4 new capabilities to level up your AI security with Straiker's April 2025 release

#Cybersécurité #IA #AgentsIntelligents #ISC2025 #Pékin

Imagine a single rogue line of code slipping past your tired eyes - and suddenly your entire app is compromised. AI coding agents could be the silent saboteurs of the next big cybersecurity crisis.

AI is not replacing cybersecurity pros; it is empowering them. DARPA's AI Cyber Challenge at DEF CON 33 showcased AI fixing software vulnerabilities, pushing open-source AI to protect critical infrastructure. Theori's third-place finish highlights AIs growing importance. Watch now! #AICybersecurity #DEFCON33 2025-08-14T003012.327+0200 Tools used for generation Text Gemini Narator Azure TTS Clips Pexel Rendering Remotion

🛡️ AI-Powered Cybersecurity: Your 24/7 Digital Bodyguard Against Hackers 🤖 Every 39 seconds, a cyberattack happens-but AI fights back! Discover how machine learning and anomaly detection work as your digital superhero to: ✅ Predict threats BEFORE they strike ✅ Scan 1M+ data points per second ✅ Block phishing attacks instantly 💡 Pro Tips: 🔹 Always enable Multi-Factor Authentication (MFA) 🔹 Update software WEEKLY-AI improves with fresh data! 🔹 Never reuse passwords (yes, AI can't fix this!) 📢 Subscribe for AI tech breakdowns 🔗 Recommended AI Tools: Norton AI - Darktrace - CrowdStrike 📌 #AICybersecurity #HackerProtection #CyberDefense #MachineLearning #TechTips #PhishingProtection SEO keywords: AI cybersecurity tools, stop cyberattacks, phishing detection, machine learning security, anomaly detection, threat prediction ▬▬▬▬▬▬ 🔗 Additional Info 🔗 ▬▬▬▬▬▬ ✍️ Blog: https://dougortiz.blogspot.com/ ▬▬▬▬▬▬ 👋 Contact me 👋 ▬▬▬▬▬▬ ➡ LinkedIn: https://www.linkedin.com/in/doug-ortiz-illustris/ ▬▬▬▬▬▬ ⏱ Timestamps ⏱ ▬▬▬▬▬▬ 00:00 Introduction to AI-Powered Cybersecurity 00:17 The Role of AI in Cybersecurity 00:33 Key AI Techniques in Cybersecurity 01:01 How AI-Powered Cybersecurity Works 01:34 Common Mistakes & How to Avoid Them 02:02 Actionable Advice for Staying Safe 02:24 Common Questions Answered 02:45 Conclusion

Discover how AI chatbots are mistakenly recommending fake website URLs for major companies, creating a phishing haven.

Straiker is leading the way with our product announcement to secure agentic workflows with MCP.

Adaptive Deception Systems Are Quietly Rewriting the Rules of Digital Defense

Learn strategies from top business leaders to protect your systems from AI-powered cyber threats. Gain expert insights to enhance your security effectively.

Can Your Business Survive the Alarming Rise of Darknet AI Threats? Artificial intelligence (AI) is rapidly transforming both legitimate business

