Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Transforming AI Risk Awareness Into Measurable AI Governance

Only a few years ago, after more than a decade of debate over how cybersecurity incidents affect the financial stability of public companies, the U.S. Securities and Exchange Commission (SEC) finally made cyber risk disclosure a formal requirement. The intent was to bring transparency and accountability to a category of risk that had long been treated as technical rather than financial. Now, albeit voluntarily, AI has entered that same conversation, but the speed of its arrival has been remarkable.

The Autonomous Shield: Cybersecurity in the Age of Automation and AI

As businesses adapt to an ever-evolving threat and regulatory landscape, it is widely accepted that the next big challenge lies in scaling cybersecurity to keep pace. In fact, organizations have never experienced the volume, velocity, and severity of attacks that we witnessed in 2024 and are continuing to see in 2025.

Insights Agent: From Data to Decisions

Vulnerability and exposure data is only as valuable as the insights you can extract from it. Seemplicity’s Insights Agent changes the game by turning dense vulnerability information into actionable insights, surfacing meaningful trends and generating visual insights. No configuration or guesswork–just fast, contextual analysis that helps security teams focus on what matters most.

How AI agent privileges are redefining cyber insurance expectations

When ransomware drove record losses, insurers began scrutinizing basic controls like multi-factor authentication (MFA), backups, and endpoint detection. Now, AI-driven automation is introducing a new category of risk—AI agents—and insurers are responding with heightened attention to privilege management. AI agents are non-human identities that can approve payments, access sensitive data, and execute commands using powerful API keys.

Master Video Production: Leveraging AI for Efficient Workflows

In today's rapidly changing industry of video production, being ahead of the curve requires embracing new ideas which is why Artificial Intelligence (AI) has become a major force in the game. Artificial Intelligence-driven technology is changing conventional workflows in video production and making video production more efficient as well as smarter than it has ever been. If you're a content creator, filmmaker, or video editor, knowing the best ways to use AI will significantly improve your workflow as well as enhance the production quality.

Automation Without Risks: Staying Secure with AI Browsers

Let's keep this simple. Most people don't get "hacked" in a dramatic movie way: they are not attacked by a team of professional geniuses aiming for millions of dollars in profits. They lose access to accounts, get locked out of work platforms, or leak something sensitive because of small, boring mistakes: a rushed click, reused password, and a browser stuffed with old logins. That's the reality.

Information Overload to Strategic Insights: How Egnyte's Deep Research Agent Transforms Enterprise Knowledge Discovery

Every day, professionals and knowledge workers lose hours digging through files, reports, and systems. The information is out there, but it’s buried. Instead of shaping strategy, people get stuck chasing down data. Even with strong IT, time spent searching has only grown since 2002, now averaging 1.8 hours a day, according to a McKinsey study. Think about it: They all need clarity fast. But, what they get is fragments spread across disconnected sources and hours of searching.

Overcoming the Challenges and Limitations of Data Tokenization

Tokenization replaces sensitive data with non-sensitive stand-ins called tokens. The mapping between the token and the original value sits in a secure service or vault. If attackers steal a database full of tokens, the stolen data has little value. This is why tokenization is popular for payment card industry (PCI) workloads, customer PII, and healthcare records. Yet tokenization is not magic. Like any control, it has weak points and practical limits. Teams often learn about those limits the hard way.

Third-Party Vulnerability: What the Mixpanel Incident Means for Millions of ChatGPT and API Users

In late November 2025, developers and API users of ChatGPT and OpenAI’s platform received a note that felt personal: an alert about a data exposure linked not to OpenAI’s own servers but to a third-party analytics vendor. That vendor was Mixpanel.

Falcon Shield Evolves with AI Agent Visibility and Falcon Next-Gen SIEM Integration

CrowdStrike is introducing two powerful innovations in CrowdStrike Falcon Shield to stop identity-based attacks in the AI era: a centralized view of AI agents across platforms and the integration of first-party SaaS telemetry into CrowdStrike Falcon Next-Gen SIEM — the industry’s first native integration of SaaS security posture management (SSPM) and next-gen SIEM.