Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Unlock resilient growth: Master climate change risk in 2026

Climate change is no longer a distant threat; it has become a defining issue of our time. Rising global temperatures, unpredictable weather patterns, and shifting socio-economic landscapes are reshaping how businesses operate and how governments serve their constituents. In the midst of these enormous challenges, there is one undeniable truth: resilient growth hinges on the capacity to understand, manage, and adapt to climate change risk.

Scaling Exposure Management: Program Maturity and Continuous Optimization

Building an exposure management program is just the beginning of a long journey. True success comes from scaling that program through continuous optimization, measurable progress, and organizational alignment. As enterprises expand their digital footprint, exposure management must evolve from reactive vulnerability remediation to a proactive, data-driven discipline that continuously strengthens resilience.

3 Truths About the Financial Sector's Digital Supply Chain Uncovered by Bitsight TRACE

When it comes to managing cyber risk, the financial sector is squarely at the top of the food chain. It’s simple economics (and the plot of many movies): financial institutions have the money, and cybercriminals are always looking for ways to take it. As a result, institutions have invested heavily in strengthening their internal systems and cybersecurity controls. Those investments have paid off.

It's time to rethink shadow AI.

It's time to rethink shadow AI. We've been told it's a fringe activity. A risk from rogue employees. Our new research proves that wrong. This is, ironically, no longer a "shadow" problem. It's a universal workflow hiding in plain sight. The question is no longer "how do we stop it?" It's "how do we manage it?" Our new report lands next week with the date you need to start answering that important question.

Direct vs. Indirect AI Risks: What Security Teams Need to Know #AIsecurity #AppSec #AInative

AI coding assistants don’t just speed up development — they introduce two kinds of risks you can’t afford to ignore. Direct risks: vulnerabilities added straight into generated code. Indirect risks: exposure through how AI tools shape workflows, dependencies, and external connections. Both can create blind spots — and both demand visibility. Watch to learn how recognizing these layers helps secure your AI-driven workflows.

AI in Cybersecurity: How Smart Attacks Are Redefining Risk - and What Your Brand Must Do

In today’s fast-moving digital world, the adversary has evolved — threats aren’t just more frequent, they’re smarter. Artificial Intelligence (AI) is no longer only a force for good. Threat actors now leverage AI-driven methods to automate attacks, craft human-like deception, and exploit blind spots in organizations relying on outdated defenses.

A CISO's Guide to Defending Against Social Media Impersonation

The platforms your customers trust to connect with your brand are now being weaponized to destroy its reputation. AI is equipping cybercriminals with industrial-scale operations that can replicate your brand presence across all major social platforms in just minutes. This guide provides a CISO's framework for moving from reactive brand monitoring to proactive threat disruption, detailing a four-pillar plan to neutralize these threats before they impact your business.

Critical Care, Critical Risk: Inside the Cyber Threats Targeting Healthcare

The healthcare sector remains one of the most targeted industries for cyber attacks due to its critical role in national infrastructure and its extensive repositories of sensitive data containing personally identifiable information (PII). It’s widely assumed that threat actors target healthcare and related organizations because they are perceived as more likely to pay a ransom to restore critical systems and protect patient safety in the event of an attack.