and resolve potential issues with full context. Stop Attacks with Runtime Protection Noname Security Runtime Protection detects and blocks API attacks with real-time traffic analysis, out-of-band monitoring, inline remediation options, and workflow integrations to increase SOC effectiveness. New capabilities enable customers to: Identify business-logic-based attacks immediately with updates to the industry's most advanced anomaly detection engine using artificial intelligence & machine learning (AI/ML), including unsupervised online learning. Reduce Mean-Time-To-Resolution (MTTR) with more context on issue records, including detailed remediation guidance and tools for deeper investigation. Fully align with security operations center (SOC) processes with automation, custom workflows, and integrations with existing systems such as ITSM, SIEM, SOAR, and more. Deliver Secure APIs Faster with Active Testing Noname Security Active Testing is a purpose-built API security testing solution that helps organisations easily add security into the CI/CD pipeline without sacrificing speed. The newest version of Active Testing enables customers to: Shift left with integrations into the entire software development lifecycle (SDLC). Teams get dynamic API visibility across multiple states and environments throughout the CI/CD process. Leave no API untested with a unique ability to find and test every API based on an understanding of the application's business logic. Empower developers with best-in-class usability such as simple setup & automation, in-line test results, and contextual guidance for request failure mitigation. Continuously Adapt to Changing Environments Noname Security offers the most flexible and comprehensive set of deployment and integration options available. New capabilities enable customers to: Rapidly realise value with simplified step-by-step onboarding and in-app guidance. Meet any deployment requirement with both agentless and agent-based options, including eBPF, and both out-of-band and inline protection options. Easily manage complex deployments with automatic updates across cloud-hosted, self-hosted, hybrid, and distributed deployments. Maintain data residency and reduce overhead with remote engines to aggregate traffic into a centralised console, allowing you to keep data within your control and reducing traffic. Meet strict public-sector compliance requirements with a new hardened virtual appliance. See the entire attack surface with additional integrations and improvements to Akamai, AWS ECS, Cloudflare, Oracle Cloud Infrastructure, Citrix, and other connectors. Staying Ahead of Attackers Built by the largest team of API security researchers and developers in the industry, the Noname API Security Platform helps organisations proactively find vulnerabilities, stop attacks, reduce the risk of costly incidents, and ensure business continuity. "Improving security posture and shifting from reactive to proactive does more than reduce risk. It allows the entire enterprise to change its position in the market from follower to leader," said Oz Golan, CEO and Co-Founder of Noname Security. About Noname Security Noname Security is the only company taking a complete, proactive approach to API Security. Noname works with 20% of the Fortune 500 and covers the entire API security scope — Discovery, Posture Management, Runtime Protection, and API Security Testing. Noname Security is privately held, remote-first with headquarters in Silicon Valley, California, and offices in Tel Aviv and Amsterdam.

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PLATFORM SECURITY, SOFTWARE SECURITY, WEB SECURITY TOOLS

ReasonLabs Unveils Dark Web Monitoring Feature As Part Of Its RAV Online Security Solution

Prnewswire | March 31, 2023

ReasonLabs, the cybersecurity pioneer equipping families and individuals worldwide with the same level of cyber protection utilized by Fortune 500 companies, today announced the addition of a Dark Web Monitoring feature to its RAV Online Security solution, a web extension that provides real-time, 24/7 protection against a range of malicious online activity. The Dark Web Monitoring feature scans tens of thousands of combination lists, leaked databases, and malware data hidden from the surface net—the publicly accessible internet—for mentions of users' personal data, and instantly notifies users when breaches occur. The dark web, a part of the internet that can only be accessed via an anonymizing browser and is invisible to search engines, is frequently used by cybercriminals to engage in illicit online activity. Malicious actors use the dark web to find, buy and sell user data. This can include usernames and passwords; financial information including traditional banking data, cryptocurrency wallets, and credit card numbers; and a range of personally identifiable information such as names, phone numbers, emails, social security numbers, locations, and more. "The dark net is a hotbed of cybercrime where cyberattackers regularly find people's important personal and financial data. It is critical that users be protected at all times, which calls for monitoring the dark web for data breaches and alerting users immediately as and when breaches occur," said Kobi Kalif, CEO of ReasonLabs. "ReasonLabs' Online Security tool, is fully integrated with RAV Endpoint Protection and is now equipped with the Dark Web Monitoring capability, The extension scans both the surface net and dark web around the clock to identify malicious activity impacting our users to ensure they are always protected." "As technology progresses, our digital presence becomes increasingly important as we store valuable information and financial assets online. Unfortunately, the risk of exposure also increases, making it crucial to promptly detect any leaks and take appropriate action to prevent negative consequences in the real world," said Omri Gabai, VP Security Products at ReasonLabs. "That's why we've made the decision to offer our users a critical tool for monitoring the dark web." RAV Online Security protects against threats on the surface net such as URLs, phishing, harmful extensions, suspicious downloads, intrusive cookies and trackers, unauthorized notifications, and pop-ups. Dark Web Monitoring scans keep users up-to-date on any data breaches they may be involved with, and users receive an alert once a new breach occurs. RAV Online Security has more than five million users worldwide and is available as a free download. About ReasonLabs ReasonLabs is a global pioneer in cybersecurity detection and prevention. Powered by machine learning, ReasonLabs' cutting-edge technology is revolutionizing consumer-focused cybersecurity, bringing enterprise-grade protection into the homes of tens of millions of users worldwide. Its innovative engine scans over 2 billion files in 180 countries a day, delivering fast, comprehensive data while providing 24/7 real-time threat detection. Founded in 2016, ReasonLabs is based in New York and Tel Aviv.

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