Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Code Scanning in 2025: Why, How & the Role of Scanning in AI Security

Code scanning is the process of automatically analyzing source code to identify potential security vulnerabilities, bugs, and other code quality issues. It’s a crucial part of secure application development, helping teams detect and fix problems early in the software development lifecycle. Code scanning tools mainly use static analysis methods (examining code without running it), in contrast to dynamic analysis tools which analyze applications while they are running.

A CISO's Guide to the Business Risks of AI Development Platforms

The tools designed to build your next product are now being used to build the perfect attack against it. Generative AI platforms can spin up a pixel-perfect replica of your brand's login page in minutes, launching high-fidelity phishing campaigns at a scale and speed that legacy security models cannot handle. This isn't an emerging threat; it's an industrialized phishing engine that’s already being weaponized against businesses.

Don't Guess What to Scan: Runtime Scope Ensures Full Production Coverage

Are you confident that you’re scanning for security vulnerabilities on all your software running in production? If this question makes you uncomfortable don’t worry. First, you’re not alone. Second – keep reading. Almost all security teams today face a massive challenge: they’re drowning in data but lack direction.

Selecting the Best UAM Tool: Key Features to Look For

The biggest risk to your organization’s security might be lurking inside your perimeter. That’s why selecting the right user activity monitoring (UAM) solution can make the difference between catching early signs of a threat or suffering damaging security incidents. In this article, we’ll review the features you must demand from an effective UAM tool to secure your organization from within.

Data in the Dark: The Public Sector on the Dark Web

The dark web serves as a refuge for threat actors to gather intel, trade illicit goods and tools, and network with other cybercriminals. Aside from allowing threat actors to connect and learn from other individuals who share the same interests, the dark web facilitates the procurement and peddling of stolen data to make cyberattacks even more effective and nefarious.
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Adapting to an AI-Driven Threat Landscape: The Future of Cyber Defence

As cyber threats grow more advanced, with AI becoming a tool for both cyber attack and defence, the challenge facing businesses has never been more complex. Emerging technology is now making watertight cybersecurity practice a core pillar of operational resilience, data integrity, and customer trust. The path forward lies in strategic AI integration, harnessing its potential to automate defence and accelerate detection, while maintaining transparency, governance, and trust.

Benefits of Smart Contract Development for Enterprises

In today's digital economy, enterprises are looking for ways to automate processes, reduce costs, and build more transparent systems. One of the most effective tools for achieving this is smart contract development. Smart contracts are transforming how businesses operate across industries like finance, logistics, healthcare, and real estate. They also power decentralized applications and crypto wallet development, making them one of the core technologies driving blockchain adoption.

Sweet Security Named Cloud Security Leader and CADR Leader in Latio Cloud Security Report

Sweet Security, a leader in Runtime Cloud and AI security solutions, today announced that it has been recognized as both a Cloud Security Leader and a Cloud Application Detection & Response (CADR) Leader in the 2025 Cloud Security Report by James Berthoty of 'Latio Tech.'