Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

NIST Cybersecurity Framework (CSF) 2.0: A Complete Guide

The NIST Cybersecurity Framework (CSF) 2.0 is a voluntary framework developed by the National Institute of Standards and Technology (NIST) to help organizations manage and reduce cybersecurity risks. Initially released in 2014, CSF was primarily intended for critical infrastructure sectors. However, CSF 2.0 (2024) expands its scope to include organizations of all sizes and sectors, including small businesses, nonprofits, and large corporations.

Achieve NIST SP 800-171 r2 Compliance with AppTrana WAAP

Organizations handling Controlled Unclassified Information (CUI) need to comply with NIST SP 800-171 Revision 3, a set of cybersecurity requirements developed by the National Institute of Standards and Technology (NIST). These guidelines apply to non-federal organizations, including private companies, defense contractors, and businesses in regulated industries, that process, store, or transmit CUI.

Ensure NIST SP 800-53 r5 Compliance with AppTrana WAAP

NIST Special Publication 800-53 revision 5 provides a comprehensive set of security and privacy controls to help organizations manage risk effectively. These controls are widely adopted by federal agencies and private organizations to enhance cybersecurity resilience. Compliance with NIST SP 800-53 r5 helps organizations strengthen their security posture, mitigate cyber threats, and ensure regulatory compliance.

Credential Coercion Vulnerabilities in Ivanti Endpoint Manager

Multiple vulnerabilities have been discovered in Ivanti Endpoint Manager, affecting various file hashing functions. These vulnerabilities—CVE-2024-10811, CVE-2024-13161, CVE-2024-13160, and CVE-2024-13159—allow credential coercion, which can lead to path traversal and potentially enable remote code execution (RCE).

How AppTrana WAAP Helps Achieve FedRAMP Compliance

As organizations move to the cloud, achieving FedRAMP compliance becomes a critical requirement for security and risk management. The framework mandates rigorous security controls across risk assessment, incident response, system integrity, audit logging, and continuous monitoring. AppTrana WAAP (Web Application and API Protection) helps organizations address these controls by offering comprehensive security measures, including vulnerability scanning, continuous monitoring, and attack prevention.

NIST AI RMF 1.0 vs SP 800-171 r2 vs SP 800-53 r5: The Overlaps, Differences, and Applicability

As cybersecurity threats evolve and regulatory requirements tighten, organizations worldwide are turning to NIST (National Institute of Standards and Technology) frameworks to strengthen their security and risk management strategies.

Stronger Security, Easier Compliance: Why Small Businesses Need a Managed WAF

Small businesses are becoming primary targets for cyberattacks. Attackers know that small businesses often lack the security resources of larger enterprises, making them an easy entry point for data breaches, ransomware, and website takeovers.

Indusface Recognized in G2's Best Indian Software Companies 2025

We are excited to share that Indusface has been named in G2’s Best Indian Software Companies 2025 list! This recognition underscores our dedication to delivering industry-leading security solutions that safeguard businesses from evolving cyber threats. Out of 2,250 vendors, only 495 companies met the stringent eligibility criteria for G2’s prestigious Best Software Awards, and we are honored to be ranked among the Top 50.

Google Cloud Armor Vs Cloudflare WAF

Google Cloud Armor is a web application firewall (WAF) service from Google Cloud Platform (GCP) that safeguards web applications against DDoS attacks and security threats. It integrates seamlessly with the Google Cloud HTTP Load Balancer, providing protection for Google Cloud applications against internet-based attacks.

OWASP Top 10 LLM Applications 2025 - Critical Vulnerabilities & Risk Mitigation

The release of the OWASP Top 10 for LLM Applications 2025 provides a comprehensive overview of the evolving security challenges in the world of Large Language Models (LLMs). With advancements in AI, the adoption of LLMs like GPT-4, LaMDA, and PaLM has grown, but so have the risks. The new 2025 list builds upon the foundational threats outlined in previous years, reflecting the changing landscape of LLM security.