Common API attacks include several well-known attack vectors:
# Machine in the middle attacks (MITM) allow hackers to quietly intercept communications and requests between two endpoints in a communication channel, enabling them to steal sensitive information.
# DDoS attacks (distributed denial-of-service attacks) attempt to overwhelm memory in an API by requesting thousands of connections simultaneously, tying up all available resources and resulting in a crash.
# SQL injection attacks gain access to software by simply injecting malicious code into poorly developed programs.
Insecure API key generation allows attackers to subvert traditional API security tools by generating and using a variety of API keys from a large pool of users.
# Insufficient logging and monitoring enable hackers to use an initial vulnerability as a foothold to search for additional weaknesses.
# Broken access controls allow attackers to gain access to privileged functions, to modify or delete contents on the website, or to steal sensitive data.
#api
# Machine in the middle attacks (MITM) allow hackers to quietly intercept communications and requests between two endpoints in a communication channel, enabling them to steal sensitive information.
# DDoS attacks (distributed denial-of-service attacks) attempt to overwhelm memory in an API by requesting thousands of connections simultaneously, tying up all available resources and resulting in a crash.
# SQL injection attacks gain access to software by simply injecting malicious code into poorly developed programs.
Insecure API key generation allows attackers to subvert traditional API security tools by generating and using a variety of API keys from a large pool of users.
# Insufficient logging and monitoring enable hackers to use an initial vulnerability as a foothold to search for additional weaknesses.
# Broken access controls allow attackers to gain access to privileged functions, to modify or delete contents on the website, or to steal sensitive data.
#api
Theme No. 1: AI imperatives and risks drive organizations to protect themselves
Trend 1: Agentic AI: Autonomous AI can plan and take action to achieve goals set by the user.
Business benefits: A virtual workforce of agents to assist, offload and augment the work of humans or traditional applications.
Challenges: Requires robust guardrails to ensure alignment with providers’ and users’ intentions.
Trend 2: AI governance platforms: Technology solutions enable organizations to manage the legal, ethical and operational performance of their AI systems.
Business benefits: Create, manage and enforce policies that ensure responsible use of AI, explain how AI systems work, model lifecycle management, and provide transparency to build trust and accountability.
Challenges: AI guidelines vary across regions and industries, making it difficult to establish consistent practices.
Trend 3: Disinformation security: An emerging technology category aimed at systematically discerning trust.
Business benefits: Decreases fraud by strengthening controls for validating identity; prevents account takeover through continuous risk scoring, contextual awareness and a continuous adaptive trust model; and protects brand reputation by identifying harmful narratives.
Challenges: Requires a continuously updated, multilayered, adaptive learning, team approach.
Trend 1: Agentic AI: Autonomous AI can plan and take action to achieve goals set by the user.
Business benefits: A virtual workforce of agents to assist, offload and augment the work of humans or traditional applications.
Challenges: Requires robust guardrails to ensure alignment with providers’ and users’ intentions.
Trend 2: AI governance platforms: Technology solutions enable organizations to manage the legal, ethical and operational performance of their AI systems.
Business benefits: Create, manage and enforce policies that ensure responsible use of AI, explain how AI systems work, model lifecycle management, and provide transparency to build trust and accountability.
Challenges: AI guidelines vary across regions and industries, making it difficult to establish consistent practices.
Trend 3: Disinformation security: An emerging technology category aimed at systematically discerning trust.
Business benefits: Decreases fraud by strengthening controls for validating identity; prevents account takeover through continuous risk scoring, contextual awareness and a continuous adaptive trust model; and protects brand reputation by identifying harmful narratives.
Challenges: Requires a continuously updated, multilayered, adaptive learning, team approach.
Theme No. 2: New frontiers of computing prompt organizations to reconsider how they compute
Trend 4: Post-quantum cryptography (PQC): Data protection that is resistant to quantum computing (QC) decryption risks.
Business benefits: Protects data from the security risks that will come with the advent of quantum computing.
Challenges: PQC algorithms are not drop-in replacements for existing asymmetric algorithms. Current applications may have performance issues, will require testing and may need to be rewritten.
Trend 5: Ambient invisible intelligence: Technology unobtrusively integrated into the environment to enable a more natural, intuitive experiences
Business benefits: Enables low-cost, real-time tracking and sensing of items, improving visibility and efficiency; potential for unforgeable provenance and new ways for objects to report identity, history and properties.
