Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

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.

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.

Are We Creating an AI Security Nightmare?

Out tomorrow! 77% of enterprises have already faced AI-related security incidents. Are we building innovation—or just our next crisis? AI is becoming more prevalent, especially in the world of cybersecurity. However, there are many AI risks and dangers of AI that people should be aware of, including the weaponisation of ai. It's important to consider the ethical implications of artificial intelligence, especially in fields like ai in healthcare.

Securing the Battleground: Moving Beyond Legacy Barriers to Zero Trust for IoT and OT IAM

Identity and Access Management (IAM) is rapidly emerging as the next battleground in industrial cybersecurity. As connectivity increases in operational technology (OT) and IoT environments, the complexity of securing machine and human identities grows. Legacy systems, cultural resistance, and the tension between uptime and security controls make IAM adoption a major challenge for operators.

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.

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.

Introducing Dynamic API Scanning

Application environments are more complex than ever, with APIs forming the critical connective tissue. But this proliferation has created a vast, often invisible, attack surface. Security teams are caught in a difficult position: compliance frameworks like PCI and SOC 2 demand API scanning, but offer little guidance. Meanwhile, you’re grappling with incomplete API inventories, and the market is a confusing mix of expensive, hard-to-instrument niche tools.

Securing cloud console and CLI access for agile software development

Fast-moving cloud environments demand speed, but without the right access controls they invite risk. Resources such as virtual machines, containers, and services are created, modified, and terminated at a rapid pace. At the same time, workloads are becoming increasingly distributed, with data and applications spanning multiple regions, accounts, and even across different cloud service providers (CSPs).