DEV Community: SEQRITE

Identity Is the New Perimeter: Seqrite Reveals Why Password-Based Systems Will Fail Indian Enterprises in 2026

SEQRITE — Mon, 20 Apr 2026 14:02:15 +0000

Driven by The India Cyber Threat Report 2026, this blog explains how AI-powered attacks and identity misuse are replacing traditional security models. Passwords are becoming obsolete click here to explore why zero-trust identity strategies are critical for Indian enterprises in 2026.

Digital Security Trends: India Threat Report 2026 Deep Dive

SEQRITE — Thu, 16 Apr 2026 11:31:04 +0000

Dive into digital security trends with the India threat report data. Read this report to explore cybersecurity trends, ransomware attacks, malware threats, phishing scams, data breaches, and AI-driven cyber risks while learning how businesses can strengthen endpoint security and stay resilient.

What the DPDP Act Means for Data Handling in Indian Organisations

SEQRITE — Wed, 15 Apr 2026 11:19:34 +0000

Indian enterprises stand at a pivotal moment in their data-governance journey. With the DPDP Act India coming into force, organisations can no longer treat data privacy as a compliance checkbox. The law redefines how companies collect, process, store, and secure personal data. As cyber risks escalate and digital ecosystems expand, leaders must adopt stronger, intelligence-driven security and governance frameworks.

Understanding the Purpose of the DPDP Act

The DPDP Act India establishes a strong legal foundation for protecting personal data in the digital economy. The government created this law to:

Give citizens more control over how organisations use their data
Promote responsible data-processing practices
Improve transparency in data collection
Enhance accountability across public and private entities
Strengthen cybersecurity and trust in digital services

In essence, the Act aims to balance innovation with privacy protection—creating a safer environment for digital transactions, critical infrastructure, and enterprise operations.

Key Changes Indian Businesses Must Prepare For

The data privacy law in India introduces several structural shifts that directly impact enterprise data-management processes:

1. New Definitions And Responsibilities
The Act clearly defines responsibilities for:

Data Fiduciaries – organisations that determine the purpose and means of processing personal data
Data Processors – third parties handling data on behalf of the Data Fiduciary Large companies, banks, and entities that manage high-volume personal information may also be classified as Significant Data Fiduciaries, which means they are obligated to create and adhere to compliance requirements that will also apply to Data Fiduciaries.

2. Explicit Consent as a Mandatory Requirement
Organisations must obtain clear, informed consent for all personal data processing. Consent forms require simplicity, purpose clarity, and the ability for individuals to withdraw at any time.

3. User Rights and Redressal
The law grants individuals:

The right to access their personal data
The right to correct or erase data
The right to grievance redressal through designated officers

Enterprises must operationalise backend systems to fulfil these requests efficiently.

4. Data-Breach Reporting Obligations
Organisations must notify the Data Protection Board and affected users of breaches. This increases the need for real-time detection, rapid response, and transparent communication.

How the DPDP Act Reshapes Data Handling Requirements

To comply with the DPDP Act India, companies must implement effective, secure and auditable methods for managing data. This includes:

1. Purpose, Limitation & Data Minimisation
Keep only the data needed to fulfil your business purpose. This will minimise any risk exposure and support your company's governance.

2. Secure Processing & Storage
Companies must protect their data by utilising the following methods:

Encryption
Access control & identity management
Network-level protection
Active monitoring
Ability to respond to breaches

AI-enabled platforms such as Seqrite’s Endpoint Protection, EDR/XDR, Data privacy solutions, and Zero Trust Network Access are designed to support these needs through real-time threat intelligence and Cybersecurity Mesh Architecture principles.

3. Data Localisation & Cross-Border Sharing
Organisations must validate whether cross-border transfers meet government-approved conditions. Sensitive data may require stronger controls or localisation.

4. Data Retention & Erasure
Companies must establish a timeline for data retention and automated workflows for data deletion. In addition, companies must ensure that they have securely disposed of data once it is no longer required.

