Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

seemplicity

Secure the Supply Chain at Scale with Step Security and Seemplicity

Mar 31, 2026 By Kevin Swan In Seemplicity
CI/CD risks don’t get fixed on visibility alone. Step Security surfaces pipeline exposures, while Seemplicity turns them into clear, assigned remediation tasks, grouped by fix and owner, routed into existing workflows, and tracked through resolution, so teams can reduce exposure faster and prove progress.
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armo

Securing AI Agents on GKE: Where gVisor, Workload Identity, and VPC Service Controls Stop Working

Mar 31, 2026 By Shauli Rozen In ARMO
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.
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armo

Observe-to-Enforce: How Progressive Security Policies Reduce Blast Radius

Mar 31, 2026 By Shauli Rozen In ARMO
Last Tuesday, your security architect opened a pull request to add network policies to the payments namespace. The PR sat for six days. Three engineers commented with variations of “how do we know this won’t break checkout?” Nobody could answer. The PR got marked “needs discussion” and moved to a backlog column where it joined the fourteen other security hardening tickets nobody will touch.
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armo

eBPF for AI Agent Enforcement: What Kernel-Level Security Catches (and What It Misses)

Mar 31, 2026 By Yossi Ben Naim In ARMO
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.
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keeper

How Investment Firms Can Secure Trading Platforms With Keeper

Mar 31, 2026 By Ashley D'Andrea In Keeper
Investment firms operate at the heart of global capital markets, managing assets, executing large volumes of transactions and relying on technology to transfer funds in real time. For all of this activity, investment firms rely on trading platforms, which are systems that route orders to alternative markets, analyze data, execute trades and measure performance across portfolios.
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When AI Stops Assisting and Starts Acting

Mar 31, 2026 By Tanium In Tanium
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.
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Tanium Enforce: Policy Management Evolved - Tanium Tech Talks #158

Mar 31, 2026 By Tanium In Tanium
Migrating Group Policy? Struggling with CIS remediation? Tired of managing sprawling Enforce policies? Join us as Time Mintner shows off our favorite Enforce update yet - from importing GPOs and CIS benchmarks to simplified policy management. Enforce 3.0 dramatically simplifies: Migrating Group Policy into Enforce Consolidating multiple policy types into a single, manageable policy Importing CIS Benchmarks (Build Kits) Improving compliance validation️ Managing services and custom registry settings.
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AI Bias Is More Dangerous Than You Think #shorts

Mar 31, 2026 By Protecto In Protecto
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.
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