Cyber Security
Data Stealers Are Hunting for User Credentials, Says Kaspersky

As the malware development market continues to flourish with new stealers such as Lumma, for the last three years Redline still remains the dominant data-stealing malware used by cybercriminals. More than half of every device (55%) targeted by password-stealer attacks in 2023 has been infected with the Redline malware, Kaspersky Digital Footprint Intelligence finds.
Infostealers infiltrate devices to illicitly obtain sensitive credentials such as logins and passwords, which are then peddled on the shadow market, posing significant cybersecurity threats to personal and corporate systems. According to information gleaned from log files traded or distributed freely on the dark web, Redline was used in 51% of infostealer infections from 2020 to 2023. Other notable malware families included Vidar (17%) and Raccoon (nearly 12%). In total, around 100 distinct infostealer types were identified by Kaspersky Digital Footprint Intelligence between 2020 and 2023 using metadata from log files.
The underground market for data-stealing malware development is expanding, evident from the rising popularity of new stealers. Between 2021 and 2023, the portion of infections caused by new stealers grew from 4% to 28%. Specifically, in 2023, the new “Lumma” stealer alone was responsible for more than 6% of all infections.
“Lumma emerged in 2022 and gained popularity in 2023, through a Malware-as-a-Service (MaaS) distribution model. This means any criminal, even those without advanced technical skills, can purchase a subscription for a pre-made malicious solution and use this stealer to carry out cyberattacks. Lumma is primarily designed for stealing credentials and other information from cryptocurrency wallets, commonly spread through email, YouTube, and Discord spam campaigns,” said Sergey Shcherbel, an expert at Kaspersky Digital Footprint Intelligence.
To guard against data-stealing malware, individuals are advised to use a comprehensive security solution for any device. This will help prevent infections and alert them to dangers, such as suspicious sites or phishing emails that can be an initial vector for infection. Companies can help their users, employees and partners protect themselves from the threat by proactively monitoring leaks and prompting users to change leaked passwords immediately.
Cyber Security
GISEC Global 2025: Phishing, Data Breaches, Ransomware, and Supply Chain Attacks Causing Challenges

Maher Jadallah, the Vice President for Middle East and North Africa at Tenable, says effective exposure management requires a unified view of the entire attack surface (more…)
Cyber Security
GISEC Global 2025: A Place Where Innovation, Partnerships, and Leadership Come Together

Meriam ElOuazzani, the Senior Regional Director for META at SentinelOne, says, the company will showcase its latest developments in AI-powered security solutions, reinforcing its position as a leader in this area (more…)
Artificial Intelligence
Cequence Intros Security Layer to Protect Agentic AI Interactions

Cequence Security has announced significant enhancements to its Unified API Protection (UAP) platform to deliver a comprehensive security solution for agentic AI development, usage, and connectivity. This enhancement empowers organizations to secure every AI agent interaction, regardless of the development framework. By implementing robust guardrails, the solution protects both enterprise-hosted AI applications and external AI APIs, preventing sensitive data exfiltration through business logic abuse and ensuring regulatory compliance.
There is no AI without APIs, and the rapid growth of agentic AI applications has amplified concerns about securing sensitive data during their interactions. These AI-driven exchanges can inadvertently expose internal systems, create significant vulnerabilities, and jeopardize valuable data assets. Recognising this critical challenge, Cequence has expanded its UAP platform, introducing an enhanced security layer to govern interactions between AI agents and backend services specifically. This new layer of security enables customers to detect and prevent AI bots such as ChatGPT from OpenAI and Perplexity from harvesting organizational data.
Internal telemetry across Global 2000 deployments shows that the overwhelming majority of AI-related bot traffic, nearly 88%, originates from large language model infrastructure, with most requests obfuscated behind generic or unidentified user agents. Less than 4% of this traffic is transparently attributed to bots like GPTBot or Gemini. Over 97% of it comes from U.S.-based IP addresses, highlighting the concentration of risk in North American enterprises. Cequence’s ability to detect and govern this traffic in real time, despite the lack of clear identifiers, reinforces the platform’s unmatched readiness for securing agentic AI in the wild.
Key enhancements to Cequence’s UAP platform include:
- Block unauthorized AI data harvesting: Understanding that external AI often seeks to learn by broadly collecting data without obtaining permission, Cequence provides organizations with the critical capability to manage which AI, if any, can interact with their proprietary information.
- Detect and prevent sensitive data exposure: Empowers organizations to effectively detect and prevent sensitive data exposure across all forms of agentic AI. This includes safeguarding against external AI harvesting attempts and securing data within internal AI applications. The platform’s intelligent analysis automatically differentiates between legitimate data access during normal application usage and anomalous activities signaling sensitive data exfiltration, ensuring comprehensive protection against AI-related data loss.
- Discover and manage shadow AI: Automatically discovers and classifies APIs from agentic AI tools like Microsoft Copilot and Salesforce Agentforce, presenting a unified view alongside customers’ internal and third-party APIs. This comprehensive visibility empowers organizations to easily manage these interactions and effectively detect and block sensitive data leaks, whether from external AI harvesting or internal AI usage.
- Seamless integration: Integrates easily into DevOps frameworks for discovering internal AI applications and generates OpenAPI specifications that detail API schemas and security mechanisms, including strong authentication and security policies. Cequence delivers powerful protection without relying on third-party tools, while seamlessly integrating with the customer’s existing cybersecurity ecosystem. This simplifies management and security enforcement.
“Gartner predicts that by 2028, 33% of enterprise software applications will include agentic AI, up from less than 1% in 2024, enabling 15% of day-to-day work decisions to be made autonomously. We’ve taken immediate action to extend our market-leading API security and bot management capabilities,” said Ameya Talwalkar, CEO of Cequence. “Agentic AI introduces a new layer of complexity, where every agent behaves like a bidirectional API. That’s our wheelhouse. Our platform helps organizations embrace innovation at scale without sacrificing governance, compliance, or control.”
These extended capabilities will be generally available in June.
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