Essential Compliance Considerations for Indian Enterprises

To operationalise compliance, organisations should focus on:

1. Conducting a Data Audit: Discover, classify, and map all personal data across endpoints, networks, and cloud environments.
2. Securing Cybersecurity: Leverage next-generation threat detection and response mechanisms to support secure operations from start to finish.
3. Applying Zero-Trust Controls: Implement identity-based protections, verify devices and continuously evaluate access.
4. Building Governance Workflows: Integrate consent management, user-rights fulfilment, data-handling SOPs, and breach-response mechanisms.
5. Training Teams: Ensure employees understand their responsibilities regarding consent, privacy, and the secure handling of personal information.

Conclusion

The data privacy law India is more than a regulatory obligation—it is an opportunity for organisations to strengthen digital trust, reduce cyber-risk exposure, and build resilient operations. Enterprises that take a proactive approach will not only comply but also enhance customer confidence and operational integrity.

Seqrite empowers businesses to simplify DPDP compliance by protecting devices, identities, networks, data, and cloud workloads end to end.

Ready to strengthen your data-handling framework? Connect with Seqrite’s cybersecurity experts today.

Why DPIA Is Critical for DPDPA Compliance in India’s Digital Economy

SEQRITE — Mon, 06 Apr 2026 10:38:56 +0000

Since India is advancing rapidly toward a fully digital economy, businesses now find themselves in a world where data-driven innovation, processing large volumes of personal information, and utilising artificial intelligence-enabled technologies (i.e., automation) are commonplace. With the Digital Personal Data Protection Act (DPDPA) having established a new standard for data governance, companies need to strengthen their processes for evaluating, monitoring, and understanding privacy risks when handling data. Data Protection Impact Assessments (DPIAs) have therefore become a very important mechanism for providing evidence of responsible data processing and ensuring that companies meet their compliance obligations.

A DPIA not only demonstrates to regulators an organisation's accountability, but also provides it with tools to build privacy into its day-to-day business operations, well in advance of risks developing into issues such as data breaches, penalties, or loss of reputation.

When Is a DPIA Mandatory Under DPDPA?

DPDPA requires a DPIA for all processing activities that may create 'significant' risks to data principals' rights. Entities should conduct a DPIA when:

Using new technology that utilises large quantities of personal or sensitive data.
Undertaking large, automated data-processing, profile or behavioural analytics.
Transferring, relocating, sending, receiving or processing large quantities of personal data between countries or locations.
Implementing new digital services and platforms that collect or capture individual-level insight.
Managing a high-risk environment (e.g. finance, health, insurance, transport/mobilit y, providing services to citizens, etc.). In general, whenever data processing could materially affect privacy, safety, or the autonomy of individuals, a DPIA is required for compliance.

Key Steps to Identify and Assess Risks

Structured governance, documentation, and risk assessments are all critical components of a robust DPIA process. A methodology for enterprises to use in developing their DPIAs is presented below:

1. Define Processing Purpose
Clarify how processing purposes relate to business objectives, what data will be collected, and why.
2. Map Data Flows
Document how personal data is transmitted, stored, and used across devices, applications, networks, workloads in the cloud, and with third parties.
3. Identify Risks to Data Principals
Examine the potential for unauthorised access or misuse of personal data, inaccurate or excessive data collection, and whether consent methods operate correctly.
4. Assess Technical and Organisational Safeguards
Evaluate current controls, including access management, encryption, data minimisation, incident response, and retention policies.
5. Recommend Mitigation
Bridge identified gaps with Zero Trust principles, continuous monitoring, incident detection, and secure-by-design engineering practices.
6. Obtain Approval and Conduct Periodic Review
Obtain validation of the DPIA from senior management and update the DPIA as required whenever any system or processing activity changes occur.

Industry Use Cases Where DPIA Is Essential

Several industries depend on DPIA to manage both regulatory and operational risks:

Banking, financial services, and insurance: Fraud analytics, credit scoring, digital onboarding
Healthcare: Telemedicine, EHR platforms, biometric and diagnostic processing
Retail & eCommerce: Personalised recommendations and loyalty programmes
Manufacturing: Smart factory IoT telemetry
IT/ITeS: High-volume data p rocessing for clients across geographic areas

Because so many enterprises in these industries handle large volumes of personal data, DPIA is critical for both compliance and customer trust.

