This IDC InfoBrief provides key insights and practical guidance to help organizations navigate these challenges, including:

• Security Challenges in Flexible Work Models: Discover how hybrid and remote work setups create new security vulnerabilities, from unmonitored devices to risky employee behaviors.
• The Role of Generative AI in Security Risks: Understand how generative AI technologies impact document security, particularly regarding data loss, quality issues, and compliance concerns.
• Practical Strategies for Enhanced Security: Learn how to strengthen document security with secure workflows, advanced access controls, encryption, and a security-first organizational mindset.

The post Strengthening Document Security in a World of Flexible Work and Gen AI (IDC Inforbrief) first appeared on techpulseinsider.

AI is adding to this complexity, amplifying both the risks and opportunities in application security. AI-assisted coding is reshaping how applications are built, deployed, and maintained. In parallel, the capabilities of platforms themselves are evolving with AI: features from autofix workflows to false positive analysis to scanning itself are all radically changing product expectations.

This report is designed to help practitioners and buyers navigate the current application security landscape. It covers the transitions in application security over time, from waterfall development to DevOps to emerging AI code generation workflows. The report then breaks down every subcategory of scanner and the development of modern features, as well as how AI capabilities are changing functionalities we use today. We conclude with actionable buyer guidance that spans across SMB, mid-market, and enterprise environments.

The post Application Security Market Report first appeared on techpulseinsider.

Shadow AI introduces unseen risks to enterprises. Without proper IT involvement and oversight, employees may unknowingly expose sensitive data, such as PII, financial information, or intellectual property, to uncontrollable external AI systems. Assessing your threat landscape and enabling policies to prevent oversharing is imperative now more than ever.

This checklist provides the foundation for effective AI risk management, helping you tackle the security risks of AI and ensure AI data security across your teams and infrastructure. Stay ahead of evolving threats and protect your sensitive data from ungoverned AI tools.

Enable your organization to harness productivity AI tools safely while ensuring regulatory compliance with six actionable steps. Download the full checklist today!

The post Security Risks of Shadow AI: Free Checklist for AI Data Security first appeared on techpulseinsider.

This whitepaper is brought to you by Blackpanda , a leader in cyber emergency response services, and delves into the current cybersecurity landscape of organizations in the countries where Blackpanda operates, specifically Hong Kong, Singapore, Japan and the Philippines, with a focus on uncovering the complexities and challenges these organizations face.

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The post Current state of cyber threats and cybersecurity in Asia: Japan, Hong Kong, Singapore, and the Philippines first appeared on techpulseinsider.

What is changing, and how should security evolve? And beyond all the fear and uncertainty, what are the opportunities? How can security take advantage of these changes to solve some of the long-standing AppSec problems and make the process more efficient and effective?

Read our new whitepaper to get insights into and advice on:

• The changes to software development, and software itself, instigated by AI
• The risks introduced by AI-led software development
• The AI-related shifts in AppSec requirements
• The opportunities for AppSec improvements that AI is unearthing

The post AppSec in the Age of AI first appeared on techpulseinsider.