 A growing number of organizations are adopting autonomous AI agents despite widespread concerns about the cybersecurity risks they pose. According to a new global report released by identity security firm SailPoint, this accelerated deployment is happening in a largely unregulated environment. The findings are based on a survey of more than 350 IT professionals, revealing that 84% of respondents said their organizations already use AI agents internally.  However, only 44% confirmed the presence of any formal policies to regulate the agents’ actions. AI agents differ from traditional chatbots in that they are designed to independently plan and execute tasks without constant human direction. Since the emergence of generative AI tools like ChatGPT in late 2022, major tech companies have been racing to launch their own agents. Many smaller businesses have followed suit, motivated by the desire for operational efficiency and the pressure to adopt what is widely viewed as a transformative technology.   Despite this enthusiasm, 96% of survey participants acknowledged that these autonomous systems pose security risks, while 98% stated their organizations plan to expand AI agent usage within the next year. The report warns that these agents often have extensive access to sensitive systems and information, making them a new and significant attack surface for cyber threats. Chandra Gnanasambandam, SailPoint’s Executive Vice President of Product and Chief Technology Officer, emphasized the risks associated with such broad access. He explained that these systems are transforming workflows but typically operate with minimal oversight, which introduces serious vulnerabilities.  Further compounding the issue is the inconsistent implementation of governance controls. Although 92% of those surveyed agree that AI agents should be governed similarly to human employees, 80% reported incidents where agents performed unauthorized actions or accessed restricted data. These incidents underscore the dangers of deploying autonomous systems without robust monitoring or access controls.  Gnanasambandam suggests adopting an identity-first approach to agent management. He recommends applying the same security protocols used for human users, including real-time access permissions, least privilege principles, and comprehensive activity tracking. Without such measures, organizations risk exposing themselves to breaches or data misuse due to the very tools designed to streamline operations.  As AI agents become more deeply embedded in business processes, experts caution that failing to implement adequate oversight could create long-term vulnerabilities. The report serves as a timely reminder that innovation must be accompanied by strong governance to ensure cybersecurity is not compromised in the pursuit of automation.

New in this release: flexible CI/CD integration, comprehensive runtime document protection, and adaptable deployment options, enabling security teams to protect AI applications without constraining…

 Deepfake technology, developed through artificial intelligence, has advanced to the point where it can convincingly replicate human voices, facial expressions, and subtle movements. While once regarded as a novelty for entertainment or social media, it has now become a dangerous tool for cybercriminals. In the financial world, deepfakes are being used in increasingly sophisticated ways to deceive institutions and individuals, creating scenarios where it becomes nearly impossible to distinguish between genuine interactions and fraudulent attempts. This makes financial fraud more convincing and therefore more difficult to prevent.  One of the most troubling ways scammers exploit this technology is through face-swapping. With many banks now relying on video calls for identity verification, criminals can deploy deepfake videos to impersonate real customers. By doing so, they can bypass security checks and gain unauthorized access to accounts or approve financial decisions on behalf of unsuspecting individuals. The realism of these synthetic videos makes them difficult to detect in real time, giving fraudsters a significant advantage.  Another major risk involves voice cloning. As voice-activated banking systems and phone-based transaction verifications grow more common, fraudsters use audio deepfakes to mimic a customer’s voice. If a bank calls to confirm a transaction, criminals can respond with cloned audio that perfectly imitates the customer, bypassing voice authentication and seizing control of accounts. Scammers also use voice and video deepfakes to impersonate financial advisors or bank representatives, making victims believe they are speaking to trusted officials. These fraudulent interactions may involve fake offers, urgent warnings, or requests for sensitive data, all designed to extract confidential information.  The growing realism of deepfakes means consumers must adopt new habits to protect themselves. Double-checking unusual requests is a critical step, as fraudsters often rely on urgency or trust to manipulate their targets. Verifying any unexpected communication by calling a bank’s official number or visiting in person remains the safest option. Monitoring accounts regularly is another defense, as early detection of unauthorized or suspicious activity can prevent larger financial losses. Setting alerts for every transaction, even small ones, can make fraudulent activity easier to spot.  Using multi-factor authentication adds an essential layer of protection against these scams. By requiring more than just a password to access accounts, such as one-time codes, biometrics, or additional security questions, banks make it much harder for criminals to succeed, even if deepfakes are involved. Customers should also remain cautious of video and audio communications requesting sensitive details. Even if the interaction appears authentic, confirming through secure channels is far more reliable than trusting what seems real on screen or over the phone.   Deepfake-enabled fraud is dangerous precisely because of how authentic it looks and sounds. Yet, by staying vigilant, educating yourself about emerging scams, and using available security tools, it is possible to reduce risks. Awareness and skepticism remain the strongest defenses, ensuring that financial safety is not compromised by increasingly deceptive digital threats.