Bridge the gap. Learn to think like a hacker and defend like a pro. Master Adversary Emulation, Detection Engineering, and Automated Breach Simulations using AI.
> Refining Detection Logic (Sigma Rule)...
> Updating EDR Policy... Done
> Re-running Attack Simulation... _
A hybrid curriculum that teaches you to attack to test defenses, and defend based on real-world attack patterns.
Simulating specific threat actors (APTs) using frameworks like MITRE ATT&CK to test organizational resilience.
Writing custom detection rules (Sigma, YARA, Snort) based on the techniques used during emulation.
Deploying automated tools like Caldera and Atomic Red Team to continuously validate security controls.
Operationalizing CTI. Taking intel reports and converting them into actionable emulation plans.
Designing defensive layers (Zero Trust, Segmentation) that are resilient against modern Red Team attacks.
Prioritizing patching based on exploitability and business impact, moving beyond simple CVSS scores.
Executing Kerberoasting to understand it, then implementing Honeytokens and GPO hardening to stop it.
Simulating cloud breaches on AWS/Azure and tuning CloudTrail/Sentinel alerts for rapid detection.
Leveraging AI to predict attacker next moves and automate the feedback loop between Red and Blue teams.
A structured, step-by-step path to unified security operations.
Run a continuous feedback loop. Launch specific attacks (Ransomware, APT33), measure SOC response time, tune detection rules, and re-run attacks to verify improvements.
A hybrid arsenal of offensive and defensive technologies.
Execute full-spectrum engagements: Attack, Detect, Improve.
Execute a ransomware attack using a custom C2. Then, switch roles to investigate the alerts in Splunk. Identify the gaps in detection, write new Sigma rules to catch the specific behavior, and re-run the attack to verify the defense.
Simulate a "Zero-Day" exploit behavior (e.g., unexpected parent-child process spawning). Without a signature, you must rely on behavioral anomalies. Configure Sysmon to capture the relevant data and build a heuristic detection rule in the SIEM.
Launch an attack on an AWS environment (S3 exfiltration + IAM persistence). Then, investigate CloudTrail logs to trace the attacker's steps. Implement automated remediation scripts (Lambda) to revoke keys and isolate buckets upon detection.
Perform Kerberoasting and LLMNR poisoning against a lab domain. Identify the weak configurations allowing this. Deploy Honeytokens (fake admin accounts) and configure Group Policy (GPO) to disable LLMNR and enforce strong encryption, effectively neutralizing the attack.
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