The Top Five Cybersecurity Trends In 2023In recent years we have seen the topic of cyber security move from the IT department to the board room. As attacks have proliferated and the potential penalties, both regulatory and in terms of loss of customer trust, have increased, it has become a priority at every organizational level.The Top Five Cybersecurity Trends In 2023Adobe StockWe often think of cybersecurity as an ongoing battle between hackers and criminals, and security experts, which is constantly escalating due to constant advances in technology. This is the “glamorous” side of the business that we sometimes see depicted in TV shows and movies. And indeed, threats sometimes come from hostile foreign states or devious, tech-savvy criminal masterminds. In reality, however, threats are just as likely to emerge due to improperly secured networks leaving sensitive data accidentally exposed, or unwary or indiscreet employees using non-secured devices while working from home.A shift to a culture of home and remote working that started during the Covid-19 pandemic and has persisted in many organizations, as well as the spread of the internet of things (IoT) into every area of business and society, means there has never been more opportunity for lax security to cause headaches and expense. Because of this, cybersecurity is top of everyone’s agenda in 2023, so here’s a look at some of the key trends in 2023:Internet of Things and cloud securityThe more devices we connect together and network, the more potential doors and windows exist that attackers can use to get in and access our data. And in 2023, analysts at Gartner predict, there will be 43 billion IoT-connected devices in the world.MORE FOR YOUThe ‘Backsies’ Billionaire: Texan Builds Second Fortune From Wreckage Of Real Estate Empire He’d SoldEngland Cement Limited-Overs Legacy After Beating Pakistan To Win Cricket’s T20 World CupAvoiding The Next FTX-Type DisasterIoT devices – ranging from smart wearables to home appliances, cars, building alarm systems and industrial machinery – have often proven to be a bugbear for those with responsibility for cybersecurity. This is because, as they are often not used to store sensitive data directly, manufacturers haven’t always been focused on keeping them secure with frequent security patches and updates. That has changed recently, as it’s been shown that even when they don’t store data themselves, attackers can often find ways to use them as gateways to access other networked devices that might. Today, for example, you’re less likely to find a device shipped with a default password or PIN that doesn’t require the user to set their own, as was frequently the case in the past.In 2023, a number of governmental initiatives around the world should come into effect designed to increase security around connected devices, as well as the cloud systems and networks that tie them all together. This includes a labeling system for IoT devices set to be rolled out in the US to provide consumers with information on possible security threats posed by devices they bring into their homes.Recently, a cybersecurity priority for many organizations has been to secure the millions of devices worldwide that are being used for home and remote working since the start of the pandemic. Pre-pandemic, when we were all office-based, it was simple enough for security agents, probably based in IT departments, to regularly check and update company laptops and smartphones. This made it relatively simple to ensure they were free of spyware and malware and were running the latest versions of anti-virus software and other preventative measures. In 2023, when workers are more likely than ever to use personal devices to remotely connect to work networks, a new set of challenges has emerged.Connecting to networks with non-secured devices can lead to employees unwittingly falling victim to phishing attacks, where attackers trick users into divulging passwords. With more people working remotely, it’s increasingly likely we may find ourselves working in teams where we don’t know each other as well and are at risk of falling for impersonation scams. It also enables ransomware attacks, where software is injected into networks that erase valuable data unless users pay a ransom to attackers. The risk of this also increases in remote working situations, where it’s more likely that devices may be left unattended.International state-sponsored attackers target businesses as well as governmentsNation-states frequently take part in cyber-espionage and sabotage in an attempt to undermine unfriendly or competing governments or to access secrets. In this day and age, however, it’s increasingly likely that companies and non-governmental organizations (NGOs) will find themselves targeted by state actors.Since the 2017 WannaCry ransomware attack, believed to have been perpetrated by hackers affiliated with the government of North Korea, there have been hundreds of thousands of attacks on servers all around the world that security agencies believe can be traced to foreign governments.In 2023, more than 70 countries are due to hold governmental elections – events that are frequently a target for attack by hostile foreign interests. As well as hacking and cyberattacks on infrastructure, this will take the form of disinformation campaigns on social