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🚨 Attention CISOs! 🚨 AI Training Essential to Combat Cyber Threats! The cybersecurity landscape is evolving fast, and AI holds the key to staying ahead of sophisticated threats. But adopting AI requires a strategic approach. Here's the deal: - CISOs must prioritize due diligence, quality control, and risk management when integrating AI. - Updating playbooks to accommodate AI is crucial, addressing legacy systems and the need for human oversight. Investing in purpose-built AI solutions is the way to go for enhanced threat detection and response in SOCs. Beware of hastily integrated AI in legacy products. Mitigation steps: - Evolve strategies to meet the challenges of AI adoption and cyber threats. - Focus on quality, risk management, and employee training. - Prefer AI solutions built from scratch for reliability. Stay ahead of the curve with AI training for your team! Read more: https://lnkd.in/eEn5FDQY #Cybersecurity #AI #CISO #ThreatDetection #StayAlert

The Secret to Effective Security Operations? Consolidation and AI 🔒 In the ever-evolving world of cybersecurity, there's one strategy that stands out above the rest: Consolidation. Why? Well, not only does it help organizations reduce costs and simplify deployment and management, but it's also crucial for enabling AI-driven security operations. Let me explain. Consolidation allows for the seamless generation and processing of data from a single vendor – and in the realm of AI-driven security, this is an absolute game-changer. By consolidating their security products, organizations gain the power to swiftly detect and halt attacks. Think about it: having all your data in one place means AI algorithms can work their magic, analyzing vast amounts of information and spotting threats that might have otherwise gone unnoticed. But what about those who haven't embraced consolidation? Well, they'll face an uphill battle. Without the streamlined data processing that consolidation affords, they'll be left struggling to keep up with the rapid pace of cyber threats. So, if you're serious about staying one step ahead of the bad actors, it's time to consider consolidation. Not only will it save you time and money, but it will also empower your organization to leverage the full potential of AI-driven security operations. Together, consolidation and AI form a powerful duo that can revolutionize the way we protect ourselves from cyber threats. P.S. Check out the link in comments to learn more about consolidation and AI in cybersecurity. #Cybersecurity #AI #Consolidation #SecurityOperations -- If this was helpful, please consider: ✔ Liking, Reposting or Sharing ✔ Following Empower Solutions for more #cybersecurityawareness

In a recent experiment conducted by cybersecurity firm Home Security Heroes, it was discovered that AI tools were able to crack a significant percentage of common passwords in a remarkably short time. As AI technology continues to advance, it's imperative for organizations to understand the risks and implement robust strategies to counter these evolving threats. Read the full article to learn more about how cybercriminals are leveraging AI and what businesses can do to protect themselves: https://lnkd.in/gURUMnq9

GenAI and Machine Learning become more effective as they are ”trained” on data sets. What if a bad actor hacks a public or private data set? How would you know? Can the bad actor insert misinformation and inaccurate data points that compromise your Gen AI results? The answer is yes. This is a new cybersecurity risk that should be added to your risk landscape. This compromising of data sets and causing algorithms to return compromised results is called “Data Poisoning.” This can be an insider threat to your organization or a criminal group external to your trusted data set. Why would a bad actor perpetrate a data poisoning hack? Experts say such an attack could introduce other threats such degrading spam filters to launch a phishing or ransomware incident. The risk assessment and migration for this new threat are verification and professional skepticism in analysis results and source data. The dialog with the cybersecurity team is critical for thinking through how your employees access Gen AI and Machine Learning pressure test the control environment for alerting on data poisoning. #RiskManagement #AI #CyberSecurity #Leaders Longview Leader Corporation Check out TechTarget’s article, March 13, 2024 “How data poisoning attacks work”

Can AI improve enterprise cybersecurity? After AI has dominated numerous industries and fields, most organisations now depend on it to improve their cybersecurity, along with other methods such as virus protection, data loss prevention, fraud detection, and risk management. AI can perform a variety of occupations in cybersecurity, such as: - Detect actual attacks more precisely. - Identify and report any questionable emails or communications. - Contribute to identifying potential enterprise vulnerabilities before fraudsters exploit them. - Analyse enormous amounts of data quickly so that appropriate steps can be made to quickly contain the threat. - Predictive analysis of future security trends and vulnerabilities using current data and past patterns. - Examine user behavior for odd or unusual behavior that could suggest a hacked account or an insider threat. - Automated responses to specific types of security incidents, enabling faster and more efficient threat responses, decreasing the pressure on employees, and attaining faster response times. AI is a technological breakthrough in cybersecurity. It will provide institutions and businesses with greater security over their information, therefore don’t hesitate to implement it inside your company to keep your data safe. Follow us for more details and information on using AI in cybersecurity to achieve extra safety for your business. #WellGrowAcademy #WellGrow #TrainingForSuccess #ExperientialLearning #InteractiveWorkshops  #AI #Cyber_Security 

