Cybersecurity Tools and Testing

🚨 NSA Releases Guidance on Advancing Zero Trust Maturity in the Visibility and Analytics Pillar 🚨 The NSA has published a critical Cybersecurity Information Sheet (CSI) focusing on the visibility and analytics aspect of Zero Trust models. 🤔As organizations strive to secure digital assets, understanding and implementing these capabilities are vital. Sean's note: From my previous perch at CISA and as a co-author of CISA's Zero Trust Maturity Model, Visibility is *KEY*. Visibility and analytics are the "fuel" that makes Zero Trust go. Without telemetry (as in types of proof/evidence) and the proper analysis and use of these signals, an organization will struggle with Zero Trust. Here are six key takeaways from the NSA's guidance: 🔍 Comprehensive Logging: Capture relevant activity logs across all network devices, applications, and user interactions to establish a baseline and detect anomalies. 🔗 Centralized Security Information and Event Management (SIEM): Aggregate and analyze security data to generate actionable alerts and improve threat detection. 📊 Security and Risk Analytics: Develop analytics to assess risk and leverage information about vulnerabilities and critical assets for dynamic risk scoring. 🔑 User and Entity Behavior Analytics (UEBA): Utilize AI and ML to analyze network activities and identify abnormal behaviors indicative of threats. 🛡️ Threat Intelligence Integration: Enrich awareness with threat intelligence, prioritizing security events based on severity and relevance. ⚙️ Automated Dynamic Policies: Implement AI/ML-driven policies that adapt in real-time based on security posture and risk assessments. By enhancing visibility and analytics, organizations can proactively mitigate risks and swiftly respond to emerging cyber threats. Read NSA's #ZeroTrust guidance here: https://lnkd.in/eqV2D7eb #technology #cybersecurity #cloudcomputing #informationsecurity #softwareengineering #innovation #artificialintelligence #ZeroTrust

Lets Learn #Quantum – Post #16: Post-Quantum Cryptography (PQC) The Invisible Safe: Why Hackers Are Stealing Data They Can't Read Yet The biggest short-term impact of quantum computing isn't what it can create. It is what it can destroy. Right now, our digital world relies on encryption algorithms like RSA to protect banking, emails, and cloud data. Standard supercomputers would take thousands of years to crack them. But quantum computers change the rules. Running Shor’s Algorithm, a quantum computer could break today's encryption in hours. The Threat Happening Right Now Why care today if full-scale quantum computers are still year away? Because cybercriminals are actively executing a strategy known as Harvest Now, Decrypt Later (HNDL). Imagine a thief stealing a locked titanium safe. They cannot open it today, so they hide it in a basement and wait. Years from now, a new tool is invented that pops that safe open instantly. That is HNDL. Bad actors are intercepting and archiving sensitive enterprise data today, waiting for the day a quantum computer can unlock it. If your data needs to remain secret for the next decade, it is already at risk. Enter PQC: Upgrading the Locks Post-Quantum Cryptography (PQC) is the defense. It is a new generation of math shields designed to resist attacks from both conventional and quantum computers. The breakthrough? PQC runs seamlessly on your current servers, smartphones, and cloud platforms. Think of it as swapping out a traditional door lock for a multi-dimensional biometric scanner. The house stays the same; only the lock changes. Instead of traditional math, PQC relies on Lattice-Based Cryptography. Think of it like a maze with thousands of overlapping dimensions instead of two. Even a quantum computer gets completely lost trying to find the exit. The Strategic Reality You cannot swap out the security architecture of a global enterprise overnight. Migrating infrastructure takes years, which is why forward-thinking leaders are already auditing networks and testing PQC algorithms today using a hybrid approach. The quantum threat is not a future IT issue. It is a current strategic risk. The question for leadership is no longer: "When will a quantum computer be built?" The real question is: "Will our data still be secure when it arrives?" #QuantumTechnology #PostQuantumCryptography #PQC #QuantumSecurity #CyberSecurity #QuantumComputing #DigitalTransformation #DataProtection #TechnologyLeadership Co-authored with Atul Tripathi Sundar Ram, Sachin Arora, Himanshu Ghawri, Azizur Rahman, Shivendra singh, Prasun Nandy, Jaydeep Sarkar, Joydeep Roy, Arihant Garg, Amit Kumar, Hetal Shah, Arun Rangaraju, Sayantan Chatterjee, Rajesh Kumar Ojha, Dr. Raghav Manohar Narsalay, Praveen Sasidharan, Sundareshwar K (Sundar), Manu Dwivedi, Venkat Nippani, Himadri Ganguly, Ritesh Jain, Abhijit Chakraborty, Sumit Srivastav, Anit Shanker #soyoucan

