Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The latest News and Information on Insider Threats including employee monitoring and data privacy.

6 AI Insider Threat Monitoring Tools for GenAI Risks

Organizations have spent years hardening their perimeters against external attackers. Yet some of the most damaging breaches today originate from within. Insider threats — whether from disgruntled employees, compromised accounts, or AI agents — are responsible for a growing share of data loss and costly security incidents. Traditional security tools weren’t built for this reality.

Securing Your Data Pipeline from Internal Threats

When organisations design security strategies, they often focus on building a fortress to keep external threats out. However, some of the biggest risks to data integrity don't come from outside; they start within. Securing a data pipeline, the complex system that moves information from source to destination, needs strong defences against internal threats, whether they're intentional or accidental.

7 AI Governance Tools for Shadow AI Detection

AI adoption has accelerated faster than most organizations’ ability to manage it. Security and compliance teams are now responsible for overseeing machine learning models, large language models (LLMs), agentic AI systems, and shadow AI — often with frameworks and processes that weren’t built for any of it. The gap between deploying AI and governing it responsibly is where risk lives. AI governance tools exist to close that gap.

Claude DLP: Secure Your Sensitive Data in Agentic AI

Anthropic Claude has become a powerhouse for enterprise organizations, supercharging everything from software engineering to data analysis. But with great agentic AI power comes an equally massive security challenge. Every prompt, snippet of code, or piece of customer PII fed into the Claude platform represents a potential data leak or compliance breach. To safely leverage AI’s full potential, CISOs and engineering leaders can no longer rely on yesterday’s security stack.

7 Hidden Risks of AI in the Workplace

Is your team using AI tools at work? Without the right guardrails, you could be exposing your business to data breaches, compliance violations, and serious reputational damage — and most companies don't see it coming. In this video, we break down the 7 hidden risks of AI in the workplace — from data privacy breaches and AI hallucinations to Shadow AI, prompt injection attacks, and intellectual property complications. We also cover the best practices every organization needs to manage workplace AI risks before they become costly problems.
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The biggest security risks facing financial institutions in 2026

Financial institutions are spending more on security than they were five years ago. They have more security tools, invest more in training, have more policies in place and report on security more regularly. That sounds positive, but it does not automatically make them more secure. One of the biggest challenges for security leaders is deciding where to focus. New vulnerabilities, threat reports and regulatory requirements appear all the time. With so much competing for attention, it can be difficult to separate genuine priorities from the latest headline.