Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Insider threats cost organizations an average of $17.4 million annually, with financial services facing costs up to $20.68 million per organization according to the Ponemon Institute 2025 Cost of Insider Risks Global Report. Traditional security measures fail when malicious behavior originates from authorized users who bypass most security controls without triggering alerts. Cyber criminals increasingly recruit bank employees to gain unauthorized access, steal customer data, and facilitate fraud rings.

For Managed Security Service Providers (MSSPs), Web Application Firewall (WAF) or Web Application and API Protection(WAAP) services have become table stakes. Enterprises expect MSSPs to deliver continuous security-policy management, rapid patching, zero false positives, real-time responses to zero-days, and audit-ready compliance reporting. The challenge? Delivering all of this as a part of MSSP managed WAF service can quickly become a margin drain.

Generative AI is transforming the way enterprises approach daily operations – powering virtual assistants, summarizing medical records, and aiding clinicians with insights. These benefits come at a cost: risk to a wide range of sensitive data in AI-driven workflows. Traditional access controls and content filters that work for static systems fail as these are not designed for the free-flowing, context-rich data exchanges in LLM applications.

Personally Identifiable Information (PII) is scattered across cloud storage, emails, and databases—making it a prime target for breaches and compliance failures. Automated PII detection, powered by rule-based and machine learning models, helps organizations discover, classify, and secure sensitive information in real time. This guide breaks down how detection works across structured and unstructured data, modern redaction techniques, model customization, and integration with Netwrix DSPM.

AI-powered social engineering attacks are significantly more successful than traditional attacks, according to a new report from cyber risk management firm Resilience. The researchers state, “Social engineering attacks fueled 88% of material losses, with AI-powered phishing achieving a 54% success rate compared to just 12% for traditional attempts.” AI allows attackers to easily craft sophisticated phishing emails, as well as voice and video deepfakes.

CMMC is a strict certification, but there’s also a lot of variation within its security controls and the demands it makes of agencies looking to achieve that certification. The standards are high, especially at the higher levels of CMMC, but there are also many tools and platforms available to meet those needs appropriately, without reinventing the wheel from base principles. Businesses need the tools necessary to function in a modern digital world.