Download as PDF, PPTX
More Related Content
Similar to Artificial Intelligence in cybersecurity
![[DSC Europe 23][AI:CSI] Aleksa Stojanovic - Applying AI for Threat Detection ...](https://cdn.slidesharecdn.com/ss_thumbnails/jytahfl2tqyatpbxfkpe-aleksa-stojanovic-applying-ai-for-threat-detection-in-the-world-of-cybersecurit-231130130512-290ee1ec-thumbnail.jpg?width=640&height=640&fit=bounds)
![Vibe Coding vs. Spec-Driven Development [Free Meetup]](https://cdn.slidesharecdn.com/ss_thumbnails/vibecodingvsspecdrivendevelopment-251209105622-43f455e7-thumbnail.jpg?width=640&height=640&fit=bounds)
Artificial Intelligence in cybersecurity
- 1.
- 2. 2 www.smartlearninguk.com2 www.smartlearninguk.com Roleof Artificial Intelligence in Cyber Security Wale Omolere Role of Ai in cyber security
- 3. 3 www.smartlearninguk.com3 www.smartlearninguk.com Whatis Artificial Intelligence? AI broadly refers to the ability of machines to "think" like humans and perform tasks considered "smart," without explicitly being programmed to do so. ML is a subset of AI. ML algorithms build a mathematical model based on training data, and they leverage the model to make predictions when new data is provided Source: pwc Wale Omolere Role of Ai in cyber security
- 4. 4 www.smartlearninguk.com4 www.smartlearninguk.com Ochestrate & Automate Process & structure Orchestrateand Automate tasks that humans can perform without a problem to a much larger volume we could ever handle Artificial Intelligence Process and structure huge volumes of data including analysis of the complex relationships within it Wale Omolere Role of Ai in cyber security
- 5. 5 www.smartlearninguk.com5 www.smartlearninguk.com Unsupervised Supervised Reinforcement SUPERVISED Machinelearns by using labelled data Regressions & Classification Labelled data External supervision Maps labelled inputs to known outputs UNSUPERVISED Machine is trained on an unlabelled data without any guidance Association & Clustering Unlabelled data No supervision Understands patterns & discovers the outputs REINFORCEMENT Agent interacts with its environment by performing actions & learning from errors or reward Reward-based No predefined data Follows the trial-and-error method RN LEA ING Machine Learning Algorithms – overview of ML underlaying technologies Wale Omolere Role of Ai in cyber security
- 6. 6 www.smartlearninguk.com6 www.smartlearninguk.com DeepLearning Data Requirement – Requires large data Accuracy – Provider higher accuracy Training Time – Takes longer to train Hardware Dependency – Requires GPU to training properly Hyperparameter Tuning – Can be tuned in various different ways Learning Machine Learning Data Requirement – can train on lesser data Accuracy – Gives lesser accuracy Training Time – Takes less time to train Hardware Dependency – Train on CPU Hyperparameter Tuning – Limited tuning capabilities Wale Omolere Role of Ai in cyber security
- 7. 7 www.smartlearninguk.com7 www.smartlearninguk.com Supervisedlearning is when a model learns from a labeled dataset with guidance. And, Unsupervised learning is where the machine is given training based on unlabeled data without any guidance. Whereas Reinforcement learning is when a machine or an agent interacts with its environment, performs actions, and learns by a trial-and-error method. . AI Learning Model – in a nutshell Wale Omolere Role of Ai in cyber security
- 8. 8 www.smartlearninguk.com8 www.smartlearninguk.com AIis Math Advanced and new application of Statistics Artificial General Intelligence Intelligence of a machine that could successfully perform any intellectual task Machine Learning Ability for (machines) to learn without being explicitly programmed – predictions based on data sets Deep Learning “New ML” that recognizes patterns - wider range of data resources, less data pre- processing by humans, produce more accurate results Swarm technology Collective behaviour of decentralized, self- organized systems, natural or artificial - Already used in drones and fledgling robotics devices Overview of AI Source : researchgate.com Wale Omolere Role of Ai in cyber security
- 9. 9 www.smartlearninguk.com9 www.smartlearninguk.com AIin Cybersecurity Wale Omolere Role of Ai in cyber security
- 10. 10 www.smartlearninguk.com10 www.smartlearninguk.com Networksecurity Application security Information security Operational security Disaster recovery & Business Continuity End-user education Cyber Security is the practice of defending computers, servers, mobile devices, electronic systems, networks and data from malicious attacks What is Cyber Security? Wale Omolere Role of Ai in cyber security
