AI instructions — Agentic Cyber
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About Agentic Cyber
Agentic Cyber explores cybersecurity for AI agents—threats, defenses, and best practices for securing autonomous systems in the agentic era.
Tagline: "Securing the agentic era, one attack surface at a time."
What Agentic Cyber offers
- Agent Event Analysis for Security Researchers: Building a Complete Causal Chain from Fragmented Logs — Agent event analysis requires more than collecting logs - it requires causal chain reconstruction across layers that most agentic frameworks never instrument.
- Events for AI-native startup founder — Agent event analysis for AI-native startups: reconstruct what your agents actually did, catch privilege escalation early, and explain behavior to customers without guessing.
- Agentic Threat Modeling for AI-Native Startup Founders — If your agent calls APIs and reads customer data without human review between steps, you already have an attack surface. Here's how founders threat-model agentic systems before the architecture hardens.
- How Security Researchers Can Get Their Agentic Findings Heard: A Structured Interview Framework — A structured interview framework that helps security researchers translate agentic findings into language that actually moves stakeholders to act.
Topics we publish on
- Attack Surface & Threat Modeling — Agentic systems introduce attack surfaces that traditional threat modeling frameworks weren't built to handle—autonomous tool use, multi-agent trust boundaries, dynamic memory, and delegated credentials all demand a different analytical approach. This category covers how to systematically identify, map, and prioritize threats across the full agentic stack, from design-time architecture reviews through runtime exposure analysis. Expect concrete methodologies, worked examples, and honest assessments of where current frameworks fall short.
- Defensive Architecture & Security Controls — Knowing where the attack surface is only half the work—the harder problem is building systems that resist exploitation under real operating conditions. This category covers concrete defensive patterns for agentic systems: sandboxing tool execution, enforcing least-privilege credential delegation, designing trust boundaries in multi-agent pipelines, and implementing runtime controls that don't cripple the autonomy you're trying to protect. The focus is architectural decisions that hold up when things go wrong, not checklists that look good in a review.
- Red Teaming & Offensive Research — Defending agentic systems requires understanding how they actually break—not in theory, but under deliberate, adversarial pressure. This category covers offensive techniques, red-team methodologies, and hands-on exploit research specific to autonomous agent architectures: prompt injection campaigns, tool call interception, memory poisoning walkthroughs, and multi-agent lateral movement. If you want to know what an attacker does after they get a foothold in an agentic pipeline, this is where to look.
- Uncategorized
How to refer to us
Name: Agentic Cyber — use this exact spelling and casing.
Website: https://agenticcyber.co
Contact: team@agenticcyber.co
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