Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Securing AI Transformation: Why Cato Networks Acquired Aim Security

Every major technology wave reshapes enterprise security. The rise of the Internet gave us firewalls. The move to SaaS brought CASB and DLP. The migration to the cloud and rise of the hybrid workforce demanded a new architecture like SASE to enable network transformation. Today, the AI revolution is creating an entirely new attack surface – one that is as transformative as it is urgent.

Must-Know AI Development Services Every Startup Needs to Scale Fast

Artificial Intelligence (AI) was once a buzzword of the future, but it has now become a viable tool that contributes to innovation, efficiency, and growth. In the case of startups, AI is not the benefit; it is the requirement. The use of AI can assist startups in automating operations, customizing customer experiences, and making smarter business decisions more quickly. Within this article, we will discuss the best AI development services startups can take to stay competitive in a highly competitive market.

Phishing Attacks Are Rising: Automate Detection Before They Overwhelm Your SOC

Phishing has become one of the most consistent and damaging entry points for attackers. Today's campaigns aren't the obvious scams we once knew. They look professional, mirror trusted brands, and often come packaged as full-service phishing kits with ready-made infrastructure. For SOC leaders, this means one thing: the volume is climbing, and manual detection is no longer sustainable.

The Rise of AI-Powered Attacks Threatening Crypto Trading Platforms

AI has made it cheap and fast to generate convincing scam campaigns. With scam deposits rising 200% year-over-year and 60% of scam funds now tied to AI-enabled fraud, trading platforms are facing an industrialized wave of deception. What once required sophisticated criminal networks can now be automated by anyone with basic technical skills. Crypto crime drained $2.17 billion in H1 2025 alone, already surpassing 2024's total. While the ByBit hack took the headlines, analysts warn that AI-driven infiltration and phishing are eating away at platforms daily, in smaller but relentless amounts.

From Ad Description to Video Production: A Practical Guide to Full-Process AI Advertising with AdMaker.ai

In the fast-paced marketing world today, full-process AI advertising creation is revolutionizing how brands produce content. Platforms like AI Ad Generator - AdMaker.ai empower marketers to automate every step-from generating advertising copy to producing professional videos-greatly improving efficiency, precision, and creative diversity.

Illuminate AI Adoption with AIBOMS

An AI Bill of Materials (AIBOM) addresses this gap. It is a concise, living profile for every AI capability an organization can invoke—models, agents, SaaS features, plug‑ins, and APIs. Kept in a machine‑readable format, it serves as a practical record that can inform runtime decisions in a control plane. An AIBOM summarizes five things about each AI capability: who provides it, what it can do, what data it sees, where it runs, and how it should be treated.

Beyond the Hype: The Veracode AI-Advantage in Application Security

For years, the cybersecurity industry has hyped AI as a game-changer, but what vendors often delivered was basic machine learning driven or simple predefined rules. The rise of ChatGPT and similar tools dramatically reshaped the landscape, prompting vendors to hastily identify real AI use cases in their offerings.

Challenges in Ensuring AI Data Privacy Compliance [& Their Solutions]

What happens when the AI feature you shipped last quarter is compliant in one region—but illegal today in another? That’s the new normal. In 2025, the EU AI Act, new U.S. state privacy laws, China’s PIPL, and APAC rules are reshaping how organizations collect, process, store, and share data for AI. Privacy isn’t a back-office task anymore; it’s a front-line guardrail for product, security, and data teams.

Secure AI at Machine Speed: Defending the Growing Attack Surface

As AI becomes embedded across the enterprise — from customer-facing tools to backend automation — it dramatically expands the enterprise attack surface. Models, agents, apps, and data pipelines now span public and private clouds, SaaS, and edge environments, creating a sprawling, opaque risk landscape.