Straiker Blog

Straiker is named a Representative Vendor in the Gartner® Market Guide for Guardian Agents. See how we secure AI agents with 98.1% detection accuracy.

As autonomous AI agents introduce risks that legacy security tools weren't built to handle, Straiker has been named an EMA Vendor Vision 2026 Visionary at RSAC for its ground-up approach to agentic security.

Experience Straiker’s red team vs blue team laser tag arena at RSAC 2026. See how adversarial AI testing and AI runtime security protect modern AI agents.

The enterprise AI landscape has evolved. What started as simple chatbots has now become an ecosystem of autonomous agents, agentic browsers, and agentic co-pilots embedded throughout business workflows. Each represents a fundamental shift in enterprise systems and each introduces unique attack surfaces that traditional security can't address.

SF Bay Area-based startup achieves record traction with AI threat detection and agentic runtime security, landing multiple six-figure and seven-figure deals across D2C, financial services, healthcare, and high-tech sectors

Over 50% of financial services organizations have deployed AI agents. Most lack the security to scale them safely.

Straiker uncovered an active agent-to-agent attack chain where malicious Claude Skills on ClawHub are spread via fake AI personas, enabling crypto scams and private key theft. The research shows AI skill marketplaces are already becoming a new supply chain attack surface

Agent hijacking moves lateral movement into agent workflows, making runtime behavior monitoring essential for securing agentic AI.

A sophisticated supply chain attack targeting the MCP ecosystem used fake GitHub accounts and a cloned Oura Ring server to infiltrate developer environments with credential-stealing malware.

Security research uncovered over 4,500 exposed Clawdbot/Moltbot instances globally—concentrated in the US, Germany, Singapore, and China—with testing confirming attackers can exfiltrate API keys, service tokens, and WhatsApp session credentials for surveillance.

High-tech companies are inventing the future of AI—and its security challenges. Learn how to secure AI-native products, MCP integrations, and novel agent vulnerabilities at competitive speed.

Straiker CEO's honest reflections on what it takes to build an AI security company when chatbots become agents, acquisitions accelerate, and customers still don't know what they need.

Gartner predicts 40% of enterprise apps will integrate AI agents by 2026. Despite 75% of leaders citing security as their top concern, organizations are deploying anyway because waiting means falling behind.

AI agents are shipping by default. Learn how Defend AI delivers production-grade agentic security with real-world detections, accuracy, and research-driven coverage.

OWASP just released its first Top 10 for Agentic AI. From goal hijacking to rogue agents, here's a plain-English breakdown of the 10 risks every security team needs to understand.

Microsoft's Security Copilot agents mark agentic AI's shift to production. With 80% of orgs reporting risky behaviors, runtime guardrails are now essential for secure deployment.

New STAR Labs research shows how Perplexity Comet executed a zero click Google Drive wipe from a single email. Learn why agentic browsers create new security risks.

Discover the top AI and cybersecurity conferences for 2025-2026. From RSA and Black Hat to NeurIPS and AI Summit NYC—your essential guide to industry events.

Enterprises are shifting from chatbots to copilots to agentic AI. This blog maps AI maturity stages, compares integration models, and shows how Straiker delivers runtime guardrails across SDK, eBPF, proxy, and gateway options to secure production AI.

As AI agents enter production, static security scans (SAST) can’t catch dynamic, reasoning driven risks. Learn how to integrate Autonomous Attack Simulation (AAS) into your CI/CD pipeline to test and harden agent behavior before deployment.

Milestone marks Straiker's breakthrough work in protecting agentic AI applications

AI supply chain security inherits all the long-standing vulnerabilities of traditional software—open-source dependencies, CI/CD risks, and infrastructure weaknesses—while introducing new, AI-specific threats. From model weights and datasets to prompt pipelines and plugin ecosystems, every layer expands the attack surface, requiring a fresh approach to securing the AI development lifecycle.

Learn why AI red teaming is different and compares three approaches that security leaders are weighing today.

Understand the next evolution of artificial intelligence. Learn how generative AI differs from agentic AI—how agents move beyond content creation to autonomous reasoning and action—and why this shift defines the future of enterprise AI.