Practical content from industry professionals on digital forensics · data recovery · cyber security · KVKK compliance.
AI catches fake transactions and account takeovers in real time by learning deviation from normal behavior. The difference from rule based, a table of patterns it catches, the false positive and miss balance, human oversight and the KAOS approach.
Read moreWhen an AI says 'this is an attack', the security team must see the reason. The black box problem, a table of why explainability is critical, why it is a must in forensics, the evidence based approach and the explainable design of KAOS.
Read moreA model you download can carry a hidden backdoor; the AI supply chain is a new risk. A table of supply chain risks, verifying source with provenance, testing the downloaded, component inventory (SBOM) and assessment with KAOS.
Read moreModel security is protecting a machine learning model itself against stealing and extracting the data inside it. A table of attacks against the model, model inversion and privacy, access and query limit defense and assessment with KAOS.
Read moreA cyber security AI is strong at scaled scanning and noise filtering, needs the human for business context and real exploitation. Capability and limit tables, a framework to evaluate a tool (false positives, local processing, honesty) and the KAOS approach.
Read moreAI transforms the SOC by filtering the alert pile and reducing noise. The SOC's real problem is alert fatigue, a table of what AI changes, what it does not do, setup models (MDR) and human supervised monitoring with KAOS.
Read moreAn autonomous AI agent runs a multi step task with its own decisions; that is its difference from a scanner. A power and risk table of autonomy, human supervised autonomy principles (scope lock, verification, brake), hallucination and the KAOS approach.
Read moreAttackers use AI for faster, more convincing and scalable attacks. A table of use areas, the deepfake leap, AI itself being a target, the human verification layer defense and assessment with KAOS.
Read moreAI does not replace the expert, it changes their role. What AI does well, a table of jobs requiring human judgment, false positives and verification, how the role changes and the human machine partnership with KAOS.
Read moreAn endpoint without a rate limit is open to brute force, scraping and denial of service. A table on why a simple count limit is not enough, distinguishing legitimate from malicious traffic with bot management, cost aware defense and non destructive testing with KAOS.
Read moreMost breaches start not from a technical flaw but from an employee clicking a fake email. A table of the elements of a good simulation program, the measure but do not blame principle, connection with real threats and phishing simulation and training with DSET.
Read moreThe database is the attacker's ultimate target; a flaw in the application is often used to reach it. A table of hardening basics, why least privilege is critical, encryption and backup, misconfiguration risk and audit with KAOS.
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