Common DPIA Mistakes Enterprises Need to Avoid

Treating DPIA as a “one-off” document exercise
Not consulting stakeholders or internally having cross-functional reviews.
Focusing on 'compliance' instead of on real operational risks
Not realising the complexity associated with third-party data sharing
Putting off comp leting a DPIA until after deploying new technologies or platforms

DPDPA Compliance Checklist for DPIA

A sound approach to DPIA includes:

Clearly defining the purpose and the lawful ground for processing the data.
Making sure only the minimum amount of data is processed by users who require access based on their job function
Making sure that any data that is in transit or at rest is encrypted
Ensuring that all end users and infrastructure hardware and software (including cloud workloads) are secured
Performing thorough vendor risk assessments
Being ready for incidents and having the ability to create an audit trail
Continuously monitoring for issues using AI to aggregate and interpret threat data

Seqrite’s cybersecurity portfolio helps enterprises operationalise the results of their DPIA and create a compliant, resilient digital business.

Summary

The growth of India’s digital ecosystem makes it more important than ever to conduct a DPIA. In fact, adopting proactive risk assessments and a privacy-by-design framework will position enterprises ahead of competitors in terms of trust, compliance, and security maturity.

If you need help developing your DPDPA compliance strategy, contact Seqrite’s cybersecurity professionals now.

Data Discovery Management: Finding Sensitive Data Before Regulators Do

SEQRITE — Tue, 31 Mar 2026 09:14:25 +0000

Data breaches are rapidly increasing, creating an uncomfortable reality for organisations. They cannot efficiently mitigate breaches without visibility into their data. An organisation can discover and classify these risks early on through a comprehensive Data Discovery Management program, which can help to comply with regulations and avoid future liabilities.

For IT and security leaders, a data discovery management programme is essential; it is no longer optional.

The Rising Risk of Shadow Data in Modern Enterprises

Data sprawl has increased dramatically due to digitisation, remote work and the adoption of multiple cloud platforms. Files, logs, backups, and datasets are stored on email, collaboration platforms, unmanaged endpoints, and in development environments, and a large portion of these documents lack policies or procedures.

The increasing number of shadow data breaches creates several different risks:

1) Storing sensitive data in unsanctioned SaaS applications.
2) Leaving PII/PHI in temporary storage, staging environments and shadow IT resources.
3) Duplicating datasets across multi-clouds.
4) Having orphan files with outdated permissions.

Regulatory bodies do not distinguish between willful negligence and lack of visibility. If your organisation maintains sensitive data, you are responsible for its security, whether or not you are aware of it.

Why Automated Data Discovery Tools Are Now Business-Critical

Enterprise-level manual discovery efforts have proven unsuccessful due to the exponential growth of both structured and unstructured data across platforms and environments. AI-based automated discovery tools can provide security teams with the visibility they require.

Through the use of advanced discovery engines, it is possible to:

• Scan various file systems, endpoints, email servers, cloud buckets and databases.
• Identify sensitive data patterns - PII, financial data, credentials, and health records.
• Find misconfigurations, open access and violations of Policy.
• Track data movement and identify high-risk propagation paths.

Other platforms, such as Seqrite, created by Quick Heal Technologies, leverage resources from Seqrite labs (intelligence, behavioural analysis, and threat Intelligence) to supplement this automation. These additional resources increase accuracy, reduce false positives, and speed up the time to resolve issues.

Building a Strong Data Classification Framework

Just discovering the data is not enough. Companies need to understand what they have and its significance. Data classification provides the framework to determine what should be prioritised, how to govern access, and how to align with compliance.

