Rammohan Thirupasur
@rthirupasur.bsky.social
All things AI , Security , Product Management
10/
Let’s shape the future together!
What services would you want AI Agents to autonomously handle for your business? 🤔💼
Drop your thoughts below! 👇
#AIInBusiness #TechTrends #AIRevolution
Let’s shape the future together!
What services would you want AI Agents to autonomously handle for your business? 🤔💼
Drop your thoughts below! 👇
#AIInBusiness #TechTrends #AIRevolution
November 20, 2024 at 8:45 AM
10/
Let’s shape the future together!
What services would you want AI Agents to autonomously handle for your business? 🤔💼
Drop your thoughts below! 👇
#AIInBusiness #TechTrends #AIRevolution
Let’s shape the future together!
What services would you want AI Agents to autonomously handle for your business? 🤔💼
Drop your thoughts below! 👇
#AIInBusiness #TechTrends #AIRevolution
9/
The ultimate potential?
A world where businesses subscribe to services, not just software licenses. AI Agents ensure these services adapt to your needs—automatically, intelligently, and autonomously! 🌍🤖 #BusinessInnovation #SaaS2024
The ultimate potential?
A world where businesses subscribe to services, not just software licenses. AI Agents ensure these services adapt to your needs—automatically, intelligently, and autonomously! 🌍🤖 #BusinessInnovation #SaaS2024
November 20, 2024 at 8:45 AM
9/
The ultimate potential?
A world where businesses subscribe to services, not just software licenses. AI Agents ensure these services adapt to your needs—automatically, intelligently, and autonomously! 🌍🤖 #BusinessInnovation #SaaS2024
The ultimate potential?
A world where businesses subscribe to services, not just software licenses. AI Agents ensure these services adapt to your needs—automatically, intelligently, and autonomously! 🌍🤖 #BusinessInnovation #SaaS2024
8/
Challenges in adopting Service as a Software:
Trust in AI Decisions 🤝
Ethical Deployment ⚖️
Data Privacy and Compliance 🔐
These are critical questions for every SaaS 2.0 player. #AIChallenges #SaaSEthics
Challenges in adopting Service as a Software:
Trust in AI Decisions 🤝
Ethical Deployment ⚖️
Data Privacy and Compliance 🔐
These are critical questions for every SaaS 2.0 player. #AIChallenges #SaaSEthics
November 20, 2024 at 8:45 AM
8/
Challenges in adopting Service as a Software:
Trust in AI Decisions 🤝
Ethical Deployment ⚖️
Data Privacy and Compliance 🔐
These are critical questions for every SaaS 2.0 player. #AIChallenges #SaaSEthics
Challenges in adopting Service as a Software:
Trust in AI Decisions 🤝
Ethical Deployment ⚖️
Data Privacy and Compliance 🔐
These are critical questions for every SaaS 2.0 player. #AIChallenges #SaaSEthics
7/
Is this the end of user interfaces?
Not quite!
UI evolves into a collaborative dashboard:
AI Agents make decisions 🤔
Humans supervise and fine-tune 🧑💻
It’s a partnership, not a replacement! ✨ #HumanAICollaboration
Is this the end of user interfaces?
Not quite!
UI evolves into a collaborative dashboard:
AI Agents make decisions 🤔
Humans supervise and fine-tune 🧑💻
It’s a partnership, not a replacement! ✨ #HumanAICollaboration
November 20, 2024 at 8:45 AM
7/
Is this the end of user interfaces?
Not quite!
UI evolves into a collaborative dashboard:
AI Agents make decisions 🤔
Humans supervise and fine-tune 🧑💻
It’s a partnership, not a replacement! ✨ #HumanAICollaboration
Is this the end of user interfaces?
Not quite!
UI evolves into a collaborative dashboard:
AI Agents make decisions 🤔
Humans supervise and fine-tune 🧑💻
It’s a partnership, not a replacement! ✨ #HumanAICollaboration
6/
Example in action:
🔹 Old SaaS: A CRM tool where sales teams manually enter and analyze data.
🔹 SaaS 2.0: An AI Agent CRM automates lead follow-ups, analyzes customer sentiment, and drafts responses—all autonomously! 🤖💬
#SalesAutomation #CRM
Example in action:
🔹 Old SaaS: A CRM tool where sales teams manually enter and analyze data.
🔹 SaaS 2.0: An AI Agent CRM automates lead follow-ups, analyzes customer sentiment, and drafts responses—all autonomously! 🤖💬
#SalesAutomation #CRM
November 20, 2024 at 8:45 AM
6/
Example in action:
🔹 Old SaaS: A CRM tool where sales teams manually enter and analyze data.