Challenges: Providers will have to address privacy concerns and obtain consent for some types of data use. Users may opt to disable tags to preserve privacy.
Trend 6: Energy-efficient computing: An approach to increasing sustainability through more efficient architecture, code and algorithms; hardware optimized for efficiency; and the use of renewable energy to run systems.
Business benefits: Address legal, commercial and social pressures to improve sustainability by reducing carbon footprint.
Challenges: New hardware, cloud services, skills, tools, algorithms and applications will be required; migrating to new computing platforms will be complex and expensive; energy prices may rise in the short term as green energy demand increases.
Trend 7: Hybrid computing: Combines different compute, storage and network mechanisms to solve computational problems.
Business benefits: Highly efficient, high-speed, transformative innovation environments; AI that performs beyond current technological limits; autonomous businesses powered by higher levels of automation; augmented human capability allowing real-time personalization at scale and use of the human body as a computing platform.
Challenges: Nascent, highly complex technologies require specialized skills; a system of autonomous modules introduces security risks; involves experimental technologies and high costs; need for orchestration and integration.
Trend 4: Post-quantum cryptography (PQC): Data protection that is resistant to quantum computing (QC) decryption risks.
Business benefits: Protects data from the security risks that will come with the advent of quantum computing.
Challenges: PQC algorithms are not drop-in replacements for existing asymmetric algorithms. Current applications may have performance issues, will require testing and may need to be rewritten.
Trend 5: Ambient invisible intelligence: Technology unobtrusively integrated into the environment to enable a more natural, intuitive experiences
Business benefits: Enables low-cost, real-time tracking and sensing of items, improving visibility and efficiency; potential for unforgeable provenance and new ways for objects to report identity, history and properties.
Challenges: Providers will have to address privacy concerns and obtain consent for some types of data use. Users may opt to disable tags to preserve privacy.
Trend 6: Energy-efficient computing: An approach to increasing sustainability through more efficient architecture, code and algorithms; hardware optimized for efficiency; and the use of renewable energy to run systems.
Business benefits: Address legal, commercial and social pressures to improve sustainability by reducing carbon footprint.
Challenges: New hardware, cloud services, skills, tools, algorithms and applications will be required; migrating to new computing platforms will be complex and expensive; energy prices may rise in the short term as green energy demand increases.
Trend 7: Hybrid computing: Combines different compute, storage and network mechanisms to solve computational problems.
Business benefits: Highly efficient, high-speed, transformative innovation environments; AI that performs beyond current technological limits; autonomous businesses powered by higher levels of automation; augmented human capability allowing real-time personalization at scale and use of the human body as a computing platform.
Challenges: Nascent, highly complex technologies require specialized skills; a system of autonomous modules introduces security risks; involves experimental technologies and high costs; need for orchestration and integration.
Theme No. 3: Human-machine synergy brings together the physical and digital worlds
Trend 8: Spatial computing: Digitally enhances the physical world using technologies like augmented and virtual reality to offer immersive experiences.
Business benefits: Addresses consumer demand for immersive and interactive experiences in gaming, education and e-commerce; satisfies demand for sophisticated visualization tools for decision making and efficiency in healthcare, retail and manufacturing.
Challenges: Head-mounted displays are expensive and unwieldy, require frequent charging, isolate users and may increase the potential for accidents; user interfaces are complex; data privacy and security are major concerns.
Trend 9: Polyfunctional robots: Robots capable of performing multiple tasks and seamlessly switching between them as required.
Business benefits: Improved efficiency; faster ROI; no need for architectural changes or bolt-down infrastructure means fast deployment, low risk and scalability; can substitute for or work with humans.
Challenges: The industry hasn’t yet standardized on price or minimum functionality required.
Trend 10: Neurological enhancement: Improving cognitive abilities with technologies that read and decode brain activity.
Business benefits: Human upskilling, safety improvements, personalized education, allowing older people to work longer, next-generation marketing..
Challenges: Initially expensive, limited battery and options for mobility and wireless connectivity; invasive and risky; UBMIs and BBMIs interface directly with the human brain, creating security challenges; ethical concerns (e.g., altering users’ perception of reality).