media. This often involves seeking to influence the results in favor of political parties whose victories would benefit the government of the hostile state. And cyber warfare will undoubtedly continue to form a key element in armed conflict, with one analyst saying of the Russia-Ukraine war that “Digital is an important a part of this war as is the fighting on the ground.”Artificial intelligence (AI) plays an increasingly prominent role in cybersecurityAs the number of attempted cyberattacks has grown rapidly, it has become increasingly tricky for human cybersecurity experts to react to them all and predict where the most dangerous attacks will take place next. This is where AI comes into play. Machine learning algorithms can examine the vast amount of data moving across networks in real-time far more effectively than humans ever could and learn to recognize patterns that indicate a threat. According to IBM, companies that use AI and automation to detect and respond to data breaches save an average of $3 million compared to those that don’t.Unfortunately, thanks to the ever-growing availability of AI, hackers, and criminals are growing increasingly proficient at using it too. AI algorithms are used to identify systems with weak security or that are likely to contain valuable data among the millions of computers and networks connected to the internet. It can also be used to create large numbers of personalized phishing emails designed to trick receivers into divulging sensitive information and become increasingly good at evading automated email defense systems designed to filter out this type of mail. AI has even been used to artificially “clone” the voice of senior executives and then to fraudulently authorize transactions!Phishing attacks rely on “social engineering” methods to trick users into divulging valuable information or installing malware on their devices. No one needs technical skills to learn to become aware of these types of attacks and to take basic precautions to avoid falling victim. Likewise, basic security skills like the safe use of passwords and developing an understanding of two-factor authentication (2FA) should be taught across the board and continually updated. Taking basic precautions like this to foster a culture of cybersecurity-awareness should be a core element of business strategy at organizations that want to ensure they build resilience and preparedness over the coming 12 months.To stay on top of the latest on new and emerging business and tech trends, make sure to subscribe to my newsletter, follow me on Twitter, LinkedIn, and YouTube, and check out my books ‘Tech Trends in Practice’ and ‘Business Trends in Practice, which just won the 2022 Business Book of the Year award.
US Army Analytics Group – Cybersecurity Anomaly Detection 1000X Faster With Less False PositivesThe US Army Analytics Group (AAG) provides analytical services for various organizational operations and functions, including cybersecurity. AAG signed a Cooperative Research and Development Agreement (CRADA) with Entanglement, Inc., and strategic partner Groq, Inc., a US semiconductor company, to determine an optimal cybersecurity anomaly detection capability.AAG has released a Validation Report confirming Entanglement AI’s solution that solves cybersecurity anomaly detection three orders of magnitude faster than traditional methods with fewer false positives. In this article, I will unpack the details behind these dramatic results.GroqMethods for detecting cyber anomaliesAll cyber-attacks, whether zero-day or ransomware, share a common thread: cyber anomalies. A cyber anomaly is something out of the ordinary, an outlier, such as excessive logins, spikes in traffic, or a considerable number of remote logins.The three primary forms of anomaly detection are: unsupervised, supervised, and semi-supervised. Security analysts use each approach to varying degrees of effectiveness in cybersecurity applications.Unsupervised anomaly detection uses an unlabeled test set of data. It involves training a machine learning (ML) model to identify normal behavior using an unlabeled dataset. The assumption is that most instances in the data set will be normal. The anomaly detection algorithm detects instances that appear not to fit with the data set. Unsupervised anomaly detection algorithms include Autoencoders, K-means, Gaussian Mixture Modelling (GMMs), hypothesis tests-based analysis, and Principal Component Analysis (PCAs).MORE FOR YOUThe Inside Story Of Papa John’s Toxic CultureDigital Banking Didn’t Kill Bank Branches—But Chatbots WillNew Coffee Pod Brewer Aims For SustainabilitySupervised anomaly detection uses data set with a set of “normal” and “abnormal” labels and a trained classification algorithm.ML builds a predictive model from a labeled training set with normal and abnormal data. Supervised methods include Bayesian networks, k-nearest neighbors, decision trees, supervised neural networks, and support vector machines (SVMs).Semi-supervised anomaly detection techniques use a combination of a small set of labeled data and large amount of unlabeled data for training. That model then detects anomalies by testing how likely the model is to generate any one instance encountered.Executive order to adopt zero-trust securityIn May of 2021, President Biden issued an Executive Order mandating all federal