This is why there are so many approaches, from prompt filtering to identity-layer access controls. As phishing campaigns become more sophisticated, simply identifying malicious websites and impersonation domains is no longer enough. This shift highlights a broader trend across the cybersecurity landscape.
“At the same time, the personalization built into the headless model means each client environment can be configured to match its specific architecture, risk tolerance, and operational preferences. Because our headless model is API-first and highly programmable, MSSPs can standardize and scale security workflows across multiple customer environments with greater consistency and efficiency,” Zaccone said. MSSPs need repeatable workflows, https://lifestyll.net/what-are-the-best-tools-for-digital-creativity/ but every customer has different systems, risk tolerance, and operating rules. For MSSPs and partners, the model could matter if it helps them manage cloud security across multiple customer environments without adding more manual work.
Nozomi listed architecture-specific samples for i386, amd64, MIPS, ARM, PowerPC, and m68k. The model that worked for lift-and-shift can’t contain threats that move at machine speed. This reinforces the role of ungoverned interfaces in scalable AI compromise, with 47% of AI system breaches involving data exfiltration through assistants or plugins.
Cloud Growth = Attack Surface Growth
Through AWS Security Hub Extended, Native helps customers enforce secure-by-design principles across their cloud workloads. Through Native’s inclusion in AWS Security Hub Extended, AWS customers can now incorporate intent signals to operationalize cloud provider security controls across their environments. This helps customers prevent insecure states from the onset by enforcing guardrails directly within the cloud provider. Native addresses this shift by helping organizations pair visibility with architectural enforcement using provider-native controls.
New MacOS Malware Exploits Legitimate Developer ID to Pose as Apple Crash Reporter
Sysdig is saying that the model brings CNAPP capabilities directly into the workflows where developers and security teams already work, including coding agents and collaboration tools. Instead of analysts spending so much time clicking through dashboards, AI agents can help spot issues, triage them and, in some cases, help move fixes forward. For the third consecutive year, Accenture has been named Google Cloud Global Services Partner of the Year and won the Google Cloud Partner global award for Artificial Intelligence – Innovation and Solutions in 2025, reinforcing Accenture’s work https://envoyezballadervosenfants.com/tips-to-assure-success-with-outsourcing-2.html in helping clients modernize and innovate securely through Google Cloud. “Our partnership with Accenture further strengthens our ability to deliver cloud security offerings and provide customers with a comprehensive solution,” said Kevin Ichhpurani, President, Global Partner Ecosystem at Google Cloud.
Tengu Botnet Reboots Compromised Linux Devices When Defenders Kill Its Process
As global data volumes surpass 200 zettabytes, with roughly half expected to reside in the cloud, cloud resources such as SaaS applications, cloud storage and cloud infrastructure management have become the biggest targets for cyberattacks. SonicWall detected suspicious activity – specifically, the downloading of backup firewall configuration files – in early September 2025. Please join us as we shift the conversation to explore how organizations can refine and optimize their security approach to thrive in today’s environment. Without comprehensive visibility into log data and account activity, organizations may struggle to detect and respond to security incidents in a timely manner.
- As global data volumes surpass 200 zettabytes, with roughly half expected to reside in the cloud, cloud resources such as SaaS applications, cloud storage and cloud infrastructure management have become the biggest targets for cyberattacks.
- We extend our sincere gratitude to Fortinet, a global leader in cloud security, for their invaluable contribution to this research.
- The new capability expands ControlMonkey’s Cyber Resilience Platform, which helps organizations discover, govern, back up, and recover cloud and SaaS configuration.
- Updates to Security Command Center include Compliance Manager, Data Security Posture Management, and Risk Reports, all designed to streamline compliance and highlight emerging threats.
- Fortinet empowers our customers with complete visibility and control across the expanding attack surface and the power to take on ever-increasing performance requirements today and into the future.
- Container scanning, static and dynamic code analysis and automated testing create a more resilient environment and reduce the risk of post-deployment breaches.
- Organizations planning budget increases should focus on solutions that efficiently integrate key capabilities, such as CNAPP, to maximize the impact of their investment.
- The irony is that most enterprises struggle to use them effectively, especially across multiple clouds,” said Megiddo.
- As phishing campaigns become more sophisticated, simply identifying malicious websites and impersonation domains is no longer enough.
- Notable incidents covered include the Snowflake data breach (2024), CrowdStrike outage (2024), and Microsoft breach (2024).
- By addressing the challenges—such as misconfigurations, skills gaps, and lack of visibility—organizations can build a resilient security posture.
Upwind Security is responding to that shift with a new AI Sensor for Endpoints, announced today. They secured workloads, locked down identities, and monitored runtime behavior with increasing sophistication. Upwind’s AI Sensor links endpoint activity with cloud context, helping teams track MCP connections, AI actions, identities and developer risk in one view today. The Cloud Security Alliance is led by a broad coalition of industry practitioners, corporations, associations and other key stakeholders.
Container image signing, however, had been implemented by only about half of organisations, and runtime protection remained inconsistent, with many teams defaulting to out-of-the-box settings not deliberately defined policies. That means roughly six in ten organisations are operating on confidence not structure. The shift from log processing to log understanding is the evolution that cloud security has been waiting for. This is where large language models (LLMs) represent a transformational shift. “To patch the vulnerability, customers must implement a kernel update and set a profile parameter,” Onapsis said. SonicWall did not disclose when the brute-force activity began or how long it took them to notice it.