At PwC, we've learned that the biggest barrier to scaling enterprise AI isn't model capability: it's trust. Here's how we think about that problem. Every new technology faces the same deadlock: you don't use it because you don't trust it, and you don't trust it because you don't use it. The way out is usually a trust proxy, a visible marker that tells people it's safe to change their behavior. The SSL padlock is the classic example. Ecommerce was technically possible in the 1990s, but adoption stalled because typing a credit card into a browser felt reckless. The padlock didn't create security, the encryption was already there. It made security visible. Enterprise AI faces the same issue. The models work. Real solutions exist. But capability is compounding faster than confidence. You see it in cautious adoption: professionals double-checking outputs the system got right. Not because the models aren't good enough, but because there's no structured way to show they've been rigorously evaluated by people who know what good looks like. These aren't capability problems. They're trust infrastructure problems. That's what we built Evaluation Navigator and the Human Alignment Center to address. 📊 Evaluation Navigator gives AI teams a consistent, repeatable way to evaluate solutions across the development lifecycle, with shared guidance and standardized reporting. By embedding evaluation directly into developer workflows through an SDK, trust markers are built into the solution as it's constructed, not stapled on before deployment. 🧐 The Human Alignment Center adds structured expert review at scale. Automated metrics can assess technical correctness, but in professional services the real question is whether the output reflects experienced professional judgment. The Human Alignment Center translates that judgment into dashboards and audit trails that governance leaders can actually act on. The padlock made invisible security visible. Evaluation infrastructure does the same for AI. Adoption is a trailing indicator of trust, so as evaluation becomes visible and accessible, adoption follows.

Most freshers entering Cyber Security make one common mistake: They try to learn “everything” instead of learning the tools actually used in real SOC environments. So I created this simple roadmap of the most important tools every: • Fresher • SOC Analyst aspirant • Career switcher into SOC should learn to become more job-ready for real-time Security Operations Center roles. The focus should not only be on certifications. The real goal is understanding how analysts actually: ✔ Investigate alerts ✔ Analyze logs ✔ Handle incidents ✔ Detect threats ✔ Respond to attacks Some of the most important categories include: 🔹 SIEM Tools 🔹 Endpoint Security / EDR 🔹 Identity & Access Management 🔹 Threat Intelligence 🔹 Networking & Monitoring 🔹 SOAR & Automation 🔹 Cloud Security 🔹 Linux & Windows Fundamentals Tools like: • Splunk • Microsoft Sentinel • Microsoft Defender for Endpoint • Wireshark • Microsoft Entra ID • CrowdStrike Falcon are highly valuable in today’s SOC ecosystem. If you are starting your journey: Start with fundamentals first. Then move into SIEM + EDR + Incident Investigation. That combination alone can make you stand out for many SOC L1 opportunities. Consistency > learning too many tools at once. Which SOC tool are you currently learning? 👇 #CyberSecurity #SOCAnalyst #SIEM #EDR #ThreatHunting #BlueTeam #CyberSecurityJobs #Splunk #MicrosoftSentinel #Defender #SOC #CareerSwitch #Freshers #InformationSecurity #CyberDefense #Learning #TechCareer

MSPs and IT teams hear about new risks through vendors every day. That’s part of the ecosystem. It’s useful. Those products solve real problems. But when product exposure becomes the starting point for security decisions, things drift. A new tool gets introduced. A new threat gets attention. Another control gets layered in. Do that enough times and you end up with a stack that’s expensive, complex, and still misaligned to the business. I’ve seen environments with a long list of security products, but no clear connection to how the company actually operates or where the real risk sits. What actually works: ➫ Start with the business. How people work. What systems they rely on. Where access actually happens. ➫Then focus on fundamentals: Identity. Device trust. Access control. Data exposure. Recovery. Accountability. From there, tools have context. They support a plan instead of becoming the plan. Vendors should sharpen your perspective. They shouldn’t define your strategy.