agencies to adopt zero-trust security. One month later, in June 2021, Entanglement, Inc., and strategic partner Groq, Inc., a US semiconductor company, made a no-cost offer of assistance to detect and resolve anomalies in support of a zero-trust environment.The project’s goal was to continuously monitor a zero-trust security architecture, requiring an anomaly detection algorithm capable of constantly vetting all users on a network and actions. A similar algorithmic framework will be suitable for demonstrating Intrusion Detection Systems (IDS) and expanded threat awareness at network endpoints.The project focused on three areas: improving auto-encoder functionality and performance over existing systems, accelerating generative adversarial network (GAN) functionality, and integrating a quantum-inspired optimization SVM algorithm using Quadratic Unconstrained Binary Optimization (QUBO).Cybersecurity anomaly detection faster than traditional methodsThe work by Entanglement and Groq under the CRADA demonstrated cybersecurity anomaly detection faster than traditional methods and better performance measured by Key Performance Parameters (KPPs). The KPP’s covered metrics related to total inferences per second, percentage of threats detected, accuracy, recall, precision, other confusion matrix-based metrics, and Area Under the Curve (AUC).Previous AAG efforts detected 120,000 inferences per second, the benchmark and standard achievable using a QUBO model.Within six months, Entanglement achieved an anomaly detection rate of 72,000,000 inferences per second and demonstrated the potential of attaining 120,000,000 inferences per second across a broad domain of data processing systems.Validation cases used the KDD Cup 1999 (KDD99) and CICIDS2017 data sets.The calculated output demonstrated for the Autoencoder and GAN solution was highly effective in determining anomalies. The QUBO SVM was built in quantum-ready form and was also effective at anomaly detection.Wrapping upEntanglement has delivered a dramatically faster and more accurate cybersecurity anomaly detection capability – with far fewer false positives – than traditional technology. The Entanglement and Groq solution provided anomaly detection at 120 million inferences per second, three orders of magnitude faster than any other technology.What is most surprising is that Entanglement used quantum-based algorithms, but there wasn’t a quantum computer that could perform as fast as GroqChip. The answer lies in the core Groq technology, a purpose-built digital circuit design with high degrees of parallelism, making it for solving a range of problems such as deep neural network models and Quadratic Unconstrained Binary Optimization (QUBO) problems.We have known for a while that realizing the benefits of AI, innovative infrastructure, and predictive intelligence will require a much simpler and more scalable processing architecture than a legacy solution.Groq designed a chip that delivers predictable and repeatable performance with low latency and high throughput across the system called the tensor streaming processor (TSP). The new, simpler processing architecture is designed specifically for the performance requirements of ML applications and other compute-intensive workloads.Groq now has multiple customers across verticals who have used their accelerator solutions to achieve orders of magnitude performance improvements. I look forward to sharing those stories with you in the future.
Another successful event by Datafest This time in the city of kumasi Ghana 🇬🇭I’m exhausted, but I loved last day of #dfa22What I loved was that everyone was ready to engage in the conversations that anyone building digital products right now should be having about technology and its current role in society.Whether it was on stage, during press interviews, or in small group meetings, people weren’t shy about surfacing and sharing strong points of views with me on a variety of topics: privacy, social impact, data protection, security, safety, ethical design, etc.If today’s conversations are an indication that people want to engage and tackle these problems together in earnest, then I’m looking forward to continuing conversations tomorrow online on Twitterspace with different communitiesespecially — given tomorrow’s keynote focus on responsible innovation — and into the future.Left alone technology will have both positive and negative effects on society; intentionally or unintentionally. So I was proud to see the team focus this year’s datafest on demonstrating the potential for positive impact. Watching 200+ strangers from around the world, form small teams, and, in less than 2 days, build working prototypes that address some of society’s biggest challenges e.g. access to quality education for all, access to decent work, building more inclusive and sustainable cities and communities, etc. was a real affirmation of why I believe technology to be a force for good in this world. looking forward to data fest #dfa23💙🖤
Lately have been seeing different tech Giants launching dark mode which is really cool but we yet to see ITNetwork dark mode..So I did my own dark mode days ago. I’m thrilled to announce that we’re rolling out dark mode to all users of ITNetwork. Rate the dark mode if it’s cool. 💯Like if it’s cool also tag a friend to see it too. thanks for your support.
