Cybersecurity In Financial Services

Security doesn't depend on Dev for vulnerabilities to exist. But… 1. Dev depends on Security for compliance sign-off. 2. Ops depends on Security for deployment approvals. 3. Product depends on Security for feature releases. 4. Business depends on Security for customer trust. The entire delivery pipeline hinges on how Security operates. Yet some Security teams treat developer experience like it's not their problem. Slow approval processes that take days. Unclear requirements that change mid-sprint. Manual checks that could be automated. Security gates that block without clear remediation paths. "We found issues" without explaining what or how to fix. "This can't go to production" without alternative solutions. "That's not secure" without documented standards. Then they wonder why developers route around security controls. Why shadow IT emerges. Why technical debt piles up. Why vulnerabilities slip through. Here's what actually works: 1. Clear security guidelines before development starts. 2. Automated security checks in the CI/CD pipeline. 3. Fast feedback loops with actionable results. 4. Self-service tools that don't require security approval for every change. 5. Documentation that developers can actually follow. 6. Risk-based prioritisation instead of blocking everything. Security should enable delivery, not prevent it. Your job isn't to say no. It's to show developers how to say yes securely. Build guardrails, not roadblocks. Automate gates, don't add manual checkpoints. Provide tools, not tickets. When Security becomes a bottleneck, the business moves on without you. When Security enables velocity, you become indispensable. The best Security teams make secure development the path of least resistance. They understand that developer experience is security's problem too. Because if it's hard to do securely, people will do it insecurely. Make security easy, fast, and clear. Or watch your controls get bypassed

Shift-Left Security Isn’t Slowing You Down—Your Bug Backlog Is The 2017 Equifax breach stemmed from a vulnerability that could’ve been caught during coding—not in a pentest. Fast-forward to 2024: 78% of critical flaws are still found post-deployment (Veracode Report). Shift-left isn’t a buzzword. It’s a $20M lesson. Myth: “Security-first coding delays launches.” Reality: Teams using shift-left practices fix bugs 11x faster (Snyk, 2024). How Top Teams Hack Security Into Velocity: 1. Code With Guardrails Netflix embeds security rules directly into IDEs. Example: Auto-reject code with eval() functions. Flag hardcoded secrets as you type. 2. Automate the Boring Stuff Spotify’s “Security Champions” program trains devs via gamified labs (think: Capture the Flag for SQLi). 3. Shift-Left ≠ Shift-Blame Adobe’s DevSecOps teams measure “Time to Fix” instead of “Bugs Found”—rewarding collaboration over finger-pointing. The Controversy Is Missing the Point: Yes, adding SAST tools to your CI/CD pipeline might add 2 hours to sprint cycles. But fixing a single prod exploit post-launch takes 40+ hours (and your CISO’s sanity). Actionable Steps: -> Tool Stack: Start with Snyk, Checkmarx, or GitGuardian. They plug into existing workflows. -> Training: Require 1 security PR review per dev monthly. -> Metrics: Track “Escaped Vulnerabilities” (bugs found post-commit) to prove ROI. If your devs see security as a bottleneck, your process is broken—not their mindset. Is “shift-left” a blocker or an enabler in your org? Be honest. #DevSecOps #ShiftLeft #Cybersecurity #SoftwareDevelopment #Tech

Fortify Your Code: 10 Security Practices Every Developer and Builder Must Get Right   In today's complex software landscape, a "secure-by-design" approach is non-negotiable. Protecting confidentiality, integrity, and availability requires embedding security throughout the entire lifecycle. Here’s a concise guide to the top five practices for both developers and builders.   For Developers: Building Security In 1.    Application IAM: Move beyond reusable passwords. Enforce Multi-Factor Authentication (MFA), especially for privileged accounts. Leverage industry standards (OIDC, SAML, OAuth) to centralize access management and maintain detailed audit trails for all activity. 2.    Code Repository Security: Protect your crown jewels. Use trusted repositories, enforce strict least-privilege access, and ensure rapid access revocation. Mandate code reviews and auditing workflows for sensitive changes, especially in production code. 3.    Secrets Management: Never hardcode credentials. Eliminate default passwords and replace long-lived secrets with temporary ones. Implement a secure, centralized "secrets vault" for storage, rotation, and auditing of all API keys, database passwords, and tokens. 4.    Open-Source Dependencies: Proactively manage risk. Maintain an inventory of all open-source components and their known vulnerabilities using automated tools. Define a clear process for patching based on risk and ensure license compliance to avoid legal issues. 5.    Static Code Analysis: Find vulnerabilities before they go live. Integrate SAST tools (like AWS CodeGuru) into your CI/CD pipeline to automatically scan code. Triage results to prioritize high-impact fixes and maintain a managed vulnerability inventory.   For Builders: Securing the Foundation 1.    Infrastructure IAM: Guard the keys to the kingdom. Secure all infrastructure access with MFA and restrict logins to known corporate IPs. Implement a "break-glass" process for production and maintain comprehensive audit trails (e.g., with AWS CloudTrail). 2.    CI/CD Pipeline Security: Protect your software supply chain. Apply least-privilege access to the pipeline, secure code integrations with signed commits, and never store secrets within the pipeline—use a dedicated secrets manager. Enable logging and approval workflows for production deployments.   (Continue in 1st comment)   By integrating these practices, we shift security left and build resilient systems by design. Let's commit to building securely from the first line of code to the final deployment.     Transform Partner – Your Strategic Champion for Digital Transformation   Image Source: CSA