An effective classification model often consists of:

(1) Sensitivity Levels

Public
Internal
Confidential
Restricted (2) Data Categories
Personally Identifiable Information (PII)
Financial and transactional data
Intellectual property, source code and research material
Customer, vendor and employee information (3) Mapping to the Business Context
Connects data sets to business processes, risk owners and regulatory entities (i.e., Digital Personal Data Protection Act (DPDPA), HIPAA and PCI-DSS.) (4) Automation-First Strategy
Use of tools to automate the classification process as the data is created, shared, or moved, therefore minimising human error while maintaining compliance through continuous and consistent application of the classification model.

Having a well-documented classification framework enables companies to manage and allocate their resources in the areas of greatest risk exposure.

Designing a Proactive Remediation Plan

After you identify and categorise your data, you must mitigate vulnerabilities quickly and consistently.

The key actions for remediating vulnerabilities include:

Encrypting sensitive datasets
Restricting user access to data by role and using a Zero Trust approach
Removing duplicate, redundant, and unnecessary data (ROT)
Applying retention policies that comply with relevant laws and regulations
Masking or tokenising sensitive fields for use in testing/analytics
Consistently monitoring for violations of policies, excessive access permissions, and data drift.

The security team will get the greatest benefit (and the most significant risk reduction) from discovery, classification, and remediation operating as a single process (workflow) rather than three separate processes (silos).

Strengthening Audit Readiness with Continuous Data Governance

Now, regulatory audits are no longer just performed each calendar year - they are being done continuously. They are subject to heightened scrutiny regarding documentation and evidence, as well as clear evidence of your ability to control.

Data Discovery Management has a critical role in making sure you are ready for an audit by providing:

Continuous visibility into where your sensitive data resides
The ability to report your compliance with evidence-based reporting
Automated logs of the activities occurring with your data
Continuous enforcement of your policies
The ability to respond quickly to a regulator's inquiry

As more and more scrutiny is being placed on companies by the DPDPA Act in India and other global privacy laws, the ability to say at any time, "I am ready for an audit," has now become the new competitive advantage - and no longer simply a requirement for compliance.

Conclusion: Protect Yourself Before a Regulator Finds Your Gaps

Enterprises that invest in data discovery management will reduce the size of their attack surface, improve their governance, and reduce their risk of non-compliance. The rise in data volume requires automated discovery, strong classification, and intelligent remediation as the building blocks of the future of cybersecurity.

To have a proactive regulator-proof data protection framework become the new standard for your organisation, now is the time to strengthen your understanding of data discovery and classification capabilities.

To learn how we can help your enterprise identify, protect and govern your sensitive data across a complex IT landscape with our advanced data security solutions, please contact us. Together, we will build a foundation for a future-proof data protection framework.

Quick Heal Technologies Limited Signs Landmark MoU with BHASHINI to Bridge Cybersecurity and Data Privacy Language Barriers

SEQRITE — Thu, 26 Mar 2026 10:40:06 +0000

Quick Heal Technologies partners with BHASHINI to enhance Cybersecurity and Data Privacy awareness in regional languages click here empowering millions with accessible digital safety knowledge and bridging language gaps across India’s diverse user base.

Why Indian Enterprises Are Moving to XDR Platforms in 2026

SEQRITE — Tue, 24 Mar 2026 09:40:46 +0000

An extraordinary level of advanced cyberattack activity is occurring in Indian organisations, with attackers employing sophisticated techniques and advanced AI malware, and expanding their hybrid infrastructure. Therefore, traditional security stacks are unable to keep up with this evolving threat landscape.

In response to increasing attack activity, more and more enterprise CISOs are looking to the XDR platform model to achieve stronger detection, response, and resilience.

This transition will accelerate rapidly across the mid-market and large segments of the Indian business market over the next two years (by 2026) as companies seek to gain unified visibility into their environments, automate processes, and improve their ability to prevent and respond to security threats at scale.

The Limits of EDR in a Distributed Enterprise

Endpoint Detection and Response (EDR)]has historically been a key component of a security strategy. However, modern threats have become increasingly sophisticated, and many attacks no longer remain endpoint-based; they can move across networks and between on-premises and cloud environments by exploiting cloud misconfigurations and targeting user identities.

