TigerGraph’s Post

🚀 Elevate Your Security Game: Harness the Power of Graph Databases for Superior Threat Detection Graph databases have been around for years, but their potential in security threat detection is just beginning to be fully realized. By pairing graph databases with advanced detection algorithms, security product leaders can transform them into powerful "knowledge engines" that enhance AI threat detection models. Investing in this emerging tech now can significantly boost your detection accuracy, close security gaps, and give your solutions a competitive edge. Don’t get left behind—download the latest Gartner report to discover how graph databases are revolutionizing threat detection and response. #CyberSecurity #GraphDatabases #ThreatDetection #EmergingTech

🚀 Elevate Your Security Game: Harness the Power of Graph Databases for Superior Threat Detection Graph databases have been around for years, but their potential in security threat detection is just beginning to be fully realized. By pairing graph databases with advanced detection algorithms, security product leaders can transform them into powerful "knowledge engines" that enhance AI threat detection models. Investing in this emerging tech now can significantly boost your detection accuracy, close security gaps, and give your solutions a competitive edge. Don’t get left behind—download the latest Gartner report to discover how graph databases are revolutionizing threat detection and response. #CyberSecurity #GraphDatabases #ThreatDetection #EmergingTech

AI is Revolutionizing How We Identify Weaknesses in the Tech Stack For businesses today, maintaining an efficient and secure tech stack is essential, but manual monitoring often leaves gaps in performance and security. AI-driven solutions are now proving invaluable in locating and addressing these hidden vulnerabilities. Here’s how AI can transform your tech stack assessment: Automated System Audits: AI can continuously monitor your entire tech infrastructure, identifying bottlenecks and underutilized resources in real time, saving you the effort of manual diagnostics. Predictive Maintenance: Instead of waiting for things to break, AI uses data analytics to predict potential failures or system slowdowns, allowing your team to address issues before they impact operations. Security Threat Detection: AI's ability to scan for unusual patterns across systems can detect potential security breaches faster than traditional methods, securing weak points that might otherwise be missed. Data-Driven Optimizations: By analyzing how your tech stack performs, AI can recommend specific upgrades—from optimizing cloud services to improving network configurations—ensuring your systems evolve with your business needs. Leveraging AI means more than efficiency; it’s about ensuring your tech infrastructure can grow, adapt, and secure your business in an ever-changing landscape. Is your business ready for this transformation? Let's talk! #AITechStack #DigitalTransformation #AIinBusiness #TechOptimization #Cybersecurity #FutureOfTech

Zero Trust in the Age of AI Cybercriminals have embraced emerging technologies like AI as quickly as the rest of the world. In today’s rapidly evolving threat landscape, your Zero Trust strategy has become more essential than ever. Learn how to bolster your Zero Trust strategy with innovative solutions that’ll help you stay ready for changes to the threat landscape at the Zero Trust in the Age of AI spotlight on July 31. #ZeroTrust #ai #generativeai #responsibleai #openai #ChatGPT #FutureOfWork #officewillneverbethesame #AzureOpenAI #GPT4 #Copilot #Microsoft #AOAI #cybersecurity #webinar https://lnkd.in/g7UARujJ

𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐨𝐮𝐫 𝐥𝐚𝐭𝐞𝐬𝐭 𝐚𝐝𝐝𝐢𝐭𝐢𝐨𝐧𝐬 𝐭𝐨 𝐭𝐡𝐞 𝐄𝐱𝐞𝐜𝐰𝐞𝐛 𝐌𝐚𝐫𝐤𝐞𝐭𝐩𝐥𝐚𝐜𝐞! We're excited to feature Anetac, Bedrock Security, and Cape Privacy ! 𝐀𝐧𝐞𝐭𝐚𝐜: A platform that continuously discovers, monitors, and responds to identity vulnerabilities for human and non-human accounts, providing real-time visibility, access chain mapping, and behavioral analysis to mitigate security risks. 𝐁𝐞𝐝𝐫𝐨𝐜𝐤 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲: The frictionless data security company, is revolutionizing data security in the cloud and GenAI era with its leading data security platform powered by the industry’s only AI Reasoning Engine (AIR). Bedrock delivers the speed, scale, and precision demanded by modern enterprises to embrace the explosive growth of data without introducing risk. 𝐂𝐚𝐩𝐞 𝐏𝐫𝐢𝐯𝐚𝐜𝐲: Cape Privacy is an enterprise SaaS privacy platform for collaborative machine learning and data science. It helps companies maximize the value of their data by providing an easy-to-use collaboration layer on top of advanced privacy and security technology, helping enterprises increase the breadth of data included in machine learning models. Cape Privacy's platform is flexible, adaptable, and open source. It helps build trust over time providing for seamless collaboration and compliance across an organization or multiple businesses. If you're looking to connect with top CISOs and reach potential customers, join the Execweb Marketplace and showcase your services. 👉 Discover more: https://lnkd.in/dYhcvwpk #CyberSecurity #Marketplace #CISO #Anetac #BedrockSecurity #CapePrivacy

𝗔𝗿𝗲 𝗠𝗘𝗟𝗧 𝗗𝗮𝘁𝗮 𝗦𝗼𝘂𝗿𝗰𝗲𝘀 𝗦𝘁𝗶𝗹𝗹 𝗞𝗶𝗻𝗴 𝗶𝗻 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆? For decades, security professionals have relied on a core set of data sources for deep visibility into their systems: Metrics, Events, Logs, and Traces (MELT). But with the ever-evolving threat landscape, is MELT still the reigning champion? Metrics, events, logs, and traces (MELT) play a crucial role in the MELT framework by providing visibility into the security posture of an organization. These components work together to: 𝗠𝗲𝘁𝗿𝗶𝗰𝘀: Quantify the effectiveness of security controls and measure the overall security posture of an organization. 𝗘𝘃𝗲𝗻𝘁𝘀: Record significant occurrences within the network, such as login attempts, file modifications, or security breaches. 𝗟𝗼𝗴𝘀: Provide a detailed record of all activities within the network, including user actions, system events, and application logs. 𝗧𝗿𝗮𝗰𝗲𝘀: Capture the flow of data through a system, providing insights into the behavior of applications and services. While MELT has been widely adopted in the cybersecurity industry, its effectiveness remains under scrutiny today. As cybercriminals become more sophisticated, the limitations of MELT become evident: * 𝗩𝗼𝗹𝘂𝗺𝗲 𝗮𝗻𝗱 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆: The sheer volume and complexity of MELT data can make it difficult to analyze and extract meaningful insights. * 𝗟𝗮𝗰𝗸 𝗼𝗳 𝗖𝗼𝗻𝘁𝗲𝘅𝘁: MELT data often lacks context, making it difficult to determine the significance of events or identify the root cause of security incidents. * 𝗙𝗮𝗹𝘀𝗲 𝗣𝗼𝘀𝗶𝘁𝗶𝘃𝗲𝘀: MELT systems can generate false positives, which can lead to unnecessary alerts and disruption of operations. Does the future of MELT lies in its integration with artificial intelligence (AI) and machine learning (ML) technologies - for more automation, identifying anomalies on scale and to provide real-time insights and recommendations to security "professionals"? 𝙒𝙝𝙖𝙩 𝙚𝙢𝙚𝙧𝙜𝙞𝙣𝙜 𝙩𝙚𝙘𝙝𝙣𝙤𝙡𝙤𝙜𝙞𝙚𝙨 𝙙𝙤 𝙮𝙤𝙪 𝙨𝙚𝙚 𝙘𝙤𝙢𝙥𝙡𝙚𝙢𝙚𝙣𝙩𝙞𝙣𝙜 𝙩𝙝𝙚 𝙈𝙀𝙇𝙏 𝙖𝙥𝙥𝙧𝙤𝙖𝙘𝙝 𝙛𝙤𝙧 𝙨𝙩𝙧𝙤𝙣𝙜𝙚𝙧 𝙨𝙚𝙘𝙪𝙧𝙞𝙩𝙮? #cybersecurity #MELT #datasecurity #infosec #discussion

