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The Rise of AI Agents in the Enterprise

AI Agents have become indispensable in modern enterprises, driving efficiency, innovation, and competitive advantage. These agents, which can perform tasks ranging from simple automation to complex decision-making, are transforming how businesses operate. The adoption of AI agents is widespread, with companies leveraging them to enhance customer service, streamline operations, and gain insights from vast amounts of data.

Take Control with Torq's AI Data Transformation

Data interoperability is the backbone of building reliable and efficient hyperautomated workflows. However, manipulating and formatting massive amounts of data from various sources — especially in complex JSON files — can feel overwhelming and consume significant time and resources, particularly for those still gaining technical expertise. Teams often lack or have maxed out dedicated resources to wrangle this data.

Navigating AI Governance: Insights into ISO 42001 & NIST AI RMF

As businesses increasingly turn to artificial intelligence (AI) to enhance innovation and operational efficiency, the need for ethical and safe implementation becomes more crucial than ever. While AI offers immense potential, it also introduces risks related to privacy, bias, and security, prompting organizations to seek robust frameworks to manage these concerns.

How Healthcare Companies Can Share Data Safely for Offshore Testing and Development

Data sharing for offshore testing, development, and other operational needs is often essential in the healthcare industry. Yet, laws governing Protected Health Information (PHI) make this challenging, as sending sensitive data outside the U.S. can introduce significant regulatory risks. To stay compliant, healthcare companies need solutions that can anonymize data without compromising its usability or accuracy.

T(AI)WANted: How the global surge in AI likely caused an increase in Taiwan-targeted cybercrime

Initial access brokers (IABs) facilitate access for ransomware groups, data brokers, and advanced persistent threat groups (APTs) into corporate networks. They operate in an established, lucrative market, often on cybercriminal forums which are characterised by rigid rules and conventions. Our report explaining the illicit activities of IABs can be viewed here.

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.

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.

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.