Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why Regular APIs Aren't Safe for AI Agents: A Case for Enhanced Privacy and Controls

APIs are the backbone of modern applications, enabling seamless data exchange between systems. However, the rise of AI agents fundamentally shifts how APIs are utilized. Regular APIs, originally built for deterministic, non-AI use cases, are not inherently designed to handle the complexities and unpredictability of AI-driven applications. Using your regular APIs directly for AI agents or allowing AI agents to integrate without safeguards exposes your systems and data to significant risks.

Top Data Tokenization Tools of 2024: A Comprehensive Guide for Data Security

Data tokenization is a critical technique for securing sensitive information by substituting it with non-sensitive tokens. This process plays a crucial role in data protection, especially in industries handling large volumes of personal or financial information. Here, we explore the top data tokenization tools of 2024 to help organizations find the right solutions for protecting their data.

Snowflake Security Best Practices

Snowflake is a leading cloud-based data warehousing platform that offers businesses a secure and scalable data storage solution. Offered in a Software-as-a-Service or SaaS model, with its unique security architecture, Snowflake provides robust protection for sensitive data, making it a preferred choice for enterprises dealing with compliance-sensitive workloads.

Unlocking MSP Success: The Power of AI and Trusted Partnerships

The cybersecurity landscape has evolved dramatically, placing IT managers under pressure to adapt. A 168% rise in evasive malware detected by WatchGuard in Q2 2024 underscores this shift, with threat actors following behavioral patterns and adopting attack techniques that become popular and dominate in waves.

Best practices for monitoring LLM prompt injection attacks to protect sensitive data

As developers increasingly adopt chain-based and agentic LLM application architectures, the threat of critical sensitive data exposures grows. LLMs are often highly privileged within their applications and related infrastructure, with access to critical data and resources, making them an alluring target for exploitation at the client side by attackers. In particular, LLM applications can be compromised to expose sensitive data via prompt injection attacks.

AI Governance and Global Cyber Resilience

In this episode of CISO Conversations: EU Data Regulations, Richard Cassidy, EMEA Field CISO at Rubrik, is joined by Anu Bradford, Professor of Law at Columbia Law School, and Bronwyn Boyle, Chief Information Security Officer at PPRO. They discuss the importance of resilience and regulatory compliance as critical factors for organizations to manage their cyber threats and bolster cyber defense.

Step 2. How to automatically generate fuzz tests with LLMs

Creating high-quality fuzz tests is essential for efficient fuzz testing. However, crafting these tests is a time-consuming, manual process, which has become a major barrier to the widespread adoption of fuzz testing. Watch the video to see how CI Fuzz can automatically generate high-quality fuzz tests by leveraging LLMs and static analysis.

How AI-Powered Digital Signage is Enhancing Customer Experience

In the early years of the 21st century AI digital signage software has become and is increasingly a transformative force in the way that businesses choose to interact with their customer. Businesses strive to create more personalized, dynamic experiences that cater to more individual needs and preferences in real time. Through analyzing gathered customer data and updating/adjusting content in response, retail spaces, hospitality venues and public transport hubs alike can be taken to the next level.

The Rise of Security in Today's Technology Era

In today's connected world, security is one of the most crucial fears for both people and institutions. With the increase in internet use, digital transformation as well as new technologies such as cloud computing and the Internet of Things (IOT), cyber threat attack surface has increased substantially. Cybercriminals, hackers, and other malicious actors are increasingly faced with the need to secure these assets from them as more data and processes go online, thus making it a more complex endeavor.