Cybersecurity In ASEAN: A Shared Responsibility – OpEdNovember 7, 2022 by Eurasia ReviewWhile the internet has facilitated an explosion in innovation, commerce, and social connection, it also poses a risk of information system breaches that could compromise our privacy and leave us vulnerable to identity thefts. Strange as it may sound, consumers’ PCs, smart phones, Wi-Fi networks, bank accounts, merchants swiping credit cards, and other devices are constantly susceptible to cyberattacks.These risks disrupt enterprises, inflicting substantial losses at times, not to mention the damage in terms of reputation. They also represent a threat to national security on a bigger scale. Even while secure network systems are continually being developed to address the cyber dangers, the dynamic nature of cyberspace necessitates continuous refinement of these systems and the laws that regulate them.The risks exposed by cyberattacks and other related crimes have grown dramatically as technologies and the internet are utilized more frequently by SMEs to enhance business processes. Such data breaches result in immediate financial damages, as well as legal action taken by persons whose personal information was compromised. Although ASEAN is one of the largest manufacturing hubs in the Asian region, these security concerns have received less attention. Only 21.9% of the 1533 stakeholders surveyed in Southeast Asia recently selected cybersecurity as a priority area. The unpredictable nature of the threat environment necessitates a multilayered strategy that incorporates effective personnel training, data protection, and threat detection and response.As per a report, there were around 2.7 million ransomware occurrences in ASEAN during the first nine months of 2020. The number of ransomware attacks has skyrocketed this year compared to the same period last year. The estimated total exposure of the top ASEAN corporations is in the billions of dollars, stifling innovation in the fields of technology, business, retail, and finance. Interpol has launched a global awareness campaign to protect communities from cybercriminals who may use the pandemic as cover to steal data, perpetrate online fraud, or otherwise cause havoc in the digital sphere.Underinvestment in cybersecurity has only made things worse. Even though cybersecurity threats are increasing, most ASEAN countries, except for Singapore, spend a much less proportion of their GDP on cybersecurity than the rest of the world. Furthermore, different perspectives on cyberspace have led to the paucity of any efficient method or structure for international cooperation in cybersecurity. In the ASEAN ICT Masterplan 2020, cyber dangers were formally acknowledged as a threat that might impede ASEAN’s progress as a digitally enabled community. One of the eight areas of focus of the document was on ensuring the safety of digital information. Unfortunately, several ASEAN countries still have deficiencies in their cybersecurity policy framework. Some countries in ASEAN have become global hotspots that are used as launchpads for cyberattacks elsewhere. Foreign investment and economic growth are stymied as a result, undermining regional security and increasing ASEAN’s risk profile.Key goals for 2020 included creating a standardised method for reporting cyber incidents and forming a regional ASEAN Computer Emergency Response Team (CERT) comprised of representatives from the CERTs of the member states. Some of these goals have been accomplished, but ASEAN still has work to do in developing a comprehensive cybersecurity strategy for the region. This includes setting clear priorities, building a transparent governance framework with defined roles and responsibilities.The European Union’s regional cyber resilience and cooperation have seen substantial improvements. It has established challenging yet achievable objectives, improved communication, and standardised procedures among its member nations. In this regard, ASEAN should learn from European Union practise as well. ASEAN needs a more comprehensive cybersecurity legislative framework, or what we would call coherent cyber governance. Such a framework would need member nations concerted action to reduce cyber dangers. Building on existing platforms like the ASEAN Ministerial Cybersecurity Conference, the ASEAN Cybersecurity Coordinating Committee, and the ASEAN Regional Forum Inter-Sessional Meeting on Security in the Use of Information and Communication Technologies, ASEAN can further improve coordination with member states and beyond.Dr. Sameer Kumar, Associate Professor, Asia-Europe Institute, Universiti Malaya, Kuala Lumpur