- 11. 11 www.smartlearninguk.com11 www.smartlearninguk.com Virus,Trojan, Spyware, Ransomware, Adware, Botnets Malware Email phishing, Spear phishing, Whaling, Vishing & Smishing Phishing Application-layer flood, Distributed Denial of Service Attacks (DDoS) Denial-of-service attack SQL injection In-band SQLi (Classic), Inferential SQLi (Blind) and Out- of-band SQLi Man-in-the middle attack Man-in-the browser (MitB) 01 02 03 04 05 Types of cyber threats Wale Omolere Role of Ai in cyber security
- 12. 12 www.smartlearninguk.com12 www.smartlearninguk.com 02| Manual Manual threat hunting—can be expensive and time-consuming, resulting in more unnoticed attacks. 04 | Hackers Hackers often hide and change their IP addresses—hackers use different programs like Virtual Private Networks (VPN), Proxy servers, Tor browsers, and more. These programs help hackers stay anonymous and undetected. 01 | Defence Paradigm Defence paradigm based on previous knowledge of attacks— inefficient against zero-day and variations 03 | Reactive Reactive nature of cybersecurity— companies can resolve problems only after they have already happened. Predicting threats before they occur is a great challenge for security experts. Key flaws of Cyber Security Wale Omolere Role of Ai in cyber security
- 13. 13 www.smartlearninguk.com13 www.smartlearninguk.com Thenext generation of cyber security products are increasingly incorporating Artificial Intelligence (AI) and Machine Learning (ML) technologies. By training AI software on large datasets of cyber security, network, and even physical information, cyber security solutions providers aim to detect and block abnormal behaviour. There are different approaches to using AI for cyber security, and it is important first to determine which is appropriate for the organization. Some software applications analyse raw network data to spot an irregularity, while others focus on user/asset/entity behaviour to detect patterns that deviate from normal. The types of data streams, how they are collected, and the level of effort needed by analysts all vary by approach. Artificial Intelligence for Cyber Security Wale Omolere Role of Ai in cyber security
- 14. 14 www.smartlearninguk.com14 www.smartlearninguk.com Offensivesecurity – is a proactive and adversarial approach to protecting computer systems, networks and individuals from attacks Defensive security – offensive security measures are focused on seeking out the perpetrators and in some cases attempting to disable or at least disrupt their operations. AI in Cyber Security techniques Wale Omolere Role of Ai in cyber security
- 15. 15 www.smartlearninguk.com15 www.smartlearninguk.com Vulnerability Management Userand Entity Behaviour Analytics VM BA Malware detection Anti Spam M A Data Classification DC Intrusion Detection & Prevention I Defensive AI (Blue Team) Cyber Threat Intelligence (CTI) CTI Wale Omolere Role of Ai in cyber security
- 16. 16 www.smartlearninguk.com16 www.smartlearninguk.com 04Conditional attacks 05 Classifying victims CA CV 01 Malware creations 02 Smart botnets MC SB 06 Adversarial AI AAI 03 Spear phishing SP Offensive AI (Red Team) Wale Omolere Role of Ai in cyber security
- 17. 17 www.smartlearninguk.com17 www.smartlearninguk.com Datapoisoning Feedback Weaponization Adversarial Inputs Model stealing Adversarial AI Wale Omolere Role of Ai in cyber security
- 18. 18 www.smartlearninguk.com18 www.smartlearninguk.com SAPNS2 CrowdStrike S C Cylance Carbon Black C CB Webroot W Darktrace D Cyber Security Application Using AI Callsign C Wale Omolere Role of Ai in cyber security
- 19. 19 www.smartlearninguk.com19 www.smartlearninguk.com AIfor Network Threat Identification AI-based Antivirus Software AI for Fighting AI Threats AI for Email Monitoring AI-based User Behaviour Modelling 01 02 03 04 05 AI Cyber Security Use Case Wale Omolere Role of Ai in cyber security
- 20. 20 www.smartlearninguk.com20 www.smartlearninguk.com WhatResources Does the System Require? What About Recurring and Additive Costs? Can the System Adapt as Your Network Evolves and Expands? How does the AI learn? What volume of data is required? How often is retraining needed? The considerations you should make when choosing an AI-based platform How to Choose an AI-based Cyber Security Platform Is the solution efficient? Is It Really Unsupervised? What are the error rates? Is the error rate acceptable to achieve detection? Wale Omolere Role of Ai in cyber security
- 21.
- 22. 22 www.smartlearninguk.com22 www.smartlearninguk.com THANKYOU for LISTENING its QUESTION TIME