Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Four Reasons Why Your Business Needs to Keep Its Software Updated

Have you ever told yourself that software updates are optional? That little reminder pops up, you ignore it, and you get on with your day. Nothing breaks immediately, so you assume everything's fine. But the hard truth is that outdated software doesn't usually fail in dramatic ways. It fails slowly. Small glitches. Weird delays. Tiny problems that pile up until one day you're dealing with a mess that could've been avoided. And in some cases, it could be the silent problems, such as cybersecurity exploits due to outdated software.

MomentProof Deploys Patented Digital Asset Protection

MomentProof, Inc., a provider of AI-resilient digital asset certification and verification technology, today announced the successful deployment of MomentProof Enterprise for AXA, enabling cryptographically authentic, tamper-proof digital assets for insurance claims processing. MomentProof's patented technology certifies images, video, voice recordings, and associated metadata at the moment of capture, ensuring claims evidence is protected against AI-based manipulation, deepfakes, and other malicious digital alterations.

AI Principles in Practice: Auditability in non-negotiable

When AI acts on your behalf, auditability is non-negotiable. In the latest Principles in Practice video, Anand Srinivas, 1Password VP of Product & AI, explains why every AI agent action involving credentials must leave a clear audit trail: Who approved the access and why When and where were credentials used What did the agent access and when Did access end when the task was completed Without auditability, AI usage can break trust between employees, security teams, customers, and regulators.

AWS ECR Scanning: The Practical Guide to Securing Your Containers

If you operate containers on AWS you’re likely familiar with how vulnerabilities can accumulate. The majority of container images currently include least one critical security flaw. Frequently hidden within a base image or an overlooked dependency. This makes enhancing your AWS container security essential. It’s the method to prevent problems such, as data leaks, privilege abuse and supply-chain threats.

Automating Cybersecurity Governance: How Bitsight Is Expanding AI-Powered Workflows Across SPM and VRM

Security governance was never meant to be this manual. Yet for most security and third-party risk teams, governance work still means reviewing documents line by line, mapping controls by hand, interpreting evidence subjectively, and repeating the same processes across internal teams, subsidiaries, and vendors. These activities are critical, but they’re also slow, inconsistent, and difficult to scale. At Bitsight, we believe cybersecurity governance should move at the speed of risk.

How Whistleblowers and Activists Protect Their Identity When Mailing

When you deal with sensitive information as a whistleblower, activist, or journalist, even sending regular documents can feel risky. Sure, the letter itself can be 100% legal, nothing shady at all, just information. But the stress is still there. The problem isn't really what you're sending. rather it's the trail that leads straight back to you.
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Innovation at Speed: Why Machine Identity Security Is Now a Boardroom Priority

CEOs across the manufacturing sector remain optimistic about the potential of digital transformation to boost productivity, efficiency, and competitiveness. Yes - manufacturers face a double bind - innovate fast (and potentially feel pain) or risk falling behind; but every step forward expands the attack surface. This sits alongside a stark reality: the manufacturing sector now suffers 26% of all cyberattacks, making it one of the most targeted industries globally. However, the most significant emerging threat is not always the one that leaders expect.

Cyberhaven DSPM: Uniting DSPM & DLP to Secure Data in the AI Era

Enterprise security programs were built for a time when data lived in a small number of predictable locations. That model no longer holds. Today, data is constantly created, copied, transformed, and shared across cloud applications, endpoints, on-prem systems, and generative AI tools, often without clear visibility. Protecting data in the AI era requires three pillars: holistic visibility across the full data lifecycle, a deep understanding of data with context (e.g.