In this blog post
AI for Cyber Defense
Cybercriminals are increasingly leveraging Artificial Intelligence to detect vulnerable enterprises and to launch highly sophisticated cyberattacks. Enterprise infrastructure is also growing beyond the confines of on-premise and moving towards cloud, XaaS, IoT, and IIoTs, etc. This has changed the game and rendered traditional methods of cyber security insufficient.
GAVS conducted a webinar on ‘AI for Cyber Defense’, where industry veterans in the cyber security space discussed about the pitfalls of traditional cyber security methods, the need for a unified cyber security platform, and the use of Artificial Intelligence and Machine Learning for proactive detection and elimination of threats in real-time. This blog captures some of the key discussion points and takeaways from the webinar.
The webinar speakers included thought leaders from GAVS and Mr. Tom Ertel. Tom Ertel is the Senior Vice President of Technical Sales and Strategic Accounts at Seceon Inc. and has over 30 years of experience in network and security. Tom is currently working with key customers to help them understand how a secure platform can protect their networks and assets from being attacked and breached by the increasing threats from cybercriminals.
AI and ML for Cyber Security across Industries
To combat the growing attack surface, there is a complete shift in the industry towards zero trust which ensures that every resource inside or outside the enterprise network is continuously authenticated and validated before gaining access to any organizational asset. Cyber security cannot just be the responsibility of the specific function; it needs to become part of every action of every single employee and every single function – be it finance, marketing, or development. There is now strong emphasis on tight integration of cyber security from the get-go in development efforts and processes and is the basis of many new cyber security frameworks. There is also an unprecedented focus on Extended Detection Response (XDR) since applications and data are no longer confined to the physical office boundaries. Users are accessing data and applications from the cloud and from their mobile devices, that reiterates the urgent need to enhance security by adapting to changing business scenarios.
The fundamentals of IT hygiene aspects apply to all industries. Most often, a lack of IT hygiene causes security incidents and creates loopholes that can be exploited. But the approach – from a compliance standpoint, needs to be tailored for each industry. For instance, the problems for healthcare are unique – the industry deals with PHI that can easily be weaponized through ransomware-based attacks. Basic IT routines such as immutable backups could be missing in the industry, leading to medical device vulnerabilities, or breaches of firewall that could expose them to a wide range of attacks if not remediated.
Here are some high-level advantages of using AI/ML platforms in cyber security:
- Offer wide coverage across various aspects within cyber security
- Reduce the strain on security analysts as a lot of the work is automated
- Gather patterns and insights that can help make meaningful decisions
- Get better with time with continuous learning from historical data and human interventions
- Enable a proactive approach by predicting attack patterns
- Identify false positives through correlation between predictions, incidents, actual diagnostics
- Drastically reduce the time spent on duplicate or false alarms
- Enhanced learning through contextual correlation between devices also
- Rich learning capabilities through reinforcement learning, unsupervised learning
The Open Threat Management (OTM) Platform from Seceon
In the evolving context of remote workplaces and sophisticated attacks, any weakness such as compromised credentials of endpoint users, malware downloaded from a malicious website, use of public Wi-fi for business applications could play into the hands of adversaries. Seceon’s aiXDRTM and aiMSSPTM plat-forms are built on the OTM platform. Some highlights:
- Built on Big/Fast Data architecture
- Comprehensive solution in a single platform unlike siloed tools
- Dynamic threat models, AI-led actionable contextual awareness, advanced threat intelligence
- Out-of-the-box solution that automatically presents only analyzed or verified threats
- AI-led proactive threat detection, automated real-time response & remediation
- Covers compliance and a broad spectrum of use cases
- Proactive threat hunting leveraging global threat intelligence, contextual & behavioral analytics
- 360o visibility into threat landscape, continuous asset tracking & monitoring, anomaly detection
Future of AI in Cyber Defense
As we continue to implement new algorithms and new technologies, it is clear that organizations will have to keep up with new technology as and when they become available, known, and trusted. With the ex-panding adoption of SaaS-based solutions across the globe, the traditional network security model needs a thorough upgrade with more focus on identity-based solutions and identity governance. Being at the cusp of digital transformation with AI/ML, cyber security itself will be embedded in many applications as a lot of work needs to be done to keep up with defense threat mechanisms and incident monitoring and response.
This is only a high-level gist of the webinar. You can watch the entire webinar including the poll questions and the experts’ answers to audience questions here. GAVS periodically organizes insightful webinars with GAVS’ tech leaders, the leadership team, and industry thought leaders to explore current and emerging trends. To watch our webinar recordings, please visit https://www.gavstech.com/videos/.
Securing your Enterprise with GAVS
With extensive expertise and rich experience in cyber security and data protection services & solutions, and partnerships with organizations such as Seceon, GAVS takes an integrated approach that is focused on preventing intrusion, minimizing risk, and increasing resilience. This results in a highly secure business environment, and drastically reduces costs of safeguard through AI-led proactive detection and remediation.
GAVS performs thorough end-to-end assessment of organizations and their federated partners to identify areas that are lacking controls and addresses those gaps with appropriate strategy and controls. Our core Cyber Security Services include Infrastructure Security, Digital Identity, Vulnerability Management, Cyber Resilience, and GRC. GAVS’ Data Privacy Services include Advisory & Consulting, Solution Implementation, Managed Services, and Governance. For more information on our AI-driven advanced solutions and services for cyber security and data privacy please visit https://www.gavstech.com/service/security-services/ and https://www.gavstech.com/service/data-privacy-services/.