Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Agentic AI Security and Regulatory Readiness: A Security-First Framework

AI is getting smarter; instead of just waiting for us to tell it what to do, it's starting to jump in, make its own calls, and get whole jobs done by itself. These independent systems can mess with data, use tools, and talk to people in all sorts of places, often doing things way faster than we can keep an eye on. This means we need a new way to stay safe, one that's all about managing what these AIs do and making sure we can always see what's happening and know who's responsible.

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.

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.

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.
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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.

AI agents are forcing a reckoning with identity and control

Most organizations never planned for AI to start making real decisions. They started with simple helpers. An agent answered basic questions or generated small automations so teams could avoid opening another IT ticket. It felt harmless. But as these agents become more capable and more autonomous, they begin operating across systems at machine speed. They connect tools, provision access, and trigger chained actions long after the original request.

Compensating Controls: The Unsung Heroes of Cyber Resilience

Article updated and refreshed February 3rd, 2026. When ideal controls aren’t possible, intentional alternatives help reduce exposure. Most security teams know what the “right” controls look like on paper.But real-world environments rarely match the blueprint. Between legacy systems,limited staffing, and overlapping tools, the gap between what’s ideal and what’s feasible is often wide. That’s where compensating controls come in. They aren’t shortcuts.

Security Control Management: The New Mandate for Risk-Driven Security

Article updated and refreshed February 3rd, 2026. Because the tools you’ve deployed aren’t the same as the ones you’re using. Security teams today aren’t short on tools. Most environments are packed with security controls—spanning email, identity, network, endpoint, and cloud. But despite this abundance, risk remains stubbornly high. Attacks continue to land. Exposure persists. The problem isn’t the absence of controls. It’s the lack of control over the controls.

How to build secure agent swarms that power production-grade autonomous systems

If one autonomous agent is useful, it is natural to ask whether many agents working together could be dramatically more effective. Over the last few weeks, the AI community has been testing this idea in practice by running large numbers of agents in coordinated swarms. The early results are clear: swarms can be far more capable than individual agents, but only under the right conditions.