Digital Literacy Training

🗞️ 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

Who Are You in the AI World? You’re more than just one identity. CEO You. Investor You. Creator You. Coach You. Your digital identity isn’t just what you post—it’s how AI interprets, ranks, and amplifies you. 3 Steps to Strengthen & Protect Your Digital Identity: 1️⃣ Conduct a “Digital Identity Audit” – Google yourself. Review your top five search results and ask: - Does this accurately represent the professional and personal brand I want to build? - Would AI-driven platforms trust, rank, and amplify this content? - If not, what gaps need to be filled? Update or remove outdated, irrelevant, or inconsistent information. 2️⃣ Create an “AI-Friendly” Personal Knowledge Hub - An AI knowledge hub is a central, structured space online that clearly signals who you are, what you know, and why you’re credible. Think of it as your digital “source of truth”: a single destination that connects your expertise, content, and credentials. Here’s what this looks like: Set up a Notion page, personal website, or GitHub profile that includes: - A concise professional bio and headshot - Curated thought leadership (e.g. LinkedIn posts, Substack articles, YouTube clips) - Clearly labeled sections by topic (e.g. AI ethics, product design, cybersecurity) - Links to your social profiles and featured publications - A downloadable resource—like a white paper, case study, or personal framework This kind of centralized, AI-readable knowledge hub boosts your authority across digital ecosystems—helping AI rank, reference, and amplify your expertise more accurately and consistently. 3️⃣ Build a Multi-Platform Digital Presence – AI aggregates and cross-references your identity across platforms. If you’re only active on one channel, expand to at least two or three. Why this matters: - The global digital identity market is projected to grow from $16.6B in 2024 to $65.3B by 2033 (Business Research Insights). - 42% of companies are already integrating digital IDs into their systems (Regula). - And agentic AI is accelerating fast, with over $2B in VC funding in the past two years (Deloitte). In a world where AI is reshaping how credibility is built and how influence spreads, your digital identity is becoming your most valuable asset. Follow me to learn how to shape, protect, and lead with your digital identity. #PersonalBranding #DigitalPresence #ProfessionalGrowth

"𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐢𝐧𝐠 𝐭𝐡𝐞 𝐏𝐫𝐢𝐯𝐚𝐜𝐲 𝐏𝐚𝐫𝐚𝐝𝐨𝐱: 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐚 𝐑𝐨𝐛𝐮𝐬𝐭 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐈𝐝𝐞𝐧𝐭𝐢𝐭𝐲 𝐒𝐩𝐢𝐧𝐞" In a rapidly evolving digital landscape, building a reliable digital identity spine has become both more crucial and more challenging than ever. As privacy regulations tighten and third-party cookies crumble, businesses need to adapt their identity strategies. The key lies in building a flexible, privacy-first identity spine that can evolve with the changing tides of data protection. Here's how we can approach it: 👉 𝑷𝒓𝒊𝒐𝒓𝒊𝒕𝒊𝒔𝒆 𝒇𝒊𝒓𝒔𝒕-𝒑𝒂𝒓𝒕𝒚 𝒅𝒂𝒕𝒂: Shift focus to collecting and leveraging your own customer data with transparent consent. 👉 𝑰𝒎𝒑𝒍𝒆𝒎𝒆𝒏𝒕 𝒑𝒓𝒊𝒗𝒂𝒄𝒚-𝒆𝒏𝒉𝒂𝒏𝒄𝒊𝒏𝒈 𝒕𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒆𝒔 (𝑷𝑬𝑻𝒔): Explore solutions like data clean rooms and federated learning. 👉 𝑨𝒅𝒐𝒑𝒕 𝒖𝒏𝒊𝒗𝒆𝒓𝒔𝒂𝒍 𝑰𝑫 𝒔𝒐𝒍𝒖𝒕𝒊𝒐𝒏𝒔: Consider privacy-compliant alternatives to third-party cookies. 👉 𝑰𝒏𝒗𝒆𝒔𝒕 𝒊𝒏 𝒅𝒂𝒕𝒂 𝒈𝒐𝒗𝒆𝒓𝒏𝒂𝒏𝒄𝒆: Ensure your data practices are ethically sound and compliant with regulations like GDPR and CCPA. 👉 𝑬𝒎𝒃𝒓𝒂𝒄𝒆 𝒄𝒐𝒏𝒕𝒆𝒙𝒕𝒖𝒂𝒍 𝒕𝒂𝒓𝒈𝒆𝒕𝒊𝒏𝒈: Complement your identity-based strategies with context-driven approaches. 👉 𝑭𝒐𝒔𝒕𝒆𝒓 𝒅𝒂𝒕𝒂 𝒑𝒂𝒓𝒕𝒏𝒆𝒓𝒔𝒉𝒊𝒑𝒔: Collaborate with trusted partners to enrich your identity graph while respecting privacy boundaries. Remember, building a digital identity spine isn't a one-time project—it's an ongoing process of adaptation and refinement. The goal is to create a system that's robust enough to withstand regulatory changes, yet flexible enough to evolve with technological advancements. As we navigate this complex landscape, one thing is clear: the future belongs to those who can balance the power of identity with the imperative of privacy. What strategies are you employing to future-proof your digital identity approach? #DigitalIdentity #DataPrivacy #MarTech #CustomerTechnology