BLOCKPHISH 🛡From reading articles around the prevalence of AI-driven phishing attacks in the UK and my recent attendance at the @National Cyber Security Show, it has become clear that AI isn’t merely a passing trend—it's becoming intrinsic to business operations prompting us to consider two vital paths of protection: safeguarding our own usage and defending against AI-driven threats. The first aspect involves leveraging regulations and frameworks to build a robust cybersecurity culture. By raising awareness and promoting proactive measures, we empower businesses and individuals to navigate the potential impacts of AI adoption.🚀 🔍 AI Decision Point: Striking a Balance Between Risk and Reward When adopting AI, finding an equilibrium between exploiting its potential and mitigating risks is paramount. Key considerations include: • Visibility into AI App Usage: Gain insights into employee utilisation to detect vulnerabilities. • Granular Access Controls: Restrict access to authorised personnel for enhanced security. • Data Security Measures: Assess AI application security features to prevent breaches. • Data Loss Prevention (DLP): Implement robust solutions to safeguard sensitive data. • Comprehensive Logging: Maintain detailed logs for auditing and forensic analysis. 🔍 Advanced Segmentation and Micro segmentation: In addition to safeguarding data integrity, BLOCKPHISH’s security solutions encompass advanced segmentation and micro segmentation services. By segmenting networks and data environments into smaller, more manageable units, we enhance security posture and reduce the attack surface. With tailored micro segmentation strategies, we provide granular control over access permissions, ensuring that sensitive information remains protected against insider threats and external attacks. As AI continues to integrate into business processes, prioritising security is non-negotiable. By proactively addressing these challenges and implementing robust security measures, we can harness the transformative power of AI while safeguarding our enterprises against emerging threats. Please contact me if you'd like to find out more about how @BLOCKPHISH can support your business! #AI #EnterpriseSecurity #DataProtection #Cybersecurity 

💡 How to Build Your Autonomous SOC Strategy Security leaders are in a tricky position trying to discern how much new AI-driven cybersecurity tools could actually benefit a security operations center (SOC). 👤 The hype about generative AI is still everywhere, but security teams have to live in reality. They face constantly incoming alerts from endpoint security platforms, SIEM tools, and phishing emails reported by internal users. Security teams also face an acute talent shortage. 👉 In this guide, we'll lay out practical steps organisations can take to automate more of their processes and build an autonomous SOC strategy. This should address the acute talent shortage in security teams, by employing artificial intelligence and machine learning with a variety of techniques, these systems simulate the decision-making and investigative processes of human analysts. 1️⃣ First, we'll define objectives for an autonomous SOC strategy and then consider key processes that could be automated. 2️⃣ Next, we'll consider different AI and automation products, then finally look at a few examples of how those tools could be used as part of an autonomous SOC strategy. Read more👇 https://buff.ly/4e2lsi3 ------------------------------------ Subscribe to the CyberSecura newsletter and keep up to date with the latest cyber and GDPR news. 📩 https://buff.ly/3PTQwX1 #cybersecurity #itsecurity #dataprotection #dataprivacy #informationsecurity #infosec #SOCstrategy

In the recent McKinsey Global AI Survey, 40% of companies intend to increase their investment in AI due to recent advancements. However, preparing for mainstream adoption remains a challenge, as 53% consider cybersecurity a major risk, and only 38% are actively working to mitigate this risk. To better understand generative AI and take on a positive approach, check out the detailed insights from experts in the survey. Here are some strategies to consider: 1️⃣ Prioritise risk modeling and assess risk with scoring mechanisms. 2️⃣ Implement new reporting and regulatory standards for cyber incidents. 3️⃣ Collaborate with cybersecurity companies to establish next-generation security products. 4️⃣ Build a robust cyber risk team by hiring new or upskilling existing personnel. 5️⃣ Take social, humanitarian, and long-term concerns into account, in addition to addressing technological issues.

Judy Security uses next-Level AI and is the ideal cyber companion providing for a safer digital world! 🌐🔒✨ 1. Advanced Threat Detection 🕵️♂️: * Imagine Judy as a super-sleuth in the digital world. She’s like Sherlock Holmes, but for cybersecurity! * Judy hunts down sneaky threats that try to infiltrate your systems. She’s got a magnifying glass for analyzing suspicious activity. * When she finds something fishy, she alerts you with actionable intelligence. It’s like having your own cyber detective on speed dial! 2. Real-Time Security Insights 👀: * Judy’s crystal ball (okay, it’s an AI algorithm) helps you see into the future—well, sort of. * She keeps an eye on all the dangers and risks lurking around your business. Think of her as your trusty security oracle. * When trouble brews, Judy whispers in your ear (figuratively, of course) about what’s going down. It’s like having a friendly ghost who warns you about digital goblins! 3. Expedite Security Workflows ⚡: * Judy’s secret weapon? Automation! She’s got a magic wand (okay, it’s a keyboard) that zaps away repetitive security tasks. * No more manual investigations—Judy waves her wand, and voilà! Threat detection happens without you lifting a finger. * It’s like having a cyber fairy godmother who turns mundane tasks into code-free magic spells! 4. Proactive Risk Assessment 🚀: * Judy’s not just reactive; she’s proactive! She’s like a fortune teller who predicts attacks before they happen. * Armed with current threat intelligence and AI, Judy assesses risks faster than you can say “cybersecurity.” * She’s your digital bodyguard, shielding you from attacks in real-time. It’s like having a superhero sidekick who’s always one step ahead! Calling all #SMBs and #SMEs, contact me today to find out HOW! #smallbusinessgrowth, #partnerships, #AI

  85% of security leaders say that recent cyber attacks are powered by AI   Every company deserves AI of their own to fight attacks more effectively.   Veriato’s IRM solution is natively built with AI to find threats faster and analyze risk to help companies prioritize what matters and reduce the time it takes to contain it.   How does our AI help you get ahead of risks and threats you ask?:   Identifying complex behavior patterns: we leverage comprehensive language and sentiment analysis in addition to logon events, document activity, and email behavior, we're equipped to spot even the most intricate threats. Predictive and preventative risk detection to reduce insider threats: We have automatic PII identification, powerful anomaly detection, and precise risk scoring allowing us to stay one step ahead. Risk prioritization: we focus on patterns and anomalies that truly matter, and alleviate the burden on IT teams and executives helping orgs to respond faster and more efficiently.