🔹 SaaS 2.0: An AI Agent CRM automates lead follow-ups, analyzes customer sentiment, and drafts responses—all autonomously! 🤖💬
#SalesAutomation #CRM
Example in action:
🔹 Old SaaS: A CRM tool where sales teams manually enter and analyze data.
🔹 SaaS 2.0: An AI Agent CRM automates lead follow-ups, analyzes customer sentiment, and drafts responses—all autonomously! 🤖💬
#SalesAutomation #CRM
5/
With Service as a Software, businesses can:
Reduce operational overhead 🏢
Scale services dynamically 📈
Deliver hyper-personalized experiences 💌
AI Agents make SaaS not just smarter—but service-first! ⚡ #AIAgents #SaaSRevolution
With Service as a Software, businesses can:
Reduce operational overhead 🏢
Scale services dynamically 📈
Deliver hyper-personalized experiences 💌
AI Agents make SaaS not just smarter—but service-first! ⚡ #AIAgents #SaaSRevolution
November 20, 2024 at 8:45 AM
5/
With Service as a Software, businesses can:
Reduce operational overhead 🏢
Scale services dynamically 📈
Deliver hyper-personalized experiences 💌
AI Agents make SaaS not just smarter—but service-first! ⚡ #AIAgents #SaaSRevolution
With Service as a Software, businesses can:
Reduce operational overhead 🏢
Scale services dynamically 📈
Deliver hyper-personalized experiences 💌
AI Agents make SaaS not just smarter—but service-first! ⚡ #AIAgents #SaaSRevolution
4/
Key Enablers of SaaS 2.0:
1️⃣ Generative AI (GPT, Codex, DALL·E)
2️⃣ Autonomous Agents (AutoGPT, LangChain)
3️⃣ API Ecosystems for seamless integration
4️⃣ Contextual Learning for real-time adaptation
This convergence is transforming software! 🔗💻 #AIInnovation
Key Enablers of SaaS 2.0:
1️⃣ Generative AI (GPT, Codex, DALL·E)
2️⃣ Autonomous Agents (AutoGPT, LangChain)
3️⃣ API Ecosystems for seamless integration
4️⃣ Contextual Learning for real-time adaptation
This convergence is transforming software! 🔗💻 #AIInnovation
November 20, 2024 at 8:45 AM
4/
Key Enablers of SaaS 2.0:
1️⃣ Generative AI (GPT, Codex, DALL·E)
2️⃣ Autonomous Agents (AutoGPT, LangChain)
3️⃣ API Ecosystems for seamless integration
4️⃣ Contextual Learning for real-time adaptation
This convergence is transforming software! 🔗💻 #AIInnovation
Key Enablers of SaaS 2.0:
1️⃣ Generative AI (GPT, Codex, DALL·E)
2️⃣ Autonomous Agents (AutoGPT, LangChain)
3️⃣ API Ecosystems for seamless integration
4️⃣ Contextual Learning for real-time adaptation
This convergence is transforming software! 🔗💻 #AIInnovation
3/
AI Agents act as your personal digital team:
Draft documents 📄
Handle customer queries 📨
Automate workflows 🤝
Optimize resource allocation 📊
AI Agents act as your personal digital team:
Draft documents 📄
Handle customer queries 📨
Automate workflows 🤝
Optimize resource allocation 📊
November 20, 2024 at 8:45 AM
3/
AI Agents act as your personal digital team:
Draft documents 📄
Handle customer queries 📨
Automate workflows 🤝
Optimize resource allocation 📊
AI Agents act as your personal digital team:
Draft documents 📄
Handle customer queries 📨
Automate workflows 🤝
Optimize resource allocation 📊
2/
What’s the difference?
SaaS: Tools for humans to get things done.
Service as a Software (SaaS 2.0): AI Agents get things done for humans. 🛠️➡️🤖
Imagine a world where your software does the heavy lifting autonomously! 💼✨ #AITransformation
What’s the difference?
SaaS: Tools for humans to get things done.
Service as a Software (SaaS 2.0): AI Agents get things done for humans. 🛠️➡️🤖
Imagine a world where your software does the heavy lifting autonomously! 💼✨ #AITransformation
November 20, 2024 at 8:45 AM
2/
What’s the difference?
SaaS: Tools for humans to get things done.
Service as a Software (SaaS 2.0): AI Agents get things done for humans. 🛠️➡️🤖
Imagine a world where your software does the heavy lifting autonomously! 💼✨ #AITransformation
What’s the difference?
SaaS: Tools for humans to get things done.
