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Cyber Security

Is Consent the Gateway to Ethical Data Usage Practices?

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Every tech company under the sun is grappling with data privacy and protection policies and laws. However, consent is crucial when it comes to data collection and processing. Having the user’s consent to use their data is imperative. While securing the data after collection is also important, using customer data without their consent causes more serious issues. Without obtaining consent from the user, any data that you use for your business falls under the unlawful use of data regulations.

Users of the well-known platform Glassdoor, which allows individuals to anonymously review their employers, allege that the site collected and linked their names to their profiles without their permission. Glassdoor users have expressed alarm, and the issue has been widely featured on social media and news-sharing sites. They fear that their anonymity could be compromised if data about them is collected and added to their profiles.

The issue here boils down to a single word: consent.

The gray area of obtaining consent
Organizations can knowingly or unknowingly exploit users’ personal data without proper knowledge of data privacy. It is not enough just to get consent from users; explicit consent is required. This includes ensuring the user selects checkboxes during the signup process, enters their email address, authorizes receiving marketing emails and newsletters, and grants the app permission to track user data in specific situations.

But when it comes to verbal consent, there is ambiguity. The GDPR accepts verbal consent but requires written or recorded proof of the consent given. The GDPR states that, “when requested by the data subject, the information may be provided orally, provided that the identity of the data subject is proven by other means.” Therefore, it is better to record or have written proof of verbal consent; one must not assume or misunderstand that verbal consent only includes oral consent.

Often, there is less visibility of data usage for customers. More often than not, customers do not know what they are giving consent for or how their data will be used. Let’s take the case of location data sharing.

Location data can show if someone visited an abortion clinic or a cancer treatment center. People usually want to keep this type of information private and not share it with companies or third parties. When consent is given without knowing what it is for, the act of giving or obtaining consent becomes meaningless.

Why consent is important in ethical data practices
Although you are legally required to obtain the user’s consent to process their data, there is also such a thing as the ethical use of data. When you take measures to protect your customers’ data beyond what the law requires, it promotes trust among your customers.

People value privacy and appreciate brands that prioritize data privacy. Let’s say a consumer is given the option to choose between two brands: one with no privacy features and another that advocates for privacy with built-in privacy features. Which do you think the customer will choose? Obviously, the latter.

Understanding a company’s data privacy policy is crucial to 85% of consumers—even before they make a purchase, a global study determined. Equally as important, 40% of individuals have changed brands after discovering that a company failed to protect customer data adequately, according to the McKinsey Global Survey on Digital Trust.

This is why tech companies go out of their way to demonstrate the privacy features they offer and how user consent is prioritized in these features.

In a way, customers prioritizing consent compels companies to integrate ethical data privacy policies into their systems. But it’s time companies realize that consent is the backbone of data privacy regulations and take customer consent seriously, not just to avoid hefty fines, but to also value the customer’s choice and their right to privacy.

A final word
Organizations worldwide are facing issues with data privacy. What is important when trying to protect your customers’ data is to realize the role customer consent plays. This helps organizations develop features and draft policies with the customer’s consent in mind and to effectively communicate to the customers why they are seeking consent. Without this step, data privacy becomes compromised. So, both organizations and customers need to grasp why consent matters and advocate for the ethical processing of data.

ManageEngine is a division of Zoho Corporation that provides comprehensive on-premises and cloud-native IT and security operations management solutions for global organizations and managed service providers. ManageEngine strongly believes in privacy by design and continuously advocates for user privacy. Established and emerging enterprises—including nine of every 10 Fortune 100 organizations—rely on ManageEngine’s real-time IT management tools to ensure the optimal performance of their IT infrastructure. Learn more about ManageEngine’s comprehensive suite of IT management solutions here.

Cyber Security

GISEC Global 2025: Phishing, Data Breaches, Ransomware, and Supply Chain Attacks Causing Challenges

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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…)

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Cyber Security

GISEC Global 2025: A Place Where Innovation, Partnerships, and Leadership Come Together

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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…)

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Artificial Intelligence

Cequence Intros Security Layer to Protect Agentic AI Interactions

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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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