Happy to see my article has been published at ABP Live on "Beyond AI: Why Quantum-Safe #Cryptography Is a Business Imperative in 2025" The alarming rise in cyberattacks—both in India and globally—makes one thing painfully clear: traditional encryption is no longer enough. In India alone, businesses stand to lose ₹20,000 crore this year, while global cybercrime costs are projected to reach $13.82 trillion by 2028. Even worse? The impending quantum era threatens to render our current cryptographic systems obsolete. Technologies like RSA, which power everything from internal communications to critical external collaborations, are vulnerable to quantum-enabled decryption. So what must businesses do right now? Embrace Quantum-Safe Messaging: Opt for end-to-end encrypted platforms designed to withstand quantum attacks, especially for communications with clients, partners, and vendors. Follow Standards and Best Practices: NIST has already rolled out the first wave of Post-Quantum Cryptography (PQC) standards—like ML-KEM for encryption and ML-DSA for digital signatures. Think Strategically, Not Just Tactically: Transitioning to PQC is more than a technical upgrade—it’s a strategic initiative. Build governance, crypto-agility, and roadmap planning into your cybersecurity strategy. What the world is doing: - Europe aims to migrate to quantum-safe encryption by 2030, starting with risk assessments and awareness campaigns in 2026 - The UK’s NCSC is urging organizations to begin full migration planning by 2028 and complete it by 2035 - Setting an example in the private sector, it has integrated post-quantum encryption into its WireGuard and Lightway protocols using NIST’s ML-KEM algorithm Reports from India’s BFSI sector show a worrying lack of readiness—yet almost 58% of CISOs recognize the threat within the next three years Key takeaway: Quantum-safe cryptography isn’t a futuristic concept—it’s a present-day necessity. The threat of "store now, decrypt later" attacks means the data we transmit today may be vulnerable tomorrow. Waiting isn’t an option Whether you’re in BFSI, government, telecoms, or healthcare, the time to act is now. Let’s lead the shift toward a secure quantum future. #QuantumSafe #Cybersecurity #PostQuantumCryptography #CryptoAgility #DigitalTrust #QuantumReady #QNulabs QNu Labs

𝗦𝘁𝗼𝗽 𝘁𝗼𝗼𝗹 𝘀𝗽𝗿𝗮𝘄𝗹. 𝗦𝘁𝗮𝗿𝘁 𝘄𝗶𝘁𝗵 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀. 🔧🛡️ This one-page map groups popular SECURITY TOOLS BY WHAT THEY HELP YOU ACHIEVE—from recon to DFIR and OT/ICS hardening. Pair it with the image and keep it handy for labs, audits, and onboarding. HOW THIS HELPS • Information Gathering — size your attack surface (live hosts, services, DNS). • Vulnerability Scanning — baseline exposure and prioritize fixes. • Web Assessment — validate OWASP risks before attackers do. • Exploitation (Validation) — safely reproduce risk in a lab to justify changes. • Password Auditing — measure credential hygiene, spot weak policies. • Wireless Testing — check segmentation, rogue APs, and weak crypto. • Forensics/Monitoring — triage incidents, scope impact, preserve evidence. • OT/ICS Specific — passively map industrial networks/protocols to reduce blind spots. USE IT RIGHT ✅ 1. Start with the objective (reduce risk). 2. Pick the tool category. 3. Capture evidence and map to MITRE ATT&CK / IEC 62443. 4. Remediate, then retest. 5. Always with written authorization. ♻️ Reshare to Help Others Learn. 🔔 Follow and press bell to get notified of my posts. 🤝 Subscribe OT Security Digest Newsletter Subscribe on LinkedIn https://lnkd.in/gWSn-TzS #Cybersecurity #OTSecurity #ICS #PenTesting #DFIR #ThreatHunting #AppSec

5 essential SOC (Security Operations Center) tools every SOC Analyst should be familiar with: 1. Wireshark Purpose: Network protocol analyzer Use: Captures and analyzes network traffic in real time Why it matters: Crucial for detecting suspicious activity and troubleshooting network issues. 2. Autopsy Purpose: Digital forensics platform Use: Analyzes and investigates digital media Why it matters: Helps in incident response and understanding how a breach occurred. 3. Nessus Purpose: Vulnerability scanner Use: Identifies security weaknesses in systems and networks Why it matters: Essential for proactive security and compliance. 4. Burp Suite Purpose: Web application security testing Use: Identifies and exploits vulnerabilities in web apps Why it matters: Protects applications from attacks like XSS, SQLi, etc. 5. Maltego Purpose: OSINT (Open Source Intelligence) gathering Use: Analyzes relationships between people, groups, domains, and more Why it matters: Useful for threat intelligence and tracking threat actors.

