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).

One thing is certain for manufacturers: Cyberattacks on your operations will succeed. Improving detection and prevention capabilities is critical, but at some point, your operational technology (OT) environment will face a significant incident. What matters most is how quickly you can recover and resume operations.

In 2025, KrakenLabs tracked a series of shifts that reshaped how cyber threats materialized across organizations. Drawing on research conducted throughout the year, this article highlights the most consequential developments observed by KrakenLabs in 2025, where attacker success depended less on new tools or novel exploits and more on the large-scale exploitation of people, identity, and trusted access.

What are HIPAA disaster recovery requirements? Healthcare data breaches exposed over 276 million patient records in 2024, representing more than 80% of the US population according to the HHS Office for Civil Rights. For healthcare organizations, the question is no longer whether a disruption will occur, but when. The HIPAA Security Rule addresses this reality directly through its contingency planning requirements, yet many organizations still operate with significant compliance gaps.

At Fal.Con 2025, CrowdStrike introduced Threat AI, an agentic threat intelligence system of autonomous agents that reason across data, hunt for threats, and take action. As part of our vision for the agentic SOC, these AI-powered agents automate complex intelligence workflows so defenders can keep up with AI-powered adversaries while staying in control of every decision.

Securely scale search, security, and observability apps on any cloud provider. We are thrilled to announce a major milestone in our commitment to security, privacy, and regulatory compliance for Elastic Cloud Serverless. Elastic Cloud Serverless has now attained a comprehensive suite of key compliance certifications across all of our available cloud providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud (GCP).

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.

The widespread adoption of AI agents creates a new, unmanaged attack surface. The Exabeam January New-Scale launch directly addresses this risk, providing a layered approach to secure your AI workforce from onboarding to automated threat response.

If you were part of the workforce before the year 2000, the emphasis on security and compliance might not have been as pronounced unless you were in a government role or a company with legal obligations. However, with the advent of cloud services in 2010, the landscape changed, and privacy compliance gained significant relevance, especially as companies expanded their services globally. Fast forward to the 2020s, where security and compliance are now mainstream.