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    Home»News»Aviad Hasnis, CTO of Cynet – Interview Sequence
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    Aviad Hasnis, CTO of Cynet – Interview Sequence

    Arjun PatelBy Arjun PatelMay 23, 2025No Comments7 Mins Read
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    Aviad Hasnis, CTO of Cynet – Interview Sequence
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    Aviad Hasnis, CTO at Cynet Safety, leads the corporate’s cybersecurity expertise technique, together with growth of its prolonged detection and response (XDR) platform, risk analysis, and managed detection and response (MDR) providers. Previous to Cynet, he held senior cybersecurity roles within the Israel Protection Forces and holds superior levels in engineering and physics from the Technion.

    Cynet Safety provides an all-in-one automated cybersecurity platform designed to simplify safety for small and mid-sized organizations. Its resolution integrates endpoint, community, person, e-mail, and cloud safety with built-in automation, XDR capabilities, and 24/7 MDR assist.

    Cybersecurity is an ever-evolving discipline. How do you steadiness staying forward of threats whereas conserving options user-friendly and accessible to small and mid-sized companies?

    Lean SMB safety groups should confront the identical threats dealing with a Fortune 500 — with a fraction of the personnel or assets or funds. As cyberattacks soar in quantity and complexity, SMB safety leaders are driving demand for simplified, automated and consolidated safety options to cut back complexity and enhance safety.

    At Cynet, my workforce purposely constructed the All-in-One Cybersecurity Platform to mix a full suite of safety capabilities on a single, easy, AI-enabled resolution.

    • By unifying environment-wide visibility and safety on one intuitive dashboard, Cynet maximizes user-friendly simplicity.
    • By automating key safety processes, Cynet helps lean groups maximize effectivity.

    Cynet’s platform is described as natively automated—are you able to clarify how AI and automation play a task in detecting and mitigating cyber threats?

    My workforce designed Cynet’s All-in-One Cybersecurity Platform to automate processes so folks can spend much less time managing day-to-day operations and extra time constructing their enterprise.

    At Cynet, my workforce additionally takes satisfaction in a “constructed, not purchased” method. Each functionality, characteristic and automation of the All-in-One Cybersecurity Platform is developed in-house, from the bottom up, and natively built-in so every part simply works seamlessly out of the field. This eliminates integration gaps and overlaps that may compromise automated protections.

    The MITRE ATT&CK evaluations ranked Cynet among the many prime performers. What AI-driven methods contributed to this success?

    I’m immensely pleased with my workforce’s contributions to Cynet’s record-breaking efficiency in the latest MITRE ATT&CK Analysis. There’s a superb motive MITRE ATT&CK is probably the most trusted impartial evaluation amongst cybersecurity determination makers. MITRE makes use of real-world cyberattack situations to measure the efficiency of competing safety platforms. That Cynet was the one vendor to realize 100% Safety and 100% Detection Visibility displays our dedication to constructing a dependable product for Cynet companions and clients all over the world.

    AI-based cybersecurity has been criticized for potential false positives and adversarial assaults. How does Cynet guarantee accuracy and robustness in its risk detection?

    AI-enabled cybersecurity options are simplest when built-in with knowledgeable oversight. Whereas AI can course of and analyze huge quantities of knowledge quickly, it’s essential to have skilled cybersecurity professionals offering ongoing supervision. My workforce at Cynet ensures that AI techniques’ choices are repeatedly validated, stopping conditions the place AI may probably miss nuanced threats or make incorrect conclusions. In cybersecurity, the place dangers evolve shortly, human experience is important to decoding outcomes and making context-sensitive choices.

    To supply companions and clients with a further layer of safety, Cynet backs the All-in-One Cybersecurity Platform with around-the-clock SOC assist. Cynet’s SOC is staffed 24/7 by world-class analysts, guaranteeing that end-user environments are proactively monitored always, complementing automated scans. This distinctive mixture of automated safety and hands-on experience maximizes the peace of thoughts for Cynet companions and clients.

    With the rise of deepfake assaults, AI-generated malware, and complex social engineering, what rising cybersecurity threats concern you probably the most?