Apple Deepens Its Post-Quantum Security Strategy With Open-Source Release Apple has taken another significant step toward quantum-resistant cybersecurity by publishing portions of its post-quantum cryptography implementation on GitHub. The move expands the company’s ongoing effort to protect iPhone, Mac, and other Apple platforms against future quantum computing threats that could eventually break many of today’s encryption methods. Apple’s post-quantum journey began publicly with the introduction of the PQ3 protocol for iMessage in iOS 17.4. PQ3 added quantum-resistant protections not only when conversations begin but also throughout ongoing communications as encryption keys are refreshed. The goal is to defend against “harvest now, decrypt later” attacks, where adversaries collect encrypted data today in hopes of decrypting it once sufficiently powerful quantum computers become available. The newly released GitHub repository includes source code from corecrypto, Apple’s foundational cryptographic library used throughout its security ecosystem. Corecrypto supports encryption, digital signatures, hashing, secure random number generation, and numerous security functions across Apple devices and services. By releasing the code, Apple enables researchers and security experts to review, test, and validate its implementations. The repository contains implementations of the NIST-standardized post-quantum algorithms ML-KEM and ML-DSA, which Apple selected as part of its quantum-resistance strategy. It also includes testing frameworks, performance evaluation tools, build targets, and formal verification resources designed to help validate the correctness and security of the cryptographic implementations. The decision to open-source these components reflects a long-standing principle in cryptography: security is strengthened through public scrutiny. Allowing independent experts to examine the code helps identify weaknesses, improve confidence, and accelerate broader industry adoption of quantum-resistant technologies. Key Takeaways: Apple has released portions of its post-quantum cryptography code through GitHub, including implementations of ML-KEM and ML-DSA. The effort builds upon the PQ3 protocol introduced for iMessage and demonstrates Apple’s continued investment in preparing for future quantum computing threats. The open-source release enables independent review, testing, and validation by the global security community. The broader implication is that the transition to post-quantum cryptography is moving from theory to deployment. As quantum computing advances, organizations worldwide are beginning to replace traditional cryptographic systems with quantum-resistant alternatives. Apple’s actions highlight how major technology providers are actively preparing for a future in which information security must withstand both classical and quantum attacks. Keith King https://lnkd.in/gHPvUttw

🔐 You Can’t Defend What You Don’t Understand — Master These Cybersecurity Tools First 💣 These Tools Separate Script Kiddies from Real Defenders Everyone talks about being secure... But real cybersecurity doesn’t happen with just firewalls and antivirus. It happens when you use the right tools — at the right layer — with the right purpose. Whether you're: ✅ Defending a cloud workload ✅ Simulating an attack ✅ Investigating a breach ✅ Testing a web app ✅ Sniffing a network packet These are the tools used by the best in the industry 👇 🛡 Network Security Monitor, scan, and protect your network perimeter. Wireshark – Packet analysis master Nmap – The port scanner of choice SolarWinds – Network performance and visibility 🧪 Application Security Find vulnerabilities before attackers do. Burp Suite – Web vulnerability scanner & proxy OWASP ZAP – Open-source scanning tool Checkmarx – Static code analysis Veracode – Secure SDLC enforcement ☁️ Cloud Security Cloud is powerful — and full of risks. Prisma Cloud – Full-stack cloud protection AWS Security Hub – Centralized AWS security insights Microsoft Defender – Azure-native defense Lacework – Cloud-native threat detection 🚨 Incident Response Speed matters when something goes wrong. TheHive – Open-source IR platform SANS SIFT – Digital forensic workstation MISP – Threat intelligence sharing Xplico – Network forensics toolkit 🔓 Password Cracking (For ethical use only — like red teaming & recovery.) John the Ripper – Unix password cracker Hashcat – GPU-based brute-force Hydra – Login cracker Cain and Abel – Classic, multipurpose tool 📡 Wireless Hacking Test Wi-Fi networks for weaknesses. Aircrack-ng – Wireless packet capture and cracking Kismet – Wi-Fi and Bluetooth sniffing Reaver – WPS brute-force tool WiFi Pineapple – Red team reconnaissance 🔬 Digital Forensics Find out what really happened. Autopsy – Disk image analysis EnCase – Industry-standard forensic tool FTK – In-depth analysis and email recovery Sleuth Kit – Forensics library used by many tools 🛠 Penetration Testing Simulate attacks to find real vulnerabilities. Metasploit – Exploit development & framework Kali Linux – Everything you need, pre-packaged 💡 Industry Insight: Big tech and defense-grade security teams use a mix of these tools across different stages: ✅ Prevention (AppSec, NetSec) ✅ Detection (SIEMs, IDS, Observability) ✅ Response (IR tools, forensics) ✅ Testing (pentesting, red teaming) Companies like Google, CrowdStrike, Cloudflare, and even the NSA rely on deep toolchains like this — with automation built around them. 🎯 Final Thought: "You can't protect what you don't monitor. And you can't defend what you don’t understand." Cybersecurity isn’t a feature — it’s a discipline. These tools aren’t just for security engineers — they’re for every dev who ships to production. 👀 Follow me Mazharuddin Farooque for real-world engineering + security insights that you can actually use.