We have good news!Both our Founder/Director of Development and Co-Founder/Executive Director have been nominated for the Ingressive4Good Hackfest Awards 2022 in the Tech Man of the Year and Tech Woman of the Year categories.I4G Tech Awards was created to recognize and celebrate individuals and companies in the tech community that are positioning themselves as pillars of the community and contributing to the overall African tech ecosystem.Being nominated in these categories validates their individual effort and ours as a team. In order to win, we need your votes.To vote, go to bit.ly/I4GTechAwards or click the link in our bio.Please keep in mind that voting will end on November 9th, 2022.#14GHackfest2022 #TechAwards #Tech4Dev
The Global Artificial Intelligence In Cybersecurity Market size is expected to reach $57.1 billion by 2028, rising at a market growth of 24.5% CAGR during the forecast periodThe artificial intelligence in cybersecurity is an integration of the AI and cybersecurity sector in order to help enterprises in reducing their vulnerability risk while also strengthening their entire security posture.New York, Oct. 25, 2022 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Global Artificial Intelligence In Cybersecurity Market Size, Share & Industry Trends Analysis Report By Offering, By Vertical, By Application, By Type, By Technology, By Regional Outlook and Forecast, 2022 – 2028” – https://www.reportlinker.com/p06352700/?utm_source=GNW AI uses historical data to find patterns and trends in cyber security. Then, future attacks are predicted using this information.AI-powered systems can be set up to automatically respond to dangers and combat online threats more quickly. Analyzing and improving cyber risks as well as cyber-attacks is no more a task on a human scale as the business attack surface develops and changes. To accurately quantify risk, up to highly-varying signals must be handled, based on the scale of the organization.Neural networks as well as other AI tools and techniques have emerged in response to this unprecedented challenge to aid information security teams in protecting sensitive data, decrease the risk of breaches, and enhance their security posture through more efficient and effective threat detection as well as threat removal features.Artificial intelligence (AI) is assisting under-resourced security tasks and operations analysts to keep ahead of threats as cyberattacks increase in volume and complexity. Artificial intelligence (AI) technologies, like machine learning or natural language processing, curate threat intelligence from various historical databases, blogs, and news articles to offer quick insights to break through the congestion of daily alerts, significantly lowering response times.COVID-19 Impact AnalysisWidespread frauds involving the novel coronavirus and the spoofing of official institutions, like the WHO, present additional difficulties for organizations. For instance, Google discovered a very significant number of malware and phishing emails each day involving COVID-19 frauds during the initial 2020. In order to protect servers and databases from such hazards, the adoption of Artificial Intelligence in cybersecurity increased at a very rapid pace. Therefore, the growth of the Artificial Intelligence in cybersecurity market was propelled during the COVID-19 pandemic.Market Growth FactorsEnsures A Higher Level Of Security From Bot Attacks And SpamNowadays, a significant portion of internet traffic is made up of harmful bots. Bots can be a serious threat, causing everything from account takeovers using stolen passwords to phony account creation as well as data fraud. Automated threats cannot be countered solely through manual reactions. With the aid of AI and machine learning, it is possible to differentiate between good bots (such as search engine crawlers) and bad bots as well as between humans and website visitors.Ability To Predict And Prevent BreachesThe IT asset inventory, which is a precise and thorough list of all users, devices, and apps with various levels of access to different systems, is determined with the use of AI algorithms. AI-based solutions may now estimate how and where companies are most susceptible to being attacked based on the asset inventory or threat exposure, allowing them to plan and direct resources to regions with the greatest risks.Market Restraining FactorsIncreasing Prevalence And Complexities Of Data PoisoningThe adoption of artificial intelligence is exponentially increasing all over the world. Artificial intelligence has been employed to evaluate creditworthiness, identify faces, and forecast weather. At the same time, the sophistication of hacks has increased while adopting stealthier techniques. Given that all industries were looking for better tools and innovative uses for their technology, the fusion of AI and cybersecurity seemed inevitable.Type OutlookBased on Type, the Artificial Intelligence in Cybersecurity Market is segmented into Network Security, Endpoint Security, Vertical Security, and Cloud Security. In 2021, the endpoint segment recorded a significant revenue share of AI in cybersecurity