    We’re intently watching how generative AI is being weaponized—not simply to craft deepfakes, however to automate phishing, generate polymorphic malware, and simulate legit person conduct. However all these AI-powered ways are merely advanced means to a well-known finish: tricking folks. Subsequently, it’s not sufficient to easily maintain cybercriminals “out”. Safety groups additionally should be capable of monitor person conduct and community exercise for irregular indicators, and that’s a precedence AI can help.

    To make sure our automated protections keep a step forward of AI-enabled cyberattacks, Cynet’s product roadmap incorporates the newest safety analyst insights, in addition to direct enter from Cynet companions and clients.

    Ransomware assaults proceed to evolve—how does Cynet’s AI-driven safety forestall and mitigate these assaults?

    To thwart ransomware assaults, early detection is vital. By robotically detecting threats, figuring out their root trigger, eradicating all assault elements all through the surroundings, and delivering a report to substantiate remediation, the All-in-One Cybersecurity Platform reduces guide incident dealing with by 90% and delivers 50 instances quicker outcomes.

    Do you see autonomous cybersecurity—the place AI independently detects and responds to threats with out human intervention—turning into a actuality quickly?

    Although AI can automate detection and response, human analysts ought to at all times have the ultimate say in strategic choices. At Cynet, we embrace AI-driven automation whereas guaranteeing that safety professionals stay engaged in high-value problem-solving.

    • The Cynet All-in-One Cybersecurity Platform automates key safety processes, lowering the burden of guide operations so safety groups can concentrate on strategic initiatives fairly than routine duties.
    • In incident response, Cynet robotically detects threats, determines root causes, eradicates assault elements, and delivers detailed reviews. This automation reduces guide incident dealing with by 90% and achieves 50-times quicker outcomes.
    • Regardless of this excessive stage of automation, we at all times emphasize human oversight. Our 24/7 SOC workforce repeatedly displays environments, validates alerts, and ensures that AI-driven actions align with safety greatest practices.

    This balanced method ensures that automated techniques work as meant whereas permitting human consultants to supply crucial perception and intervention when crucial.

    What position do giant language fashions (LLMs) play in cybersecurity? Can they be leveraged for each offense and protection?

    Cybercriminals are placing LLMs to all kinds of no good. Guardrails to forestall mainstream GenAI platforms from performing malicious exercise will be bypassed with relative ease. Social engineering scams will be launched at scale with the clicking of a button. Mixed with quick access to malware kits and RaaS in cybercriminal boards, the bar for cybercriminals to do injury is decrease than ever. With genAI, aspiring script kiddies now not want superior hacking expertise to do actual injury.

    AI can also be being utilized by risk actors to automate cyberattacks. How do you see the AI arms race in cybersecurity enjoying out?

    The AI arms race in cybersecurity is properly underway, with attackers utilizing AI to automate phishing campaigns, generate deepfake content material and create extra superior malware. These applied sciences permit cybercriminals to scale their assaults quickly and make them tougher to detect, rising the general risk panorama.

    My Cynet teammates and I assist safety groups battle AI-enabled hearth with AI-enabled hearth. We automate detection, evaluation, response and reporting to facilitate outcomes far quicker than human groups alone may. The important thing to sustaining an edge is to repeatedly refine fashions with up-to-date, high-quality knowledge, improve automated defenses, and combine real-world risk intelligence to adapt to evolving ways. As AI-driven threats develop extra refined, proactive protection methods will likely be crucial in staying forward of attackers.

    How do you see quantum computing affecting cybersecurity within the subsequent decade? Is Cynet getting ready for potential quantum threats?

    Quantum computing is an intriguing however distant frontier in cybersecurity. Whereas it has the potential to interrupt conventional encryption strategies, I don’t see it as a right away threat within the subsequent few years. In contrast to generative AI, which is broadly accessible and already impacting cybersecurity, quantum computing stays largely confined to analysis labs and nation-state-level initiatives.

    Presently, financially motivated adversaries would face important hurdles to entry and use quantum computing for malicious functions. The complexity and assets required to conduct a quantum-based cyberattack probably preclude mainstream deployment in the meanwhile. That stated, it’s vital for cybersecurity distributors to keep up a proactive method to R&D. Quantum is definitely an space my workforce will likely be maintaining a tally of because the expertise advances from theoretical to proof of idea to one thing organizations would possibly really face within the wild.

    Thanks for the nice interview, readers who want to be taught extra ought to go to Cynet Safety.

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    Arjun Patel
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