Securing AI Agents in SaaS Platforms with Falcon Shield
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Security | Threat Detection | Cyberattacks | DevSecOps | Compliance
The Latest Cybersecurity News & Insights From Around The World
Securing AI Agents on GKE: Where gVisor, Workload Identity, and VPC Service Controls Stop Working
You enable GKE Sandbox on a dedicated node pool, bind Workload Identity Federation to your AI agent pods, wrap your data services in a VPC Service Controls perimeter, and deploy your agents with the Agent Sandbox CRD using warm pools for sub-second startup. Your security posture dashboard shows every control configured and active. And then an attacker uses prompt injection to trick an agent into exfiltrating sensitive data through API calls that every single one of those layers explicitly allows.
eBPF for AI Agent Enforcement: What Kernel-Level Security Catches (and What It Misses)
Your team deployed Tetragon six months ago. TracingPolicies are humming along—you’re catching unauthorized binary executions, blocking suspicious network connections, and generating seccomp profiles from observed behavior. Runtime security for your traditional workloads is solid. Then engineering ships their first autonomous AI agent into production. A LangChain agent connected to internal databases, external APIs through MCP tool runtimes, and a vector database for RAG.
When AI Stops Assisting and Starts Acting
For decades, the service desk has operated on a simple assumption: humans must interpret every IT problem before action can be taken. A ticket is created. Teams investigate. Data is pulled from multiple tools. Eventually someone determines the root cause and decides what to do next. It works - but it's slow, reactive, and heavily manual. That assumption is starting to change. With Tanium AI agents in ServiceNow Now Assist for ITSM connected to Tanium's real-time endpoint intelligence, machines can now understand issues, analyze live telemetry, and recommend or execute remediation in seconds.
AI Bias Is More Dangerous Than You Think #shorts
AI bias is a real problem. Bias can enter AI systems in many ways: That’s why governments and organizations are focusing on responsible AI policies to ensure AI benefits everyone equally, not just one group. Responsible AI means reducing discrimination and ensuring fairness across all communities. Watch The Full Podcast: Link Below.
OpenClaw agent fixes my Kubernetes pod. Is it safe?
With just a Slack message, AI agents can triage and resolve Kubernetes failures. But what's stopping that agent from wiping your cluster?
How intelligent workflows help MSSPs deliver customer outcomes at scale
For managed security service providers (MSSPs), customer loyalty is the most critical indicator of business health. Unlike other metrics that you directly control, such as mean time to respond or mean time to detect, it can’t be gamed: customers will either stay with you or they’ll churn. This means that the top priority for any MSSP should be to deliver the specific customer outcomes they were hired to provide, like helping to stop threat actors before they cause damage.
Feroot Launches AI-Powered Digital Consent Audit to Prove CMP Enforcement
Organizations have invested heavily in consent management. Consent Management Platforms (CMPs) are standard infrastructure for privacy programs, and for good reason. Regulations like GDPR, CCPA/CPRA, LGPD, PDPA, and HIPAA require organizations to obtain, record, and honor user consent before collecting or processing personal data. CMPs provide the framework to do that. Most organizations have done the right thing, they just don’t know if they’ve done the right thing right.
Introducing Programmable Flow Protection: custom DDoS mitigation logic for Magic Transit customers
We're proud to introduce Programmable Flow Protection: a system designed to let Magic Transit customers implement their own custom DDoS mitigation logic and deploy it across Cloudflare’s global network. This enables precise, stateful mitigation for custom and proprietary protocols built on UDP. It is engineered to provide the highest possible level of customization and flexibility to mitigate DDoS attacks of any scale.
AI Integration Security: Why the Biggest Risk Is Not the Model
When people talk about AI security risks, the conversation usually starts with the model. Can it be jailbroken? Can someone get around the guardrails? Can an attacker make it say or do something it should not? Those are fair questions, but they are not the most important ones. The bigger risk is not the model on its own: it’s everything the model is connected to.