market. Organizations will push for continuous monitoring and risk-based application management, and automatic classification of the AI-based endpoint security. Endpoint security solutions frequently generate an allow list based on well-known software and a refuse list based on well-known malware automatically.Offerings OutlookOn the basis of Offerings, the Artificial Intelligence in Cybersecurity Market is segregated into Hardware, Software, and Services. In 2021, the services segment procured the largest revenue share of the Artificial Intelligence in cybersecurity market. The market for Artificial Intelligence in cybersecurity is anticipated to expand significantly due to the segment. The market’s expansion will be fueled by a strong need for application programming interfaces that include machine learning methods, speech, sensor data, and vision.Technology OutlookBy Technology, the Artificial Intelligence in Cybersecurity Market is classified into Machine Learning, Natural Language Processing (NLP), and Context-aware computing. In 2021, the machine learning segment witnessed the highest revenue share of the Artificial Intelligence in cybersecurity market. With deep learning becoming increasingly prevalent across end-use sectors, machine learning technology would experience rapid growth. Leading businesses have been employing machine learning for threat identification and email filtering.Application OutlookBased on Application, the Artificial Intelligence in Cybersecurity Market is categorized into Identity & Access Management, Risk & Compliance Management, Data Loss Prevention, Unified Threat Management, and Fraud Detection/Anti-Fraud & Threat Intelligence. In 2021, the unified threat management segment registered a significant revenue share of the Artificial Intelligence in cybersecurity market. In order to stop email phishing, fraud, and phony records, AI techniques may become more popular. Unified threat management (UTM) has gained more momentum with businesses as a way to safeguard their digital assets from dangers like spyware-infected files, phishing scams, unauthorized website access, and trojans.Vertical OutlookBy Vertical, the Artificial Intelligence in Cybersecurity Market is divided into BFSI, Retail, Government & Defense, Manufacturing, Enterprise, Healthcare, and Others. In 2021, the BFSI sector procured a significant revenue share of the Artificial Intelligence in cybersecurity market. Industry insiders anticipate that the deployment of AI in the fintech industry will increase the market share of AI in cybersecurity. The adoption of AI-based solutions to detect and recognize financial crimes and fraud is largely credited for the reliable projection.Regional OutlookRegion-Wise, the Artificial Intelligence in Cybersecurity Market is analyzed across North America, Europe, Asia-Pacific, and LAMEA. In 2021, North America accounted for the maximum revenue share of the artificial intelligence in cybersecurity market. The increase in network-connected devices brought on by the adoption of IoT, 5G, and Wi-Fi 6 is primarily attributed to the growth of the regional market. The expansion of the 5G network has been driven by businesses in the automotive, government, healthcare, energy, and mining industries, which might be a point of access for hackers.The major strategies followed by the market participants are Product Launches. Based on the Analysis presented in the Cardinal matrix; Amazon Web Services, Inc. and Intel Corporation are the forerunners in the Artificial Intelligence In Cybersecurity Market. Companies such as IBM Corporation, Micron Technology, Inc., Fortinet, Inc., are some of the key innovators in Artificial Intelligence In Cybersecurity Market.The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Amazon Web Services, Inc., FireEye, Inc., BlackBerry Limited, Fortinet, Inc., Intel Corporation, RELX PLC, Micron Technology, Inc., Acalvio Technologies, Inc., and Darktrace Holdings Limited.Recent Strategies deployed in Artificial Intelligence In Cybersecurity MarketPartnerships, Collaborations and Agreements:Aug-2022: Darktrace entered into a partnership with HackerOne, a leader in Attack Resistance Management. Under this partnership, the companies aimed to integrate the PREVENT/Attack Surface Management technology of Darktrace into HackerOne’s continuous security assessment capabilities.Jul-2022: Acalvio Technologies partnered with Booz Allen Hamilton, an American management and information technology consulting firm. Following this partnership, the companies aimed to help federal government agencies in empowering cyber infrastructure by offering an autonomous deception platform of Acalvio in order to address advanced persistent threats, insider threats, and ransomware.Jul-2022: Amazon Web Services came into a partnership with Siemens Energy, an energy company. This partnership aimed to integrate the Managed Detection and Response