Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How strategic CISOs turn AI risks into competitive advantages

As the flurry of excitement over fresh AI innovation begins to fade, risk leaders, heads of GRC and CISOs have a new challenge to tackle. Regulators, customers, and boards are all asking harder questions about how AI is used, secured, and audited. For CISOs, AI governance is now a board-level expectation. Some organizations will be able to confidently show their measured and documented approach to AI governance.

The Future of AI in the Crane Industry: Safety, Intelligence, and Industrial Upgrading

As artificial intelligence (AI) technologies continue to advance, their influence is rapidly expanding across a wide range of industries. The crane and lifting-equipment sector is no exception. AI is reshaping how cranes operate, how they are maintained, and how future industrial environments ensure safety and efficiency. This article explores the key development prospects of AI in crane machinery-focusing on intelligence, safety, efficiency, and industrial transformation-through a security-centric lens suitable for modern industrial operations.

Secure-by-Design: Best Practices for Integrating AI Features into Modern Apps

AI-driven features have rapidly shifted from experimental add-ons to core expectations inside modern applications. Whether the goal is automation, personalization, or advanced data visualization, users now assume that intelligent components will be woven into their daily tools. Even something as simple as an online AI chart maker can become a standard part of how teams interpret information inside secure platforms, pushing developers to think more critically about how these capabilities are planned and protected.
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Cyber Resilience and AI Risk: Safeguarding Critical Infrastructure in a New Threat Landscape

In October, the UK put a spotlight on cyber resilience with the release of the NCSC's 2025 Annual Review. CEO Richard Horne warned that failing to prepare for cyberattacks risks a company's future. The urgency behind this statement is backed by data: the NCSC handled 204 major cyber incidents between September 2024 and 2025, and 43% of UK businesses reported a breach in the past year.

LLMs, Quantum Computing, and the Top Challenges for CISOs in 2026

Cybersecurity in 2026 is entering its most transformative and volatile phase yet. For CISOs, the landscape is no longer defined only by web, network, and cloud threats. Instead, attackers now target AI/LLM systems, APIs, identity platforms, SaaS ecosystems and supply chains. The surge in attacks across applications, APIs, and GenAI systems indicates that adversaries are scaling faster, using automation, AI-assisted exploitation, and new social engineering vectors.

Delivering Intelligent IT Foundations for Safe AI Usage

JumpCloud CTO Greg Keller explains why traditional, fragmented IT tools create a critical Zero Trust gap for AI agents, bots, and non-human identities (NHIs). The biggest inhibitor to innovation isn't restrictive policy—it's the internal lack of a unified identity foundation. Learn how to address "identity sprawl" and transform IT operations to deliver auditable trust, extend Zero Trust enforcement to machine-to-machine interactions, and build the Intelligent IT foundations required for safe, accelerated AI adoption.

Beyond security theater: How automated trust closes the AI readiness gap

‍ AI is transforming businesses at breakneck speed—but security isn’t keeping up. ‍ According to Vanta’s State of Trust Report 2025, which surveyed over 2,500 business and IT leaders around the world, 3 in 5 say AI-related security threats are outpacing their expertise. With a majority of organizations experiencing threats weekly, AI is not just driving the volume, but the precision of these attacks.

Critical vLLM Flaw Exposes the Soft Underbelly of AI Infrastructure

While the world worries about "jailbreaking" LLMs or preventing them from hallucinating, a critical new vulnerability has just reminded us of a fundamental truth: AI is just software, and software has bugs. A newly discovered critical flaw (CVE-2025-62164) in vLLM, one of the most popular libraries for serving large language models, allows attackers to achieve Remote Code Execution (RCE) or crash servers simply by sending a malicious API request. This isn't a failure of the AI model.

Hackers hijack Google Smart Home #aisecurity #mcpserver

Building AI agents that can think, act, and adapt securely isn't easy. From prompt design to deployment, every stage brings new challenges and new risks. In this session, Bar-El Tayouri, Head of Mend AI at Mend.io, and Yehoshua (Shuki) Cohen, VP of Data and AI Evangelist at AI21 Labs, shared practical strategies for designing and defending agentic systems that actually deliver. Key topics covered: Originally recorded: October 29, 2024.