IBM's recent annual Cost of a Data Breach Report highlights the concerning reality for Canadian organizations, facing an average cost of CA$6.32M per breach in 2024. The report underscores the importance of Artificial Intelligence (AI) in combating cybersecurity. A few interesting stats: * 61% of Canadian businesses are utilizing AI and automation to fortify their security defences, leading to quicker breach responses and cost reductions. * Financial sector pays $9.28 million on average per breach, the technology sector is paying $7.84 million on average, and the industrial sector pays $7.81 million on average. * Organizations with extensive use of security AI and automation report costs of CA$2.84 million less and 54-day shorter breach lifecycles. https://lnkd.in/gpeh6WQU

Cyber/information security (87%), Generative AI (87%), AI (84%) and #BI / #Data #Analytics (82%) are the top for technology areas targeted for increased funding in 2025 based on the percentage of respondents who expect to increase funding as per the 2025 Gartner CIO and Technology Executive Survey, compared with 2024. Participants in the 2025 Gartner CIO and Technology Executive Survey were asked to indicate expected changes to their funding plans for 20 common technology types. Overall, #Cybersecurity is the most common area that will see funding increases, fueled by the increasing threat of cyberattacks. #GenerativeAI and #ArtificialIntelligence round out the top three. The expectations are high around the tremendous potential these technologies promise in terms of productivity, cost cutting, increased efficiency and more. The ranks shift, depending on the industry, location and company size. Gartner clients who are CIOs should use this tool to discover what their peers are doing and to make their own #funding plans: https://lnkd.in/egvbcVEW

A colleague of mine shared this article. I'm obviously biased but I think Lance Williams is spot on for both data protection and the value of Cyera. “The coolest technology I saw, which isn’t new but is a new approach, is a company called Cyera. They find data in a fraction of the time of anything that’s ever been seen. “Cyera comes along and has rolled out umpteen proof of concepts, has scored $450m in funding and takes six minutes to set up – 12 hours later you’ve got 25-30 TBs of data found and classified. “So that was my ‘wow’ moment’. “Over the next 12 months, as legislation drops, everyone will realize that all the data they’ve been piling into these large language models isn’t very secure, and being able to classify it and do something about it is really important. So Cyera’s arrival is super-important for that whole AI data security. “On the back of that, my overriding sentiment is that data security in general is going to have a big resurgence. I think back ten years-plus and it was all about data. We’ve all gone Security Service Edge mad, and now everyone is harping on about AI, but data is going to have a new dawn. We need to find it and secure it.” IMHO data security will have a resurgence because of two factors. The obvious being the current shift of data enabling and enhancing business drivers. The other is data security took a back seat because of how of a pain it was. It doesn't have to be that way now. Link to article here: https://lnkd.in/eVu8HtxM

In today's dynamic digital world, organizations need to be steadfast and continuously evaluate and refine their strategies to adopt the right fit of technologies to remain competitive. Our recent engagement underscored the significance of this pursuit. We dug deep and discussed extensively: 👉The potential of machine learning algorithms and the pivotal role they play in powering use cases that redefine cybersecurity norms. 👉The exploration of Threat Hunting through custom ML models, leveraging unique data sets to proactively identify and mitigate cyber threats. 👉The strategic implementation of Artificial Intelligence Mesh Architecture, a testament to the evolving digital ecosystem that seamlessly integrates legacy systems with cutting-edge digital solutions. This collaboration not only reaffirmed the importance of staying ahead in the digital transformation race but also showcased the tangible benefits of investing in innovative technologies. As we navigate the complexities of digital transformation, partnerships illuminate the path forward, bridging the gap between traditional systems and the digital future. Getting it right can deliver efficient savings and improve service to users. Rinesh Nalinakshan Mehfooz Khan Pathan Andrew George Prashanth Ravichandran #DigitalTransformation #Cybersecurity #MachineLearning #AI #ML #NDR