Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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

What is Generative AI Security? Types, Risks & Best Practices

Generative AI security is the practice of protecting generative artificial intelligence models, applications, and their underlying training data from cyber attacks, data leakage, and unauthorized access. It focuses on securing both sides of the system—i.e., the AI itself (models, pipelines, APIs) and the sensitive data flowing into and out of it during real-world use.

How to Handle AI Policy Enforcement in the Era of Shadow AI

Here’s the reality most security teams are already living: over 80% of employees are using unapproved AI tools at work, and nearly half are actively hiding it from IT. The question facing every organization is no longer whether to adopt artificial intelligence — it’s how to secure the sensitive data flowing into it every single day. This is the governance gap.

How does Syteca keep #userprivacy during #useraccount monitoring? | #Syteca #cybersecurity

It’s a huge concern, and Syteca's philosophy is 'Security Made Practical'. We launched a first-to-market real-time (data masking) feature. While records the session for security, it automatically obscures personal passwords, credit card numbers, and SSNs during the live recording. You get the forensic evidence you need for compliance like or without ever actually seeing the user's. It builds trust because the monitoring is focused on the risk, not the person.

Syteca's approach to stopping a #breach in progress | #pam #itdr #cybersecurity

Prevention is great, but it’s just the front door. Syteca is built for the reality that someone will eventually get inside. Our approach is to move from passive logging to active 'Auto-Containment'. Because our is reinforced with native , the platform doesn't just send an alert when it sees lateral movement or a risky command — it can automatically terminate that session or block the user instantly. We make containment a real-time technical action rather than just a post-incident manual process.

How does Syteca's #ITDR change the way we handle hashtag#incidentresponse? | Syteca PAM

It shifts your team’s response strategy from reactive to proactive. Traditional tools might tell you a credential was used, but Syteca’s ITDR tells you how it was used. Get real-time insights and visibility into privileged sessions, or review session recordings afterward to gain context. With Sensitive Data Masking to protect personal information during an investigation, Immutable Logs, and searchable history, your team can reconstruct a full incident timeline in minutes. provides the forensic-grade evidence needed to prove regulatory while simultaneously stopping attacks in their tracks.

The 7 Best AI Governance Tools in 2026

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.

The 6 Best AI Insider Threat Monitoring Tools in 2026

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.

From Endpoint Visibility to Business ROI: Why Workforce Analytics Is Becoming A Boardroom Priority

In most organizations, the largest line item on the balance sheet isn’t technology, it’s people. Labor accounts for 70% of total operating expenses in most SaaS businesses, yet executives often lack a clear view of how that investment translates into productivity, risk exposure, software utilization, and operational efficiency. At the same time, organizations are facing a new wave of hidden costs: These blind spots quietly drain millions from operating budgets.

How to Manage Unauthorized AI Tool Usage in Your Business

In only a few years, artificial intelligence (AI) has changed almost every aspect of life, and especially so in business. Today, employees are using generative AI tools to draft emails, code software, and analyze data at lightning speed. However, there is a hidden side to this productivity boost: unauthorized AI use. Many employees are bypassing official IT channels and using shadow AI applications to get their work done.