The EDR limitations include:
Lack of visibility beyond endpoints (not monitoring networks or users) creates visibility gaps.
Overwhelms security teams with a high volume of uncorrelated alerts (alert fatigue).
Cannot correlate "kill-chain" activities across multiple hybrid environments, where an attack can take place.
Relies heavily on security analysts, which significantly delays investigations.

Therefore, all organisations that currently rely solely on EDR will likely be unable to compete with adversaries that leverage coordinated/multi-vector attack approaches.

Why the XDR Platform Model Works Better

XDR solutions represent the next evolution of threat detection, combining endpoint, network, and cloud telemetry—to name a few—into an integrated AI- and machine-learning-orchestrated approach that leverages multi-layered analytics and real-time threat intelligence to provide enhanced threat detection.
Advantages of XDR include:
1. Cross-domain correlation
XDR links multiple domains together to identify advanced attackers that no single solution could detect.

2. Automated investigation and response
Machine-learned correlation and automated or guided response playbooks take much of the workload off analysts and accelerate their response time.

3. Improved detection of sophisticated attacks
XDR leverages behavioural patterns across the kill chain to detect ransomware, insider threats, and zero-day vulnerabilities early, reducing the likelihood that these attacks result in a breach.

4. Higher degree of integration with existing infrastructure
By adopting an integrated response engine, companies can avoid maintaining disparate solutions across their security stack and achieve a seamless end-to-end response.

For these reasons, organisations in the BFSI, IT/ITeS, Manufacturing, and Government sectors in India are increasingly viewing XDR as an essential cybersecurity capability.

Unified Visibility: The Real Game Changer

As hybrid and multi-cloud systems grow, finding what you do not see can pose the greatest risk.
An XDR solution collects data on many different types of telemetry, including:

Endpoints/servers
Network traffic
Cloud workloads
Identity/access systems
Email and collaboration

One major benefit of using an XDR system is that it provides a single view of everything happening across your organisation, removing the burden of having many different tools; this also enables quicker decision-making and better forensic investigation during incidents.

Cost vs Value: Why XDR Delivers Better ROI

Businesses in India that are mindful of buying on a budget typically view XDR as being very pricey; however, if we look at the value equation, the reality is:

Lower operating expenses for teams, as they need to maintain only one tool rather than multiple disjointed tools.
Reduced costs associated with breaches due to faster detection and response, preventing lateral movement of the threat and loss of data.
Licensing efficiencies by consolidating vs. having multiple redundant products and paying subscription overhead.
Higher-quality security outputs due to real-time event correlation, cutting down on false-positive alerts and making the SOC team more efficient in their response.

CIOs who are looking ahead see that XDR is not just another tool; it is a strategy to consolidate and deliver better security outcomes at an acceptable cost.

The 2026 Adoption Roadmap for Indian Enterprises

The phased approach taken by most enterprises moving to XDR in 2026 includes these four steps:

1. Analysing the Security Stack
The first step will be to evaluate your existing security stack to identify tool redundancy, excessive false positives across the network, or the absence of contextual information.

2. Integration of Endpoint Protection (EP) and EDR
The next phase is consolidating the endpoint protection agent architecture to standardise and deploy a protected endpoint that includes both endpoint protection (EP) and solutions focused primarily on the detection and resolution of cyber incidents.

3. Integrating Network, Identity, Email, and Cloud Telemetry
The key element of the third phase of this effort will be integrating your four primary attack vectors (network, identity, email, and cloud) into a single platform, providing increased visibility across all four.

4. Enabling Automated Play Books
Adopt playbooks that guide users through the response process and automate repetitive tasks.

Conclusion

Indian enterprises are adopting XDR platforms at an increasing pace in 2026 to address the growing sophistication of cyber threats, unify security operations, and build long-lasting resilience. With its AI-driven data collection and analytics capabilities, improved cross-domain visibility, and integrated response capabilities, XDR represents the only viable means of modernising cybersecurity infrastructure in today's complex, hybrid environments.

