Enhancing Security Measures

Real-time face swapping with deep-fakes is now free, open source and works with any lighting. Meet Deep Live Cam: While not perfectly seamless (bodyweight mismatches etc), what matters: - It adapts to any lighting condition in real-time - Works with just a single reference photo - Zero latency performance - Free and available to anyone The frontier of "best-in-class" KYC keeps moving. --- The liveness check has been the gold standard in remote KYC for years. "Let me see you live on camera" was considered definitive proof. That assurance is eroding rapidly. --- Forward-thinking risk teams have built verification systems that don't rely on visual confirmation alone: 1. Device context becomes critical   • Is this a known, trusted device or a fresh profile?   • Has the device been modified or compromised?   • Does device history match typical user patterns? 2. Physical interaction patterns matter more   • How devices are held creates unique signatures   • Typing rhythm and pressure are difficult to simulate   • Natural user movements build behavioral baselines 3. Connection infrastructure tells stories   • VPN and proxy usage signals potential concealment   • Geographic consistency builds confidence   • Network behavior creates reliable fingerprints As a pattern: More data, more context around the person behind the screen, any digital breadcrumb can be useful. --- Upgrading KYC processes was historically slow, but that's no longer an option. The forward-learning security teams are building layered approaches now, before the gap closes completely. What's your non-visual fraud prevention strategy? Comment "beyond visual" if you're interested in how leading fintechs are adapting.

“Mapping Cybersecurity Threats to Defenses: A Strategic Approach to Risk Mitigation” Most of the time we talk about reducing risk by implementing controls, but we don’t talk about if the implemented controls will reduce the Probability or Impact of the Risk. The below matrix helps organizations build a robust, prioritized, and strategic cybersecurity posture while ensuring risks are managed comprehensively by implementing controls that reduces the probability while minimising the impact. Key Takeaways from the Matrix 1. Multi-layered Security: Many controls address multiple attack types, emphasizing the importance of defense in depth. 2. Balance Between Probability and Impact: Controls like patch management and EDR reduce both the likelihood of attacks (probability) and the harm they can cause (impact). 3. Tailored Controls: Some attacks (e.g., DDoS) require specific solutions like DDoS protection, while broader threats (e.g., phishing) are countered by multiple layers like email security, IAM, and training. 4. Holistic Approach: Combining technical measures (e.g., WAF) with process controls (e.g., training, third-party risk management) creates a comprehensive security posture. This matrix can be a powerful tool for understanding how individual security controls align with specific threats, helping organizations prioritize investments and optimize their cybersecurity strategy. Cyber Security News ®The Cyber Security Hub™

𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗮𝗿𝗲 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 𝗳𝗮𝘀𝘁 — 𝗕𝘂𝘁 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆, 𝘁𝗵𝗲𝘆’𝗿𝗲 𝗮 𝗠𝗔𝗦𝗦𝗜𝗩𝗘 𝗿𝗶𝘀𝗸! There’s a lot of buzz about how soon we’ll have millions or even billions of AI agents on the internet, reshaping businesses. If this becomes reality, a holistic security approach will become absolutely crucial. Below you can find an insightful breakdown from Accenture's Tech Vision 2025 on security considerations and best practices: This model highlights how enterprises must secure AI agents at every stage — from model development to human-agent interactions — ensuring resilience, governance and compliance. Let's break it down: 𝗦𝗲𝗰𝘂𝗿𝗶𝗻𝗴 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝘀 𝗳𝗼𝗰𝘂𝘀 𝗼𝗻 𝗳𝗼𝘂𝗿 𝗸𝗲𝘆 𝗮𝗿𝗲𝗮𝘀: - Secured Identity & Access Management - Secured Workflow   - Secured AI Runtime   - Human in the Loop 𝗧𝗼𝗽 5 𝗯𝗲𝘀𝘁 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 𝗳𝗼𝗿 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆: 1. Zero Trust Security Model – Assume no implicit trust and verify every request as if it originates from an open network. This includes identity, device, and contextual verification.  2. Context-Aware Access – Dynamically adjust permissions based on real-time factors like location, device status and user behavior, reducing the attack surface.  3. Ephemeral Access – Use just-in-time permissions so AI agents only have access for the duration of their tasks, minimizing unauthorized access.  4. Lifecycle Management – Oversee the full lifecycle of AI agents: creation, modification, and de-provisioning, while continuously updating access controls.  5. Credential Management – Automate the rotation of credentials, keys, and certificates to reduce risk and eliminate human error.  You can find the full study here: https://lnkd.in/dP4RevKw