The New Frontier in SaaS Security: Identity Management As SaaS tools become essential to modern business, managing identity has emerged as the critical security challenge. The shift to cloud-based apps means the traditional network perimeter is gone, and identity now controls access to sensitive data. Key Points: - Expanding Attack Surface: With more SaaS tools, businesses face greater risk from shadow IT and unmanaged accounts. - Identity Hygiene: Regular audits, enforcing multi-factor authentication (MFA), and monitoring suspicious activity are essential to safeguard access. - Automation: Automated identity management tools help detect risky accounts, mitigate permissions issues, and streamline security. - Balancing Security and Usability: Flexible guardrails like conditional access policies ensure productivity without compromising security. In the ever-evolving SaaS landscape, businesses must adapt quickly by embracing visibility, automation, and a layered approach to security.

Why we need Converged Identity Governance and Administration (IGA) and Identity and Access Management (IAM) platform? It is designed to help organizations—especially large, heterogeneous enterprises—manage the full lifecycle of digital identities (employees, partners, and customers) from a single source of truth. 1. Identity Lifecycle Management (ILM) Automating the Joiner-Mover-Leaver process to ensure security and operational efficiency. Automated Provisioning: Automatically creates user accounts and grants access to necessary applications (SaaS or on-prem) on day one. Secure Off-boarding: Instantly revokes all access when an employee leaves, eliminating "orphaned accounts" that are prime targets for hackers. Role-Based Access Control (RBAC): Assigns permissions based on specific job functions, ensuring users have only the access they need. 2. Access Governance & Compliance Visibility and meeting regulatory requirements (like GDPR, SOC2, or ISO 27001). Access Certifications: Periodic "attestation" campaigns where managers must review and re-approve their team’s access. Segregation of Duties (SoD): Prevents conflicts of interest (e.g., ensuring the same person cannot both initiate and approve a financial payment). Audit Reporting: Generates detailed logs and compliance-ready reports to prove to auditors who has access to what and why. 3. Unified Access Management Beyond governance, it should provides the tools users need for daily work. Single Sign-On (SSO): One set of credentials to access all authorized enterprise applications. Adaptive MFA: Uses AI-driven risk scoring to trigger Multi-Factor Authentication (OTP, Push, etc.) only when a login looks suspicious (e.g., from a new location). Password-less Login: Supports modern standards like FIDO and biometric authentication to reduce "password fatigue." 4. Privileged Access Management (PAM) For high-risk accounts (like IT admins), need specialized controls: Secure Vaulting: Encrypts and manages passwords for sensitive system accounts. Session Monitoring: Records activity during privileged sessions for forensic analysis. Just-in-Time (JIT) Access: Grants elevated privileges only for the specific window of time they are needed. Dr. Ajit Karunakaran Mandar Chitre Sachin Salian Vikas Jha Gourav Sharma Sai Rathika Nirmal Kumar Aklesh Mishra Abhishek Kulkarni Yazad B. #IAM #ILM #PAM #IGA #SSO #MFA #IDAM #RBAC #writerinformation #cymmetri #india #aws #intelicscloud

Managing your digital footprint has never been more crucial. Every action we take online, from social media posts to website visits, contributes to a lasting digital legacy. As professionals, it is imperative to be mindful of the information we share and how it reflects on our personal and professional image. Controlling your digital footprint means being proactive about privacy settings, regularly auditing your online presence, and making conscious decisions about the content you create and share. Understanding the implications of your digital footprint goes beyond just safeguarding your reputation. It also encompasses protecting your personal data from misuse. Cybersecurity threats are ever-evolving, and the information we share online can be used maliciously if not managed properly. Take the time to educate yourself about privacy controls, use strong passwords, and be cautious of the information you disclose on public platforms. A well-maintained digital footprint not only enhances your professional credibility but also secures your personal data. Lastly, think of your digital footprint as an evolving portfolio that tells your story. Be deliberate about the content you associate with your professional identity. Share achievements, thought leadership, and industry insights that reflect your expertise and values. Engage with your network meaningfully and contribute positively to online discussions. By consciously curating your digital footprint, you can leverage it as a powerful tool for career advancement and personal growth. Remember, every online interaction is a step in building your professional legacy.

