Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

levelblue

AI-Enabled Cyber Intrusions: What Two Recent Incidents Reveal for Corporate Counsel

Jan 6, 2026 By Daniel Ilan et al. In LevelBlue
This article was authored by Daniel Ilan, Rahul Mukhi, Prudence Buckland, and Melissa Faragasso from Cleary Gottlieb, and Brian Lichter and Elijah Seymour from Stroz Friedberg, a LevelBlue company. Recent disclosures by Anthropic and OpenAI highlight a pivotal shift in the cyber threat landscape: AI is no longer merely a tool that aids attackers, in some cases, it has become the attacker itself.
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vanta

Why AI security looks different across the UK, France, Germany, and Australia

Jan 6, 2026 By Vanta In Vanta
Globally, 88% of companies regularly use AI in at least one business function—a 10% increase from the previous year. But as organizations race to adopt new capabilities, we’ve found that the rigor and maturity of AI governance vary widely by region. ‍ The third edition of our State of Trust report reveals how leading AI adopters outside the U.S.—from the UK to Germany, France, and Australia—are approaching AI security and governance in distinct ways.
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salt security

The Silent Threat to the Agentic Enterprise: Why BOLA is the #1 Risk for AI Agents

Jan 6, 2026 By Eric Schwake In Salt Security
In the race to deploy autonomous AI agents, organizations are inadvertently building on a foundation of shifting sand. While security teams have spent the last year focused on "Prompt Injection" and "Model Poisoning," a much older, more dangerous adversary has quietly become the primary attack vector for the agentic era: Broken Object Level Authorization (BOLA).
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exabeam

Model Context Protocol Server: The Universal Remote for AI Agents

Jan 6, 2026 By Exabeam In Exabeam
The Model Context Protocol (MCP) is emerging as a foundational interoperability layer for agentic AI, embraced by major platform providers. MCP simplifies how AI models connect to external tools and data. Think of it as a universal remote for security platforms: Instead of building fragile, one-off integrations, MCP allows AI to discover and use capabilities dynamically. For SIEM and detection providers, this shift is significant.
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AI Customer Service: Revolutionizing Customer Experiences

AI Customer Service: Revolutionizing Customer Experiences

Jan 6, 2026 By SecuritySenses In SecuritySenses
In today's fast-paced business world, providing exceptional customer support is no longer just a competitive advantage-it's a necessity. Companies increasingly turn to AI customer service solutions to meet rising customer expectations while optimizing operational efficiency. At Mindy Support, we specialize in combining cutting-edge artificial intelligence with human expertise to deliver seamless customer interactions. Our AI-driven tools enable businesses to handle inquiries promptly, provide personalized assistance, and maintain consistent quality across all communication channels.
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Featured Post
Same Mission, Different Mindsets: CISOs and Incident Response Leaders in the Age of AI and Automation

Same Mission, Different Mindsets: CISOs and Incident Response Leaders in the Age of AI and Automation

Jan 5, 2026 By Leon Ward, Chief Transformational Officer In Securonix
When you work in cybersecurity, whether you're steering the operational team, or in a more strategic role, the mission is the same: protect the business. But when it comes to executing that mission, finding consensus on the best approach can be hard. At this pivotal point in the evolution of cybersecurity, as automation becomes table stakes and AI adoption accelerates, it is important that stakeholders are pulling in the same direction. However, recent ThreatQuotient research highlights real differences in how CISOs and Heads of IR approach the introduction of AI into cybersecurity strategy and practice.
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CrowdStrike

CrowdStrike's Journey in Customizing NVIDIA Nemotron Models for Peak Accuracy and Performance

Jan 5, 2026 By Ioana Croitoru - Sophie Chau - Roxana Boriceanu - Chase Midler In CrowdStrike
Today’s security teams need AI models that can reason over massive telemetry and support autonomous actions. At CrowdStrike, we're working closely with NVIDIA to operationalize NVIDIA Nemotron open models1, building on our existing integration of Nemotron on Amazon Bedrock within the CrowdStrike Falcon platform. This collaboration enables us to rigorously test and adapt large language models (LLMs) for security-specific workloads while maintaining production-grade performance and security.
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keeper

How the Model Context Protocol Is Redefining Zero Trust for AI Agents

Jan 5, 2026 By Ashley D'Andrea In Keeper
As Artificial Intelligence (AI) agents become more autonomous by accessing critical systems and acting without real-time human oversight, they are evolving from productivity tools into active Non-Human Identities (NHIs) like service accounts or API keys that require the same oversight and controls as human users. This shift expands organizational attack surfaces, introducing new security risks related to overprivileged access and lateral movement of NHIs across cloud infrastructure.
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