CPTED is about changing the built environment. Once upon a time, we had a corporate client who owned a soccer field. While the field served as a community resource, it became a target for gang activity and vandalism. Despite the presence of security personnel, police, and contracted patrols, the issues persisted. Vandals, in particular, were using ATVs that tore up their fields. To address this, we implemented an innovative solution by automating the site’s industrial sprinkler system. We installed pyramid motion sensors on existing light masts and connected them to a timed relay that activated the sprinkler (zones) on motion. If you’ve ever seen an industrial sprinkler in action, it’s essentially a fire hose on a rotating base. The result? The vandalism stopped within a week. As for the gang activity, we tackled that by constructing a storage facility at the field’s entrance for the Sheriff's Department, which lacked adequate space for their Harley-Davidsons in their newly built Police station ( A fact we determined during reachout with them). We prominently painted the Sheriff's emblem across the garage door. This not only provided necessary space for law enforcement but also created activity support—drawing a regular police presence to the area with no cost. CPTED in this case was very cost effective, free police patrols, and a two one-time capital expnditures.. This video illustrates how modifying the built environment can influence behavior. It serves as a real-world example ahead of a CPTED article I am currently writing.Campus Safety and Security IAPSC - International Association of Professional Security Consultants

I built an MCP server for National Institute of Standards and Technology (NIST) CSF guidance. I thought I did everything right. Not so much. My server (Github -> rocklambros -> nist-csf-2-mcp-server) assists teams in implementing NIST CSF 2.0 controls. Given that I want to practice what I preach, I paid particular attention to "secure-by-design" principles. Then I ran it through Enkrypt AI's MCP Scanner. Here is what it found:  • Resource exhaustion vulnerabilities  • Potential prompt injection attack vectors  • One critical server configuration issue The resource exhaustion? I hadn't considered adversarial inputs at scale. The prompt injection issue was due to insufficient validation of LLM outputs. The config issue was a simple security setting I overlooked. MCP servers are different. They sit between AI agents and your systems. The attack surface is nuanced. 𝗧𝗟𝗗𝗥: 1. MCP-specific vulnerabilities are real 2. Manual and SAST reviews aren't enough 3. External scans catch what you miss The report was detailed and actionable. I'm already fixing things. If you're building MCP servers, run a scan before you ship. Enkrypt AI is offering free scans. Saved me from shipping vulnerable code. Link to the scan is in comments 👇 Sahil Agarwal Prashanth Harshangi Merritt Baer Tanay Baswa #MCP #OpenSource #AISecurity #NIST #CyberSecurity

🛡️ Strengthening Your Cybersecurity: A Practical Guide for Small Businesses 🛡️ Cybersecurity might seem daunting, but safeguarding your business doesn't require breaking the bank. Here are five robust yet budget-friendly strategies to enhance your protection: 1. Invest in Employee Education: It's crucial to cultivate cyber awareness within your team. Free online resources can empower your staff to recognize threats and safeguard your operations. This proactive approach is your first line of defense. 2. Conduct Regular Risk Assessments: Utilize third-party services to perform vulnerability checks and penetration testing. Remember, if you can't measure it, you can't manage it! 3. Minimize Entry Points: Implement Single Sign-On (SSO) combined with Multi-Factor Authentication (MFA) to tighten access controls. Fewer gateways mean fewer opportunities for breaches. 4. Embrace a Solid Backup Strategy: Remember '3-2-1' (three copies of data, two different storage types, one off-site location) to ensure you can recover quickly from data loss scenarios, including ransomware attacks. 5. Stay Prompt with Updates: When updates are available, apply them immediately. These patches are essential for closing vulnerabilities that could be exploited by cyber threats. Cybersecurity is a wise investment that supports your business’s longevity and reputation. Start enhancing your defenses today! #Cybersecurity #SmallBusiness #DataProtection #TechTips

🗞️ Needed report By CyberArk on a burning issue : identity security. A decisive element that will determine our ability to restore digital trust. 🔹 « Identity is now the primary attack surface. » Defenders must secure every identity — human and machine 🔹 with dynamic privilege controls, automation, and AI-enhanced monitoring 🔹and prepare now for LLM abuse and quantum disruption. Machine identities are the fastest-growing attack surface 🔹Growth outpaces human identities 45:1. 🔹Nearly half of machine identities access sensitive data, yet 2/3of organizations don’t treat them as privileged. Quantum readiness is urgent 🔹Quantum computing will break today’s cryptography (RSA, TLS, identity tokens). 🔹Transition planning to quantum-safe algorithms must start now, even before standards are finalized. Large Language Models include prompt injection, data leakage, and misuse of AI agents. So organizations must treat them as a new class of machine identity requiring monitoring, access controls, and secrets management. 🧰 What can we do? ⚒️ 1/ Implement Zero Standing Privileges (ZSP) • Remove always-on entitlements; grant access dynamically and just-in-time. • Minimize lateral movement by revoking privileges once tasks are complete 👥2/ Secure the full spectrum of identities • Differentiate controls for workforce, IT, developers, and machines. • Prioritize machine identities: vault credentials, rotate secrets, and eliminate hard-coded keys. 🛡️ 3/ Embed intelligent privilege controls • Apply session protection, isolation, and monitoring to high-risk access. • Enforce least privilege on endpoints; block or sandbox unknown apps. • Deploy Identity Threat Detection & Response (ITDR) for continuous monitoring. ♻️ 4/ Automate identity lifecycle management • Use orchestration to onboard, provision, rotate, and deprovision identities at scale. • Relieve staff from manual tasks, counter skill shortages, and improve compliance readiness. 5/ Align security with business and regulatory drivers • Build an “identity fabric” across IAM, PAM, cloud, SaaS, and compliance. • Tie metrics (KPIs, ROI, cyber insurance conditions) to board-level priorities. 6/ Prepare for next-generation threats • Establish AI/LLM security policies: control access, monitor usage, audit logs. • Begin phased adoption of post-quantum cryptography to protect long-lived sensitive data. Enjoy the read