Most enterprises still think identity means people. But that definition is collapsing fast. By the end of 2025, there will be 45 billion non-human identities  autonomous agents, APIs, microservices, and digital twins  each requiring authentication, authorization, and auditability. And your current IAM stack isn’t built for that world. Traditional IAM was designed for static users. AI systems demand dynamic trust. Here’s how the Ephemeral Identity Lifecycle for AI agents actually works: 1- Identity Generation ↳ Every AI agent receives a unique cryptographic identifier at birth. ↳ No centralized registry, only verifiable claims. 2- Contextual Authentication ↳ Identity isn’t permanent it’s revalidated based on environment and task. ↳ Trust adapts in real time. 3- Intent Verification ↳ Systems don’t just confirm “who” they confirm “why.” ↳ Every agent action requires purpose-level validation. 4- Delegated Authorization ↳ Agents request permissions dynamically, not pre-assigned roles. ↳ Policies respond to context, not hierarchy. 5- Lifecycle Expiry ↳ Once a task is complete, identity dissolves automatically. ↳ No orphan credentials. No persistent risk. 6- Auditability & Traceability ↳ Every decision, access, and interaction is cryptographically logged. ↳ Provenance replaces perimeter security. 7- Federation Across Systems ↳ Non-human identities span clouds, APIs, and models. ↳ Decentralized identity protocols maintain continuity of trust. This isn’t future speculation it’s operational necessity. Because when AI agents begin making autonomous decisions, the identity system becomes your new control plane. Security, compliance, and governance will all depend on how well you manage ephemeral trust at scale. The companies ready for this shift won’t just protect their systems. They’ll build new digital economies of verified machine interaction. ↝ If you want to understand how AI agent identity lifecycles redefine enterprise IAM, follow me, Aditya Santhanam, for technical frameworks on securing the age of machine trust. ♻ Share this with a CTO still securing users when the real challenge is securing intelligence.

In episode 240 of The Data Diva Talks Privacy Podcast, host Debbie Reynolds, “The Data Diva,” welcomes Ian Glazer, Vice President of Product Strategy at SGNL (SGNL.ai) and co-founder of IDPro. With decades of leadership in digital identity, Ian shares insights on how identity, privacy, and security have become essential foundations of digital interaction. They explore how identity has shifted from managing usernames and passwords to helping individuals assert who they are in digital spaces. Ian and Debbie examine the rise of “proofing creep,” where services now require government IDs and biometric selfies, raising questions about over-collection and user dignity. Ian explains that identity is how privacy controls are enforced, and that organizations need to ask what data they are collecting, what it represents, and how it should be protected. The conversation covers mobile driver's licenses, biometric authentication, and government-backed digital ID programs. Ian raises concerns about fragmented identity systems that could create barriers to global access and digital inclusion. They also discuss challenges with age verification laws that translate physical-world practices poorly into online environments, often leading to excessive data demands. Ian outlines how emerging AI systems acting on behalf of users present new identity challenges around authority, authentication, and accountability. He ties this to similar concerns around digital estate management, emphasizing the need for consistent identity frameworks across different contexts. Closing the episode, Ian calls for an empathetic approach to designing identity systems, one that recognizes real-world conditions such as aging, accessibility needs, and unequal access to technology. Debbie and Ian agree that identity systems should be easy to use, respectful of users, and built to support everyone, not just tech-savvy individuals. Audio and full transcript here: https://lnkd.in/gj2wP5EB Subscribe to “The Data Diva” Talks Privacy Podcast, now available on all major podcast directories, including Apple Podcasts, Spotify, Stitcher, iHeart Radio, and more. Hosted by Data Diva Media Debbie Reynolds Consulting, LLC #dataprivacy #datadiva #privacy #cybersecurity #digitalidentity #ageverification #AIethics #inclusiveDesign #identitygovernance #empathybydesign #TheDataDiva

NIST just reshaped the identity landscape, and it goes far beyond authentication. In July 2025, NIST finalized SP 800-63 Revision 4 – Digital Identity Guidelines. While much of the focus is on proofing and authentication, the changes have major implications for Identity Governance & Administration (IGA) and Identity Security Posture Management (ISPM). Here are the big takeaways CISOs and IAM leaders should care about: 1️⃣ Continuous Evaluation → Continuous Access Reviews NIST now emphasizes continuous monitoring. For IGA, that means annual certification campaigns won’t cut it, governance must shift to real-time access reviews and automated remediation. 2️⃣ Fraud & Forged Media → Stronger Access Validation By calling out deepfakes, injection attacks, and identity fraud, NIST is signaling the need for risk-aware access requests and approvals. Governance tools must verify who is requesting access and under what conditions. 3️⃣ Contextual Proofing → Contextual Governance NIST split proofing into remote vs. onsite, attended vs. unattended. The message? Context matters. IGA must adapt by enabling conditional and just-in-time access controls instead of static policies. 4️⃣ Syncable Authenticators → Lifecycle Governance Passkeys and synced authenticators are here to stay. IGA and ISPM solutions must ensure proper lifecycle management and de-provisioning, so synced credentials don’t become orphaned or invisible. 5️⃣ Subscriber-Controlled Wallets → Decentralized Attribute Governance With NIST supporting user-managed wallets, identity attributes won’t always live in corporate directories. Governance must extend to federated and external sources, a challenge tailor-made for ISPM. Bottom line: NIST is telling enterprises: identity is no longer just an “MFA problem.” It’s a governance and risk posture problem. Organizations that still rely on manual reviews, legacy IGA, or siloed controls will struggle to keep up. 👉 2025 is the year to make identity governance continuous, contextual, and automated. https://lnkd.in/emnSUkzW