Trend 8: Spatial computing: Digitally enhances the physical world using technologies like augmented and virtual reality to offer immersive experiences.
Business benefits: Addresses consumer demand for immersive and interactive experiences in gaming, education and e-commerce; satisfies demand for sophisticated visualization tools for decision making and efficiency in healthcare, retail and manufacturing.
Challenges: Head-mounted displays are expensive and unwieldy, require frequent charging, isolate users and may increase the potential for accidents; user interfaces are complex; data privacy and security are major concerns.
Trend 9: Polyfunctional robots: Robots capable of performing multiple tasks and seamlessly switching between them as required.
Business benefits: Improved efficiency; faster ROI; no need for architectural changes or bolt-down infrastructure means fast deployment, low risk and scalability; can substitute for or work with humans.
Challenges: The industry hasn’t yet standardized on price or minimum functionality required.
Trend 10: Neurological enhancement: Improving cognitive abilities with technologies that read and decode brain activity.
Business benefits: Human upskilling, safety improvements, personalized education, allowing older people to work longer, next-generation marketing..
Challenges: Initially expensive, limited battery and options for mobility and wireless connectivity; invasive and risky; UBMIs and BBMIs interface directly with the human brain, creating security challenges; ethical concerns (e.g., altering users’ perception of reality).
document.pdf
29.4 MB
Iran MarTech2024 report, Techrasa Insight
اولین گزارش تکراسا در راستای ایجاد شفافیت و دسترسیپذیری دادهها در صنایع اقتصاد دیجیتال، با نام گزارش جامع تکنولوژیهای بازاریابی ایران روز گذشته منتشر شد. این گزارش ۳۳۴ صفحهای نتیجهی ۱۰۰ مصاحبهی ۳ تا ۷ ساعته با مدیران فعال در حوزهی بازاریابی است.
در این گزارش تلاش شده است با پوشش دیدگاه بازیگران صنعت بازاریابی کشور، بستر همافزایی و همکاری میسر شود تا راهکارهایی برای مواجهه با تحریمها و محدودیتهای بینالمللی در ارائهی سرویسهای بازاریابی دنیا به شرکتهای ایرانی پیدا شود.
#digital #transformation #data #report
اولین گزارش تکراسا در راستای ایجاد شفافیت و دسترسیپذیری دادهها در صنایع اقتصاد دیجیتال، با نام گزارش جامع تکنولوژیهای بازاریابی ایران روز گذشته منتشر شد. این گزارش ۳۳۴ صفحهای نتیجهی ۱۰۰ مصاحبهی ۳ تا ۷ ساعته با مدیران فعال در حوزهی بازاریابی است.
در این گزارش تلاش شده است با پوشش دیدگاه بازیگران صنعت بازاریابی کشور، بستر همافزایی و همکاری میسر شود تا راهکارهایی برای مواجهه با تحریمها و محدودیتهای بینالمللی در ارائهی سرویسهای بازاریابی دنیا به شرکتهای ایرانی پیدا شود.
#digital #transformation #data #report
What is Security Orchestration,
Automation and Response (SOAR)?
Gartner defines SOAR as tools that:
• Collect security threat data and alerts from different sources
• Enable incident analysis, triage and prioritization, both automatically and manually
with machine assistance
• Define and enforce a standard workflow for incident response activities
• Encode incident analysis and response procedures in a digital workflow format,
enabling automation of some or all incident responses.
#security #soar
Automation and Response (SOAR)?
Gartner defines SOAR as tools that:
• Collect security threat data and alerts from different sources
• Enable incident analysis, triage and prioritization, both automatically and manually
with machine assistance
• Define and enforce a standard workflow for incident response activities
• Encode incident analysis and response procedures in a digital workflow format,
enabling automation of some or all incident responses.
#security #soar
#Siem log sources
What is SecOps?
Security operations (SecOps) is a collaboration between security and IT operations teams,
where security and operations staff assume joint ownership and responsibility for security
concerns. It is a set of SOC processes, practices and tools which can help organizations meet
security goals more efficiently.
#secops #security
Security operations (SecOps) is a collaboration between security and IT operations teams,
where security and operations staff assume joint ownership and responsibility for security
concerns. It is a set of SOC processes, practices and tools which can help organizations meet
security goals more efficiently.
#secops #security