Skip to main content
Paid
Orca Security logo
Data & Analytics paid

Orca Security

Verified 7 hours ago
Compare Alternatives Claim this listing
About Orca Security 18s read
1 min read

Agentless cloud security platform with AI attack path analysis, vulnerability prioritisation, and compliance monitoring across AWS, Azure, and GCP. Orca's SideScanning technology reads cloud workload runtime data directly from cloud provider APIs without installing agents. AI features prioritise the critical attack paths that represent genuine business risk rather than overwhelming teams with low-severity findings.

Best for: Multi-cloud organisations seeking complete security visibility without agent deployment overhead
Screenshot
Key Features
  • SideScanning agentless technology
  • AI-driven attack path prioritisation
  • Multi-cloud compliance monitoring
  • Vulnerability and malware detection
  • Data security posture management
Pros & Cons
What we like
Zero-performance-impact agentless scanning approach
Comprehensive multi-cloud coverage in a single platform
AI prioritisation significantly reduces alert noise
What to consider
API-based scanning may miss some runtime-only threats
Pricing can be complex for organisations with diverse cloud footprints
Questions and Answers

No questions yet. Be the first to ask!

Log in to ask a question.

User Reviews

No reviews yet. Be the first to review Orca Security!

Log in to leave a review.

You might also like
Booke AI B
Booke AI
freemium
SentinelOne S
SentinelOne
paid
Apache Superset A
Apache Superset
free
User Reviews

No reviews yet. Be the first to leave a review!

Log in to leave a review.

Was this page helpful?

AI Glossary

The simulation of human intelligence in machines programmed to think, learn, and problem-solve. AI encompasses machine learning, natural language processing, computer vision, and more.

A deep learning model trained on vast text datasets to understand and generate human-like language. Examples include GPT-4, Claude, and Gemini.

AI systems that create new content - text, images, audio, video, or code - based on patterns learned during training rather than retrieving existing data.

The practice of designing and refining input text (prompts) to guide an AI model toward producing more accurate, relevant, or creative outputs.

A computing architecture inspired by the human brain, consisting of interconnected layers of nodes that learn to recognise patterns in data.

A branch of AI where algorithms improve automatically through experience and exposure to data, without being explicitly programmed for each task.

AI technology that enables computers to understand, interpret, and generate human language - the foundation of chatbots, translation tools, and voice assistants.

The process of further training a pre-trained AI model on a specific, smaller dataset to specialise it for a particular task or domain.

When an AI model generates plausible-sounding but factually incorrect or entirely fabricated information, often presenting it with false confidence.

The units of text (roughly 4 characters or ¾ of a word in English) that LLMs process. Model costs and context limits are measured in tokens.

The maximum amount of text (measured in tokens) an LLM can process in a single interaction - both input and output combined.

A technique that enhances LLM outputs by fetching relevant external documents at query time, grounding responses in up-to-date or proprietary data.

Numerical vector representations of text, images, or other data that capture semantic meaning, enabling AI to measure similarity and retrieve relevant content.

The process of running a trained AI model to produce predictions or outputs from new input data - distinct from the training phase.

An AI system that autonomously plans and executes multi-step tasks by combining reasoning, tool use (web search, code execution, APIs), and memory.

AI models that can process and generate multiple types of data - such as text, images, audio, and video - within a single unified system.

A large-scale AI model trained on broad data that serves as a base for many downstream applications via fine-tuning or prompting.

A pricing model where core features are available for free, with premium features, higher usage limits, or advanced capabilities offered via paid plans.

A set of protocols that allows developers to integrate an AI tool's capabilities directly into their own applications and workflows.

Zero-shot means the model handles a task without any examples; few-shot means it is given a small number of examples in the prompt to guide its response.
Trending Now
Claude AI Learning Brain OpenAI Operator
Tool Info
Verified 7 hours ago
Pricing paid
Category Data & Analytics
Added Jun 02, 2026
Source Manual Entry
Visit Website Back to Tools See Alternatives
Share:
Pricing Notes

AI tool pricing changes frequently. The pricing shown was accurate at our last editorial review. We recommend checking the tool's website directly for current plans.

Last reviewed: Oct 19, 2026
Check Current Pricing
Related Tools
Booke AI freemium SentinelOne paid Apache Superset free Akkio freemium
Compare

See how Orca Security stacks up against alternatives.

vs Booke AI vs SentinelOne vs Apache Superset
Pricing
Paid
Visit Tool
Best For

Multi-cloud organisations seeking complete security visibility without agent deployment overhead

Embed this tool

Add a link badge to your website or blog:

People Also Viewed

Booke AI
Booke AI
Freemium
 SentinelOne
SentinelOne
Paid
 Apache Superset
Apache Superset
Free
 Akkio
Akkio
Freemium