Seqrite (through the enterprise services provided by Quick Heal Technologies Limited) provides an XDR solution utilising threat intelligence from Seqrite Labs, designed to scale to meet the needs of both Indian and global enterprises.

Are you ready to improve your cybersecurity strategy? Explore Seqrite's AI-driven XDR and protect your organisation into the future.

DPDP Solutions in 2026: What Indian Businesses Must Implement Now

SEQRITE — Tue, 17 Mar 2026 07:19:38 +0000

The Digital Personal Data Protection Act (DPDPA) of India is scheduled to come into effect in 2026. Every business (IT/ITES, BFSI, Healthcare, Manufacturing, Retail, and Government) has clear-cut requirements for safeguarding individual personal data, implementing consent as required by law, and governing that data transparently. For the CIO, CISO, and Data Protection Officer, the time is now to take the necessary action to implement DPDP or risk regulatory fines, reputational harm, and operational disruption.

DPAI 2026 Enforcement: What’s Changing

The Data Protection Authority of India (DPAI) is expected to enhance their level of oversight beginning in 2026, with the following areas of concentration:

Verification of organisations/individuals providing Data Fiduciary services, readiness to comply with the provisions of the DPDP Act
Evaluation of the organisational/individual’s breach response maturity
Reviewing and assessing how they handle cross-border data exchanges
Enforcement actions for not obtaining consent, limitations on the use and sharing of the data being collected by organisations/individuals
Increased scrutiny of SDF (Significant Data Fiduciaries) organisations and individuals

For businesses, this is a clear and straightforward message: implement DPDP solutions that deliver ongoing compliance, not just documentation compliance.

Common Compliance Gaps Holding Organisations Back

Rising awareness of these issues is having little impact on the ability of Indian businesses to meet their compliance obligations:

1. Lost data objects/inventories
Lack of real-time understanding about where personal data is located, including endpoints (devices), storage (e.g., servers), cloud workloads and mobile apps.

2. Ineffective consent management/cycle control
Manual processes for tracking consent will not work, at scale, especially across multiple touchpoints and consent journeys.

3. Unsecured data movement across hybrid environments
As businesses shift to cloud computing, consumers are using SaaS applications and mobile devices to store large amounts of personal information and transfer personal data between different environments without sufficient security measures in place.

4. Slow to detect and respond to breaches
Under DPDPA, organisations must report a breach as soon as possible. However, the vast majority of organisations cannot detect breaches quickly enough to satisfy this requirement.

5. Lack of proper identity/access controls
Using legacy access control models exposes sensitive information to unnecessary people or third-party organisations due to a lack of properly implemented identity and access management practices.

These gaps clearly indicate that organisations need DPDP Compliance Solutions that are technology-based, automated, and intelligence-driven.

DPDP Solution Checklist for Indian Enterprises in 2026

The need for a current compliance framework is obvious - it must encompass the entire lifecycle of data, including all aspects of compliance with laws governing data protection. Therefore, the following checklist is intended to serve as a working/present-day checklist for use by Chief Information Officers (CIOs).

1. Data Discovery and Classification
Automated discovery and classification processes will scan endpoints (e.g., computers, servers, cloud platforms, and mobile devices).
Labelling personal data and sensitive personal data during its discovery phase.
Continuously updating the data discovery inventory.

2. Consent and Preference Management
A single, unified dashboard for capturing, tracking and revoking user consent.
Integration with customer-facing applications.
Securing logs of consent for possible future audits.

3. Data Minimisation and Purpose Governance
Mapping all processing activities associated with a specific purpose for which they were collected.
Automated alerts for any risky, unauthorised or excessive collection of data.
Enforcement of data retention and destruction practices.

4. Security Controls
Protection of endpoints must extend from end to end, including XDR capabilities for proactive threat detection.
Utilisation of zero-trust network access controls to ensure secure access to applications.
Documenting governance of mobile devices and applications through BYOD environments.
Encrypting data in transit and complying with cross-border data transfer regulations.