Industrial Cyber Security—Layer by Layer OT environments can't rely on repackaged IT security checklists. Frameworks like IEC 62443 and NIST SP 800-82 demand a defence-in-depth strategy tailored to physical processes, real-time constraints, and integrated safety systems. This layered defence model visualizes the approach, moving from the physical perimeter to the core data: ✏️ Perimeter Security: Starts with physical controls like site fencing and progresses to network gateways that enforce one-way data flow. ✏️ Network Security: Involves segmenting the network (per the Purdue model), using industrial firewalls, and securing all remote access points. ✏️ Endpoint Security: Focuses on locking down devices with application whitelisting, ensuring secure boot processes, and using anomaly detection to spot unusual behavior. ✏️ Application Security: Secures the software layer through code-signing for logic downloads and hardening engineering workstations. ✏️ Data Security: Protects information itself with encrypted backups, PKI certificates for authenticity, and integrity monitoring. This entire strategy rests on two pillars: 1. Prevention: Proactive measures like architecture reviews, role-based access control (RBAC), and disciplined patch management. 2. Monitoring & Response: OT-aware security operations, practiced incident response playbooks, and the ability to perform forensics on industrial controllers. Why it matters: The data is clear. Over 80% of recent OT incidents exploited weak segmentation or unmanaged assets. Conversely, plants with layered controls have cut their mean-time-to-detect threats by 60% (Dragos 2024). Which of these security rings do you see most neglected in real-world plants? #OTSecurity #IEC62443 #NIST80082 #DefenseInDepth #IndustrialCyber #CriticalInfrastructure #CyberResilience

How to Approach Mobile Penetration Testing: A Real-World Guide In today’s digital age, mobile applications are a cornerstone of many businesses, but they are also a prime target for attackers. Mobile penetration testing ensures these apps are secure, reliable, and resilient to cyber threats. Here’s how to approach it step-by-step: 1️⃣ Pre-engagement Phase • Define the scope: Android, iOS, or both? Native, web, or hybrid apps? • Set up testing tools: Static analysis (e.g., MobSF), dynamic analysis (e.g., Frida, Burp Suite), and reverse engineering (e.g., JADX). 2️⃣ Reconnaissance • Analyze the app store listing for permissions, version history, and potential clues. • Decompile the app to uncover hardcoded secrets, APIs, and other vulnerabilities. 3️⃣ Static Analysis • Review the codebase for: • Hardcoded credentials. • Insecure storage. • Weak cryptographic practices. • Audit permissions and configuration files for security misconfigurations. 4️⃣ Dynamic Analysis • Test the app on an emulator or physical device. • Intercept and analyze network traffic for sensitive data leaks or weak encryption. • Evaluate authentication and session management mechanisms. 5️⃣ Backend Testing • Assess APIs for vulnerabilities like insecure authorization, IDOR, and data exposure. • Check server configurations (e.g., SSL/TLS setup). 6️⃣ Device Testing • Check local storage for sensitive data. • Review secure storage mechanisms like Keychain/Keystore. • Test for clipboard exposure and file tampering vulnerabilities. 7️⃣ Exploitation • Bypass root/jailbreak detection. • Exploit vulnerabilities for privilege escalation or tampering. 8️⃣ Reporting • Document all findings with clear descriptions, proof-of-concept (PoC), and remediation steps. • Provide actionable recommendations to secure the app. 🛠 Key Tools: • Static Analysis: MobSF, Apktool, JADX. • Dynamic Testing: Frida, Burp Suite, mitmproxy. • Network Analysis: Wireshark, Netcat. What I learned this weekend: This weekend, I deep-dived into the fascinating world of mobile penetration testing. Understanding the real-world processes and tools involved has been eye-opening and invaluable for my skillset. What’s next? I’ll be posting a complete demo of me performing a full mobile penetration test on a demo app as a personal project! I’d love for you to watch, provide feedback, and share your thoughts on what I did right and what could be improved. Let’s learn and grow together! 💡 What’s your go-to tool or tip for mobile app security? Let’s discuss in the comments! #CyberSecurity #MobileSecurity #PenetrationTesting #AppSec #InfoSec #LinkedInNetworking

The rapid shift to agentic AI is redefining enterprise operations, but it also introduces a new, critical attack surface: the Model Context Protocol (MCP). MCP enables LLMs to orchestrate complex tasks across vital systems, but this flexibility exposes organizations to sophisticated vulnerabilities like prompt injection, tool shadowing, and rugpull attacks.  Fragmented, reactive tools are inadequate to address these threats. This new threat landscape calls for a comprehensive platform to secure enterprise AI transformation.  Learn more about MCP vulnerabilities, precise attack vectors, and the zero trust architecture and runtime controls necessary to defend your AI workflows. https://bit.ly/437WQAB