Service as a Software (SaaS 2.0): AI Agents get things done for humans. 🛠️➡️🤖
Imagine a world where your software does the heavy lifting autonomously! 💼✨ #AITransformation
12/ In conclusion, IT-OT convergence is inevitable, but it comes with risks. Threat modeling ensures we understand those risks and design systems resilient to modern cyber threats. Let's make our critical infrastructure safer! 🔒🌐
November 15, 2024 at 11:14 AM
12/ In conclusion, IT-OT convergence is inevitable, but it comes with risks. Threat modeling ensures we understand those risks and design systems resilient to modern cyber threats. Let's make our critical infrastructure safer! 🔒🌐
11/ Regulatory Considerations:
IT-OT systems often fall under stricter compliance requirements. Frameworks like NIST 800-82, IEC 62443, and sector-specific regulations guide securing converged environments. 🛡️
IT-OT systems often fall under stricter compliance requirements. Frameworks like NIST 800-82, IEC 62443, and sector-specific regulations guide securing converged environments. 🛡️
November 15, 2024 at 11:14 AM
11/ Regulatory Considerations:
IT-OT systems often fall under stricter compliance requirements. Frameworks like NIST 800-82, IEC 62443, and sector-specific regulations guide securing converged environments. 🛡️
IT-OT systems often fall under stricter compliance requirements. Frameworks like NIST 800-82, IEC 62443, and sector-specific regulations guide securing converged environments. 🛡️
10/ Collaboration is Key:
IT and OT teams often have different priorities. IT prioritizes confidentiality; OT prioritizes availability. Threat modeling bridges this gap, enabling cross-functional understanding and joint security strategies. 🤝
IT and OT teams often have different priorities. IT prioritizes confidentiality; OT prioritizes availability. Threat modeling bridges this gap, enabling cross-functional understanding and joint security strategies. 🤝
November 15, 2024 at 11:14 AM
10/ Collaboration is Key:
IT and OT teams often have different priorities. IT prioritizes confidentiality; OT prioritizes availability. Threat modeling bridges this gap, enabling cross-functional understanding and joint security strategies. 🤝
IT and OT teams often have different priorities. IT prioritizes confidentiality; OT prioritizes availability. Threat modeling bridges this gap, enabling cross-functional understanding and joint security strategies. 🤝
9/ Mitigation Strategies:
Network Segmentation: Separate IT and OT networks with secure gateways.
Zero Trust Principles: Assume nothing and verify everything.
Real-Time Monitoring: Use SIEMs and OT-specific monitoring tools to detect anomalies.
Network Segmentation: Separate IT and OT networks with secure gateways.
Zero Trust Principles: Assume nothing and verify everything.
Real-Time Monitoring: Use SIEMs and OT-specific monitoring tools to detect anomalies.
November 15, 2024 at 11:14 AM
9/ Mitigation Strategies:
Network Segmentation: Separate IT and OT networks with secure gateways.
Zero Trust Principles: Assume nothing and verify everything.
Real-Time Monitoring: Use SIEMs and OT-specific monitoring tools to detect anomalies.
Network Segmentation: Separate IT and OT networks with secure gateways.
Zero Trust Principles: Assume nothing and verify everything.
Real-Time Monitoring: Use SIEMs and OT-specific monitoring tools to detect anomalies.
8/ IT-OT Threat Scenarios:
Ransomware on IT impacts OT processes by halting operations.
Supply Chain Attacks compromise a trusted vendor's software to infiltrate both IT & OT networks.
Protocol Exploits targeting weak industrial protocols like Modbus, OPC, or DNP3
Ransomware on IT impacts OT processes by halting operations.
Supply Chain Attacks compromise a trusted vendor's software to infiltrate both IT & OT networks.
Protocol Exploits targeting weak industrial protocols like Modbus, OPC, or DNP3
November 15, 2024 at 11:14 AM
8/ IT-OT Threat Scenarios:
Ransomware on IT impacts OT processes by halting operations.
Supply Chain Attacks compromise a trusted vendor's software to infiltrate both IT & OT networks.
Protocol Exploits targeting weak industrial protocols like Modbus, OPC, or DNP3
Ransomware on IT impacts OT processes by halting operations.
Supply Chain Attacks compromise a trusted vendor's software to infiltrate both IT & OT networks.
Protocol Exploits targeting weak industrial protocols like Modbus, OPC, or DNP3
7/ Threat Modeling Frameworks to Leverage:
STRIDE (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privileges)
MITRE ATT&CK for ICS: Catalog of tactics/techniques targeting industrial control systems.
STRIDE (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privileges)
MITRE ATT&CK for ICS: Catalog of tactics/techniques targeting industrial control systems.
