Straiker Blog

Pattern-based security misses encoded instructions and multi-step agentic attacks. Learn why semantic intent detection is the new standard for AI.

AI-SPM secures static assets, while Agent-SPM secures autonomous agent behavior. Compare the 3 layers of enterprise AI security to protect your infrastructure.

Why can't you patch AI prompt injection? Explore the structural LLM flaws leaving 94% of enterprise AI agents vulnerable, and how intent detection stops it.

Anthropic's Claude Mythos signals the rise of AI-Persistent Threats (AiPTs). Learn how autonomous AI attacks work and how to secure your agentic stack.

OWASP's Q2 2026 update splits AI security into Agentic, LLM, and Red Teaming landscapes. Discover why autonomous agents require continuous runtime defenses.

By deploying AI agents across order support and post‑purchase flows, DTC brands can cut average handling time by around 25% (McKinsey), improve team‑level productivity and cost‑to‑serve by about 30% (Gartner), and automate 80% of routine customer service requests without human intervention (Gartner).

Are your AI coding agents secure? Read STAR Labs' deep dive into NomShub, a new exploit weaponizing Cursor's remote tunnel for persistent system compromise.

Straiker is listed as a sample vendor in the Agentic AI Security profile of Gartner's inaugural Hype Cycle for Agentic AI — one of the furthest-along profiles in the report, with a High benefit rating and a 2–5 year time to plateau.

Anthropic exposed 512K lines of Claude Code via npm. Read our analysis on what the leak reveals about context poisoning, sandbox bypasses, and AI threats.

Prevent data exfiltration and unauthorized actions in coding and productivity agents. Learn how Straiker's runtime security stops agentic threats in milliseconds.

A practitioner's take on the most important agentic AI security sessions at RSAC 2026, from OWASP AIVSS to AIKatz and the rise of AI-powered threats.

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.

Defend or ascend at RSAC 2026 with Straiker's immersive laser tag arena. Experience the reality of AI runtime security and adversarial AI testing live.

Traditional security can't protect non-deterministic AI. Discover how to secure enterprise AI agents, browsers, and co-pilots against modern autonomous threats.

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 use AI agents but lack security to scale. Read the best practices guide for stopping tool misuse and securing agentic AI.

Straiker uncovers a new agent-to-agent attack chain where malicious Claude Skills on ClawHub use fake AI personas on Moltbook to deploy crypto scams.

Learn how prompt injection can hijack AI agents, poison memory, misuse trusted tools, persist across sessions, and expose sensitive data.

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 teams move fast. See the best way to deploy automated testing and runtime guardrails to secure AI agents and coding tools without slowing velocity.

Straiker’s CEO shares 10 hard-won lessons from building an AI security company in 2025, from agentic AI and enterprise adoption to AI red teaming and security.

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.