Security mistakes are never theoretical once secrets hit a repository The moment an API key is committed the problem is no longer about Git It is about incident response A lot of developers think the fix starts with removing the key from the codebase or rewriting Git history That matters But it is not the first priority The first priority is assuming the secret is already compromised Experienced engineers respond in this order → Revoke or rotate the exposed key immediately → Check logs and usage to detect abuse → Remove the secret from the codebase → Rewrite history if needed to reduce future exposure → Update deployment and environment variables safely → Add guardrails so it does not happen again This is one of the biggest mindset shifts from junior to senior engineering Juniors often focus on cleaning the evidence Seniors focus on limiting the blast radius Because once a secret is exposed you cannot confidently assume nobody saw it That is why secret management matters so much in professional systems Good teams build processes that reduce the chance of human mistakes becoming production incidents → Store secrets outside source code → Use environment variables or secret managers → Add pre commit hooks and secret scanning → Limit permissions for keys and tokens → Rotate secrets regularly → Treat every exposed key as compromised Security maturity is not about never making mistakes It is about responding correctly when mistakes happen If a secret was exposed in your team today would everyone know the right order of actions Share your thoughts below Follow Nelson Djalo for practical lessons that help developers think like real software engineers #coding #programming #softwareengineering

Most teams discover security problems after deployment. That moment is uncomfortable. Logs are noisy. Customers are impacted. And suddenly security becomes urgent. But here is the quiet truth many teams overlook. Security failures rarely start in production. They begin much earlier. In planning. In architecture decisions. In code commits. The real shift happens when security becomes part of the entire development lifecycle. That is the idea behind Secure SDLC. Not a final checkpoint. A continuous loop of protection. 𝐇𝐞𝐫𝐞 𝐢𝐬 𝐡𝐨𝐰 𝐦𝐨𝐝𝐞𝐫𝐧 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐭𝐞𝐚𝐦𝐬 𝐞𝐦𝐛𝐞𝐝 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐢𝐧𝐭𝐨 𝐞𝐯𝐞𝐫𝐲 𝐩𝐡𝐚𝐬𝐞. → 𝐏𝐥𝐚𝐧𝐧𝐢𝐧𝐠 • Threat modeling • Compliance requirements • Security benchmarks • STRIDE • PASTA → 𝐃𝐞𝐬𝐢𝐠𝐧 • Secure architecture review • Security design principles • Threat Dragon • IriusRisk → 𝐂𝐨𝐝𝐞 • SAST scanning • Secrets detection • Peer code review • Pre commit hooks • SonarQube • Semgrep • GitGuardian → 𝐁𝐮𝐢𝐥𝐝 • Software composition analysis • Open source dependency scanning • Container security scanning • Snyk • Trivy • OWASP Dependency Check → 𝐓𝐞𝐬𝐭 • Dynamic application security testing • Penetration testing • API security validation • OWASP ZAP • Burp Suite → 𝐃𝐞𝐩𝐥𝐨𝐲 • Cloud security posture checks • Infrastructure as code scanning • Secrets management • Checkov • Terraform Sentinel • Vault → 𝐌𝐨𝐧𝐢𝐭𝐨𝐫 • Runtime monitoring • Security analytics • Incident response workflows • Splunk • Datadog • Wazuh Secure SDLC is not about slowing developers down. It is about building trust into software from day one. Because the safest systems are not the ones patched at the end. They are the ones designed securely from the start. Curious how security is integrated into your engineering workflow. Follow Dinesh Anbumani for more insights

𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐢𝐬 𝐧𝐨 𝐥𝐨𝐧𝐠𝐞𝐫 𝐚 “𝐟𝐞𝐚𝐭𝐮𝐫𝐞” - 𝐢𝐭’𝐬 𝐚 𝐟𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧. Whether you’re building a simple app or a complete enterprise system, security must live at the core of your software development process. In today’s world of constant cyber threats, data leaks, and system vulnerabilities, a single weak point can cost a business its reputation, users, and even legal compliance. That’s why security needs to be part of every stage of the SDLC - from planning to deployment and long-term maintenance. 💡 𝐒𝐨 𝐰𝐡𝐲 𝐢𝐬 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐢𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭? Protects sensitive data (confidentiality) Ensures data integrity and reliability Keeps systems available and resilient Builds user trust and brand credibility Reduces long-term cost by preventing breaches Helps meet compliance and regulatory standards 🔧 𝐖𝐡𝐞𝐫𝐞 𝐝𝐨𝐞𝐬 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐟𝐢𝐭 𝐢𝐧 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭? 𝐄𝐯𝐞𝐫𝐲𝐰𝐡𝐞𝐫𝐞. In planning, we identify risks. In design, we choose secure architecture. In coding, we follow secure coding practices. In testing, we run security scans and penetration tests. In deployment, we secure servers, APIs, and credentials. In maintenance, we patch and monitor continuously. 🔒 𝐇𝐨𝐰 𝐝𝐨 𝐰𝐞 𝐬𝐞𝐜𝐮𝐫𝐞 𝐨𝐮𝐫 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞? Some key approaches: Secure coding & code reviews Input validation and protection against common attacks Proper authentication & authorization Cloud & infrastructure security (firewalls, API Gateway, secrets management) DevSecOps: embedding security into CI/CD Encryption for data at rest and in transit Role-based access control & MFA Regular vulnerability scanning & penetration testing Clear security policies and team awareness At the end of the day, security is not a checkbox - it’s a culture. If we build with security in mind from day one, we build software that users trust and businesses can rely on.

The main principle I teach about DevSecOps in embedded systems is this: Shift Security Left. If you imagine your development cycle as a left-to-right timeline, most teams push security all the way to the right. They treat it like a final checkbox, not a design constraint. Shifting security left means doing the opposite: deliberately pulling security practices into the early stages of development. You might think, "Whoa, doesn’t that mean shipping a product will take longer and cost more?" Good question. And the answer surprisingly is a big fat NO. Yes, integrating security early forces more testing. Yes, it can feel repetitive and tedious. Yes, it adds friction where most teams prefer comfort. But that’s exactly the point: That friction is so painful if done manually, it forces developers to automate. And automation will lead to less time and less money wasted. That’s why the second principle I teach after “Shift Security Left” is to learn and adopt automation. You see, those early checks surface vulnerabilities when they’re still cheap to fix. And that’s how teams who shift security left end up moving faster, not slower.

🚨 NIST Updates Security & Privacy Control Catalog: What You Need to Know. The National Institute of Standards and Technology (NIST) has released key updates to its flagship Special Publication 800-53, Rev. 5.2.0 - Security and Privacy Controls for Information Systems and Organizations. These changes directly respond to the U.S. Executive Order on Improving the Nation’s Cybersecurity, placing a sharper focus on secure software development and patch management. 🔹 Why it matters: Software updates and patches remain a leading vector for cyber risk. The revised controls help organizations balance rapid vulnerability remediation with the resiliency, integrity, and safety of systems being updated. Key updates include: •Secure Software Development Practices: Emphasis on developer testing and cyber-resiliency by design. •Software Integrity & Validation: Controls to prevent unintended consequences from updates or patches. Three New Controls: •Logging Syntax (SA-15): Standardized event logs for faster detection & incident response. •Root Cause Analysis: Structured methods to learn from failures. •Design for Cyber Resiliency: Ensuring systems can withstand and recover from cyber events. For organizations mapping to NIST CSF 2.0, CMMC, ISO 27001, or SOC 2, these updates are another signal that patching alone isn’t enough, as you also need governance, testing, and resiliency baked into your entire software lifecycle. Details here: https://lnkd.in/eYDSB4Vn #Cybersecurity #NIST #RiskManagement #vCISO #PatchManagement #SecureSoftwareDevelopment #Compliance #CMMC #ISO27001 #SOC2

