Straiker introduces the industry's first attack and defense agents to secure enterprise agent AI applications

New features that surpass AI and protect AI add automated red teams, real-time guardrails and full chain forensics to protect all your agent applications

AI security company Straiker has unveiled new agent security features in the rise in AI, defending AI products and helping businesses adopt AI agents with confidence. These new “attack and defense agents” are tweaked and trained in real-world agent exploits, providing a chain of continuous security testing, auto-enforcement, and threat traceability, marking the industry's first comprehensive solution to agent AI threats.

Autonomous AI agents are replacing applications as we know. According to the 2025 Stanford AI Index Report, 78% of organizations were already using AI in 2024. With just LLM and access to tools or datasets, agents can run complex workflows in seconds. However, this power poses new risks, and attackers use natural language to exploit agents to create what Straiker calls Autonomous Chaos™. Straiker's own research shows that 75% of tested applications are vulnerable to rapid injection attacks, either directly or indirectly, leading to data scaling.

To address this challenge, Straiker offers full-spectrum protection that promotes protection through rapid injection, reconnaissance, tool manipulation, and enforcement and forensic medicine. Straiker integrates security features across AI, offensive testing and application security teams. Ascend AI provides an autonomous agent red team to create highly accurate attacks and exploitation, while AI instantly transforms these undecided attacks, such as indirect rapid injection and tool vulnerability exploitation, transforming threats in production into neutral real-time guardrails.

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Straiker protects agent AI applications with three important features:

• Continuous Agent Red Team: AI Attack Agents autonomously map all prompts, tool calls, and data flows. Simulate realistic exploit chains into surface risk and integrate with CI/CD pipelines to provide continuous assessment and repair guidance.
• Real-time Agent Guardrail: Defend AI automatically updates the guardrail engine in real time to block new threats targeting agent AI applications, such as tool misuse, vulnerability exploits, reconnaissance, and excessive autonomy. Provides immediate protection without any code changes or latency added.
• Chain of threat forensics: When an attack occurs, Straiker rebuilds all prompts, decisions, and API calls, and uses logs and sensor data to provide the complete narrative. This traceability accelerates route cause analysis, simplifies auditing, and demonstrates security value to stakeholders.

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Aman ShirohiAI's CISO said: “The Straiker AI-Native Red team enhances cybersecurity capabilities, thereby adding data security to customer data by quickly adapting to agent AI applications and providing GuardRails to protect AI agents from real-time exploitation and malicious behavior.”

Dan GarciaEnterprisedB's CISO stated: “AI stress-tested the entire Agent AI application stack and discovered the attack path.

Ciso, Fintech: “We connected AI products to Defent with a few lines of code and applied guardrails to rapid injection, toxicity, PII leaks and other agent threats within a second.

Uncourt Shah“We've seen a lot of effort and we've seen it,” said Straiker, co-founder and CEO. “If you can say that, you can spin up an autonomous AI agent and perform tasks. Its creative power deserves an autonomous defense as well.