5. Detection of Breach and Incident Response
Employing AI tools to monitor threat data and trends to recognise risks before they manifest themselves.
Receiving real-time notifications when there is an indication of any risk, and implementing automated incident workflow processes.
Providing forensic reporting capabilities and assistance when filing reports related to Data protection breach incidents (DPBIs).

6. Readiness to Audit and Report
Log keeping/auditing/dataset logs/processing data logs as required; etc.
Dashboards are designed to comply with specific DPDPA requirements, enabling independent monitoring of compliance and related activities.

Why Automation Matters for DPDP Compliance

Compliance frameworks that rely on human intervention are unable to handle the large volume of data transferred and processed within the enterprise. Automation provides organisations with several key benefits:

Quick response to breaches with fewer false positives
The ability to classify data accurately and in real-time across hybrid IT environments
Automatic reporting on compliance status without having to perform manual work
Reduced reliance on IT teams to maintain operations
Stronger enforcement of Zero Trust controls

Organisations can continue to meet regulatory requirements even as their data volumes increase.

Your 2026 Action Plan: How to Move Forward Now

Conduct a full data protection assessment.
Implement enterprise-ready DPDP solutions (including discovery, governance, and security)
Establish a unified Zero Trust and extended detection and response (XDR) defence strategy across endpoints, cloud, and user accounts.
Automate workflows for consent, retention, and breach
Establish a governance team and assign clear responsibilities and accountability.
Select a cybersecurity provider to assist with both compliance and threat defence efforts.

Conclusion

If companies in India adopt data protection practices by 2026, they will build customer trust, improve security, and become more resilient organisations. The use of DPDP and other similar solutions supported by AI, automation and sophisticated threat intelligence will enable organisations to move beyond a numbers game to achieve true, measurable levels of governance and protection.

Seqrite offers an end-to-end solution for DPDP compliance across all aspects, from data protection to Zero Trust access, endpoint security, threat detection, and privacy governance, leveraging deep threat intelligence from Seqrite Labs.

Are you prepared to accelerate your DPDP compliance path? Contact Seqrite's enterprise cybersecurity specialists today!

India Cyber Threat Threat Report India 2026: Key Security Insights

SEQRITE — Mon, 09 Mar 2026 07:59:35 +0000

India’s cybersecurity landscape is rapidly evolving with new malware, ransomware, and AI-driven attacks emerging every year. This threat report India highlights key trends, attack patterns, and security insights affecting organizations. Read this report to understand the latest threats and how businesses can strengthen their cyber defense strategies.

How EDR Helps Enterprises Stop Advanced Cyber Threats

SEQRITE — Thu, 19 Feb 2026 06:46:04 +0000

Organisations today operate in an environment where cyber-attacks evolve much faster than traditional security controls can keep pace. Ransomware actors, supply-chain attacks that target trusted software providers, and the use of legitimate (but internally) tools and services to bypass basic security controls are just a few examples of this rapid evolution. As companies modernise their digital footprint (through cloud, mobility, and distributed work), they expose an ever-increasing attack surface for attackers to exploit.

In this environment, Endpoint Detection and Response (EDR) cybersecurity solutions are critical. EDR solutions are designed to help security teams identify and contain advanced threats that bypass preventative security tools, while also providing the visibility and speed necessary to protect modern enterprises effectively.

The New Face of Enterprise Threats

Cyber threats have changed – Gone are the days when attackers relied solely on malware signatures or brute-force methods to carry out their attacks – Now attackers use stealthy, multi-stage approaches that blend in with everyday activity. The current challenges in the enterprise landscape include:

Ransomware as a service (RaaS) models, which allow for the automation of discovery, exploitation, and extortion;
Fileless attacks where malicious payloads are executed in memory;
Zero-day vulnerabilities that have been weaponised long before a patch is available;
Insider-driven compromises where credentials have been misused or stolen;
Risks with a hybrid workforce where endpoints are operating outside the protection of corporate perimeter boundaries.

While traditional antivirus tools are effective at detecting known threats, they are not equipped to track behaviour, correlate anomalous activity, or respond to incidents in real time. As a result, enterprises will require an advanced/proactive/intelligent/continuously deployed security capability.