November 15, 2024 at 11:14 AM
7/ Threat Modeling Frameworks to Leverage:
STRIDE (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privileges)
MITRE ATT&CK for ICS: Catalog of tactics/techniques targeting industrial control systems.
STRIDE (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privileges)
MITRE ATT&CK for ICS: Catalog of tactics/techniques targeting industrial control systems.
6/ Key Steps in IT-OT Threat Modeling:
1️⃣ Asset Identification: Map all IT and OT assets. Include sensors, PLCs, SCADA, and IIoT devices.
2️⃣ Data Flow Analysis: Document data flow between IT and OT networks.
3️⃣ Attack Surface Mapping: Highlight interfaces ( APIs, protocols) where attacks could occur.
1️⃣ Asset Identification: Map all IT and OT assets. Include sensors, PLCs, SCADA, and IIoT devices.
2️⃣ Data Flow Analysis: Document data flow between IT and OT networks.
3️⃣ Attack Surface Mapping: Highlight interfaces ( APIs, protocols) where attacks could occur.
November 15, 2024 at 11:14 AM
6/ Key Steps in IT-OT Threat Modeling:
1️⃣ Asset Identification: Map all IT and OT assets. Include sensors, PLCs, SCADA, and IIoT devices.
2️⃣ Data Flow Analysis: Document data flow between IT and OT networks.
3️⃣ Attack Surface Mapping: Highlight interfaces ( APIs, protocols) where attacks could occur.
1️⃣ Asset Identification: Map all IT and OT assets. Include sensors, PLCs, SCADA, and IIoT devices.
2️⃣ Data Flow Analysis: Document data flow between IT and OT networks.
3️⃣ Attack Surface Mapping: Highlight interfaces ( APIs, protocols) where attacks could occur.
5/ Unique Challenges in IT-OT Threat Modeling:
Legacy Systems: Many OT systems weren't built with cybersecurity in mind.
Real-Time Operations: Downtime = $$$ or lives at risk.
Complex Interdependencies: Attacks on IT can cascade to OT (and vice versa).
Legacy Systems: Many OT systems weren't built with cybersecurity in mind.
Real-Time Operations: Downtime = $$$ or lives at risk.
Complex Interdependencies: Attacks on IT can cascade to OT (and vice versa).
November 15, 2024 at 11:14 AM
5/ Unique Challenges in IT-OT Threat Modeling:
Legacy Systems: Many OT systems weren't built with cybersecurity in mind.
Real-Time Operations: Downtime = $$$ or lives at risk.
Complex Interdependencies: Attacks on IT can cascade to OT (and vice versa).
Legacy Systems: Many OT systems weren't built with cybersecurity in mind.
Real-Time Operations: Downtime = $$$ or lives at risk.
Complex Interdependencies: Attacks on IT can cascade to OT (and vice versa).
4/ Enter Threat Modeling: A systematic approach to identifying, understanding, and mitigating potential threats. In IT-OT systems, this is critical because a cyber incident isn't just about data—it can disrupt physical operations and safety systems. 💥
November 15, 2024 at 11:14 AM
4/ Enter Threat Modeling: A systematic approach to identifying, understanding, and mitigating potential threats. In IT-OT systems, this is critical because a cyber incident isn't just about data—it can disrupt physical operations and safety systems. 💥
3/ But here's I see a challenge: OT systems were not designed for IT-style cyber threats. Historically, they focused on reliability and availability. Now, with IT-OT integration, cyberattack surfaces expand, creating new vulnerabilities. ⚠️
November 15, 2024 at 11:14 AM
3/ But here's I see a challenge: OT systems were not designed for IT-style cyber threats. Historically, they focused on reliability and availability. Now, with IT-OT integration, cyberattack surfaces expand, creating new vulnerabilities. ⚠️
2/ What is IT-OT Convergence?
IT (data-centric systems) + OT (control systems for industrial processes) are integrating to enable better operational efficiency, data analytics, and remote management. Think smart factories, connected grids, and autonomous vehicles. 🚀
IT (data-centric systems) + OT (control systems for industrial processes) are integrating to enable better operational efficiency, data analytics, and remote management. Think smart factories, connected grids, and autonomous vehicles. 🚀
November 15, 2024 at 11:14 AM
2/ What is IT-OT Convergence?
IT (data-centric systems) + OT (control systems for industrial processes) are integrating to enable better operational efficiency, data analytics, and remote management. Think smart factories, connected grids, and autonomous vehicles. 🚀
IT (data-centric systems) + OT (control systems for industrial processes) are integrating to enable better operational efficiency, data analytics, and remote management. Think smart factories, connected grids, and autonomous vehicles. 🚀