industrial cyber security solution of Siemens Energy into the AWS Marketplace to facilitate it for customers to search, compare, and quickly start leveraging services and software that run over AWS.May-2021: Darktrace partnered with Microsoft, the leading software giant. This partnership aimed to offer enterprise-scale self-learning AI to mutual customers of companies in order to autonomously detect and respond to cyber threats.Acquisition & Mergers:Jun-2022: IBM took over Randori, an attack surface management, and offensive cybersecurity provider. This acquisition aimed to enable IBM to help customers in detecting external facing assets continuously in the cloud or on-premises. Moreover, the company also aimed to aid customers in prioritizing exposures posing significant risks.Feb-2022: Darktrace acquired Cybersprint, an attack surface management company. Through this acquisition, the company aimed to further introduce a new European R&D Center throughout the Netherlands to leverage the expertise of software engineers and mathematicians of Cambridge.Nov-2021: IBM acquired ReaQta, an endpoint detection and response provider. Through this acquisition, the company aimed to expand its cybersecurity threat detection and response capabilities by leveraging the endpoint security solutions of ReaQta.Apr-2021: IBM completed its acquisition of Turbonomic, an application resource, and network performance management software provider. With this acquisition, the company aimed to aid businesses in their AIOps initiatives by providing full-stack application observability and management in order to enhance performance and reduce costs.Nov-2020: FireEye took over Respond Software, an automated security incident investigations platform provider. This acquisition aimed to complement the XDR capabilities of the company in order to leverage the integrated capabilities of security professionals and the platform of Respond.Product Launches and Product Expansion:Jul-2022: Darktrace released the Darktrace PREVENT, an interconnected suite of AI products. With this launch, the company aimed to proactively protect businesses from high volume and complex cyber threats.Jun-2022: Fortinet released FortiRecon, a complete Digital Risk Protection Service portfolio. With this launch, the company aimed to integrate automation capabilities, machine learning, and FortiGuard Labs?cybersecurity experts to offer a solution with the capability to manage the risk posture of the company and provide meaningful action to protect its brand reputation, data, and assets.May-2022: Fortinet unveiled FortiNDR, a new self-learning AI capabilities solution into its network detection and response offering. The new solution aimed to leverage deep neural networks in combination with machine learning in order to more quickly recognize cyber-attacks according to their anomalies within network activity as well as limit exposure to threats.Apr-2022: Fortinet introduced FortiOS 7.2, the latest upgrade into its flagship operating system and the foundation of the Fortinet Security Fabric. Through this product expansion, the company aimed to converge security at each network edge linked with the scale and performance required to identify and prevent threats throughout the entire infrastructure of an organization.Jan-2022: Acalvio and Honewell launched the Honeywell Threat Defense Platform, an Acalvio-powered solution to detect known and unknown attacks. The new solution aimed to offer complex active defense through autonomous deception tactics to overpower attackers and deliver high-fidelity threat detection.Jan-2022: BlackBerry Limited and Cylance rolled out the new ZTNA-as-a-service solution, an advanced AI-driven cybersecurity solution powered by CylanceGATEWAY. With this product launch, the companies aimed to offer a contextual correlation of device and network telemetry to businesses of all sizes in order to limit access to authenticated, trusted, and known devices and users.Jan-2021: Fortinet released the FortiXDR, a new Extended Detection, and Response solution. The new solution aimed to lower complications, accelerate detection, and coordinate response to breaches and cyberattacks throughout the organization.Scope of the StudyMarket Segments covered in the Report:By Offering• Services• Hardware• SoftwareBy Vertical• Enterprise• BFSI• Retail• Government & Defense• Healthcare• Manufacturing• OthersBy Application• Fraud Detection/Anti-Fraud & Threat Intelligence• Identity & Access Management• Risk & Compliance Management• Data Loss Prevention• Unified Threat Management & OthersBy Type• Network Security• Endpoint Security• Vertical Security• Cloud SecurityBy Technology• Machine Learning• Natural Language Processing (NLP)• Context-aware ComputingBy Geography• North Americao USo Canadao Mexicoo Rest of North America• Europeo Germanyo UKo Franceo Russiao Spaino Italyo Rest of Europe• Asia Pacifico Chinao Japano Indiao South Koreao Singaporeo Malaysiao Rest of Asia Pacific• LAMEAo Brazilo Argentinao UAEo Saudi Arabiao South Africao Nigeriao Rest of LAMEACompanies Profiled• IBM Corporation• Amazon Web Services, Inc.