Why EDR Cybersecurity Is Now Essential

Organisations can use Endpoint Detection and Response (EDR) to detect, respond to, and remediate threats across all endpoints (laptops, servers, virtual machines, and mobile devices). Modern EDR solutions, like EDR/XDR from Seqrite, based on Cybersecurity Mesh Architecture principles, provide a multi-layered approach powered by artificial intelligence/machine learning (AI/ML) and contextual threat intelligence from Seqrite Labs.

EDR enhances an organisation's overall security through the following methods:

1. Continuous Monitoring and Behavioural Detection
EDR monitors all endpoint activity in real time - including process execution, file execution, registry keys, and network connections. Additionally, it identifies patterns of malicious behaviour that are undetectable by signature-based tools.

2. Rapid Incident Response
Once an EDR detects a threat, security teams can take immediate action to isolate affected devices, terminate malicious processes, quarantine potentially malicious files, or prevent communication between compromised devices and attackers. The faster a response to a threat, the less time the attacker has to dwell within the affected organisation and expand their attack surface.

3. Deep Forensics and Root Cause Analysis
EDR collects telemetry from all endpoints, helping security teams understand how an incident began, its effects, and how to prevent similar incidents in the future. This level of visibility is critical for enterprises that are managing multiple distributed assets.

4. Threat Hunting Capabilities
Information security professionals can use EDR to proactively hunt for both Indicators of Compromise (IOC) and Indicators of Attack (IOA) across all endpoints. In addition to the IOCs and IOAs generated by EDR, EDR users also have access to Seqrite's threat intelligence feeds, which can help organisations identify new threats before they escalate.

Business Outcomes: How EDR Transforms Enterprise Security

Investing in EDR cybersecurity results in strategic security benefits that increase resilience.

Strengthened Defences Against Ransomware

EDR detects lateral movement, privilege escalation, and encryption attempts early, helping prevent the full impact of ransomware.

Reduction of Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR)

Automated detection and procedure-guided workflows speed up decision-making for security operations centre (SOC) teams.

Reduction of Operational Costs

Increased visibility reduces investigation hours, improves response prioritization and analyst efficiency, and minimizes time lost due to breaches.

Improved Regulatory Compliance and Audit Preparedness

Detailed logging, forensic reporting, and incident evidence help meet governmental requirements across industries.

Conclusion: EDR Is No Longer Optional — It Is a Core Cyber Defence Layer

In short, the importance of EDR capabilities within an overall cyber defence strategy cannot be overstated. Today's enterprises can't rely solely on preventive measures; they need capabilities to monitor in real time, perform intelligence-driven analytics across their entire enterprise, and provide responsive control to mitigate risks.

Thanks to Seqrite's advanced EDR solution, powered by Artificial Intelligence (AI) and Machine Learning (ML), and threat intelligence from Seqrite Labs, enterprises are empowered with unparalleled visibility, speed, and actionable insight into every endpoint across the organisation. As threat actors evolve and expand their operations, it will be vital for organisations to mature their cyber defence capabilities appropriately.

It is time to modernise your endpoint protection system. Learn how Seqrite's EDR/XDR product can strengthen your organisation against the next wave of cyber threats!

2026 Will Be the Year of Cognitive Threats: Seqrite Warns of Human-Mimicking Cyberattacks

SEQRITE — Fri, 13 Feb 2026 07:05:39 +0000

2026’s cyber landscape will see AI-driven, human-mimicking attacks rise sharply, warns the India Cyber Threat Report 2026. Click here to explore how these cognitive threats leveraging generative AI will redefine India’s cybersecurity defenses and phishing risks.

Cyber Risks in India Threat Report 2026: Key Security Insights

SEQRITE — Wed, 04 Feb 2026 11:59:06 +0000

Discover emerging cyber trends affecting enterprises nationwide through detailed analysis and statistics. This overview of the India threat report helps decision-makers assess risks; read this report to understand ransomware growth, AI-led attacks, and sector-wise exposure, enabling stronger defenses, informed strategies, and proactive cybersecurity readiness.