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Articles by Aparna Achanta
What Cloud, SaaS, and AI Data Security Actually Controls
Data security in modern environments breaks at the edge of traditional control assumptions. Four layers of data security — discovery, access governance, movement control, and protection — work well when data sits in known systems with stable access patterns. Cloud pipelines replicate data continuously. SaaS platforms accumulate business data outside organizational boundaries. AI systems ingest sensitive data for training and embed documents for retrieval.
How to Build a Cloud, SaaS and AI Data Governance Program
Modern data environments create governance gaps that traditional programs cannot address. Production data moves through pipelines into data lakes, accumulates in SaaS platforms, and feeds AI training without carrying classification or ownership context. Discovery that waits for scheduled scans misses pipeline-created destinations. Access reviews that ignore service accounts miss the highest-risk data access in the environment.
What Data Protection Actually Controls
Data protection is often viewed as the last line of defense after attackers gain access to a network. Its real value, however, goes beyond encrypting files or satisfying compliance requirements. Effective data protection determines whether stolen information is actually usable, whether ransomware can permanently disrupt operations, and ultimately how much business and regulatory damage an organization suffers after a breach.
The Quantum Countdown: Preparing Today for Tomorrow’s Encryption Crisi
“Data we encrypt today is still valuable and vulnerable in the future.” Some truths are hard to hear. This is one: attackers are already stealing encrypted data and planning to decrypt it later, when quantum computers are powerful enough to crack today’s cryptography. This isn’t science fiction. It’s the slow, silent burn of an emerging crisis. Boards must understand: the risk isn’t theoretical. It’s happening.
The Quantum Countdown: Preparing Today for Tomorrow’s Encryption Crisi
“Data we encrypt today is still valuable and vulnerable in the future.” Some truths are hard to hear. This is one: attackers are already stealing encrypted data and planning to decrypt it later, when quantum computers are powerful enough to crack today’s cryptography. This isn’t science fiction. It’s the slow, silent burn of an emerging crisis. Boards must understand: the risk isn’t theoretical. It’s happening.
Security Leaders Must View Compliance as the Floor, Not the Ceiling
Compliance is everywhere. In boardroom dashboards, vendor scorecards, even product roadmaps. But let’s be honest: compliance isn't security. It never was. Too many leaders still treat it like a destination. Tick the box. File the report. Move on. But in today’s threat landscape, that mindset doesn’t hold. When it comes to cyber risk, regulators are raising the bar. Fast. The organizations that thrive are the ones that see compliance as the floor, not the ceiling.
IBM’s Aparna Achanta: How Poor Risk Management Can Lead to Crisis
By Aparna Achanta, Principal Security Lead, IBM Risk management in organizations is more than a routine checkbox exercise. Instead, it is the foundation of business resilience. What is the impact of security risks? Failing to implement appropriate and proportionate security measures can result in data breaches, infrastructure lapses and the loss of intellectual property, among other consequences. The outcome of such incidents causes financial loss, reputational damage and operational disruption.
Transformative Applications Of AI In Cybersecurity
Aparna Achanta is a Principal Security Architect at IBM with over a decade of experience leading secure application development projects. In this article, I discuss the integration of artificial intelligence (AI) in cybersecurity, its core applications and the common challenges it poses so organizations can make the most of AI tools to defend themselves. AI can bolster the security posture of an organization by helping businesses find, stop and fix cyberattacks faster and more accurately.
AI's Impact on Enterprise Security and How CISOs Should Prepare
As Artificial Intelligence starts touching each aspect of every enterprise, let us find out the implications of AI on overall enterprise security. Learn how CISOs can prepare for the future to play a better role in the wake of AI-powered cyberattacks. Within a short time after its advent, AI has shown how well it can adapt to different industry domains. It enhances threat detection, automates regular and repetitive tasks, and has become increasingly integral to cybersecurity.
How can Organizations Secure Low-Code No-Code Development
Applications developed by citizen developers are on the rise. Low-code and no-code (LCNC) platforms are reshaping the development ecosystem. These tools are broadening horizons and enabling citizen developers to create powerful applications. LCNC development is a way of developing apps in which developers use existing system design elements that can be added onto a visual interface.
Security and Governance of Edge AI Devices
Aparna Achanta, the Security and Compliance Lead at IBM Consulting, shares her insights into the role security and governance can (and should) play in Edge AI devices. This article originally appeared in Insight Jam, an enterprise IT community that enables human conversation on AI. Industries relying on real-time data are under growing pressure to deliver speed and efficiency. Traditional cloud computation causes delay, thus making it unsuitable for real-time executing applications.
How is AI Strengthening Zero Trust?
Written by Aparna Achanta, Principal Security Architect, IBM. Introduction The cybersecurity landscape is changing rapidly, given the ever-evolving nature of cyber threats. The increased adoption of artificial intelligence (AI) for the design and launch of cyberattacks has made discovering, preventing, and mitigating cyber threats through traditional security tools like firewalls much more complex.
Council Post: Security And Governance Challenges Of GenAI
Aparna Achanta is a Principal Security Architect at IBM with over a decade of experience leading secure application development projects. Organizations are looking to rapidly seek value from generative AI (GenAI), often neglecting a vital aspect: security. A recent IBM Institute for Business Value survey involving C-suite executives revealed that only 24% of ongoing GenAI projects take security into consideration.
DevSecOps Unleashed: Accelerating Development Without Compromising Security
Incorporating security into the development process without stifling innovation is a critical challenge for modern organizations. DevSecOps provides a robust solution by embedding security throughout the development cycle. For CISOs, this approach significantly reduces vulnerabilities early, automates security checks, and fosters a collaborative culture between development and security teams.
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