This infographic compares the security structures of traditional software development (DevOps) with the emerging requirements of Artificial Intelligence and Machine Learning (AI/ML). It illustrates how security must evolve as we move from securing static code to securing dynamic, data-driven intelligence. 1. DevOps Pipeline Security: Protecting the Code The left side focuses on the standard software lifecycle, where the goal is to ensure the code you write is the same code that reaches the user without being tampered with. • Source & Build: Security starts with protecting where the code is written (Git repositories) and checking for vulnerabilities or "bugs" during the build process using automated scanning tools. • Supply Chain: This ensures that every third-party ingredient—like open-source libraries—is documented in a Software Bill of Materials (SBOM) to prevent malicious code from sneaking in. • Production & Monitoring: Once live, the focus shifts to defending against common web attacks (like SQL injection) and ensuring the system stays up and running through constant log analysis. 2. AI/ML Pipeline Security: Protecting the Intelligence The right side highlights that AI models require a different kind of "nurturing" and protection because they learn from data rather than just following a set of pre-written instructions. • Input & Training: Security here is about the integrity of the data. It involves tracking where data comes from (provenance) and isolating the "compute" environment to prevent the model from being tampered with while it's learning. • Supply Chain: Similar to software, AI needs an AI-BOM (AI Bill of Materials). This tracks the model's lineage and the specific datasets used to build it. • Production & Monitoring: In the real world, AI faces unique threats like data poisoning (feeding it bad info to change its behavior) or jailbreaking. Monitoring must look for "model drift"—when the AI’s performance starts to degrade or become biased over time. 3. The Foundation: Shared Responsibility At the bottom, the graphic illustrates that both pipelines rely on the same three strategic pillars to function securely: • Identity & Access Management (IAM): Ensuring only the right people have access to specific parts of the system using tools like Multi-Factor Authentication (MFA). • Cloud Infrastructure: Building the system on a secure, segmented network that can detect threats automatically. • Encryption: Keeping information scrambled and unreadable while it’s being stored, moved, or even while it's being processed (Confidential Computing). • Essentially, while the tools we build are changing from standard software to AI, the principles of trust, verification, and constant oversight remain the bedrock of a resilient organization. How can I help you integrate these two security frameworks into your current strategic roadmap?

🚀 Building a Robust DevSecOps Strategy in 2024: Where to Start? 🤔 Ever felt like your DevSecOps teams are speaking different languages? I’ve been there. When teams work in silos, communication breaks down, accountability slips, and risks increase. Here’s how you can diagnose and improve your DevSecOps strategy: 🚩 Signs Your DevSecOps Strategy Needs Help 🔄 Communication Silos: When teams are isolated, tasks often get duplicated or, worse, neglected. This results in wasted time and money and increases security risks. 🕵️ Time Wasted on Information Search: IT employees can waste up to 4.2 hours daily just searching for relevant information, highlighting a lack of effective knowledge sharing. ⚠️ Addressing Vulnerabilities Post-Deployment: Pushing security checks to the end of the development cycle leads to discovering significant vulnerabilities only after a product has been launched, putting your application and data at risk. 💡 Strategies to Strengthen Your DevSecOps Approach 🤝 Foster a Culture of Collaboration: Encourage open communication between development, security, and operations teams. Use regular meetings and shared platforms to ensure alignment and teamwork. 🔐 Embrace Continuous Security: Security isn’t a one-time task; it’s an ongoing process. Train developers in secure coding practices and ensure security teams understand development workflows to implement proactive security measures. ⚙️ Automate Security in the CI/CD Pipeline: Integrate security testing tools like SAST, DAST, and SCA into your CI/CD pipelines. Use SAST during the build phase and DAST and SCA for later-stage testing to catch issues early and often. 🛡️ Implement Threat Modeling: Use threat modeling frameworks like STRIDE or PASTA to identify and prioritize threats early in development. Develop targeted countermeasures before threats become vulnerabilities. 🏆 The Role of a Change Champion 🎯 Identify a Change Champion: Choose someone with a strong understanding of both development and security practices. Ensure they have excellent communication skills and a passion for improving security practices. 🧠 Empower Your Champion: Provide leadership, communication, and coaching resources and training. Help them create a community of champions to share knowledge and best practices across teams. In today’s digital landscape, DevSecOps is no longer optional—it’s essential. By diagnosing team challenges, fostering collaboration, and implementing these best practices, your organization can protect itself from vulnerabilities and thrive in a rapidly changing environment. #DevSecOps #CyberSecurity #DevOps #DigitalTransformation #Automation #Leadership #ContinuousSecurity #CI_CD #TeamCollaboration #ShiftLeft