• FireEye, Inc.• BlackBerry Limited• Fortinet, Inc.• Intel Corporation• RELX PLC• Micron Technology, Inc.• Acalvio Technologies, Inc.• Darktrace Holdings LimitedUnique Offerings • Exhaustive coverage• Highest number of market tables and figures• Subscription based model available• Guaranteed best price• Assured post sales research support with 10% customization freeRead the full report: https://www.reportlinker.com/p06352700/?utm_source=GNWAbout ReportlinkerReportLinker is an award-winning market research solution. 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Bravura Security and Moran Technology Consulting to Host Cybersecurity Strategy Workshop at EDUCAUSE 2022DENVER–(BUSINESS WIRE)–The higher education sector has been a popular target of cyberattacks, highlighting just how vulnerable these institutions are. In April, final exams were canceled at Austin Peay State University due to a ransomware attack. Last year, Howard University was breached and is now honoring the anniversary with a particularly meaningful cybersecurity awareness campaign. More awareness and security tactics are needed in higher education.“We have seen how at risk school districts, colleges, and universities across the country are to cyberattacks”Bravura Security will co-host a workshop with Moran Technology Consulting Tue. Oct. 25 from 1-4 p.m. MT, ahead of this year’s EDUCAUSE Annual Conference, to offer guidance on how to generate an identity and access management and governance assessment while also developing a roadmap that protects your institution. Bravura Security will also have a presence at booth #913 for the entirety of the conference, including a networking reception Wed. Oct. 26 from 3-5 p.m. MT.“We have seen how at risk school districts, colleges, and universities across the country are to cyberattacks,” said Nick Brown, CEO at Bravura Security. “These institutions need to be armed with effective identity security practices and gain expertise so they can defend against this rising threat. Our workshop offers a 10-step assessment and helps leaders develop a security plan to reduce their risk and create a roadmap to a stronger security posture.”Registration for the workshop is currently full, but participants can join a waitlist or stop by on the day of the event. Conference attendees that can’t join the workshop can still book a mini-workshop during the conference to gain insight on identity access management (IAM) and identity governance administration (IGA) programs for their institutions.“Hackers have colleges and universities in the crosshairs, but these institutions are largely not resilient enough,” said Scott Weyandt, Vice President of Information Security at Moran Technology Consulting. “With thousands of new students joining each semester at the same time, higher education has a unique IAM challenge that most businesses don’t face. They need unique solutions to keep them well-protected from attacks.”Find out how the Bravura Security Fabric can benefit your institution, discuss challenges seen across various organizations, and book a meeting at booth #913. Airbrush artists will also be set up at the booth, designing custom water bottles for those who stop by.Learn more about Bravura Security’s presence at the EDUCAUSE Annual Conference.Bravura Security, an analyst-recognized leader formerly known as Hitachi-ID, delivers decades of experience and the industry’s only single Identity, Privileged Access, Password and Passwordless management platform, the Bravura Security Fabric. This end-to-end platform offers users a robust and frictionless security experience, governance and compliance checks, and streamlined service-level agreements via a single platform, which further decreases overall risk and lowers total cost of ownership for deployment and administration.Moran Technology Consulting (MTC) is a leading IT consulting firm, serving higher education, K-12 and public sector clients in the U.S. and around the world. MTC provides Identity and Access Management (IAM) assessments, strategic planning, roadmaps, platform evaluation, and implementation services and have worked with over 300 universities, university systems, and colleges. The MTC IAM Assessment Framework builds upon international standards to enable institutions of higher education to build transformative IAM programs and identity focused cybersecurity solutions. MTC is highly experienced, vendor independent, and driven to achieve outstanding client satisfaction.Carolyn Evans Director, Marketing, Bravura Security carolyn.evans@bravurasecurity.comLexie Harkness Gregory FCA on behalf of Bravura Security lexie@gregoryfca.com
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