Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Expert Roundup -How to Prepare for AI Data Processing Under GDPR?

As AI adoption accelerates across business functions, December’s expert roundup focuses on a question many organizations are now confronting in practice rather than theory: how should companies prepare for AI related data processing under GDPR. Unlike traditional automation, AI systems often rely on large, dynamic datasets, continuous learning, and opaque decision logic.

Why Knowing ATT&CK Isn't Enough: Mapping Real Control Coverage with Reach

Security teams know the attack techniques. What they don’t always know is how those techniques actually land in their environment. Reach maps your existing controls to MITRE ATT&CK (and D3FEND) and shows—visually—︎ which techniques are covered︎ which tools provide that coverage︎ and where real gaps exist Because “we have the tool” isn’t the same as “the technique is stopped.”

Garrett Hamilton & Todd Graham on How AI Agents Change the Way We Think About Security

Garrett Hamilton, CEO and Co-Founder of Reach Security, sits down with Todd Graham, Managing Partner at Microsoft’s venture fund M12, to discuss why modern cybersecurity programs struggle to reduce real risk — despite massive spending on tools. Recorded at Black Hat, the conversation explores how misconfigurations, unused controls, and operational blind spots create exposure long before attackers need advanced techniques.

Zenity 2025 Year in Review: Building AI Security for the Enterprise

For security teams, the adoption of agents showed up operationally before it showed up strategically - creating new expectations and requirements. Risk is no longer tied to prompts or the model alone. It shows up in what agents do once they are connected to critical systems - coming from permissions they inherit, tools they invoke, and data they move.

How CrowdStrike Trains GenAI Models at Scale Using Distributed Computing

Large language models (LLMs) have revolutionized artificial intelligence and are rapidly transforming the cybersecurity landscape. As these powerful models become commonly used among both attackers and defenders, developing specialized cybersecurity LLMs has become a strategic imperative. The CrowdStrike 2025 Global Threat Report highlights a concerning trend: Threat actors are increasingly enhancing social engineering and computer network operations campaigns with LLM capabilities.

From Code to Agents: Proactively Securing AI-Native Apps with Cursor and Snyk

The rapid adoption of AI agents for development is creating a critical security gap. We are moving from predictable logic, deterministic code paths, and human-driven workflows to non-deterministic agents that reason, plan, and act autonomously using large language models across the broader software development lifecycle. As enterprises adopt these autonomous AI agents, the core challenge isn’t just the new risks and attack vectors; it’s a loss of runtime control.

The Best Use Cases for Photo-to-Video AI in Real Estate Marketing

The real estate business is pretty visual:images, videos and virtual tours are used to lure potential purchasers and tenants. With competition heating up and buyers expecting more dynamic and engaging content, real estate marketers are getting morecreative to keep ahead. Photo to Video AI is a revolutionary technology in this field, playing a key role in converting the stillimages of properties into video sequences. Using this technology, realestate agents can present homes more effectively, captivate audiences, and ultimately sell and rent faster.
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Security Shifts in 2026: Risk Moves Beyond the CISO

In 2026, cybersecurity will shift from being seen as the security team's responsibility to being part of how the entire company operates. Every business function will share ownership of risk. Finance, engineering, product, and marketing will all have clear roles in protecting customer trust.